diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,201 @@
+ Apache License
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diff --git a/README.md b/README.md
index aefc542c1a516a4896ecf0b7161c7c7604531da4..f80ecf0dd63df1cc33e5050af7d3488a1971f3dd 100644
--- a/README.md
+++ b/README.md
@@ -1,92 +1,44 @@
-# platform
+# Code regarding the oerhub-ce platform
+## Synopsis
+This repository contains oerhub-ce platform code and setup instructions with Ubuntu 24.04.1 LTS.
-## Getting started
+Setup includes sample configuration to embed repositories of partner organisations:
-To make it easy for you to get started with GitLab, here's a list of recommended next steps.
+* University of Vienna, [Phaidra](https://phaidra.univie.ac.at/)
+* University Innsbruck, [oer-repo](https://oer-repo.uibk.ac.at/)
+* University Graz, [oer-portal](https://oer-portal.uni-graz.at/)
+* TU Graz, [repository](https://repository.tugraz.at/)
-Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
+## Prerequisites
-## Add your files
+1. [User setup](doc/user.md)
+2. [Install Docker](doc/docker.md)
+3. [Install GlusterFS](doc/glusterfs.md)
-- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
-- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
+## Deployment
-```
-cd existing_repo
-git remote add origin https://gitlab.phaidra.org/oerhub-ce/platform.git
-git branch -M main
-git push -uf origin main
-```
+1. Build and run oearegistry: [oearegistry](oearegistry)
+2. Build and run oeaplatform: [oeaplatform](doc/oeaplatform)
-## Integrate with your tools
+## Additionals
-- [ ] [Set up project integrations](https://gitlab.phaidra.org/oerhub-ce/platform/-/settings/integrations)
+* Join swarm: [join](doc/join.md)
+* Module OAI-PMH: [cpan](cpan)
-## Collaborate with your team
+## Architecture and
-- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
-- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
-- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
-- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
-- [ ] [Automatically merge when pipeline succeeds](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
+* [Documents](https://gitlab.phaidra.org/oerhub-ce/platform-docs) regarding the oerhub-ce platform
-## Test and Deploy
+## OEA
-Use the built-in continuous integration in GitLab.
+Visit [https://openeducation.at/](https://openeducation.at/) for more information on OEA / Open Education Austria.
-- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
-- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
-- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
-- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
-- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
+## OAI-PMH
-***
+For details about OAI-PMH and LOM visit [wiki](https://gitlab.phaidra.org/petert4/oai-pmh_doc/-/wikis/oai%20pmh)
-# Editing this README
+## Changelog
-When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thank you to [makeareadme.com](https://www.makeareadme.com/) for this template.
-
-## Suggestions for a good README
-Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
-
-## Name
-Choose a self-explaining name for your project.
-
-## Description
-Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
-
-## Badges
-On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
-
-## Visuals
-Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
-
-## Installation
-Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
-
-## Usage
-Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
-
-## Support
-Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
-
-## Roadmap
-If you have ideas for releases in the future, it is a good idea to list them in the README.
-
-## Contributing
-State if you are open to contributions and what your requirements are for accepting them.
-
-For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
-
-You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
-
-## Authors and acknowledgment
-Show your appreciation to those who have contributed to the project.
-
-## License
-For open source projects, say how it is licensed.
-
-## Project status
-If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.
+More about release changes in [version](version.md).
diff --git a/doc/docker.md b/doc/docker.md
new file mode 100644
index 0000000000000000000000000000000000000000..e4d0ce1a5a6a9ae4b40dfbd9a2d3729bd29058c9
--- /dev/null
+++ b/doc/docker.md
@@ -0,0 +1,58 @@
+# Docker
+On all Nodes
+
+> More about docker engine installation: https://docs.docker.com/engine/install/ubuntu/
+
+```
+$ sudo -i
+$ apt update
+$ apt install \
+ ca-certificates \
+ curl
+$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
+$ chmod a+r /etc/apt/keyrings/docker.asc
+$ echo \
+ "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
+ $(. /etc/os-release && echo ""${UBUNTU_CODENAME:-$VERSION_CODENAME}") stable" | \
+ tee /etc/apt/source.list.d/docker.list > /dev/null
+$ apt update
+$ apt install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
+```
+
+Additional HDD (96GB) for docker images and running container (Our root disk with 32GB has not enough free space)
+```
+# lshw -class disk -short
+# parted /dev/sdc mklabel gpt
+# parted -a opt /dev/sdc mkpart primary 0% 100%
+# parted -s -- /dev/sdc set 1 lvm on
+# parted /dev/sdc print
+# pvcreate --dataalignment 128K /dev/sdc1
+# vgcreate --physicalextentsize 128K data_vg /dev/sdc1
+# lvcreate -L 4G --name data_pool_meta data_vg
+# lvcreate -L 80G --name data_pool data_vg
+# lvconvert --chunksize 128K --thinpool data_vg/data_pool --poolmetadata data_vg/data_pool_meta
+# lvchange --zero n data_vg/data_pool
+# lvcreate -V 80G -T data_vg/data_pool -n data_lv
+# mkfs.xfs -f -i size=512 -n size=8192 -d su=128k,sw=1 /dev/data_vg/data_lv
+# mkdir -pv /opt/oea/data
+# echo "echo '/dev/data_vg/data_lv /opt/oea/data xfs defaults 1 2' >> /etc/fstab" | sudo -s
+# mount -a
+```
+
+Docker Configuration
+```
+$ sudo mkdir -pv /opt/oea/data/docker
+$ sudo mkdir -v /etc/systemd/system/docker.service.d
+$ sudo -i
+# touch /etc/systemd/system/docker.service.d/docker-storage.conf
+# echo '[Service]' >> /etc/systemd/system/docker.service.d/docker-storage.conf
+# echo 'ExecStart=/usr/bin/dockerd -H fd:// --data-root="/opt/oea/data/docker"' >> /etc/systemd/system/docker.service.d/docker-storage.conf
+
+$ sudo systemctl daemon-reload
+$ sudo systemctl restart docker
+```
+
+```
+$ sudo usermod -aG docker oea
+```
+
diff --git a/doc/glusterfs.md b/doc/glusterfs.md
new file mode 100644
index 0000000000000000000000000000000000000000..c7d57a4294de46c588bee7a1dfd83b7a2d3ec42c
--- /dev/null
+++ b/doc/glusterfs.md
@@ -0,0 +1,153 @@
+# GlusterFS
+On all Nodes (except HAProxy)
+```
+$ sudo add-apt-repository ppa:gluster/glusterfs-10
+$ sudo apt-get update
+$ sudo apt-get install glusterfs-server
+```
+Attached HDD: 500GB
+```
+$ sudo parted /dev/sdb mklabel gpt
+$ sudo parted -a opt /dev/sdb mkpart primary 0% 100%
+$ sudo parted -s -- /dev/sdb set 1 lvm on
+```
+LVM with Gluster needs a thin pool
+```
+$ sudo pvcreate --dataalignment 128K /dev/sdb1
+$ sudo vgcreate --physicalextentsize 128K gfs_vg /dev/sdb1
+$ sudo lvcreate -L 8G --name gfs_pool_meta gfs_vg
+$ sudo lvcreate -L 480G --name gfs_pool gfs_vg
+$ sudo lvconvert --chunksize 128K --thinpool gfs_vg/gfs_pool --poolmetadata gfs_vg/gfs_pool_meta
+$ sudo lvchange --zero n gfs_vg/gfs_pool
+$ sudo lvcreate -V 480G -T gfs_vg/gfs_pool -n gfs_lv
+$ sudo mkfs.xfs -f -i size=512 -n size=8192 -d su=128k,sw=1 /dev/gfs_vg/gfs_lv
+```
+
+```
+$ sudo mkdir -pv /opt/oea/glusterfs
+$ echo "echo '/dev/gfs_vg/gfs_lv /opt/oea/glusterfs xfs defaults 1 2' >> /etc/fstab" | sudo -s
+$ sudo mount -a
+```
+
+```
+$ sudo systemctl restart glusterd
+$ sudo systemctl status glusterd
+```
+
+# initial node
+
+```
+$ export GLUSTERFS_NODE01_FQDN=<Node01_FQDN>
+$ export GLUSTERFS_NODE01_IP=<Node01_IP>
+```
+
+```
+$ sudo openssl genrsa -out /etc/ssl/glusterfs.key 4096
+$ sudo chmod -v 600 /etc/ssl/glusterfs.key
+$ sudo openssl req -new -x509 -days 365 -key /etc/ssl/glusterfs.key -subj "/CN=$GLUSTERFS_NODE01_FQDN" -out /etc/ssl/glusterfs.pem
+```
+
+```
+$ echo 'cat /etc/ssl/glusterfs.pem > /etc/ssl/glusterfs.ca' | sudo -s
+```
+
+```
+$ sudo touch /var/lib/glusterd/secure-access
+```
+
+```
+$ sudo systemctl restart glusterd
+```
+
+```
+$ sudo mkdir -pv /opt/oea/glusterfs/oea
+```
+
+```
+$ sudo gluster volume create oea $GLUSTERFS_NODE01_FQDN:/opt/oea/glusterfs/oea
+$ sudo gluster volume set oea auth.allow $GLUSTERFS_NODE01_IP
+$ sudo gluster volume set oea auth.ssl-allow "$GLUSTERFS_NODE01_FQDN"
+$ sudo gluster volume set oea client.ssl on
+$ sudo gluster volume set oea server.ssl on
+$ sudo gluster volume set oea ssl.cipher-list 'HIGH:!SSLv2'
+```
+
+```
+$ sudo gluster volume start oea
+```
+
+```
+$ sudo gluster volume info
+$ sudo gluster volume list
+$ sudo gluster volume status
+```
+
+```
+$ sudo mkdir -pv /opt/oea/mnt/glusterfs
+$ echo "echo 'localhost:/oea /opt/oea/mnt/glusterfs glusterfs defaults,_netdev,noauto,x-systemd.automount 0 0' >> /etc/fstab" | sudo -s
+$ sudo mount -a
+```
+
+```
+$ sudo shutdown -r now
+... Please wait until system has restarted and login again ...
+$ sudo systemctl restart glusterd
+$ sudo gluster volume start oea
+```
+
+## extra config gluster volume
+
+GlusterFS <= 3.10.1 needs extra configuration to work with Elasticsearch data files. See [https://bugzilla.redhat.com/show_bug.cgi?id=1379568](https://bugzilla.redhat.com/show_bug.cgi?id=1379568) for why. Even though GlusterFS > 3.10.1 this configuration might be needed.
+
+```
+$ sudo gluster volume get oea all | grep -E 'performance.quick-read|performance.io-cache|performance.write-behind|performance.stat-prefetch|performance.read-ahead|performance.readdir-ahead|performance.open-behind|performance.client-io-threads'
+performance.write-behind-window-size 1MB
+performance.read-ahead-page-count 4
+performance.write-behind on
+performance.read-ahead on
+performance.readdir-ahead on
+performance.io-cache on
+performance.quick-read on
+performance.open-behind on
+performance.stat-prefetch on
+performance.client-io-threads off
+```
+
+```
+$ sudo gluster volume stop oea
+```
+
+```
+$ sudo gluster volume set oea performance.write-behind off
+$ sudo gluster volume set oea performance.read-ahead off
+$ sudo gluster volume set oea performance.readdir-ahead off
+$ sudo gluster volume set oea performance.io-cache off
+$ sudo gluster volume set oea performance.quick-read off
+$ sudo gluster volume set oea performance.open-behind off
+$ sudo gluster volume set oea performance.stat-prefetch off
+$ sudo gluster volume set oea performance.client-io-threads off
+```
+
+```
+$ sudo gluster volume start oea
+```
+
+## renew certificate
+
+```
+$ openssl x509 -enddate -noout -in /etc/ssl/glusterfs.ca
+```
+
+```
+$ sudo systemctl stop glusterd
+```
+
+```
+$ sudo openssl req -new -x509 -days 365 -key /etc/ssl/glusterfs.key -subj "/CN=$GLUSTERFS_NODE01_FQDN" -out /etc/ssl/glusterfs.pem
+$ echo 'cat /etc/ssl/glusterfs.pem > /etc/ssl/glusterfs.ca' | sudo -s
+```
+
+```
+$ sudo systemctl start glusterd
+```
+For the Node 2..X follow the [Join](./join) description.
diff --git a/doc/join.md b/doc/join.md
new file mode 100644
index 0000000000000000000000000000000000000000..a88b54e39734fd37e2533aa4afe41a4b77db9532
--- /dev/null
+++ b/doc/join.md
@@ -0,0 +1,354 @@
+# join
+
+## prerequisites
+Our recommendation is a 4 Node Cluster (mininmum 3 Node). For Test and Development you can use a 2 Node Cluster.
+
+1. [User setup](./user.md)
+2. [Install Docker](./docker.md)
+3. [Install GlusterFS](./glusterfs.md)
+3. [Firewall configuration](../extras/ufw/README.md)
+
+## GlusterFS
+
+```
+Node02:~$ export GLUSTERFS_NODE01_FQDN=<Node01_FQDN>
+Node02:~$ export GLUSTERFS_NODE01_IP=<Node01_IP>
+Node02:~$ export GLUSTERFS_NODE02_FQDN=<Node02_FQDN>
+Node02:~$ export GLUSTERFS_NODE02_IP=<Node02_IP>
+Node02:~$ export GLUSTERFS_NODE03_FQDN=<Node03_FQDN>
+Node02:~$ export GLUSTERFS_NODE03_IP=<Node03_IP>
+Node02:~$ export GLUSTERFS_NODE04_FQDN=<Node04_FQDN>
+Node02:~$ export GLUSTERFS_NODE04_IP=<Node04_IP>
+```
+
+```
+Node02:~$ sudo openssl genrsa -out /etc/ssl/glusterfs.key 4096
+Node02:~$ sudo chmod -v 600 /etc/ssl/glusterfs.key
+Node02:~$ sudo openssl req -new -x509 -days 365 -key /etc/ssl/glusterfs.key -subj "/CN=$GLUSTERFS_NODE02_FQDN" -out /etc/ssl/glusterfs.pem
+```
+
+```
+Node03:~$ export GLUSTERFS_NODE01_FQDN=<Node01_FQDN>
+Node03:~$ export GLUSTERFS_NODE01_IP=<Node01_IP>
+Node03:~$ export GLUSTERFS_NODE02_FQDN=<Node02_FQDN>
+Node03:~$ export GLUSTERFS_NODE02_IP=<Node02_IP>
+Node03:~$ export GLUSTERFS_NODE03_FQDN=<Node03_FQDN>
+Node03:~$ export GLUSTERFS_NODE03_IP=<Node03_IP>
+Node03:~$ export GLUSTERFS_NODE04_FQDN=<Node04_FQDN>
+Node03:~$ export GLUSTERFS_NODE04_IP=<Node04_IP>
+```
+
+```
+Node03:~$ sudo openssl genrsa -out /etc/ssl/glusterfs.key 4096
+Node03:~$ sudo chmod -v 600 /etc/ssl/glusterfs.key
+Node03:~$ sudo openssl req -new -x509 -days 365 -key /etc/ssl/glusterfs.key -subj "/CN=$GLUSTERFS_NODE03_FQDN" -out /etc/ssl/glusterfs.pem
+```
+
+```
+Node04:~$ export GLUSTERFS_NODE01_FQDN=<Node01_FQDN>
+Node04:~$ export GLUSTERFS_NODE01_IP=<Node01_IP>
+Node04:~$ export GLUSTERFS_NODE02_FQDN=<Node02_FQDN>
+Node04:~$ export GLUSTERFS_NODE02_IP=<Node02_IP>
+Node04:~$ export GLUSTERFS_NODE03_FQDN=<Node03_FQDN>
+Node04:~$ export GLUSTERFS_NODE03_IP=<Node03_IP>
+Node04:~$ export GLUSTERFS_NODE04_FQDN=<Node04_FQDN>
+Node04:~$ export GLUSTERFS_NODE04_IP=<Node04_IP>
+```
+
+```
+Node04:~$ sudo openssl genrsa -out /etc/ssl/glusterfs.key 4096
+Node04:~$ sudo chmod -v 600 /etc/ssl/glusterfs.key
+Node04:~$ sudo openssl req -new -x509 -days 365 -key /etc/ssl/glusterfs.key -subj "/CN=$GLUSTERFS_NODE04_FQDN" -out /etc/ssl/glusterfs.pem
+```
+
+Concatenate all pem files
+```
+Node04:~$ scp root@$GLUSTERFS_NODE01_FQDN:/etc/ssl/glusterfs.ca glusterfs.ca
+Node04:~$ scp root@$GLUSTERFS_NODE02_FQDN:/etc/ssl/glusterfs.pem glusterfs.pem.$GLUSTERFS_NODE02_FQDN
+Node04:~$ scp root@$GLUSTERFS_NODE03_FQDN:/etc/ssl/glusterfs.pem glusterfs.pem.$GLUSTERFS_NODE03_FQDN
+Node04:~$ sudo cat glusterfs.pem.$GLUSTERFS_NODE02_FQDN >> glusterfs.ca
+Node04:~$ sudo cat glusterfs.pem.$GLUSTERFS_NODE03_FQDN >> glusterfs.ca
+Node04:~$ sudo cat /etc/ssl/glusterfs.pem >> glusterfs.ca
+Node04:~$ scp glusterfs.ca root@$GLUSTERFS_NODE01_FQDN:/etc/ssl/glusterfs.ca
+Node04:~$ scp glusterfs.ca root@$GLUSTERFS_NODE02_FQDN:/etc/ssl/glusterfs.ca
+Node04:~$ scp glusterfs.ca root@$GLUSTERFS_NODE03_FQDN:/etc/ssl/glusterfs.ca
+Node04:~$ sudo mv -v glusterfs.ca /etc/ssl/glusterfs.ca
+```
+
+Enable secure-access on all Nodes
+```
+Node04:~$ sudo touch /var/lib/glusterd/secure-access
+Node04:~$ sudo mkdir -pv /opt/oea/glusterfs/oea
+Node04:~$ sudo systemctl restart glusterd
+```
+```
+Node03:~$ sudo touch /var/lib/glusterd/secure-access
+Node03:~$ sudo mkdir -pv /opt/oea/glusterfs/oea
+Node03:~$ sudo systemctl restart glusterd
+```
+```
+Node02:~$ sudo touch /var/lib/glusterd/secure-access
+Node02:~$ sudo mkdir -pv /opt/oea/glusterfs/oea
+Node02:~$ sudo systemctl restart glusterd
+```
+
+```
+Node01:~$ export GLUSTERFS_NODE01_FQDN=<Node01_FQDN>
+Node01:~$ export GLUSTERFS_NODE01_IP=<Node01_IP>
+Node01:~$ export GLUSTERFS_NODE02_FQDN=<Node02_FQDN>
+Node01:~$ export GLUSTERFS_NODE02_IP=<Node02_IP>
+Node01:~$ export GLUSTERFS_NODE03_FQDN=<Node03_FQDN>
+Node01:~$ export GLUSTERFS_NODE03_IP=<Node03_IP>
+```
+
+```
+Node01:~$ sudo systemctl restart glusterd
+```
+
+```
+Node01:~$ sudo gluster peer probe $GLUSTERFS_NODE02_FQDN, $GLUSTERFS_NODE03_FQDN
+Node01:~$ sudo gluster peer status
+```
+
+```
+Node01:~$ sudo gluster volume set oea auth.allow $GLUSTERFS_NODE01_IP,$GLUSTERFS_NODE02_IP,$GLUSTERFS_NODE03_IP
+Node01:~$ sudo gluster volume set oea auth.ssl-allow "$GLUSTERFS_NODE01_FQDN,$GLUSTERFS_NODE02_FQDN,$GLUSTERFS_NODE03_FQDN"
+```
+
+```
+Node01:~$ sudo gluster volume add-brick oea replica 2 $GLUSTERFS_NODE02_FQDN:/opt/oea/glusterfs/oea
+Node01:~$ sudo gluster volume add-brick oea replica 3 $GLUSTERFS_NODE03_FQDN:/opt/oea/glusterfs/oea
+Node01:~$ sudo gluster volume heal oea full
+Node01:~$ sudo gluster volume heal oea info
+```
+
+```
+Node02:~$ sudo mkdir -pv /opt/oea/mnt/glusterfs
+Node02:~$ echo "echo 'localhost:/oea /opt/oea/mnt/glusterfs glusterfs defaults,_netdev,noauto,x-systemd.automount 0 0' >> /etc/fstab" | sudo -s
+Node02:~$ sudo mount -a
+Node02:~$ sudo shutdown -r now
+```
+
+```
+Node03:~$ sudo mkdir -pv /opt/oea/mnt/glusterfs
+Node03:~$ echo "echo 'localhost:/oea /opt/oea/mnt/glusterfs glusterfs defaults,_netdev,noauto,x-systemd.automount 0 0' >> /etc/fstab" | sudo -s
+Node03:~$ sudo mount -a
+Node03:~$ sudo shutdown -r now
+```
+
+```
+Node01:~$ sudo shutdown -r now
+```
+
+### renew certificate
+
+```
+Node02:~$ openssl x509 -enddate -noout -in /etc/ssl/glusterfs.ca
+```
+
+```
+Node02:~$ sudo systemctl stop glusterd
+```
+
+```
+Node02:~$ sudo openssl req -new -x509 -days 365 -key /etc/ssl/glusterfs.key -subj "/CN=$GLUSTERFS_NODE02_FQDN" -out /etc/ssl/glusterfs.pem
+Node02:~$ scp root@$GLUSTERFS_NODE01_FQDN:/etc/ssl/glusterfs.ca .
+Node02:~$ sudo cat /etc/ssl/glusterfs.pem >> glusterfs.ca
+Node02:~$ scp glusterfs.ca root@$GLUSTERFS_NODE01_FQDN:/etc/ssl/glusterfs.ca
+Node02:~$ sudo mv -v glusterfs.ca /etc/ssl/glusterfs.ca
+```
+
+```
+Node02:~$ sudo systemctl start glusterd
+```
+
+### benchmark
+
+#### local
+
+```
+Node01:~$ cd /opt/oea/mnt/
+Node01:~$ sudo mkdir local
+Node01:~$ sudo dd if=/dev/zero of=/opt/oea/mnt/local/benchmark_local.img bs=1G count=1 oflag=dsync
+1+0 records in
+1+0 records out
+1073741824 bytes (1.1 GB, 1.0 GiB) copied, 2.20512 s, 487 MB/s
+```
+
+#### glusterfs
+
+```
+Node01:~$ sudo dd if=/dev/zero of=/opt/oea/mnt/glusterfs/benchmark_glusterfs.img bs=1G count=1 oflag=dsync
+1+0 records in
+1+0 records out
+1073741824 bytes (1.1 GB, 1.0 GiB) copied, 35.9641 s, 29.9 MB/s
+```
+
+##### w/ extra config gluster volume
+
+```
+Node01:~$ sudo dd if=/dev/zero of=/opt/oea/mnt/glusterfs/benchmark_glusterfs.img bs=1G count=1 oflag=dsync
+1+0 records in
+1+0 records out
+1073741824 bytes (1.1 GB, 1.0 GiB) copied, 33.1838 s, 32.4 MB/s
+```
+
+#### cleanup
+
+```
+Node01:~$ sudo rm -v /opt/oea/mnt/local/benchmark_local.img
+removed '/opt/oea/mnt/local/benchmark_local.img'
+Node01:~$ sudo rm -v /opt/oea/mnt/glusterfs/benchmark_glusterfs.img
+removed '/opt/oea/mnt/glusterfs/benchmark_glusterfs.img'
+```
+
+## Docker swarm
+
+[Open protocols and ports between the hosts](https://docs.docker.com/engine/swarm/swarm-tutorial/#open-protocols-and-ports-between-the-hosts):
+```
+Open protocols and ports between the hosts
+
+The following ports must be available. On some systems, these ports are open by default.
+
+ TCP port 2377 for cluster management communications
+ TCP and UDP port 7946 for communication among nodes
+ UDP port 4789 for overlay network traffic
+
+If you are planning on creating an overlay network with encryption (--opt encrypted), you will also need to ensure ip protocol 50 (ESP) traffic is allowed.
+```
+
+### deployment
+
+#### ssl certificate (for all Proxy- and Webservice)
+
+```
+Node02:~# mkdir -pv /opt/oea/data/etc/nginx/ssl
+Node02:~# cp -pv /path/to/nginx.key /path/to/nginx.crt /opt/oea/data/etc/nginx/ssl
+Node02:~# tree /opt/oea/data/etc
+opt/oea/data/etc
+└── nginx
+ └── ssl
+ ├── nginx.crt
+ └── nginx.key
+
+3 directories, 2 files
+```
+#### oearegistry
+
+```
+Node02:~$ export DOCKER_REGISTRY=localhost:5443
+Node02:~$ export DOCKER_REGISTRY_FQDN=<Node02_FQDN>:5443
+```
+
+##### bootstrap node
+
+```
+Node02:~$ export DOCKER_REGISTRY_FQDN=<Node01_FQDN>:5443
+Node02:~$ docker login --username=user $DOCKER_REGISTRY_FQDN
+Password:
+Login Succeeded
+Node02:~$ docker pull $DOCKER_REGISTRY_FQDN/regproxy:current
+Node02:~$ docker tag $DOCKER_REGISTRY_FQDN/regproxy:current $DOCKER_REGISTRY/regproxy:current
+Node02:~$ docker rmi $DOCKER_REGISTRY_FQDN/regproxy:current
+Node02:~$ docker pull $DOCKER_REGISTRY_FQDN/registry:current
+Node02:~$ docker tag $DOCKER_REGISTRY_FQDN/registry:current $DOCKER_REGISTRY/registry:current
+Node02:~$ docker rmi $DOCKER_REGISTRY_FQDN/registry:current
+Node02:~$ docker images
+REPOSITORY TAG IMAGE ID CREATED SIZE
+localhost:5443/regproxy current 1de1b899606e 47 hours ago 303MB
+localhost:5443/registry current 751f286bc25e 12 days ago 33.2MB
+Node02:~$ rm -rf .docker/
+Node02:~$ export DOCKER_REGISTRY_FQDN=<Node02_FQDN>:5443
+```
+
+#### oeaplatform
+
+```
+Node02:~# groupadd -r -g 9000 dkr && useradd -r -u 9000 -g 9000 dkr
+```
+
+```
+Node02:~# cat /proc/sys/vm/max_map_count
+65530
+Node02:~# sysctl -w vm.max_map_count=262144
+Node02:~# cat /proc/sys/vm/max_map_count
+262144
+Node02:~# echo 'vm.max_map_count = 262144' >> /etc/sysctl.conf
+```
+
+##### additional node
+
+```
+Node02:~# mkdir -pv /opt/oea/data/oeaplatform/index/usr/share/opensearch/data
+Node02:~# mkdir -pv /opt/oea/data/oeaplatform/index/var/log/opensearch
+Node02:~# chown -v dkr:dkr /opt/oea/data/oeaplatform/index/usr/share/opensearch/data
+Node02:~# chown -v dkr:dkr /opt/oea/data/oeaplatform/index/var/log/opensearch
+Node02:~# tree /opt/oea/data/oeaplatform/index/
+/opt/oea/data/oeaplatform/index/
+├── usr
+│ └── share
+│ └── opensearch
+│ └── data
+└── var
+ └── log
+ └── opensearch
+
+7 directories, 0 files
+```
+
+### join
+
+```
+Node01:~$ docker swarm join-token manager
+To add a manager to this swarm, run the following command:
+
+ docker swarm join \
+ --token SWMTKN-1-1qr49apslclv17793kh681sjfox3linq2ozzulegw5lrhuryuy-4s9bdh7bx85nfmnbe2xdinks1 \
+ 192.168.0.10:2377
+
+```
+
+```
+Node02:~$ docker swarm join \
+> --token SWMTKN-1-1qr49apslclv17793kh681sjfox3linq2ozzulegw5lrhuryuy-4s9bdh7bx85nfmnbe2xdinks1 \
+> 192.168.0.10:2377
+This node joined a swarm as a manager.
+```
+
+```
+Node02:~$ docker service ls
+ID NAME MODE REPLICAS IMAGE PORTS
+w90u3usbni50 oeaplatform_index global 4/4 localhost:5443/index:current
+lcmrmys5b0z0 oeaplatform_metaharvest replicated 4/4 localhost:5443/metaharvest:current
+c6d4wp0s02dp oeaplatform_metaingest replicated 4/4 localhost:5443/metaingest:current
+uy2il6ygom3b oeaplatform_monitor replicated 1/1 localhost:5443/monitor:current
+w9bmmmiayw88 oeaplatform_mq replicated 1/1 localhost:5443/mq:current
+3huakp7pgntm oeaplatform_stats replicated 1/1 localhost:5443/stats:current
+j2q1wp2s1awj oeaplatform_webserver global 4/4 localhost:5443/webserver:current
+k7ng4r9a2pky oearegistry_registry replicated 1/1 localhost:5443/registry:current
+v6fnsatrtjjr oearegistry_regproxy global 4/4 localhost:5443/regproxy:current
+```
+
+### how to remove a node
+
+demote -> drain -> leave -> remove
+```
+Node01:~$ docker node demote Node02
+Manager Node02 demoted in the swarm.
+```
+
+```
+Node01:~$ docker node update --availability drain Node02
+Node02
+```
+
+```
+Node02:~$ docker swarm leave
+Node left the swarm.
+```
+
+```
+Node01:~$ docker node rm Node02
+Node02
+```
+
diff --git a/doc/oeaplatform/README.md b/doc/oeaplatform/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..ae0313b337e0fc388f317ee11183af0762182f74
--- /dev/null
+++ b/doc/oeaplatform/README.md
@@ -0,0 +1,593 @@
+# Oeaplatform
+
+```
+# mkdir -pv /opt/oea/data/etc/nginx/ssl
+# cp -pv /path/to/nginx.key /path/to/nginx.crt /opt/oea/data/etc/nginx/ssl
+# tree /opt/oea/data/etc
+/opt/oea/data/etc
+└── nginx
+ └── ssl
+ ├── nginx.crt
+ └── nginx.key
+
+3 directories, 2 files
+```
+
+```
+# groupadd -r -g 9000 dkr && useradd -r -u 9000 -g 9000 dkr
+```
+
+Important settings for OpenSearch:
+
+```
+# cat /proc/sys/vm/max_map_count
+65530
+# sysctl -w vm.max_map_count=262144
+# cat /proc/sys/vm/max_map_count
+262144
+# echo 'vm.max_map_count = 262144' >> /etc/sysctl.conf
+```
+
+## Initial Node
+
+```
+# mkdir -pv /opt/oea/data/oeaplatform/index/usr/share/opensearch/data
+# mkdir -pv /opt/oea/data/oeaplatform/index/usr/share/opensearch/logs
+# chown -v dkr:dkr /opt/oea/data/oeaplatform/index/usr/share/opensearch/data
+# chown -v dkr:dkr /opt/oea/data/oeaplatform/index/usr/share/opensearch/logs
+# tree /opt/oea/data/oeaplatform/index/
+/opt/oea/data/oeaplatform/index/
+├── usr
+│ └── share
+│ └── opensearch
+│ └── data
+└── usr
+ └── share
+ └── opensearch
+ └── logs
+
+8 directories, 0 files
+
+# mkdir -pv /opt/oea/data/oeaplatform/stats/var/log/opensearch-dashboards
+# chown -v dkr:dkr /opt/oea/data/oeaplatform/stats/var/log/opensearch-dashboards
+# tree /opt/oea/data/oeaplatform/stats
+/opt/oea/data/oeaplatform/stats
+└── var
+ └── log
+ └── opensearch-dashboards
+
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/webserver/var/log/nginx
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/mq/var/lib/rabbitmq
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/mq/var/log/rabbitmq
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/log
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/tmp
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/metaingest/home/perl/metaingest/log
+# chown -v dkr:dkr /opt/oea/mnt/glusterfs/oeaplatform/mq/var/lib/rabbitmq
+# chown -v dkr:dkr /opt/oea/mnt/glusterfs/oeaplatform/mq/var/log/rabbitmq
+# chown -v dkr:dkr /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/log
+# chown -v dkr:dkr /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/tmp
+# chown -v dkr:dkr /opt/oea/mnt/glusterfs/oeaplatform/metaingest/home/perl/metaingest/log
+# tree /opt/oea/mnt/glusterfs/oeaplatform/
+/opt/oea/mnt/glusterfs/oeaplatform/
+├── metaharvest
+│ └── home
+│ └── perl
+│ └── metaharvest
+│ ├── log
+│ └── tmp
+├── metaingest
+│ └── home
+│ └── perl
+│ └── metaingest
+│ └── log
+├── mq
+│ └── var
+│ ├── lib
+│ │ └── rabbitmq
+│ └── log
+│ └── rabbitmq
+└── webserver
+ └── var
+ └── log
+ └── nginx
+```
+
+```
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/webserver/etc/nginx/auth_basic
+# echo -n 'admin:' >> /opt/oea/mnt/glusterfs/oeaplatform/webserver/etc/nginx/auth_basic/.htpasswd
+# openssl passwd -apr1 >> /opt/oea/mnt/glusterfs/oeaplatform/webserver/etc/nginx/auth_basic/.htpasswd
+Password:
+Verifying - Password:
+# tree -a /opt/oea/mnt/glusterfs/oeaplatform/webserver/
+/opt/oea/mnt/glusterfs/oeaplatform/webserver/
+├── etc
+│ └── nginx
+│ └── auth_basic
+│ └── .htpasswd
+└── var
+ └── log
+ └── nginx
+
+6 directories, 1 file
+```
+
+```
+# mkdir -pv /opt/oea/mnt/glusterfs/oeaplatform/mq/etc/rabbitmq
+$ export RABBITMQ_ADMIN_PASSWORD=$(pwgen -sv -N 1 32)
+$ export RABBITMQ_PRODUCER_PASSWORD=$(pwgen -sv -N 1 32)
+$ export RABBITMQ_CONSUMER_PASSWORD=$(pwgen -sv -N 1 32)
+$ export RABBITMQ_ADMIN_PASSWORD_HASH=$( \
+ SALT=$(pwgen -s -N 1 4 | tr -d '\n' | od -An -t x | tr -d '[:space:]') \
+ && echo -n "$SALT$(echo -n "$SALT$(echo -n $RABBITMQ_ADMIN_PASSWORD | xxd -pu)" | xxd -r -pu | sha256sum | cut -d ' ' -f1)" | xxd -r -pu | base64 \
+)
+$ export RABBITMQ_PRODUCER_PASSWORD_HASH=$( \
+ SALT=$(pwgen -s -N 1 4 | tr -d '\n' | od -An -t x | tr -d '[:space:]') \
+ && echo -n "$SALT$(echo -n "$SALT$(echo -n $RABBITMQ_PRODUCER_PASSWORD | xxd -pu)" | xxd -r -pu | sha256sum | cut -d ' ' -f1)" | xxd -r -pu | base64 \
+)
+$ export RABBITMQ_CONSUMER_PASSWORD_HASH=$( \
+ SALT=$(pwgen -s -N 1 4 | tr -d '\n' | od -An -t x | tr -d '[:space:]') \
+ && echo -n "$SALT$(echo -n "$SALT$(echo -n $RABBITMQ_CONSUMER_PASSWORD | xxd -pu)" | xxd -r -pu | sha256sum | cut -d ' ' -f1)" | xxd -r -pu | base64 \
+)
+$ sudo envsubst < rabbitmq/config/definitions.json.tmpl > /opt/oea/mnt/glusterfs/oeaplatform/mq/etc/rabbitmq/definitions.json
+# tree /opt/oea/mnt/glusterfs/oeaplatform/mq/etc/rabbitmq/
+/opt/oea/mnt/glusterfs/oeaplatform/mq/etc/rabbitmq/
+└── definitions.json
+
+0 directories, 1 file
+$ echo $RABBITMQ_PRODUCER_PASSWORD | docker secret create mq_producer_pass -
+xs1ui6j7pskyfqr77ibei36cv
+$ echo $RABBITMQ_CONSUMER_PASSWORD | docker secret create mq_consumer_pass -
+jjb6hu93m5exoscp3e6gwa27a
+$ docker secret ls
+ID NAME DRIVER CREATED UPDATED
+jjb6hu93m5exoscp3e6gwa27a mq_consumer_pass 14 seconds ago 14 seconds ago
+xs1ui6j7pskyfqr77ibei36cv mq_producer_pass 19 seconds ago 19 seconds ago
+```
+
+```
+# cp -r metaharvest/perl/etc /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/etc
+# tree /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/etc/
+/opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/etc/
+├── daemon
+│ └── config.yml
+└── jobs
+ ├── payload.yml
+ └── sanity.yml
+
+2 directories, 3 files
+```
+
+```
+# cp -r metaingest/perl/etc /opt/oea/mnt/glusterfs/oeaplatform/metaingest/home/perl/metaingest/etc
+# tree /opt/oea/mnt/glusterfs/oeaplatform/metaingest/home/perl/metaingest/etc/
+/opt/oea/mnt/glusterfs/oeaplatform/metaingest/home/perl/metaingest/etc/
+├── daemon
+│ └── config.yml
+├── queues
+│ ├── payload.yml
+│ └── sanity.yml
+```
+
+### Build
+
+```
+$ ./build_fresh_oeaplatform.sh
+```
+
+Check the pushed images on your private registry:
+```
+$ curl -XGET -u user https://$DOCKER_REGISTRY_FQDN/v2/_catalog
+Enter host password for user 'user':
+{"repositories":["index","metaharvest","metaingest","mq","registry","regproxy","stats","webserver"]}
+```
+
+### Stack deploy and remove
+
+```
+$ docker stack deploy --detach=true --prune --with-registry-auth -c docker-compose.yml oeaplatform
+Ignoring unsupported options: build
+
+Creating network oeaplatform_frontend
+Creating network oeaplatform_backend
+Creating service oeaplatform_metaharvest
+Creating service oeaplatform_metaingest
+Creating service oeaplatform_webserver
+Creating service oeaplatform_index
+Creating service oeaplatform_stats
+Creating service oeaplatform_mq
+Creating service oeaplatform_frontend-client
+Creating service oeaplatform_frontend-server
+```
+
+```
+docker service ls|grep oeaplatform
+ryb9h4p22jtb oeaplatform_frontend-client global 4/4 localhost:5443/frontend-client:current
+uvh5hb0hhp7y oeaplatform_frontend-server global 4/4 localhost:5443/frontend-server:current
+26nlgu8rmenq oeaplatform_index global 4/4 localhost:5443/index:current
+kblqck36ezo8 oeaplatform_metaharvest replicated 7/7 localhost:5443/metaharvest:current
+n4f2a0t70r21 oeaplatform_metaingest replicated 7/7 localhost:5443/metaingest:current
+pbn3hsvhc7dq oeaplatform_mq replicated 1/1 localhost:5443/mq:current
+m8zsl6g9rm91 oeaplatform_stats replicated 1/1 localhost:5443/stats:current
+zq1w3fpwqtis oeaplatform_webserver global 4/4 localhost:5443/webserver:current
+```
+
+* [Frontend](https://<Node01_FQDN>:443)
+* [RabbitMQ](https://<Node01_FQDN>:15443)
+* [Dashboards](https://<Node01_FQDN>:8443/status)
+
+```
+$ docker stack rm oeaplatform
+Removing service oeaplatform_index
+Removing service oeaplatform_metaharvest
+Removing service oeaplatform_metaingest
+Removing service oeaplatform_mq
+Removing service oeaplatform_stats
+Removing service oeaplatform_webserver
+Removing service oeaplatform_frontend-client
+Removing service oeaplatform_frontend-server
+Removing network oeaplatform_backend
+Removing network oeaplatform_frontend
+```
+
+### Init Opensearch
+create index for each repo, alias and vocabs
+#### Deploy script and configuarion
+Go to the folder opensearch and tar.gz the folder `custom` and copy into the running container `index`
+```
+$ cd opensearch
+$ tar -cvzf custom.tgz custom
+### copy custom.tgz into the running container
+$ docker cp custom.tgz $(docker ps |grep 'index:'| awk ' {print $1}'):/home/custom.tgz
+```
+#### Run script in container
+start a bash of container `index` as user root (option -u 0)
+```
+$ docker exec -it -u 0 $(docker ps |grep 'index:'| awk ' {print $1}') bash
+```
+Extract the `custom.tgz` and cd into folder `custom`
+```
+$ cd /home
+$ tar -zxf custom.tgz
+$ cd custom
+$ ./build_fresh_index.sh
+```
+
+### Init RabbitMQ
+
+```
+$ docker exec -ti oeaplatform_mq.1.25pjrg5k4bnmic35topp1s6zd \
+ python3 /opt/rabbitmqadmin -u admin -p $RABBITMQ_ADMIN_PASSWORD \
+ declare queue name=<index_01> durable=true auto_delete=false
+queue declared
+$ docker exec -ti oeaplatform_mq.1.25pjrg5k4bnmic35topp1s6zd \
+ python3 /opt/rabbitmqadmin -u admin -p $RABBITMQ_ADMIN_PASSWORD \
+ list queues
++------------+----------+
+| name | messages |
++------------+----------+
+| <index_01> | 0 |
++------------+----------+
+```
+List of message queues to declare:
+- oer-portal.uni-graz.at
+- oer-repo.uibk.ac.at
+- oer.fh-salzburg.ac.at
+- phaidra.univie.ac.at
+- repository.tugraz.at
+- gecko.aau.at
+- door.donau-uni.ac.at
+- phaidra.fh-kaernten.at
+
+### Configuration
+#### Metaharvest
+The harvester has the follwoing yml configuration files
+```
+$ tree etc
+etc
+├── daemon
+│ └── config.yml
+└── jobs
+ ├── payload.yml
+ └── sanity.yml
+```
+##### config.yml
+Configuration of the daemon.
+```yaml
+#
+# YAML Config
+# regarding daemon
+#
+
+#
+# CTRL
+ctrl:
+ sleep: 3 # seconds between loops; default 10
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ dryrun: 0 # <0|1>; default 0
+ log:
+ path: 'log'
+ filename: 'daemon.log'
+
+#
+# Jobs
+jobs:
+ lock:
+ path: 'tmp'
+ ext: '.lock'
+```
+##### payload.yml
+In `payload.yml` the deamon gets the job details of each repository.
+```yaml
+#
+# YAML Config
+# regarding payload
+#
+
+#
+# Jobs
+jobs:
+ <repo_id>:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 2 # <0|1|2>; default 2
+ debug: 1 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-repo.uibk.ac.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: '<message_queue_id>'
+ uri:
+ scheme: 'https'
+ authority : '//<FQDN>'
+ path: '/edu-sharing/eduservlet/oai/provider'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'default'
+ handler: '<hadler_identifier>'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+```
+
+| Key | Value |
+|-----|-------|
+| <repo_id> | Identifies the repository |
+| type | Supported Values:<br>- <b>OAIHarvest_LOM</b><br>- <b>OAIHarvest_DC</b> (Not used in oerhub-ce) |
+| mq.routing_key | <i><message_queue_id></i> Name of Queue |
+| uri.path | Path:<br>- <b>/edu-sharing/eduservlet/oai/provider</b> (Repos based on edu-sharing)<br>- <b>/oai2d</b> (Repos based on Invenio)<br>- <b>/api/oai</b> (Repos based on Phaidra) |
+| uri.parameters.handler | <i><handler_identifier></i> Supported Values:<br>- <b>OAI_LOM_edusharing</b> (Repos based on edu-sharing and Phaidra)<br>- <b>OAI_LOM_invenio</b> (Repos based on Invenio) |
+
+Example:
+```yaml
+#
+# YAML Config
+# regarding payload
+#
+
+#
+# Jobs
+jobs:
+ oer-repo.uibk.ac.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 2 # <0|1|2>; default 2
+ debug: 1 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-repo.uibk.ac.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'oer-repo.uibk.ac.at'
+ uri:
+ scheme: 'https'
+ authority : '//oer-repo.uibk.ac.at'
+ path: '/edu-sharing/eduservlet/oai/provider'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'default'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+```
+
+#### Metaingest
+The Ingester has the follwoing yml configuration files
+```
+$ tree etc/
+etc/
+├── daemon
+│ └── config.yml
+├── queues
+│ ├── payload.yml
+│ └── sanity.yml
+├── sources
+ ├── vocabs
+ └── config.yml
+```
+##### config.yml
+Configuration of the daemon.
+```yaml
+#
+# YAML Config
+# regarding daemon
+#
+
+#
+# CTRL
+ctrl:
+ # sleep: 1 # seconds between resurrection loops; default 10
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ dryrun: 0 # <0|1>; default 0
+ log:
+ path: 'log'
+ filename: 'daemon.log'
+```
+##### payload.yml
+In `payload.yml` the deamon gets the job details of each repository.
+```yaml
+#
+# YAML Config
+# regarding payload
+#
+
+#
+# CTRL
+ctrl:
+ verbosity: 0 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'app.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'consumer'
+ pass: '/run/secrets/mq_consumer_pass'
+ vhost: '/'
+ prefetch_count: 1 # <42>; default 1
+ objects:
+ max: 0 # <42>; 0:all, <42>:such many
+ sleep:
+ batch: 0.001 # seconds to sleep between receiving messages
+ pre: 2 # seconds to sleep before workout of queues
+
+#
+# Queues
+queues:
+ <message_queue_id>:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-repo.uibk.ac.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//<service_name>:9200'
+ path: '/<repo_index_name>'
+ ingest:
+ age: '1d'
+```
+
+| Key | Value |
+|-----|-------|
+| <i><message_queue_id></i> | Name of Queue |
+| type | Supported Values:<br>- <b>OAIIngest_LOM_edusharing</b> (Repos based on edu-sharing and Phaidra)<br>- <b>OAIIngest_LOM_invenio</b> (Repos based on Invenio) |
+| uri.authority | <i><service_name></i> is the Service Name <b>index</b> used by Docker Container |
+| uri.path | <i><repo_index_name></i> is the index name in OpenSearch used for the Repo |
+| ingest.age | Age of an Object before removing it from Index. Supported Values:<br>- <b>Xd</b> X Days (Example: 1d)<br>- <b>Ys</b> Y Seconds (Example: 3600s)|
+
+Example queues section:
+```yaml
+queues:
+ oer-repo.uibk.ac.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-repo.uibk.ac.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/oer-repo.uibk.ac.at'
+ ingest:
+ age: '1d'
+```
+### Development Hints
+#### Frontend
+
+The application frontend has a server (search API) and client (web application) part
+```
+$ ./frontend/server/
+$ ./frontend/client/
+
+```
+
+
+```
+$ docker service update --force oeaplatform_frontend-server
+oeaplatform_frontend-server
+$ docker service update --force oeaplatform_frontend-client
+oeaplatform_frontend-client
+```
+
+Libraries utilized:
+* [Vue.js](https://vuejs.org/)
+* [NuxtJS/](https://nuxtjs.org/)
+* [tailwind](https://tailwindcss.nuxtjs.org/)
+
+#### Metaharvest
+How to exec a the test-script for metaharvest:
+```
+$ vim metaharvest/perl/daemon.pl
+$ docker exec oeaplatform_metaharvest.1.jh5hpk0zf05ygscek34ofzjxr /home/perl/metaharvest/t/run.sh
+/home/perl/metaharvest/t/00_compile.t .. ok
+[..]
+Result: PASS
+```
+
+```
+$ docker service update --force oeaplatform_metaharvest
+oeaplatform_metaharvest
+```
+
+#### Metaingest
+How to exec a the test-script for metaingest:
+```
+$ vim metaingest/perl/daemon.pl
+$ docker exec oeaplatform_metaingest.1.u77atafrsk3bjudku6anr3mn3 /home/perl/metaingest/t/run.sh
+/home/perl/metaingest/t/00_compile.t .. ok
+[..]
+Result: PASS
+```
+
+```
+$ docker service update --force oeaplatform_metaingest
+oeaplatform_metaingest
+```
+
+ÖFOS classification extracted from [STATISTIK AUSTRIA/Klassifikationsdatenbank](http://www.statistik.at/KDBWeb/kdb_DownloadsAnzeigen.do?AUFRUF=klass&KLASSID=10515&KLASSNAME=__FOS).
+
+### Rebuild
+
+```
+
+$ ./rebuild.sh -b metaharvest
+$ ./rebuild.sh -b metaingest
+$ ./rebuild.sh -b webserver
+$ ./rebuild.sh -b mq
+$ ./rebuild.sh -b index
+$ ./rebuild.sh -b stats
+$ ./rebuild.sh -b frontend-server
+$ ./rebuild.sh -b frontend-client
+```
+
+```
+$ curl -XGET -u user https://$DOCKER_REGISTRY_FQDN/v2/_catalog
+Enter host password for user 'user':
+{"repositories":["index","metaharvest","metaingest","mq","registry","regproxy","stats","webserver","frontend-client","frontend-server"]}
+$ curl -XGET -u user https://$DOCKER_REGISTRY_FQDN/v2/index/tags/list
+Enter host password for user 'user':
+{"name":"index","tags":["current"]}
+```
diff --git a/doc/user.md b/doc/user.md
new file mode 100644
index 0000000000000000000000000000000000000000..e50123dc3fbf4095ed6eafcc98fd44a59873b501
--- /dev/null
+++ b/doc/user.md
@@ -0,0 +1,20 @@
+# User
+
+```
+$ sudo useradd -d /home/oea -m oea
+$ sudo chsh -s /bin/bash oea
+```
+
+## initial node
+
+```
+$ sudo su - oea
+$ ssh-keygen -t rsa -b 4096
+$ # add .ssh/id_rsa.pub to https://gitlab.phaidra.org/settings/ssh
+$ mkdir -pv ~/work/gitlab.phaidra.org/oerhub-ce/
+$ cd ./work/gitlab.phaidra.org/oerhub-ce/
+$ git clone git@gitlab.phaidra.org:oerhub-ce/platform.git
+$ cd platform
+$ # work from here
+```
+
diff --git a/oeaplatform/build_fresh_oeaplatform.sh b/oeaplatform/build_fresh_oeaplatform.sh
new file mode 100755
index 0000000000000000000000000000000000000000..af8f199d487b903257dfb0e0191fd98272e134d3
--- /dev/null
+++ b/oeaplatform/build_fresh_oeaplatform.sh
@@ -0,0 +1,18 @@
+#!/bin/bash
+
+export DOCKER_REGISTRY=localhost:5443
+export DOCKER_BUILDDATE=`date +%Y-%m-%d`
+TAG=`date +%Y-%m-%dT%H.%M.%S` && docker compose build --no-cache --pull
+OEA_VERSION=current
+OEA_VERSIONNR=1.0.0.00-ce
+allowedImages="stats metaingest metaharvest index frontend-client frontend-server webserver mq"
+
+for allowedImage in $allowedImages ; do
+ ID=`docker images -q $DOCKER_REGISTRY/$allowedImage:$OEA_VERSION` && docker tag $ID $allowedImage:$TAG && docker tag $ID $DOCKER_REGISTRY/$allowedImage:$OEA_VERSIONNR
+done
+
+for allowedImage in $allowedImages ; do
+ docker push $DOCKER_REGISTRY/$allowedImage:$OEA_VERSION
+ docker push $DOCKER_REGISTRY/$allowedImage:$OEA_VERSIONNR
+done
+docker rmi $(docker images -f "dangling=true" -q)
diff --git a/oeaplatform/docker-compose.yml b/oeaplatform/docker-compose.yml
new file mode 100644
index 0000000000000000000000000000000000000000..da6e8bd5828af4971376eafb2d0b0c00db6fe619
--- /dev/null
+++ b/oeaplatform/docker-compose.yml
@@ -0,0 +1,251 @@
+version: '3.8'
+services:
+ webserver:
+ build:
+ context: ./nginx
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_VERSION=1.26.3
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/webserver:current"
+ environment:
+ TZ: "Europe/Vienna"
+ volumes:
+ - /opt/oea/mnt/glusterfs/oeaplatform/webserver/var/log/nginx:/var/log/nginx
+ - /opt/oea/mnt/glusterfs/oeaplatform/webserver/etc/nginx/auth_basic:/etc/nginx/auth_basic:ro
+ - /opt/oea/data/etc/nginx/ssl:/etc/nginx/ssl:ro
+ ports:
+ - target: 80
+ published: 80
+ protocol: tcp
+ mode: host
+ - target: 443
+ published: 443
+ protocol: tcp
+ mode: host
+ - target: 8443
+ published: 8443
+ protocol: tcp
+ mode: host
+ - target: 15443
+ published: 15443
+ protocol: tcp
+ mode: host
+ networks:
+ - frontend
+ deploy:
+ mode: global
+ endpoint_mode: dnsrr
+ depends_on:
+ - index
+ - mq
+ - stats
+ frontend-server:
+ build:
+ context: ./frontend/server
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_NODE_VERSION=20.18.3
+ - APP_NODE_MAJOR_VERSION=20
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/frontend-server:current"
+ environment:
+ INDEX_BASE_URL: https://www.oerhub.at/q/v1/
+ NODE_ENV: production
+ TZ: "Europe/Vienna"
+ networks:
+ - frontend
+ deploy:
+ mode: global
+ endpoint_mode: dnsrr
+ depends_on:
+ - webserver
+ frontend-client:
+ build:
+ context: ./frontend/client
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_NODE_VERSION=20.18.3
+ - APP_NODE_MAJOR_VERSION=20
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/frontend-client:current"
+ environment:
+ # set env vars for node to be read, without it it'll listen on the container's "localhost" only
+ FRONTEND_SERVER_BASE_URL: https://www.example.at
+ ANALYTICS_SERVER_BASE_URL: https://www.example.at/mwa
+ ANALYTICS_SITE_ID: 1
+ NODE_ENV: production
+ HOST: 0.0.0.0
+ TZ: "Europe/Vienna"
+ networks:
+ - frontend
+ deploy:
+ mode: global
+ endpoint_mode: dnsrr
+ depends_on:
+ - webserver
+ index:
+ build:
+ context: ./opensearch
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_VERSION=2.19.0
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/index:current"
+ volumes:
+ - /opt/oea/data/oeaplatform/index/usr/share/opensearch/data:/usr/share/opensearch/data
+ - /opt/oea/data/oeaplatform/index/usr/share/opensearch/logs:/usr/share/opensearch/logs
+ environment:
+ - cluster.name=oeaplatform-index
+ - node.name={{.Node.Hostname}}
+ - discovery.seed_hosts=tasks.oeaplatform_index
+ - cluster.initial_master_nodes=oea01,oea02,oea03
+ - network.bind_host=0.0.0.0
+ - network.publish_host=_eth0:ipv4_
+ - bootstrap.memory_lock=true
+ - "OPENSEARCH_JAVA_OPTS=-Xms2g -Xmx2g"
+ - TZ="Europe/Vienna"
+ ulimits:
+ memlock:
+ soft: -1
+ hard: -1
+ nofile:
+ soft: 65536
+ hard: 65536
+ networks:
+ - frontend
+ - backend
+ deploy:
+ mode: global
+ endpoint_mode: dnsrr
+ resources:
+ limits:
+ memory: 4g
+ reservations:
+ memory: 1g
+ stats:
+ build:
+ context: ./opensearch-dashboards
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_VERSION=2.19.0
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/stats:current"
+ environment:
+ TZ: "Europe/Vienna"
+ volumes:
+ - /opt/oea/data/oeaplatform/stats/var/log/opensearch-dashboards:/var/log/opensearch-dashboards
+ networks:
+ - frontend
+ deploy:
+ mode: replicated
+ replicas: 1
+ endpoint_mode: dnsrr
+ resources:
+ limits:
+ memory: 1g
+ reservations:
+ memory: 512m
+ depends_on:
+ - index
+ mq:
+ build:
+ context: ./rabbitmq
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_VERSION=4.0.5
+ - APP_ERL_VERSION=27.2
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/mq:current"
+ volumes:
+ - /opt/oea/mnt/glusterfs/oeaplatform/mq/var/lib/rabbitmq:/var/lib/rabbitmq
+ - /opt/oea/mnt/glusterfs/oeaplatform/mq/var/log/rabbitmq:/var/log/rabbitmq
+ - /opt/oea/mnt/glusterfs/oeaplatform/mq/etc/rabbitmq/definitions.json:/etc/rabbitmq/definitions.json:ro
+ environment:
+ NODENAME: rabbit@mq
+ TZ: "Europe/Vienna"
+ networks:
+ - frontend
+ - backend
+ deploy:
+ mode: replicated
+ replicas: 1
+ endpoint_mode: dnsrr
+ metaharvest:
+ build:
+ context: ./metaharvest
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_PERL_VERSION=5.40.1
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/metaharvest:current"
+ environment:
+ TZ: "Europe/Vienna"
+ PERL_LWP_SSL_VERIFY_HOSTNAME: 0
+ volumes:
+ - /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/log:/home/perl/metaharvest/log
+ - /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/tmp:/home/perl/metaharvest/tmp
+ - /opt/oea/mnt/glusterfs/oeaplatform/metaharvest/home/perl/metaharvest/etc:/home/perl/metaharvest/etc:ro
+ - /opt/oea/mnt/glusterfs/oeaplatform/metauploadjson/home/perl/metauploadjson/upload:/home/perl/metaharvest/upload/json:ro
+ secrets:
+ - mq_producer_pass
+ networks:
+ - backend
+ deploy:
+ mode: replicated
+ replicas: 8
+ endpoint_mode: dnsrr
+ placement:
+ preferences:
+ - spread: node.labels.region
+ depends_on:
+ - mq
+ metaingest:
+ build:
+ context: ./metaingest
+ dockerfile: Dockerfile
+ args:
+ - OS_RELEASE=noble-20250127
+ - APP_PERL_VERSION=5.40.1
+ - OC_CREATED=${DOCKER_BUILDDATE}
+ image: "${DOCKER_REGISTRY}/metaingest:current"
+ environment:
+ TZ: "Europe/Vienna"
+ volumes:
+ - /opt/oea/mnt/glusterfs/oeaplatform/metaingest/home/perl/metaingest/log:/home/perl/metaingest/log
+ - /opt/oea/mnt/glusterfs/oeaplatform/metaingest/home/perl/metaingest/etc:/home/perl/metaingest/etc:ro
+ secrets:
+ - mq_consumer_pass
+ networks:
+ - backend
+ deploy:
+ mode: replicated
+ replicas: 8
+ endpoint_mode: dnsrr
+ placement:
+ preferences:
+ - spread: node.labels.region
+ depends_on:
+ - index
+ - mq
+secrets:
+ mq_consumer_pass:
+ external: true
+ mq_producer_pass:
+ external: true
+networks:
+ backend:
+ driver: overlay
+ driver_opts:
+ encrypted: 'true'
+ frontend:
+ driver: overlay
+ driver_opts:
+ encrypted: 'true'
diff --git a/oeaplatform/frontend/README-build.md b/oeaplatform/frontend/README-build.md
new file mode 100644
index 0000000000000000000000000000000000000000..1e1757d2176ce253a9fc33ab7dd852bc84270891
--- /dev/null
+++ b/oeaplatform/frontend/README-build.md
@@ -0,0 +1,47 @@
+NOTE: build for oea-dev, replace build-args in build command accordingly for other environments
+
+TODO: Incorporate this file's contents into the top-level README.md
+
+TODO: unifiy handling of these env vars if possible:
+
+* FRONTEND_SERVER_BASE_URL (needed at build-time (nuxt!)) is read by oeaplatform/frontend-server/app.js; falls back to: https://portal.openeducation.at and is set at image build time (see --build-arg below)
+* INDEX_BASE_URL (from docker-compose.yml) is read by oeaplatform/frontend-client/nuxt.config.js and is set at runtime (by docker-compose.yml for example)
+
+`baseURL` in `frontend-client/utils/HTTPRequest.js` references the URL where the frontend's server component is reached. This is still
+hardcoded in that file
+```
+DOCKER_REGISTRY=localhost:5443
+TAG=`date +%Y-%m-%dT%H.%M.%S`
+```
+
+### Build (new) frontend
+
+```
+docker-compose build \
+ --no-cache \
+ --build-arg FRONTEND_SERVER_BASE_URL=https://oea-sandbox.univie.ac.at \
+ --build-arg NODE_ENV=production \
+ frontend-server \
+ frontend-client
+```
+
+### Tag as is customary
+
+```
+
+ID=`docker images -q $DOCKER_REGISTRY/frontend-client:focal_stable` && docker tag $ID frontend-client:$TAG
+ID=`docker images -q $DOCKER_REGISTRY/frontend-server:focal_stable` && docker tag $ID frontend-server:$TAG
+```
+
+### Push to registry
+
+```
+docker push $DOCKER_REGISTRY/frontend-client:focal_stable
+docker push $DOCKER_REGISTRY/frontend-server:focal_stable
+```
+
+### Deploy
+
+```
+docker stack deploy --with-registry-auth -c docker-compose.yml oeaplatform
+```
diff --git a/oeaplatform/frontend/README-local-development.md b/oeaplatform/frontend/README-local-development.md
new file mode 100644
index 0000000000000000000000000000000000000000..20d23b474ed44bbfa0178955438d3b1e97a1c96a
--- /dev/null
+++ b/oeaplatform/frontend/README-local-development.md
@@ -0,0 +1,20 @@
+For local development build and run frontend only.
+
+Build
+
+```
+cd platform/frontend
+docker-compose build
+```
+
+Run
+
+```
+docker-compose up -d
+```
+
+Follow logs
+
+```
+docker-compose logs -f
+```
diff --git a/oeaplatform/frontend/client/.babelrc b/oeaplatform/frontend/client/.babelrc
new file mode 100644
index 0000000000000000000000000000000000000000..84c2e570ec8a935623e24628c8aeb3c0a8390f07
--- /dev/null
+++ b/oeaplatform/frontend/client/.babelrc
@@ -0,0 +1,16 @@
+{
+ "env": {
+ "test": {
+ "presets": [
+ [
+ "@babel/preset-env",
+ {
+ "targets": {
+ "node": "current"
+ }
+ }
+ ]
+ ]
+ }
+ }
+}
diff --git a/oeaplatform/frontend/client/.dockerignore b/oeaplatform/frontend/client/.dockerignore
new file mode 100644
index 0000000000000000000000000000000000000000..5171c54083337f0b87926da2e8f52abefe19d70f
--- /dev/null
+++ b/oeaplatform/frontend/client/.dockerignore
@@ -0,0 +1,2 @@
+node_modules
+npm-debug.log
\ No newline at end of file
diff --git a/oeaplatform/frontend/client/.editorconfig b/oeaplatform/frontend/client/.editorconfig
new file mode 100644
index 0000000000000000000000000000000000000000..5d126348471c348decba17143ce128130c9f4104
--- /dev/null
+++ b/oeaplatform/frontend/client/.editorconfig
@@ -0,0 +1,13 @@
+# editorconfig.org
+root = true
+
+[*]
+indent_style = space
+indent_size = 2
+end_of_line = lf
+charset = utf-8
+trim_trailing_whitespace = true
+insert_final_newline = true
+
+[*.md]
+trim_trailing_whitespace = false
diff --git a/oeaplatform/frontend/client/.eslintrc.js b/oeaplatform/frontend/client/.eslintrc.js
new file mode 100644
index 0000000000000000000000000000000000000000..08335fa5dcfdf89b145142b714fa1ca631000535
--- /dev/null
+++ b/oeaplatform/frontend/client/.eslintrc.js
@@ -0,0 +1,17 @@
+module.exports = {
+ root: true,
+ env: {
+ browser: true,
+ node: true,
+ },
+ extends: [
+ '@nuxtjs/eslint-config-typescript',
+ 'prettier',
+ 'prettier/vue',
+ 'plugin:prettier/recommended',
+ 'plugin:nuxt/recommended',
+ ],
+ plugins: ['prettier'],
+ // add your custom rules here
+ rules: {},
+}
diff --git a/oeaplatform/frontend/client/.github/dependabot.yml b/oeaplatform/frontend/client/.github/dependabot.yml
new file mode 100644
index 0000000000000000000000000000000000000000..b447941b71faf7e46708c4a38eb7c31b39213511
--- /dev/null
+++ b/oeaplatform/frontend/client/.github/dependabot.yml
@@ -0,0 +1,17 @@
+version: 2
+updates:
+# Fetch and update latest `npm` packages
+- package-ecosystem: npm
+ directory: '/'
+ schedule:
+ interval: daily
+ time: '00:00'
+ open-pull-requests-limit: 10
+ reviewers:
+ - dejvid98
+ assignees:
+ - dejvid98
+ commit-message:
+ prefix: fix
+ prefix-development: chore
+ include: scope
diff --git a/oeaplatform/frontend/client/.gitignore b/oeaplatform/frontend/client/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..e8f682bafe394db0827c715ccb085640f891ac3e
--- /dev/null
+++ b/oeaplatform/frontend/client/.gitignore
@@ -0,0 +1,90 @@
+# Created by .ignore support plugin (hsz.mobi)
+### Node template
+# Logs
+/logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+lib-cov
+
+# Coverage directory used by tools like istanbul
+coverage
+
+# nyc test coverage
+.nyc_output
+
+# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
+.grunt
+
+# Bower dependency directory (https://bower.io/)
+bower_components
+
+# node-waf configuration
+.lock-wscript
+
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+build/Release
+
+# Dependency directories
+node_modules/
+jspm_packages/
+
+# TypeScript v1 declaration files
+typings/
+
+# Optional npm cache directory
+.npm
+
+# Optional eslint cache
+.eslintcache
+
+# Optional REPL history
+.node_repl_history
+
+# Output of 'npm pack'
+*.tgz
+
+# Yarn Integrity file
+.yarn-integrity
+
+# dotenv environment variables file
+.env
+
+# parcel-bundler cache (https://parceljs.org/)
+.cache
+
+# next.js build output
+.next
+
+# nuxt.js build output
+.nuxt
+
+# Nuxt generate
+dist
+
+# vuepress build output
+.vuepress/dist
+
+# Serverless directories
+.serverless
+
+# IDE / Editor
+.idea
+
+# Service worker
+sw.*
+
+# macOS
+.DS_Store
+
+# Vim swap files
+*.swp
diff --git a/oeaplatform/frontend/client/.gitlab-ci.yml b/oeaplatform/frontend/client/.gitlab-ci.yml
new file mode 100644
index 0000000000000000000000000000000000000000..fd2fa0aaf41d2c70a715fd839deef8546ed7b91c
--- /dev/null
+++ b/oeaplatform/frontend/client/.gitlab-ci.yml
@@ -0,0 +1,12 @@
+build-job:
+ stage: build
+ script:
+ - echo "Running"
+ # - pm2 delete all
+ # - cd /home/gitlab-runner/
+ # - rm -rf open-education-austria/
+ # - git clone git@gitlab.com:developion/open-education-austria.git -b develop
+ # - cd open-education-austria/
+ # - npm i
+ # - npm run build
+ # - pm2 start npm --name "client" -- start
diff --git a/oeaplatform/frontend/client/.prettierrc b/oeaplatform/frontend/client/.prettierrc
new file mode 100644
index 0000000000000000000000000000000000000000..b2c4838052640d6de1b053796d1d27ee698ffe52
--- /dev/null
+++ b/oeaplatform/frontend/client/.prettierrc
@@ -0,0 +1,5 @@
+{
+ "semi": false,
+ "singleQuote": true,
+ "printWidth": 180
+}
diff --git a/oeaplatform/frontend/client/Dockerfile b/oeaplatform/frontend/client/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..5149aedde17b8eeade957097428ee5b0c3846f6f
--- /dev/null
+++ b/oeaplatform/frontend/client/Dockerfile
@@ -0,0 +1,82 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION="2.1.3" \
+ APP_NODE_VERSION="20.18.3" \
+ APP_NODE_MAJOR_VERSION="20"
+# Remark DOCKER_REG has to end with / if specified
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS osbase
+
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && apt-get -y install tzdata
+
+FROM osbase AS nodebuilder
+ARG APP_NODE_VERSION \
+ APP_NODE_MAJOR_VERSION
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+ENV NODE_VERSION=${APP_NODE_VERSION}
+ENV NODE_MAJOR=${APP_NODE_MAJOR_VERSION}
+ENV PKG_RELEASE=1nodesource1
+
+## install
+# node
+RUN apt-get update && apt-get install -y \
+ ca-certificates curl gnupg \
+ python3 python3-distutils-extra g++ build-essential
+RUN curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg \
+ && echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_$NODE_MAJOR.x nodistro main" | tee /etc/apt/sources.list.d/nodesource.list > /dev/null
+RUN apt update && apt install -y nodejs=${NODE_VERSION}-${PKG_RELEASE}
+RUN npm install --global yarn
+
+## remove
+RUN apt purge gnupg -y && apt autoremove -y && apt clean -y && rm -rfv /var/lib/apt/lists/*
+
+WORKDIR /usr/src/app
+# set frontend-server's address at build-time
+# i hope it uses the ENV inside ARG FRONTEND_SERVER_BASE_URL
+COPY ./docker-entrypoint.sh /usr/src/app/docker-entrypoint.sh
+COPY ./package.json ./
+
+COPY ./yarn.lock ./
+
+RUN yarn install > /dev/null
+
+COPY ./assets ./assets
+COPY ./components ./components
+COPY ./layouts ./layouts
+COPY ./middleware ./middleware
+COPY ./plugins ./plugins
+COPY ./store ./store
+COPY ./pages ./pages
+COPY ./static ./static
+COPY ./nuxt.config.js ./
+COPY ./tsconfig.json ./
+COPY ./.babelrc ./
+COPY ./utils ./utils
+
+RUN yarn build > /dev/null
+
+FROM scratch AS main
+ARG OS_RELEASE \
+ APP_VERSION \
+ APP_NODE_VERSION \
+ OS_RELEASE \
+ OC_CREATED
+## OCI annotation keys
+LABEL org.opencontainers.image.title=frontend-ui
+LABEL org.opencontainers.image.vendor=UniVie
+LABEL org.opencontainers.image.authors=pt
+LABEL org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE}
+LABEL org.opencontainers.image.created=${OC_CREATED}
+ENV NODE_VERSION=${APP_NODE_VERSION}
+
+COPY --from=nodebuilder / /
+WORKDIR /usr/src/app
+
+# EXPOSE 3000
+
+ENTRYPOINT ["yarn", "start"]
diff --git a/oeaplatform/frontend/client/README.md b/oeaplatform/frontend/client/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..def00b5e3159adca6de96c43f684d0511faaa45e
--- /dev/null
+++ b/oeaplatform/frontend/client/README.md
@@ -0,0 +1,200 @@
+# Open Education Austria Documentation
+
+## Table of Contents
+
+- [Installation](#installation)
+
+ - [Client](#client)
+
+ - [Server](#server)
+
+- [REST API Documentation](#rest)
+
+ - [POST /search/](#search)
+
+ - [Request body example](#search-request)
+
+ - [Properties and types](#search-properties)
+
+ - [POST /search/favorites](#favorites)
+
+ - [Request body example](#favorites-request)
+
+ - [Properties and types](#favorites-properties)
+
+ - [GET /search/:id](#id)
+
+ - [Example](#id-example)
+
+ - [GET /author/:name](#author)
+
+ - [Example](#author-example)
+
+- [ENV Files](#env)
+
+ - [Server](#env-server)
+
+# <a id='installation'>Installation</a>
+
+<br>
+
+## <a id='client'>Client</a>
+
+```
+$ cd client/
+
+$ npm i
+
+$ npm start
+```
+Password-protection:
+
+index.vue is password protected...to remove this, replace it with index-no-password.vue.
+
+<br>
+
+## <a id='server'>Server</a>
+
+```
+$ cd server/
+
+$ npm i
+
+$ npm run build
+
+$ npm start
+```
+
+<br>
+
+# <a id='rest'>REST API Documentation</a>
+
+## <a id='search'>POST /search/</a>
+
+_Retrieves all of the documents based on the query_
+
+<a id='search-request'>Request body</a>
+
+```
+{
+ "query": "der",
+ "page": 0,
+ "size": 10,
+ "disciplines": [
+ {
+ "id": "102",
+ "nameEn": "Computer Sciences",
+ "nameDe": "Informatik"
+ },
+ {
+ "id": "101005",
+ "nameEn": "Computer algebra",
+ "nameDe": "Computeralgebra"
+ }
+ ],
+ "mediaTypes": [
+ "Video",
+ "Document",
+ "Picture",
+ "Miscellaneous",
+ "Audio"
+ ],
+ "sources": [
+ "phaidra.univie.ac.at",
+ "openlib.tugraz.at"
+ ],
+ "licences": [
+ "CC",
+ "CC BY 4.0 International"
+ ],
+ "dateRange": "now-1y/d",
+ "sort": {
+ "type": "date",
+ "order": "desc"
+ },
+ "startDate": "",
+ "endDate": ""
+}
+```
+
+<a id='search-properties'>Properties</a>
+
+```
+Property Type Required/Optional
+_______________________________________________________
+query | String | Required |
+page | Int | Required |
+size | Int | Required |
+disciplines | Array[Object] | Optional |
+mediaTypes | Array[String] | Optional |
+sources | Array[String] | Optional |
+licences | Array[String] | Optional |
+dateRange | String | Optional |
+sort | Object{} | Optional |
+startDate | String(YYYY-MM-DD) | Optional |
+endDate | String(YYYY-MM-DD) | Optional |
+```
+
+<br>
+
+## <a id='favorites'>POST /search/favorites</a>
+
+_Retrieves all of the documents based on an array of IDs_
+
+<a id='favorites-request'>Request body</a>
+
+```
+{
+ "ids": [
+ "o:1127269",
+ "5e43be9ad90ed"
+ ]
+}
+```
+
+<a id='favorites-properties'>Properties</a>
+
+```
+Property Type Required/Optional
+_______________________________________________________
+ids | Array[String] | Required |
+```
+
+<br>
+
+## <a id='id'>GET /search/:id</a>
+
+_Retrieves a document for the given ID_
+
+<a id='id-example'>Example</a>
+
+```
+curl --location --request GET 'http://localhost:3033/search/5e43be9ad90ed'
+```
+
+<br>
+
+## <a id='author'>GET /author/:name</a>
+
+_Retrieves all of the documents based on the authors name_
+
+<a id='author-example'>Example</a>
+
+```
+curl --location --request GET 'http://localhost:3033/author/Alicja_Malgorzata_Michalowska-Forsyth'
+```
+
+<br>
+
+# <a id='env'>ENV Files</a>
+
+<br>
+
+## <a id='env-server'>Server</a>
+
+```
+URL=https://portal.openeducation.at/q/v1/ #URL for elasticsearch requests
+ENV=DEV
+PORT=3033 #Port on which server is running
+```
+
diff --git a/oeaplatform/frontend/client/assets/css/main.css b/oeaplatform/frontend/client/assets/css/main.css
new file mode 100644
index 0000000000000000000000000000000000000000..672f855a4a34d1009699d1c66544c8658fcb1a15
--- /dev/null
+++ b/oeaplatform/frontend/client/assets/css/main.css
@@ -0,0 +1,1233 @@
+html {
+ font-family: 'Roboto';
+ font-size: 16px;
+ word-spacing: 1px;
+ -ms-text-size-adjust: 100%;
+ -webkit-text-size-adjust: 100%;
+ -moz-osx-font-smoothing: grayscale;
+ -webkit-font-smoothing: antialiased;
+ box-sizing: border-box;
+ overflow-x: hidden;
+}
+
+input:-webkit-autofill,
+input:-webkit-autofill:hover,
+input:-webkit-autofill:focus,
+input:-webkit-autofill:active {
+ transition: background-color 9999s ease-in-out 0s;
+}
+
+/* clears the ‘X’ from Internet Explorer */
+input[type=search]::-ms-clear { display: none; width : 0; height: 0; }
+input[type=search]::-ms-reveal { display: none; width : 0; height: 0; }
+/* clears the ‘X’ from Chrome */
+input[type="search"]::-webkit-search-decoration,
+input[type="search"]::-webkit-search-cancel-button,
+input[type="search"]::-webkit-search-results-button,
+input[type="search"]::-webkit-search-results-decoration { display: none; }
+
+p {
+ hyphens: auto !important;
+}
+
+.phone-wrapper {
+ @media (max-width: 1024px) {
+ width: 100%;
+ max-width: 100vw;
+ }
+}
+.no-hover:hover {
+ text-decoration: none;
+ color: #fff;
+}
+
+/* backdrop used for modal-filters to be handled as a button */
+.backdrop{
+ top: 0;
+ left: 0;
+ position: fixed;
+ background: rgba(0,0,0,0.1);
+ width: 100%;
+ height: 100%;
+ z-index: 20;
+}
+
+input {
+ color: #2E842A;
+}
+
+.roboto-light {
+ font-family: 'Roboto';
+ font-weight: 300;
+}
+
+.main-container {
+ height: 100%;
+ min-height: 60vh;
+}
+
+.main-black {
+ color: #2b2b2b;
+}
+
+.second-black {
+ color: #363636;
+}
+
+.main-grey {
+ color: #606060;
+}
+
+.second-grey {
+ background: #f8f8f8;
+}
+
+.searchbkgbox-blue {
+ background: #38568F;
+}
+
+.searchbkgbox-green {
+ background: #2E842A;
+}
+
+.facettenbkgbox-grey {
+ background: #f8f8f8;
+}
+
+.third-grey {
+ color: #606060;
+}
+
+.fourth-grey {
+ color: #595959;
+}
+
+.placeholder-grey::placeholder {
+ color: #919191;
+ font-size: 16px;
+}
+
+.placeholder-green {
+ color: #2E842A;
+ font-size: 16px;
+}
+
+.blue-one {
+ color: #38568F;
+}
+
+.green-one {
+ color: #2E842A;
+}
+
+.input {
+ height: 3rem;
+ width: 100%;
+ max-width: 95%;
+ background-color: #FFFFFF;
+}
+
+.input:focus {
+ outline: none;
+}
+
+.disciplines-list {
+ width: 100%;
+ max-width: 5rem;
+}
+
+.learingrts-list {
+ width: 100%;
+ max-width: 5rem;
+}
+
+.remove-focus {
+ outline: none;
+}
+
+.blue-button {
+ background: #38568F;
+ color: #fff;
+ padding: 0.5rem 1rem;
+ height: 2.5rem;
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ border-radius: 5px;
+}
+
+.blue-button:hover {
+ background: #27749b;
+}
+
+.green-button {
+ background: #2E842A;
+ color: #fff;
+ font-weight: bold;
+ padding: 0.5rem 1rem;
+ height: 2.5rem;
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ border-radius: 5px;
+}
+
+.green-button:hover {
+ background: #389F32;
+}
+
+a:hover {
+ color: #2E842A;
+ text-decoration: underline;
+}
+
+.navfav {
+ text-decoration: underline;
+ color: #F8FCF8;
+}
+
+.navfav:link {
+ text-decoration: underline;
+ color: #FFFFFF;
+}
+
+.navfav:hover {
+ text-decoration: none;
+ color: #FFFFFF;
+}
+
+.navfav:focus {
+ text-decoration: underline;
+ color: #F8FCF8;
+}
+
+.navfav:activ {
+ text-decoration: underline;
+ color: #F8FCF8;
+}
+
+.active-language {
+ color: #FFFFFF;
+ text-decoration: underline;
+}
+
+.inactive-language {
+ color: #FFFFFF;
+ text-decoration: none;
+}
+
+.orange-background {
+ background-color: #ffa000;
+ padding: 0.1rem 0.3rem;
+ border-radius: 4px;
+ color: #fff;
+ font-weight: bold;
+ font-size: smaller;
+}
+
+.olive-background {
+ background-color: #c6e669;
+ padding: 0.1rem 0.3rem;
+ border-radius: 4px;
+ color: #fff;
+ font-weight: bold;
+ font-size: smaller;
+}
+
+.brown-background {
+ background-color: #ad8303;
+ padding: 0.1rem 0.3rem;
+ border-radius: 4px;
+ color: #fff;
+ font-weight: bold;
+ font-size: smaller;
+}
+
+.blue-background {
+ background-color: #00a7e1;
+ padding: 0.1rem 0.3rem;
+ border-radius: 4px;
+ color: #fff;
+ font-weight: bold;
+ font-size: smaller;
+}
+
+.green-background {
+ background-color: #2E842A;
+ padding: 0.1rem 0.3rem;
+ border-radius: 4px;
+ color: #fff;
+ font-weight: bold;
+ font-size: smaller;
+}
+
+.black-background {
+ background-color: #818181;
+ padding: 0.1rem 0.3rem;
+ border-radius: 4px;
+ color: #fff;
+ font-weight: bold;
+ font-size: smaller;
+}
+
+.grey-background {
+ background-color: #bbbbbb;
+ padding: 0.1rem 0.3rem;
+ border-radius: 4px;
+ color: #fff;
+ font-weight: bold;
+ font-size: smaller;
+}
+
+.orange-icon {
+ color: #ffa000;
+}
+
+.olive-icon {
+ color: #c6e669;
+}
+
+.brown-icon {
+ color: #ad8303;
+}
+
+.blue-icon {
+ color: #38568F;
+}
+
+.green-icon {
+ color: #29a404;
+}
+
+.black-icon {
+ color: #818181;
+}
+
+.grey-icon {
+ color: #bbbbbb;
+}
+
+.orange-border {
+ border: 2px solid #ff9600;
+ border-radius: 4px;
+ margin-right: 1rem;
+ padding: 0.5rem 1rem;
+}
+
+.olive-border {
+ border: 2px solid #c6e669;
+ border-radius: 4px;
+ margin-right: 1rem;
+ padding: 0.5rem 1rem;
+}
+
+.brown-border {
+ border: 2px solid #ad8303;
+ border-radius: 4px;
+ margin-right: 1rem;
+ padding: 0.5rem 1rem;
+}
+
+.discipline-filter-box {
+ /* background: #fff8ed; */
+ border: 2px solid #2E842A;
+ color: #363636;
+ padding: 0.5rem 1rem;
+ border-radius: 10px;
+ animation: 0.3s slideFromLeft linear;
+}
+
+.learningrt-filter-box {
+ /* background: #fff8ed; */
+ border: 2px solid #2E842A;
+ color: #363636;
+ padding: 0.5rem 1rem;
+ border-radius: 10px;
+ animation: 0.3s slideFromLeft linear;
+}
+
+.language-filter-box {
+ /* background: #ad8303; */
+ border: 2px solid #2E842A;
+ color: #363636;
+ padding: 0.5rem 1rem;
+ border-radius: 10px;
+ animation: 0.3s slideFromLeft linear;
+}
+
+.licence-filter-box {
+ /* background: #edf8fd; */
+ border: 2px solid #2E842A;
+ color: #363636;
+ padding: 0.5rem 1rem;
+ border-radius: 10px;
+ animation: 0.3s slideFromLeft linear;
+}
+
+.date-filter-box {
+ /* background: rgba(40, 153, 34, 0.08); */
+ border: 2px solid #2E842A;
+ color: #363636;
+ padding: 0.5rem 1rem;
+ border-radius: 10px;
+ animation: 0.3s slideFromLeft linear;
+}
+
+.source-filter-box {
+ /* background: rgba(118, 118, 118, 0.08); */
+ border: 2px solid #2E842A;
+ color: #363636;
+ padding: 0.5rem 1rem;
+ border-radius: 10px;
+ animation: 0.3s slideFromLeft linear;
+}
+
+.media-filter-box {
+ /* background: rgba(178, 178, 178, 0.08); */
+ border: 2px solid #2E842A;
+ color: #363636;
+ padding: 0.5rem 1rem;
+ border-radius: 10px;
+ animation: 0.3s slideFromLeft linear;
+}
+
+.blue-border {
+ border: 2px solid #0b9dd9;
+ border-radius: 4px;
+ margin-right: 1rem;
+ padding: 0.5rem 1rem;
+}
+
+.green-border {
+ border: 2px solid #2E842A;
+ border-radius: 4px;
+ margin-right: 1rem;
+ padding: 0.5rem 1rem;
+}
+
+.black-border {
+ border: 2px solid #595959;
+ border-radius: 4px;
+ margin-right: 1rem;
+ padding: 0.5rem 1rem;
+}
+
+.grey-border {
+ border: 2px solid #b2b2b2;
+ border-radius: 4px;
+ padding: 0.5rem 1rem;
+}
+
+.result-border {
+ border-bottom: 1px solid #d1d1d1;
+}
+
+.page-size-border {
+ border-color: #d1d1d1;
+}
+
+.active-section {
+ border-left: 4px solid #2E842A;
+}
+
+.inactive-section {
+ border-left: 4px solid #e0e0e0;
+}
+
+.search-input-label {
+ color: #2E842A;
+ font-weight: bold;
+ font-size: 16px;
+}
+
+input.search-input-txt {
+ height: 3rem;
+ width: 100%;
+ max-width: 95%;
+ border: 2px solid #B8E8AB;
+ background-color: #FFFFFF;
+ color: black;
+ font-size: 16px;
+}
+
+input.search-input-txt:focus {
+ outline: none;
+ border: 2px solid #2E842A ;
+ color: black;
+ background-color: #F8FCF8 ;
+ font-size: 16px;
+}
+
+.search-input-box {
+ border: 2px solid #e0e0e0;
+ background-color: #F8FCF8;
+}
+
+.search-input-box:hover,
+.search-input-box:active {
+ border: 2px solid #B8E8AB;
+}
+
+.slide-animation {
+ animation: 0.3s slide linear;
+}
+
+.slide-animation2 {
+ animation: 0.3s slide2 linear;
+}
+
+.pop-up-width {
+ width: 22rem;
+}
+
+.pop-up-width-20 {
+ width: 20rem;
+}
+
+.arrow-icon {
+ color: #2E842A;
+}
+
+.remove-button {
+ border: 1px solid #38568F;
+ border-radius: 4px;
+ padding: 0.7rem 0.8rem;
+ text-align: center;
+
+ @media (min-width: 1024px) {
+ padding: 0.5rem 1rem;
+ }
+}
+
+@keyframes slide {
+ 0% {
+ opacity: 0;
+ transform: translateY(-2rem);
+ }
+ 100% {
+ opacity: 1;
+ transform: translateY(0rem);
+ }
+}
+
+@keyframes slide2 {
+ 0% {
+ opacity: 0;
+ transform: translateY(-0.5rem);
+ }
+ 100% {
+ opacity: 1;
+ transform: translateY(0rem);
+ }
+}
+
+@keyframes slideFromLeft {
+ 0% {
+ opacity: 0;
+ transform: translateX(-2rem);
+ }
+ 100% {
+ opacity: 1;
+ transform: translateX(0rem);
+ }
+}
+
+*,
+*::before,
+*::after {
+ box-sizing: border-box;
+ margin: 0;
+}
+
+.bold:hover {
+ font-weight: 700;
+}
+
+.bold-active {
+ font-weight: 700;
+}
+
+.wrapper {
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ flex-direction: column;
+ width: 100%;
+}
+
+.inner-wrapper {
+ display: flex;
+ width: 100%;
+ max-width: 80rem;
+}
+
+.button--green {
+ display: inline-block;
+ border-radius: 4px;
+ border: 1px solid #3b8070;
+ color: #3b8070;
+ text-decoration: none;
+ padding: 10px 30px;
+}
+
+.button--green:hover {
+ color: #fff;
+ background-color: #3b8070;
+}
+
+.button--grey {
+ display: inline-block;
+ border-radius: 4px;
+ border: 1px solid #35495e;
+ color: #35495e;
+ text-decoration: none;
+ padding: 10px 30px;
+ margin-left: 15px;
+}
+
+.button--grey:hover {
+ color: #fff;
+ background-color: #35495e;
+}
+
+.dropdown-animation {
+ animation: 0.3s dropdown ease-out;
+ backface-visibility: hidden;
+ z-index: 4;
+}
+
+.back-button {
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #F8FCF8;
+ font-weight: bold;
+ cursor: pointer;
+ cursor: pointer;
+ padding: 0.5rem 1rem;
+ border-radius: 5px
+}
+
+.back-button:hover {
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #B8E8AB;
+}
+
+.copied-button {
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #F8FCF8;
+ font-weight: bold;
+ cursor: pointer;
+ cursor: pointer;
+ padding: 0.5rem 1rem;
+ border-radius: 5px
+}
+
+.copied-button:hover {
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #B8E8AB;
+}
+
+.filled-button {
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #F8FCF8;
+ font-weight: bold;
+ cursor: pointer;
+ cursor: pointer;
+ padding: 0.5rem 1rem;
+ border-radius: 5px
+}
+
+.filled-button:hover {
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #B8E8AB;
+}
+
+.secondary-button {
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #F8FCF8;
+ font-weight: bold;
+ cursor: pointer;
+ cursor: pointer;
+ padding: 0.5rem 1rem;
+ border-radius: 5px;
+}
+
+.secondary-button:hover {
+ border: 1px solid #2E842A;
+ color: #2E842A;
+ background-color: #B8E8AB;
+}
+
+.box {
+ position: absolute;
+ margin-top: 4rem;
+ border: 1px solid #ccc;
+ width: 300px;
+ border-radius: 4px;
+ z-index: 30;
+ -webkit-box-shadow: 10px 10px 5px -5px rgba(204, 204, 204, 0.58);
+ -moz-box-shadow: 10px 10px 5px -5px rgba(204, 204, 204, 0.58);
+ box-shadow: 10px 10px 5px -5px rgba(204, 204, 204, 0.58);
+ overflow-x: visible !important;
+}
+
+.box .arrow1,
+.box .arrow2 {
+ width: 15px;
+ height: 15px;
+ content: '';
+ display: block;
+ position: absolute;
+ transform: rotate(45deg) skew(10deg, 10deg);
+ background: #fff;
+ z-index: 3;
+ overflow-x: visible !important;
+}
+
+.box .arrow1 {
+ border-top: 1px solid #ccc;
+ border-left: 1px solid #ccc;
+ overflow-x: visible !important;
+
+ top: -8px;
+ left: 20px;
+}
+
+.box .arrow2 {
+ top: -6px;
+ background: #fff;
+ overflow-x: visible !important;
+
+ left: 20px;
+}
+
+.sorting-box {
+ position: absolute;
+ border: 1px solid #ccc;
+ border-radius: 4px;
+ z-index: 30;
+ -webkit-box-shadow: 10px 10px 5px -5px rgba(204, 204, 204, 0.58);
+ -moz-box-shadow: 10px 10px 5px -5px rgba(204, 204, 204, 0.58);
+ box-shadow: 10px 10px 5px -5px rgba(204, 204, 204, 0.58);
+ overflow-x: visible !important;
+ outline: none !important;
+ width: 16rem !important;
+ margin-top: 1rem !important;
+ outline: none !important;
+ left: -96px;
+}
+
+.sorting-box .arrow1,
+.sorting-box .arrow2 {
+ width: 15px;
+ height: 15px;
+ content: '';
+ display: block;
+ position: absolute;
+ transform: rotate(45deg) skew(10deg, 10deg);
+ background: #fff;
+ z-index: 3;
+ overflow-x: visible !important;
+}
+
+.sorting-box .arrow1 {
+ border-top: 1px solid #ccc;
+ border-left: 1px solid #ccc;
+ overflow-x: visible !important;
+
+ top: -8px;
+ left: 200px;
+}
+
+.sorting-box .arrow2 {
+ top: -6px;
+ background: #fff;
+ overflow-x: visible !important;
+
+ left: 1200px;
+}
+
+@keyframes dropdown {
+ 0% {
+ opacity: 0;
+ transform: translateY(-1rem);
+ }
+
+ 100% {
+ opacity: 1;
+ transform: translateY(0rem);
+ }
+}
+
+.title {
+ font-size: 24px;
+}
+
+.description {
+ font-size: 16px;
+}
+
+.media-type {
+ font-size: 14px;
+}
+
+td {
+ background-color: #f8f8f8;
+ border: 2px solid #fff;
+ color: #606060;
+ padding: 0.5rem 1rem;
+ text-align: left;
+}
+
+.td:first-child {
+ border-left: 4px solid #e0e0e0;
+}
+
+tr .highlight-table {
+ border-left: 4px solid #ff9600;
+ font-weight: bold;
+ padding-right: 6rem;
+}
+
+.font-42 {
+ font-size: 42px;
+ font-weight: bold;
+}
+
+.font-36 {
+ font-size: 36px;
+}
+
+.font-26 {
+ font-size: 26px;
+}
+
+.font-20 {
+ font-size: 20px;
+}
+
+.font-24 {
+ font-size: 24px;
+}
+
+.font-18 {
+ font-size: 18px;
+}
+
+.font-14 {
+ font-size: 14px;
+}
+
+.font-16 {
+ font-size: 16px;
+}
+
+.font-12 {
+ font-size: 12px;
+}
+
+.light {
+ font-weight: 300;
+}
+
+.Logo {
+ width: 130px;
+ @media (min-width: 1024px) {
+ width: 220px;
+ }
+}
+
+.licence-wrapper {
+ width: 18rem;
+}
+
+.licence-modal {
+ position: absolute;
+ transform: translate(15.5rem, -5rem);
+ @media (min-width: 1024px) {
+ width: 20rem;
+ transform: translate(0.5rem, -4.5rem);
+ }
+ border: 1px solid #d1d1d1;
+ color: #2b2b2b;
+ width: 100%;
+ max-width: 18.5rem;
+ border-radius: 4px;
+ padding: 10px;
+ background: #f8f8f8;
+}
+.licence-modal .licence-arrow {
+ background: #f8f8f8;
+ width: 15px;
+ height: 15px;
+ content: '';
+ display: block;
+ position: absolute;
+ transform: rotate(45deg) skew(10deg, 10deg);
+ border-bottom: 1px solid #d1d1d1;
+ border-right: 1px solid #d1d1d1;
+ top: 98px;
+ left: 30px;
+ @media (min-width: 1024px) {
+ left: 266px;
+ }
+}
+
+.searchtooltip-box {
+ position: absolute;
+ transform: translate(15.5rem, -5rem);
+ @media (min-width: 1024px) {
+ width: 20rem;
+ transform: translate(1.5rem, -4.5rem);
+ }
+ border: 1px solid #d1d1d1;
+ color: #2b2b2b;
+ width: 100%;
+ max-width: 18.5rem;
+ border-radius: 4px;
+ padding: 10px;
+ background: #f8f8f8;
+}
+.searchtooltip-box .searchtooltip-arrow {
+ background: #f8f8f8;
+ width: 15px;
+ height: 15px;
+ content: '';
+ display: block;
+ position: absolute;
+ transform: rotate(45deg) skew(10deg, 10deg);
+ border-bottom: 1px solid #d1d1d1;
+ border-right: 1px solid #d1d1d1;
+ top: 120px;
+ left: 30px;
+ @media (min-width: 1024px) {
+ left: 100px;
+ }
+}
+
+
+.tooltip-box {
+ position: absolute;
+ transform: translate(15.5rem, -5rem);
+ @media (min-width: 1024px) {
+ width: 20rem;
+ transform: translate(-0.5rem, -4.5rem);
+ }
+ border: 1px solid #d1d1d1;
+ color: #2b2b2b;
+ width: 100%;
+ max-width: 18.5rem;
+ border-radius: 4px;
+ padding: 10px;
+ background: #f8f8f8;
+}
+
+.tooltip-box .tooltip-arrow {
+ background: #f8f8f8;
+ width: 15px;
+ height: 15px;
+ content: '';
+ display: block;
+ position: absolute;
+ transform: rotate(45deg) skew(10deg, 10deg);
+ border-bottom: 1px solid #d1d1d1;
+ border-right: 1px solid #d1d1d1;
+ top: 98px;
+ left: 30px;
+ @media (min-width: 1024px) {
+ left: 266px;
+ }
+}
+
+.disciplines-wrapper {
+ display: flex;
+ flex-direction: column;
+ height: 100%;
+ width: 100%;
+ max-height: 25rem;
+ overflow-y: scroll;
+}
+
+.learningrts-wrapper {
+ display: flex;
+ flex-direction: column;
+ height: 100%;
+ width: 100%;
+ max-height: 25rem;
+ overflow-y: scroll;
+}
+
+.languages-wrapper {
+ display: flex;
+ flex-direction: column;
+ height: 100%;
+ width: 100%;
+ max-height: 25rem;
+ overflow-y: scroll;
+}
+
+@media (max-width: 1024px) {
+ .scrolling-wrapper {
+ white-space: nowrap;
+ width: 100%;
+ max-width: 90vw;
+ }
+}
+
+.footer-navgiation {
+ padding: 20px 0;
+ min-height: 80px;
+}
+
+.line-height {
+ line-height: 1.25em;
+}
+
+.logos-padding {
+ padding-left: 16px;
+}
+
+.logo-spacing {
+ margin-right: 50px;
+}
+
+.line::after {
+ position: relative;
+ top: 2px;
+ margin: 0rem 0.7rem;
+ content: '';
+ display: inline-block;
+ height: 1rem;
+ background: #FFFFFF;
+ width: 1px;
+}
+
+.line-footer::after {
+ @media (min-width: 1024px) {
+ position: relative;
+ top: 4px;
+ margin: 0rem 1rem;
+ content: '';
+ display: inline-block;
+ height: 1.2rem;
+ background: #d1d1d1;
+ width: 1px;
+ }
+}
+
+.navbar {
+ min-height: 140px;
+ background-color: #2E842A;
+ color: #FFFFFF;
+}
+
+.boxy {
+ position: absolute;
+ transform: translate(-8.3rem, -3.7rem);
+ border: 1px solid #d1d1d1;
+ display: inline-block;
+ color: #2b2b2b;
+ width: 100%;
+ max-width: 10rem;
+ border-radius: 4px;
+ padding: 10px;
+ background: #f8f8f8;
+}
+
+.boxy .arrowz1 {
+ background: #f8f8f8;
+ width: 15px;
+ height: 15px;
+ content: '';
+ display: block;
+ position: absolute;
+ transform: rotate(45deg) skew(10deg, 10deg);
+ border-bottom: 1px solid #d1d1d1;
+ border-right: 1px solid #d1d1d1;
+ top: 37px;
+ left: 134px;
+}
+
+.boxz {
+ position: absolute;
+ transform: translate(14.2rem, -4.5rem);
+ @media (min-width: 1024px) {
+ width: 20rem;
+ transform: translate(-0.5rem, -4.5rem);
+ }
+ border: 1px solid #d1d1d1;
+ color: #2b2b2b;
+ width: 100%;
+ max-width: 18.5rem;
+ border-radius: 4px;
+ padding: 10px;
+ background: #f8f8f8;
+}
+
+.boxz .arrowz1 {
+ background: #f8f8f8;
+ width: 15px;
+ height: 15px;
+ content: '';
+ display: block;
+ position: absolute;
+ transform: rotate(45deg) skew(10deg, 10deg);
+ border-bottom: 1px solid #d1d1d1;
+ border-right: 1px solid #d1d1d1;
+ top: 98px;
+ left: 30px;
+ @media (min-width: 1024px) {
+ left: 266px;
+ }
+}
+
+.modal-mask {
+ position: fixed;
+ z-index: 9998;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ background-color: rgba(0, 0, 0, 0.5);
+ display: table;
+ transition: opacity 0.3s ease;
+}
+
+.modal-wrapper {
+ display: table-cell;
+ vertical-align: middle;
+}
+
+.modal-container {
+ display: flex;
+ flex-direction: column;
+ align-items: center;
+ width: 100%;
+ max-width: 45rem;
+ margin: 0px auto;
+ padding: 20px 30px;
+ background-color: #fff;
+ border-radius: 2px;
+ box-shadow: 0 2px 8px rgba(0, 0, 0, 0.33);
+ transition: all 0.3s ease;
+}
+
+.modal-header h3 {
+ margin-top: 0;
+ color: #42b983;
+}
+
+.modal-body {
+ margin: 20px 0;
+}
+
+.modal-default-button {
+ float: right;
+}
+
+.modal-enter {
+ opacity: 0;
+}
+
+.modal-leave-active {
+ opacity: 0;
+}
+
+.modal-enter .modal-container,
+.modal-leave-active .modal-container {
+ -webkit-transform: scale(1.1);
+ transform: scale(1.1);
+}
+
+.textarea {
+ border: 1px solid #d1d1d1;
+ padding: 0.5rem;
+ border-radius: 6px;
+ margin-bottom: 1rem;
+ width: 100%;
+ height: 6rem;
+}
+
+.word-break {
+ @media (max-width: 1024px) {
+ word-wrap: break-word;
+ overflow-wrap: break-word;
+ width: 21rem;
+ }
+}
+
+.word-break-75vw {
+ word-wrap: break-word;
+ overflow-wrap: break-word;
+ width: 75vw;
+ @media (max-width: 512px) {
+ width: 21rem;
+ }
+
+}
+
+.search-wrapper-mobile {
+ width: 1024px;
+}
+
+@media (max-width: 1024px) {
+ .search-wrapper-mobile {
+ width: 90vw;
+ }
+ .scrolling-wrapper {
+ overflow-y: hidden;
+ overflow-x: scroll;
+ padding-bottom: 550px;
+ margin-bottom: -550px;
+ width: 95vw;
+ }
+}
+
+.padding-bottom {
+ padding-bottom: 30px;
+}
+
+.zindex {
+ position: relative;
+ z-index: 2;
+}
+
+.author-wrapper {
+ width: 79.99rem;
+}
+
+.faq-border {
+ border-bottom: 1px solid #d1d1d1;
+ border-left: 1px solid #d1d1d1;
+ border-right: 1px solid #d1d1d1;
+ padding: 40px 60px;
+}
+
+.padding {
+ padding: 18px 30px;
+}
+
+.min-width {
+ @media (min-width: 1024px) {
+ min-width: 96vw;
+ }
+}
+
+.padding-favorites {
+ padding-top: 60px;
+}
diff --git a/oeaplatform/frontend/client/assets/css/tailwind.css b/oeaplatform/frontend/client/assets/css/tailwind.css
new file mode 100644
index 0000000000000000000000000000000000000000..b5c61c956711f981a41e95f7fcf0038436cfbb22
--- /dev/null
+++ b/oeaplatform/frontend/client/assets/css/tailwind.css
@@ -0,0 +1,3 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
diff --git a/oeaplatform/frontend/client/assets/fonts/Roboto-Black.ttf b/oeaplatform/frontend/client/assets/fonts/Roboto-Black.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..2d452383651a6ef279743a9926b90234b8b79366
Binary files /dev/null and b/oeaplatform/frontend/client/assets/fonts/Roboto-Black.ttf differ
diff --git a/oeaplatform/frontend/client/assets/fonts/Roboto-BlackItalic.ttf b/oeaplatform/frontend/client/assets/fonts/Roboto-BlackItalic.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..29a4359ed0ba945a1af87078f3c0f08d298b0285
Binary files /dev/null and b/oeaplatform/frontend/client/assets/fonts/Roboto-BlackItalic.ttf differ
diff --git a/oeaplatform/frontend/client/assets/fonts/Roboto-Bold.ttf b/oeaplatform/frontend/client/assets/fonts/Roboto-Bold.ttf
new file mode 100644
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diff --git a/oeaplatform/frontend/client/components/Document/Data.vue b/oeaplatform/frontend/client/components/Document/Data.vue
new file mode 100644
index 0000000000000000000000000000000000000000..4e7ee43edede5cc021560e45f669e5c49e92aa08
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Document/Data.vue
@@ -0,0 +1,261 @@
+<template>
+ <div v-if="documentData" class="w-full justify-center result-border pb-8 lg:mt-4">
+ <div class="w-full lg:max-w-7xl">
+ <div class="flex mb-4 w-full">
+ <h1 class="text-lg lg:text-2xl ">
+ {{ documentData._source.oea_title || '' }}
+ </h1>
+ </div>
+ <!-- on the right side:
+ <div class="grid grid-cols-8 gap-y-2 gap-x-20 justify-items-start place-items-center">
+ <div class="col-span-6 main-black font-18 light">
+ <p>{{ documentData._source.oea_abstract }}</p>
+ </div>
+ <div class="col-span-2 place-self-end">
+ <span v-if="documentData._source.oea_thumbnail_url === ''">{{ documentData._source.oea_classification_05 }}</span>
+ <span v-else ><img class="sm:l-1 h-40" :src="formatThumbnail" :alt="documentData._source.oea_classification_05"/><span class="sr-only">{{ documentData._source.oea_classification_05 }}</span></span>
+ </div>
+ </div>
+ -->
+ <div class="w-full main-black light flex">
+ <img v-if="formatThumbnail === ''"
+ class="object-scale-down object-center mt-2 mr-2 h-16 w-20 lg:mr-4 lg:h-48 lg:w-60 float-left shadow-md"
+ :src="formatThumbnailByTyp(documentData._source.oea_classification_05)"
+ :alt="documentData._source.oea_classification_05" />
+ <img v-else
+ class="object-scale-down object-center mt-2 mr-2 h-16 w-20 lg:mr-4 lg:h-48 lg:w-60 float-left shadow-md"
+ :src="formatThumbnail" :alt="documentData._source.oea_classification_05" />
+ <span class="sr-only">{{ documentData._source.oea_classification_05 }}</span>
+ <p class="break-words sm:break-normal text-xs lg:text-base">{{ documentData._source.oea_abstract }}</p>
+ </div>
+
+ <!-- Details Metadata Begin -->
+ <div class="fourth-grey mt-4 flex flex-row border border-solid">
+ <div class="flex w-full flex-col lg:flex-row m-2">
+ <div class="grid lg:w-3/4 grid-cols-4 gap-y-2 gap-x-20 justify-items-start place-items-center">
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('author') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <NuxtLink v-for="(author, index) in documentData._source.oea_authors" :key="index"
+ :to="localePath(authorUrl(author))" class="green-one">
+ <span v-if="index === documentData._source.oea_authors.length - 1">{{ author }}</span>
+ <span v-else class="mr-1">{{ author }}; </span>
+ </NuxtLink>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('uploadDate') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">{{ formatDate(documentData._source.oea_classification_03) }}</div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('discipline') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(discipline, idx) in documentData._source.oea_classification_01">
+ <span v-if="idx === documentData._source.oea_classification_01.length - 1">{{ formatDiscipline(discipline)
+ }}</span>
+ <span v-else class="mr-1">{{ formatDiscipline(discipline) }}; </span>
+ </span>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('learningRT') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(learningRT, idx) in documentData._source.oea_classification_04">
+ <span v-if="idx === documentData._source.oea_classification_04.length - 1">{{ formatLearningRT(learningRT)
+ }}</span>
+ <span v-else class="mr-1">{{ formatLearningRT(learningRT) }}; </span>
+ </span>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('language') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(language, idx) in documentData._source.oea_classification_06">
+ <span v-if="idx === documentData._source.oea_classification_06.length - 1">{{ formatLanguage(language)
+ }}</span>
+ <span v-else class="mr-1">{{ formatLanguage(language) }}; </span>
+ </span>
+ </div>
+ </div>
+ <div class="flex lg:w-1/4 flex-col">
+ <div class="mb-2 mt-2 flex justify-start lowercase lg:justify-end break-words sm:break-normal text-xs lg:text-base">{{
+ documentData._source.oea_classification_05 }}</div>
+ <div class="mt-2 flex justify-start lg:mt-8 lg:justify-end">
+ <a :href="licenceUrlExternal" target="_blank">
+ <div class="flex w-32 items-start justify-start lg:ml-4 lg:justify-end">
+ <img v-if="licenceIcon('CC')" src="~/static/cc/cc.svg" class="sm:l-1 w-6" alt="CC" />
+ <img v-if="licenceIcon('CC0')" src="~/static/cc/zero.svg" class="ml-1 w-6" alt="Zero" />
+ <img v-if="licenceIcon('BY')" src="~/static/cc/by.svg" class="ml-1 w-6" alt="BY" />
+ <img v-if="licenceIcon('NC')" src="~/static/cc/nc-eu.svg" class="ml-1 w-6" alt="NC" />
+ <img v-if="licenceIcon('SA')" src="~/static/cc/sa.svg" class="ml-1 w-6" alt="SA" />
+ <img v-if="licenceIcon('ND')" src="~/static/cc/nd.svg" class="ml-1 w-6" alt="ND" />
+ </div>
+ </a>
+ </div>
+ <div class="mt-1 flex justify-start lg:justify-end">
+ <p>
+ <a class="green-one" :href="licenceUrlExternal" target="_blank">
+ <p class="text-xs lg:ml-4">
+ {{ documentData._source.oea_classification_02 }}
+ <!-- <icon v-if="licenceUrlExternal.length > 0" icon="info-circle" class="w-2 ml-2" /> -->
+ </p>
+ </a>
+ </p>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- Details Metadata End -->
+ <div class="flex mt-4 flex-wrap lg:flex-nowrap">
+ <div class="flex">
+ <div v-if="!isCopied" tabindex="0" class="flex back-button w-full justify-start lg:w-56 lg:mr-4 mb-4 lg:mb-0"
+ @click="copyToClipBoard" @keyup.enter="copyToClipBoard">
+ <icon class="mr-2" icon="copy" />
+ <p>{{ $t('copy') }}</p>
+ </div>
+ <div v-if="isCopied" tabindex="0" class="flex copied-button w-full justify-start lg:w-56 lg:mr-4 mb-4 lg:mb-0"
+ @click="copyToClipBoard" @keyup.enter="copyToClipBoard">
+ <icon class="mr-2" icon="check-circle" />
+ <p>{{ $t('copied') }}</p>
+ </div>
+ </div>
+ <div class="flex filled-button w-full lg:w-56 justify-start">
+ <icon class="mr-2" icon="external-link-alt" />
+ <a :href="link" target="_blank">{{ documentData._index }}</a>
+ </div>
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState } from 'vuex'
+
+export default {
+ data() {
+ return {
+ modal: false,
+ isCopied: false,
+ }
+ },
+
+ computed: {
+ ...mapState({
+ documentData: (state) => state.documentData,
+ }),
+
+ link() {
+ // eslint-disable-next-line camelcase
+ return this.documentData?._source?.links?.links?.course || this.documentData?._source?.oea_object_direct_link || ''
+ },
+
+ licenceUrlExternal() {
+ if (this.documentData?._source?.oea_classification_02) {
+ var uri = ""
+ const element = this.documentData?._source?.oea_classification_02.split('.')
+ if (this.documentData?._source?.oea_classification_02.substring(0, 3).toLowerCase() === "cc-") {
+ uri = `https://creativecommons.org/licenses/${element[0].substring(3, element[0].length - 2)}/${element[0].substring(element[0].length - 1)}.${element[1].substring(0, 1)}${element[1].substring(1).replace('-', '/')}/deed.${this.$i18n.locale}`
+ uri = uri.toLowerCase()
+ } else if (this.documentData?._source?.oea_classification_02.substring(0, 3).toLowerCase() === "cc0") {
+ uri = `https://creativecommons.org/licenses/zero/${element[0].substring(element[0].length - 1)}.${element[1].substring(0, 1)}/deed.${this.$i18n.locale}`
+ uri = uri.toLowerCase()
+ } else {
+ uri = `https://spdx.org/licenses/${this.documentData?._source?.oea_classification_02}`
+ }
+ return `${uri}`
+ //return `https://creativecommons.org/licenses/${this.documentData?._source?.oea_classification_02.slice(3).split(' ').join('/').toLowerCase().replace('international','')}/deed.${this.$i18n.locale}`
+ } else {
+ return ``
+ }
+ },
+ formatThumbnail() {
+ //return `https://services.phaidra.univie.ac.at/api/object/o:1616695/thumbnail`
+ //return `https://oer-portal.uni-graz.at/edu-sharing/preview?nodeId=91d3c6ae-0b68-4e5a-8ba7-d28a408c4637&storeProtocol=workspace&storeId=SpacesStore&dontcache=1688666522459`
+ // console.log("in formatThumbnail:" + this.documentData?._source?.oea_thumbnail_url );
+ return this.documentData?._source?.oea_thumbnail_url || ''
+ },
+
+ },
+
+ methods: {
+ navigateToAuthorsPage(name) {
+ this.$router.push(`/author/${name.replace(/\s/g, '_')}`)
+ },
+
+ copyToClipBoard() {
+ this.isCopied = true
+ navigator.clipboard.writeText(this.link)
+ },
+
+ handleModal(state) {
+ this.modal = state
+ },
+
+ licenceIcon(licence) {
+ if (this.documentData._source.oea_classification_02) {
+ const licencesArr = this.documentData._source.oea_classification_02.split('-').join(' ').split(' ')
+ if (licencesArr.includes(licence)) return true
+ else return false
+ }
+ },
+
+ addToFavorites(id) {
+ this.changeFavorites(id)
+ },
+
+ authorUrl(authorId) {
+ return `/author/${authorId}`
+ },
+
+ formatDate(date) {
+ return `${date.slice(8, 10)}.${date.slice(5, 7)}.${date.slice(0, 4)}`
+ },
+
+ formatDiscipline(disciplineObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${disciplineObj.name_en}`
+ } else {
+ return `${disciplineObj.name_de}`
+ }
+ },
+
+ formatLearningRT(learningRTObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${learningRTObj.name_en}`
+ } else {
+ return `${learningRTObj.name_de}`
+ }
+ },
+
+ formatLanguage(languageObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${languageObj.name_en}`
+ } else {
+ return `${languageObj.name_de}`
+ }
+ },
+
+ formatThumbnailByTyp(t) {
+ // console.log("in formatThumbnailByTyp:" + t);
+ if (t === 'mp4') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'quicktime') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'mpeg') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'mp3') {
+ return `/thumb/file-audio-grey.svg`
+ } else if (t === 'pdf') {
+ return `/thumb/file-pdf-grey.svg`
+ } else if (t === 'doc') {
+ return `/thumb/file-word-grey.svg`
+ } else if (t === 'presentation') {
+ return `/thumb/file-powerpoint-grey.svg`
+ } else if (t === 'document') {
+ return `/thumb/file-word-grey.svg`
+ } else if (t === 'jpeg') {
+ return `/thumb/file-image-grey.svg`
+ } else if (t === 'png') {
+ return `/thumb/file-image-grey.svg`
+ } else if (t === 'zip') {
+ return `/thumb/file-zipper-grey.svg`
+ } else if (t === 'iMooX') {
+ return `https://imoox.at/mooc/pluginfile.php/1/core_admin/logocompact/300x300/1689339287/imoox_logo.png`
+ } else {
+ return `/thumb/question-grey.svg`
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Document/MetaData.vue b/oeaplatform/frontend/client/components/Document/MetaData.vue
new file mode 100644
index 0000000000000000000000000000000000000000..a227a4d6aaa8b1be5cdb9f091177782d2259f717
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Document/MetaData.vue
@@ -0,0 +1,283 @@
+<template>
+ <div class="w-full justify-center mt-4 overflow-x-scroll">
+ <div class="w-full max-w-7xl">
+ <table>
+ <tr>
+ <td class="highlight-table">course</td>
+ <td>context</td>
+ <td>{{ context }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>Course name</td>
+ <td>{{ courseName }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>language</td>
+ <td>{{ language }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>location</td>
+ <td>{{ location }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">File</td>
+ <td>authors</td>
+ <td>
+ <span v-for="(author, index) in documentData._source.oea_authors" :key="index">{{ author || '' }}, </span>
+ </td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>fileCreationTime</td>
+ <td>{{ creationTime }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="fileName">
+ <td class="td"></td>
+ <td>fileName</td>
+ <td>{{ fileName }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="language">
+ <td class="td"></td>
+ <td>language</td>
+ <td>{{ language }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="licenceName">
+ <td class="td"></td>
+ <td>license</td>
+ <td>name</td>
+ <td>{{ licenceName }}</td>
+ </tr>
+ <tr v-if="licenceShortName">
+ <td class="td"></td>
+ <td></td>
+ <td>shortName</td>
+ <td>{{ licenceShortName }}</td>
+ </tr>
+ <tr v-if="licenceUrl">
+ <td class="td"></td>
+ <td></td>
+ <td>url</td>
+ <td>
+ <a :href="licenceUrl" target="_blank" class="green-one">{{ licenceUrl }}</a>
+ </td>
+ </tr>
+ <tr v-if="oefosComputed">
+ <td class="td"></td>
+ <td>oefos</td>
+ <td>{{ oefosComputed }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="tags">
+ <td class="td"></td>
+ <td>tags</td>
+ <td>{{ tags }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="links">
+ <td class="highlight-table">links</td>
+ <td>links</td>
+ <td>course</td>
+ <td class="green-one">
+ <a :href="links" target="_blank" class="green-one">{{ links }}</a>
+ </td>
+ </tr>
+ <tr v-if="fileLink">
+ <td class="td"></td>
+ <td></td>
+ <td>file</td>
+ <td class="green-one">
+ <a :href="fileLink" target="_blank" class="green-one">{{ fileLink }}</a>
+ </td>
+ </tr>
+ <tr v-if="linksId">
+ <td class="td"></td>
+ <td></td>
+ <td>id</td>
+ <td>{{ linksId }}</td>
+ </tr>
+ <tr v-if="descriptionDe">
+ <td class="highlight-table">unit</td>
+ <td>description</td>
+ <td>de</td>
+ <td>{{ descriptionDe }}</td>
+ </tr>
+ <tr v-if="descriptionEn">
+ <td class="td"></td>
+ <td></td>
+ <td>en</td>
+ <td>{{ descriptionEn }}</td>
+ </tr>
+ <tr v-if="lecturers">
+ <td class="td"></td>
+ <td>lecturers</td>
+ <td>{{ lecturers }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="objectivesDe">
+ <td class="td"></td>
+ <td>objectives</td>
+ <td>de</td>
+ <td>{{ objectivesDe }}</td>
+ </tr>
+ <tr v-if="objectivesEn">
+ <td class="td"></td>
+ <td></td>
+ <td>en</td>
+ <td>{{ objectivesEn }}</td>
+ </tr>
+ <tr v-if="organizations">
+ <td class="td"></td>
+ <td>orgainzations</td>
+ <td>{{ organizations }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="semester">
+ <td class="td"></td>
+ <td>semester</td>
+ <td>{{ semester }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="structures">
+ <td class="td"></td>
+ <td>structures</td>
+ <td>{{ structures }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="year">
+ <td class="td"></td>
+ <td>year</td>
+ <td>{{ year }}</td>
+ <td></td>
+ </tr>
+ </table>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState } from 'vuex'
+/* eslint-disable camelcase */
+export default {
+ computed: {
+ ...mapState({
+ documentData: (state) => state.documentData,
+ }),
+
+ oefosComputed() {
+ if (this.documentData?._source?.file?.oefos) {
+ const oefosArr = Object.values(this.documentData._source.file.oefos)
+ let oefosString = ''
+ oefosArr.forEach((item) => (oefosString += item + ', '))
+ return oefosString.slice(0, -2)
+ } else return ''
+ },
+
+ context() {
+ return this.documentData?._source?.educational_context ? this.displayArr(this.documentData._source.educational_context) : this.documentData?._source?.course?.context || ''
+ },
+ courseName() {
+ return this.documentData?._source?.dc_title ? this.displayArr(this.documentData?._source?.dc_title) : this.documentData?._source?.course?.courseName[0]?.de || ''
+ },
+ language() {
+ if (this.documentData?._source?.dc_language) return this.displayArr(this.documentData?._source?.dc_language)
+ else return this.documentData?._source?.file?.language || ''
+ },
+ location() {
+ return this.documentData?._source?.bib_roles_corp_aut ? this.displayArr(this.documentData?._source?.bib_roles_corp_aut) : this.documentData?._source?.course?.location
+ },
+ fileName() {
+ return this.documentData?._source?.file?.filename || ''
+ },
+ creationTime() {
+ return this.documentData?._source?.oea_classification_03 || this.documentData?._source?.created || ''
+ },
+ licenceName() {
+ return this.documentData?._source?.file?.license?.name || this.documentData?._source?.dc_license[0]
+ },
+ licenceShortName() {
+ return this.documentData?._source?.file?.license?.shortname || ''
+ },
+ licenceUrl() {
+ return this.documentData?._source?.file?.license?.url || this.documentData?._source?.dc_license[1]
+ },
+ tags() {
+ return this.documentData?._source?.file?.tags ? this.documentData._source.file.tags : ''
+ },
+ links() {
+ return this.documentData?._source?.links?.links?.course ? this.documentData._source.links.links.course : ''
+ },
+ fileLink() {
+ return this.documentData?._source?.links?.links?.file ? this.documentData._source.links.links.file : ''
+ },
+ linksId() {
+ return this.documentData?._source?.links?.links?.id ? this.documentData._source.links.links.id : ''
+ },
+ descriptionDe() {
+ return this.documentData?._source?.unit?.descriptions[0]?.de ? this.documentData._source.unit.descriptions[0].de : this.documentData?._source?.dc_description[0]
+ },
+ descriptionEn() {
+ return this.documentData?._source?.unit?.descriptions[1]?.en ? this.documentData._source.unit.descriptions[1].en : this.documentData?._source?.dc_description_deu[0]
+ },
+ lecturers() {
+ return this.documentData?._source?.unit?.lecturers ? this.displayArr(this.documentData?._source?.unit?.lecturers) : ''
+ },
+ objectivesDe() {
+ return this.documentData?._source?.unit?.objectives ? this.documentData?._source?.unit?.objectives[0].de : ''
+ },
+ objectivesEn() {
+ return this.documentData?._source?.unit?.objectives ? this.documentData?._source?.unit?.objectives[1].en : ''
+ },
+ organizations() {
+ return this.documentData?._source?.unit?.organisations?.length > 0 ? this.displayArr(this.documentData?._source?.unit?.organisations) : ''
+ },
+ semester() {
+ return this.documentData?._source?.unit?.semester ? this.documentData?._source?.unit?.semester : ''
+ },
+ structures() {
+ return this.documentData?._source?.unit?.structures?.length > 0 ? this.displayArr(this.documentData?._source?.unit?.structures) : ''
+ },
+ year() {
+ return this.documentData?._source?.unit?.year ? this.documentData?._source?.unit?.year : ''
+ },
+ },
+
+ methods: {
+ displayArr(arr) {
+ let str = ''
+ arr.forEach((item) => (str += item + ', '))
+ return str.slice(0, -2)
+ },
+ },
+}
+</script>
+
+<style scoped>
+td {
+ background-color: #f8f8f8;
+ border: 2px solid #fff;
+ color: #606060;
+ padding: 0.5rem 1rem;
+ text-align: left;
+}
+
+.td:first-child {
+ border-left: 4px solid #e0e0e0;
+}
+
+tr .highlight-table {
+ border-left: 4px solid #ff9600;
+ font-weight: bold;
+ padding-right: 6rem;
+}
+</style>
diff --git a/oeaplatform/frontend/client/components/Document/OpenLibMetaData.vue b/oeaplatform/frontend/client/components/Document/OpenLibMetaData.vue
new file mode 100644
index 0000000000000000000000000000000000000000..d328605864ab6b5a147ea2564a5952335f205c5b
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Document/OpenLibMetaData.vue
@@ -0,0 +1,262 @@
+<template>
+ <div class="w-full justify-center mt-4 overflow-x-scroll">
+ <div class="w-full max-w-7xl">
+ <table>
+ <tr>
+ <td class="highlight-table">course</td>
+ <td>context</td>
+ <td>{{ context }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>Course name</td>
+ <td>{{ courseName }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>language</td>
+ <td>{{ language }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>location</td>
+ <td>{{ location }}</td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">File</td>
+ <td>authors</td>
+ <td>
+ <span v-for="(author, index) in documentData._source.oea_authors" :key="index">{{ author || '' }}, </span>
+ </td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="td"></td>
+ <td>fileCreationTime</td>
+ <td>{{ creationTime }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="fileName">
+ <td class="td"></td>
+ <td>fileName</td>
+ <td>{{ fileName }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="language">
+ <td class="td"></td>
+ <td>language</td>
+ <td>{{ language }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="licenceName">
+ <td class="td"></td>
+ <td>license</td>
+ <td>name</td>
+ <td>{{ licenceName }}</td>
+ </tr>
+ <tr v-if="licenceShortName">
+ <td class="td"></td>
+ <td></td>
+ <td>shortName</td>
+ <td>{{ licenceShortName }}</td>
+ </tr>
+ <tr v-if="licenceUrl">
+ <td class="td"></td>
+ <td></td>
+ <td>url</td>
+ <td>
+ <a :href="licenceUrl" target="_blank" class="green-one">{{ licenceUrl }}</a>
+ </td>
+ </tr>
+ <tr v-if="oefosComputed">
+ <td class="td"></td>
+ <td>oefos</td>
+ <td>{{ oefosComputed }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="tags">
+ <td class="td"></td>
+ <td>tags</td>
+ <td>{{ tags }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="links">
+ <td class="highlight-table">links</td>
+ <td>links</td>
+ <td>course</td>
+ <td class="green-one">
+ <a :href="links" target="_blank" class="green-one">{{ links }}</a>
+ </td>
+ </tr>
+ <tr v-if="fileLink">
+ <td class="td"></td>
+ <td></td>
+ <td>file</td>
+ <td class="green-one">
+ <a :href="fileLink" target="_blank" class="green-one">{{ fileLink }}</a>
+ </td>
+ </tr>
+ <tr v-if="linksId">
+ <td class="td"></td>
+ <td></td>
+ <td>id</td>
+ <td>{{ linksId }}</td>
+ </tr>
+ <tr v-if="descriptionDe">
+ <td class="highlight-table">unit</td>
+ <td>description</td>
+ <td>de</td>
+ <td>{{ descriptionDe }}</td>
+ </tr>
+ <tr v-if="descriptionEn">
+ <td class="td"></td>
+ <td></td>
+ <td>en</td>
+ <td>{{ descriptionEn }}</td>
+ </tr>
+ <tr v-if="lecturers">
+ <td class="td"></td>
+ <td>lecturers</td>
+ <td>{{ lecturers }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="objectivesDe">
+ <td class="td"></td>
+ <td>objectives</td>
+ <td>de</td>
+ <td>{{ objectivesDe }}</td>
+ </tr>
+ <tr v-if="objectivesEn">
+ <td class="td"></td>
+ <td></td>
+ <td>en</td>
+ <td>{{ objectivesEn }}</td>
+ </tr>
+ <tr v-if="organizations">
+ <td class="td"></td>
+ <td>orgainzations</td>
+ <td>{{ organizations }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="semester">
+ <td class="td"></td>
+ <td>semester</td>
+ <td>{{ semester }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="structures">
+ <td class="td"></td>
+ <td>structures</td>
+ <td>{{ structures }}</td>
+ <td></td>
+ </tr>
+ <tr v-if="year">
+ <td class="td"></td>
+ <td>year</td>
+ <td>{{ year }}</td>
+ <td></td>
+ </tr>
+ </table>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState } from 'vuex'
+/* eslint-disable camelcase */
+export default {
+ computed: {
+ ...mapState({
+ documentData: (state) => state.documentData,
+ }),
+
+ oefosComputed() {
+ if (this.documentData?._source?.file?.oefos) {
+ const oefosArr = Object.values(this.documentData._source.file.oefos)
+ let oefosString = ''
+ oefosArr.forEach((item) => (oefosString += item + ', '))
+ return oefosString.slice(0, -2)
+ } else return ''
+ },
+
+ context() {
+ return this.documentData?._source?.course?.context || ''
+ },
+ courseName() {
+ return this.documentData?._source?.course?.courseName[0]?.de || ''
+ },
+ language() {
+ return this.documentData?._source?.file?.language || ''
+ },
+ location() {
+ return this.documentData?._source?.course?.location || ''
+ },
+ fileName() {
+ return this.documentData?._source?.file?.filename || ''
+ },
+ creationTime() {
+ return this.documentData?._source?.oea_classification_03 || ''
+ },
+ licenceName() {
+ return this.documentData?._source?.file?.license?.name || ''
+ },
+ licenceShortName() {
+ return this.documentData?._source?.file?.license?.shortname || ''
+ },
+ licenceUrl() {
+ return this.documentData?._source?.file?.license?.url || ''
+ },
+ tags() {
+ return this.documentData?._source?.file?.tags || ''
+ },
+ links() {
+ return this.documentData?._source?.links?.links?.course || ''
+ },
+ fileLink() {
+ return this.documentData?._source?.links?.links?.file || ''
+ },
+ linksId() {
+ return this.documentData?._source?.links?.links?.id || ''
+ },
+ descriptionDe() {
+ return this.documentData?._source?.unit?.descriptions[0]?.de || ''
+ },
+ descriptionEn() {
+ return this.documentData?._source?.unit?.descriptions[1]?.en || ''
+ },
+ lecturers() {
+ return this.documentData?._source?.unit?.lecturers && this.displayArr(this.documentData?._source?.unit?.lecturers)
+ },
+ objectivesDe() {
+ return this.documentData?._source?.unit?.objectives[0]?.de || ''
+ },
+ objectivesEn() {
+ return this.documentData?._source?.unit?.objectives[1].en || ''
+ },
+ organizations() {
+ return this.documentData?._source?.unit?.organisations && this.displayArr(this.documentData?._source?.unit?.organisations)
+ },
+ semester() {
+ return this.documentData?._source?.unit?.semester || ''
+ },
+ structures() {
+ return this.documentData?._source?.unit?.structures && this.displayArr(this.documentData?._source?.unit?.structures)
+ },
+ year() {
+ return this.documentData?._source?.unit?.year || ''
+ },
+ },
+
+ methods: {
+ displayArr(arr) {
+ let str = ''
+ arr.forEach((item) => (str += item + ', '))
+ return str.slice(0, -2)
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Document/PhaidraMetaData.vue b/oeaplatform/frontend/client/components/Document/PhaidraMetaData.vue
new file mode 100644
index 0000000000000000000000000000000000000000..cd7199c91558b28fbe874bd188ff8a254b1b822e
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Document/PhaidraMetaData.vue
@@ -0,0 +1,206 @@
+<template>
+ <div class="w-full justify-center mt-4 overflow-x-scroll">
+ <div class="w-full max-w-7xl">
+ <table>
+ <tr>
+ <td class="highlight-table">Resource Type</td>
+ <td>{{ documentData._source.resourcetype || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Licence</td>
+ <td>{{ documentData._source.dc_license[0] }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Created</td>
+ <td>{{ documentData._source.tcreated[0] || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Oea Classification 00</td>
+ <td>{{ documentData._source.oea_classification_00 || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Data Streams</td>
+ <td>
+ <span v-for="(datastream, index) in documentData._source.datastreams" :key="index">{{ datastream || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Title</td>
+ <td>{{ documentData._source.oea_title || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Dc Title Deu</td>
+ <td>
+ <span v-for="(title, index) in documentData._source.dc_title_deu" :key="index">{{ title || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Dc Creator</td>
+ <td>
+ <span v-for="(creator, index) in documentData._source.dc_creator" :key="index">{{ creator || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Size</td>
+ <td>{{ documentData._source.size }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Version</td>
+ <td>{{ documentData._source._version }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Oea Abstract</td>
+ <td>{{ documentData._source.oea_abstract }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Dc Type Eng</td>
+ <td>
+ <span v-for="(type, index) in documentData._source.dc_type_eng" :key="index">{{ type || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Dc Description</td>
+ <td>
+ <span v-for="(description, index) in documentData._source.dc_description" :key="index">{{ description || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">ID</td>
+ <td>{{ documentData._source.pid || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Format</td>
+ <td>
+ <span v-for="(format, index) in documentData._source.dc_format" :key="index">{{ format || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Description deu</td>
+ <td>
+ <span v-for="(description, index) in documentData._source.description_deu" :key="index">{{ description || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Dc Identifier</td>
+ <td>
+ <span v-for="(identifier, index) in documentData._source.dc_identifier" :key="index">{{ identifier || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Model</td>
+ <td>{{ documentData._source.cmodel || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Modified</td>
+ <td>{{ documentData._source.modified || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Dc Title</td>
+ <td>
+ <span v-for="(title, index) in documentData._source.dc_title" :key="index">{{ title || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Link</td>
+ <td>
+ <a class="green-one" :href="documentData._source.oea_object_direct_link || ''" target="_blank">{{ documentData._source.oea_object_direct_link || '' }}</a>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Dc Rights</td>
+ <td>
+ <span v-for="(right, index) in documentData._source.dc_rights" :key="index">{{ right || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Created</td>
+ <td>{{ documentData._source.created || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Oea Classification 02</td>
+ <td>{{ documentData._source.oea_classification_02 || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Authors</td>
+ <td>
+ <span v-for="(author, index) in documentData._source.oea_authors" :key="index">{{ author || '' }}, </span>
+ </td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Oea Classification 03</td>
+ <td>{{ documentData._source.oea_classification_03 || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ <tr>
+ <td class="highlight-table">Sort Deu Dc Title</td>
+ <td>{{ documentData._source.sort_deu_dc_title || '' }}</td>
+ <td></td>
+ <td></td>
+ </tr>
+ </table>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState } from 'vuex'
+/* eslint-disable camelcase */
+export default {
+ computed: {
+ ...mapState({
+ documentData: (state) => state.documentData,
+ }),
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Document/VueJsonToTable.vue b/oeaplatform/frontend/client/components/Document/VueJsonToTable.vue
new file mode 100644
index 0000000000000000000000000000000000000000..9c54970ab4a937793178f1bdad74fe045ee226eb
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Document/VueJsonToTable.vue
@@ -0,0 +1,67 @@
+/* eslint-disable vue/valid-v-else */
+<template>
+ <div v-if="data" class="table-main">
+ <tr v-for="(row, index) in arrData" :key="index" class="row-data d-flex">
+ <td :class="[isFirst ? 'highlight-table' : '']">
+ {{ keyTitle(row) }}
+ </td>
+ <td v-if="['string', 'number'].includes(checkValueType(data[row]))" class="remove-border">
+ <a v-if="isLink(data[row])" class="green-one" :href="data[row]">{{ data[row] }}</a>
+ <p v-if="!isLink(data[row])">{{ data[row] }}</p>
+ </td>
+ <td v-else-if="checkValueType(data[row]) === 'array'" class="remove-border">
+ <span v-for="(arrRow, index2) in data[row]" :key="index2" class="d-flex">
+ <span v-if="['string', 'number'].includes(checkValueType(arrRow))">
+ <a v-if="isLink(arrRow)" class="green-one" :href="arrRow">{{ arrRow }}</a>
+ <p v-if="!isLink(arrRow)">{{ arrRow }}</p>
+ </span>
+ <span v-else>
+ <VueJsonToTable :data="arrRow" :is-first="false" />
+ </span>
+ </span>
+ </td>
+ <VueJsonToTable v-else :data="data[row]" :is-first="false" />
+ </tr>
+ </div>
+</template>
+
+<script>
+// !NOTE This component is used to automatically render metadata from
+// !JSON to HTML Table
+import VueJsonToTable from './VueJsonToTable'
+export default {
+ name: 'VueJsonToTable',
+ components: {
+ VueJsonToTable,
+ },
+ props: {
+ data: {
+ type: Object,
+ default: () => null,
+ },
+ isFirst: {
+ type: Boolean,
+ default: true,
+ },
+ },
+ computed: {
+ arrData() {
+ return Object.keys(this.data).sort()
+ },
+ },
+ methods: {
+ keyTitle(key) {
+ return key.split('_').join(' ')
+ },
+ checkValueType(val) {
+ if (typeof val !== 'object') {
+ return typeof val
+ }
+ return Array.isArray(val) ? 'array' : 'object'
+ },
+ isLink(str) {
+ return str.toLowerCase().startsWith('http')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/FavoriteToolTip.vue b/oeaplatform/frontend/client/components/FavoriteToolTip.vue
new file mode 100644
index 0000000000000000000000000000000000000000..521cf676f2d7e5a75490c1fa7cfe012a7517afa0
--- /dev/null
+++ b/oeaplatform/frontend/client/components/FavoriteToolTip.vue
@@ -0,0 +1,17 @@
+<template>
+ <div class="boxy">
+ <div class="arrowz1"></div>
+ <p>{{ $t('favoriteTooltip') }}</p>
+ </div>
+</template>
+
+<script>
+export default {
+ props: {
+ text: {
+ type: String,
+ default: '',
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Favorites/Document.vue b/oeaplatform/frontend/client/components/Favorites/Document.vue
new file mode 100644
index 0000000000000000000000000000000000000000..3729c1305b006bfade2cdcc9283aa95436e9bc04
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Favorites/Document.vue
@@ -0,0 +1,306 @@
+<template>
+ <div v-if="!isDeleted" class="w-full justify-center result-border pb-4 mt-4 px-0">
+ <div class="w-full max-w-7xl">
+ <div class="flex mb-4 w-full">
+ <NuxtLink :to="localePath(documentUrl)" class="green-one title cursor-pointer leading-tight">
+ <h2 class="text-lg lg:text-2xl ">
+ {{ title }}
+ </h2>
+ </NuxtLink>
+ <button class="flex green-one lg:text-lg secondary-button cursor-pointer items-center ml-auto h-12 "
+ @click="removeFromFavorites(id)">
+ <icon class="lg:mr-1 lg:ml-1" icon="trash-alt" :aria-hidden="false" :aria-label="$t('remove')" />
+ <!-- <p class="hidden lg:flex">{{ $t('remove') }}</p> -->
+ </button>
+ </div>
+ <!-- on the right side:
+ <div class="grid grid-cols-8 gap-y-2 gap-x-20 justify-items-start place-items-center">
+ <div class="col-span-6 main-black light break-words description">
+ <p>{{ description }}</p>
+ </div>
+ <div class="col-span-2 place-self-end">
+ <span v-if="thumbnailUrl === ''">{{ type }}</span>
+ <span v-else ><img class="sm:l-1 h-20" :src="formatThumbnail" :alt="type"/><span class="sr-only">{{ type }}</span></span>
+ </div>
+ </div>
+ -->
+ <div class="w-full main-black light flex">
+ <img v-if="formatThumbnail === ''"
+ class="object-scale-down object-center mt-2 mr-2 h-16 w-20 lg:mr-4 lg:h-48 lg:w-60 float-left shadow-md"
+ :src="formatThumbnailByTyp(type)" :alt="type" />
+ <img v-else
+ class="object-scale-down object-center mt-2 mr-2 h-16 w-20 lg:mr-4 lg:h-48 lg:w-60 float-left shadow-md"
+ :src="formatThumbnail" :alt="type" />
+ <span class="sr-only">{{ type }}</span>
+ <p class="break-words sm:break-normal text-xs lg:text-base">{{ description }}</p>
+ </div>
+
+ <!-- Details Metadata Begin -->
+ <div class="fourth-grey mt-4 flex flex-row border border-solid">
+ <div class="flex w-full flex-col lg:flex-row m-2">
+ <div class="grid lg:w-3/4 grid-cols-4 gap-y-2 gap-x-20 justify-items-start place-items-center">
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('author') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <NuxtLink v-for="(author, index) in authors" :key="index" :to="localePath(authorUrl(author))"
+ class="green-one">
+ <span v-if="index === authors.length - 1">{{ author }}</span>
+ <span v-else class="mr-1">{{ author }}; </span>
+ </NuxtLink>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('uploadDate') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">{{ formatDate }}</div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('source') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base"><a class="green-one" :href="link" target="_blank"><icon class="mr-1" icon="external-link-alt" />{{ source }}</a></div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('discipline') }}:</div>
+ <div class="col-span-3">
+ <span v-for="(discipline, idx) in disciplineList">
+ <span v-if="idx === disciplineList.length - 1">{{ formatDiscipline(discipline) }}</span>
+ <span v-else class="mr-1">{{ formatDiscipline(discipline) }}; </span>
+ </span>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('learningRT') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(learningRT, idx) in learningRTList">
+ <span v-if="idx === learningRTList.length - 1">{{ formatLearningRT(learningRT) }}</span>
+ <span v-else class="mr-1">{{ formatLearningRT(learningRT) }}; </span>
+ </span>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('language') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(language, idx) in languageList">
+ <span v-if="idx === languageList.length - 1">{{ formatLanguage(language) }}</span>
+ <span v-else class="mr-1">{{ formatLanguage(language) }}; </span>
+ </span>
+ </div>
+ </div>
+ <div class="flex lg:w-1/4 flex-col">
+ <div class="mb-2 mt-2 flex justify-start lowercase lg:justify-end break-words sm:break-normal text-xs lg:text-base">{{ type }}</div>
+ <div class="mt-2 flex justify-start lg:mt-8 lg:justify-end">
+ <a :href="licenceUrlExternal" target="_blank">
+ <div class="flex w-32 items-start justify-start lg:ml-4 lg:justify-end">
+ <img v-if="licenceIcon('CC')" src="~/static/cc/cc.svg" class="sm:l-1 w-6" alt="CC" />
+ <img v-if="licenceIcon('CC0')" src="~/static/cc/zero.svg" class="ml-1 w-6" alt="Zero" />
+ <img v-if="licenceIcon('BY')" src="~/static/cc/by.svg" class="ml-1 w-6" alt="BY" />
+ <img v-if="licenceIcon('NC')" src="~/static/cc/nc-eu.svg" class="ml-1 w-6" alt="NC" />
+ <img v-if="licenceIcon('SA')" src="~/static/cc/sa.svg" class="ml-1 w-6" alt="SA" />
+ <img v-if="licenceIcon('ND')" src="~/static/cc/nd.svg" class="ml-1 w-6" alt="ND" />
+ </div>
+ </a>
+ </div>
+ <div class="mt-1 flex justify-start lg:justify-end">
+ <p>
+ <a class="green-one" :href="licenceUrlExternal" target="_blank">
+ <p class="text-xs lg:ml-4">
+ {{ licence }}
+ <!-- <icon v-if="licenceUrlExternal.length > 0" icon="info-circle" class="w-2 ml-2" /> -->
+ </p>
+ </a>
+ </p>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- Details Metadata End -->
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapMutations } from 'vuex'
+
+export default {
+ props: {
+ id: {
+ type: String,
+ default: '',
+ },
+ title: {
+ type: String,
+ default: '',
+ },
+ description: {
+ type: String,
+ default: '',
+ },
+ authors: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ createdAt: {
+ type: String,
+ default: '',
+ },
+ link: {
+ type: String,
+ default: '',
+ },
+ thumbnailUrl: {
+ type: String,
+ default: '',
+ },
+ source: {
+ type: String,
+ default: '',
+ },
+ type: {
+ type: String,
+ default: '',
+ },
+ licence: {
+ type: String,
+ default: '',
+ },
+ disciplineList: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ learningRTList: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ languageList: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ },
+
+ data() {
+ return {
+ isDeleted: false,
+ modal: false,
+ }
+ },
+
+ computed: {
+ formatDate() {
+ return `${this.createdAt.slice(8, 10)}.${this.createdAt.slice(5, 7)}.${this.createdAt.slice(0, 4)}`
+ },
+
+ documentUrl() {
+ return `/document/${this.id}`
+ },
+
+ licenceUrlExternal() {
+ if (this.licence) {
+ var uri = ""
+ const element = this.licence.split('.')
+ if (this.licence.substring(0, 3).toLowerCase() === "cc-") {
+ uri = `https://creativecommons.org/licenses/${element[0].substring(3, element[0].length - 2)}/${element[0].substring(element[0].length - 1)}.${element[1].substring(0, 1)}${element[1].substring(1).replace('-', '/')}/deed.${this.$i18n.locale}`
+ uri = uri.toLowerCase()
+ } else if (this.licence.substring(0, 3).toLowerCase() === "cc0") {
+ uri = `https://creativecommons.org/licenses/zero/${element[0].substring(element[0].length - 1)}.${element[1].substring(0, 1)}/deed.${this.$i18n.locale}`
+ uri = uri.toLowerCase()
+ } else {
+ uri = `https://spdx.org/licenses/${this.licence}`
+ }
+ return `${uri}`
+ } else {
+ return ``
+ }
+ },
+ formatThumbnail() {
+ //return `https://services.phaidra.univie.ac.at/api/object/${this.id}/thumbnail`
+ return this.thumbnailUrl || ''
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeFavorites: 'changeFavorites',
+ fetchFavorites: 'fetchFavorites',
+ }),
+
+ handleLicenceToolTip(state) {
+ this.modal = state
+ },
+
+ navigateToDocument(id) {
+ this.$router.push(`/document/${id}`)
+ },
+
+ navigateToAuthorsPage(name) {
+ this.$router.push(`/author/${name.replace(/\s/g, '_')}`)
+ },
+
+ licenceIcon(licence) {
+ if (this.licence) {
+ const licencesArr = this.licence.split('-').join(' ').split(' ')
+ if (licencesArr.includes(licence)) return true
+ else return false
+ }
+ },
+
+ removeFromFavorites(id) {
+ this.isDeleted = true
+ this.changeFavorites(id)
+ },
+
+ authorUrl(authorId) {
+ return `/author/${authorId}`
+ },
+
+ formatDiscipline(disciplineObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${disciplineObj.name_en}`
+ } else {
+ return `${disciplineObj.name_de}`
+ }
+ },
+
+ formatLearningRT(learningRTObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${learningRTObj.name_en}`
+ } else {
+ return `${learningRTObj.name_de}`
+ }
+ },
+
+ formatLanguage(languageObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${languageObj.name_en}`
+ } else {
+ return `${languageObj.name_de}`
+ }
+ },
+
+ formatThumbnailByTyp(t) {
+ if (t === 'mp4') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'quicktime') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'mpeg') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'mp3') {
+ return `/thumb/file-audio-grey.svg`
+ } else if (t === 'pdf') {
+ return `/thumb/file-pdf-grey.svg`
+ } else if (t === 'doc') {
+ return `/thumb/file-word-grey.svg`
+ } else if (t === 'presentation') {
+ return `/thumb/file-powerpoint-grey.svg`
+ } else if (t === 'document') {
+ return `/thumb/file-word-grey.svg`
+ } else if (t === 'jpeg') {
+ return `/thumb/file-image-grey.svg`
+ } else if (t === 'png') {
+ return `/thumb/file-image-grey.svg`
+ } else if (t === 'zip') {
+ return `/thumb/file-zipper-grey.svg`
+ } else if (t === 'iMooX') {
+ return `https://imoox.at/mooc/pluginfile.php/1/core_admin/logocompact/300x300/1689339287/imoox_logo.png`
+ } else {
+ return `/thumb/question-grey.svg`
+ }
+ },
+
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/AppliedFiltersList.vue b/oeaplatform/frontend/client/components/Filters/AppliedFiltersList.vue
new file mode 100644
index 0000000000000000000000000000000000000000..12c169f827a0dd09709739b3088caaf1d2fac4b6
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/AppliedFiltersList.vue
@@ -0,0 +1,136 @@
+<template>
+ <div class="w-screen flex justify-center px-4">
+ <div class="flex justify-start items-center pt-1">
+ <div class="flex flex-wrap w-full justify-start border-solid border-2 p-2">
+ <div v-for="discipline in selectedDisciplines" :key="discipline.id"
+ class="discipline-filter-box flex items-center justify-start m-1">
+ {{ $nuxt.$route.name === 'index___en' ? discipline.nameEn : discipline.nameDe }}
+ <button class="ml-8" type="button" @click="removeDiscipline(discipline.id)">
+ <icon class="green-icon relative cursor-pointer" icon="times-circle" />
+ </button>
+ </div>
+ <div v-for="learningRT in selectedLearningRTs" :key="learningRT.id"
+ class="learningrt-filter-box flex items-center justify-start m-1">
+ {{ $nuxt.$route.name === 'index___en' ? learningRT.nameEn : learningRT.nameDe }}
+ <button class="ml-8" type="button" @click="removeLearningRT(learningRT.id)">
+ <icon class="green-icon relative cursor-pointer" icon="times-circle" />
+ </button>
+ </div>
+ <div v-for="language in selectedLanguages" :key="language.id"
+ class="language-filter-box flex items-center justify-start m-1">
+ {{ $nuxt.$route.name === 'index___en' ? language.nameEn : language.nameDe }}
+ <button class="ml-8" type="button" @click="removeLanguage(language.id)">
+ <icon class="green-icon relative cursor-pointer" icon="times-circle" />
+ </button>
+ </div>
+ <div v-for="(licence, index) in selectedLicences" :key="index"
+ class="licence-filter-box flex items-center justify-start m-1">
+ {{ licence }}
+ <button class="ml-8" type="button" @click="removeLicence(licence)">
+ <icon class="green-icon relative cursor-pointer" icon="times-circle" />
+ </button>
+ </div>
+ <div v-if="selectedDateRange" class="date-filter-box flex items-center justify-start m-1">
+ {{ $t(selectedDateRange.name) }}
+ <button class="ml-8" type="button" @click="removeDateRange(licence)">
+ <icon class="green-icon relative cursor-pointer" icon="times-circle" />
+ </button>
+ </div>
+ <div v-for="(source, index) in selectedSources" :key="index"
+ class="source-filter-box flex items-center justify-start m-1">
+ {{ source }}
+ <button class="ml-8" type="button" @click="removeSource(source)">
+ <icon class="green-icon relative cursor-pointer" icon="times-circle" />
+ </button>
+ </div>
+ <div v-for="(mediaType, index) in selectedMediaTypes" :key="index"
+ class="media-filter-box flex items-center justify-start m-1">
+ {{ mediaType }}
+ <button class="ml-8" type="button" @click="removeMedia(mediaType)">
+ <icon class="green-icon relative cursor-pointer" icon="times-circle" />
+ </button>
+ </div>
+ </div>
+ <div class="flex items-start text-lg green-one cursor-pointer p-2">
+ <button type="button" @click="handleReset">{{ $t('resetFilters') }}</button>
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+
+export default {
+ computed: {
+ ...mapState({
+ selectedDisciplines: (state) => state.selectedDisciplines,
+ selectedLearningRTs: (state) => state.selectedLearningRTs,
+ selectedLanguages: (state) => state.selectedLanguages,
+ selectedLicences: (state) => state.selectedLicences,
+ selectedDateRange: (state) => state.selectedDateRange,
+ selectedSources: (state) => state.selectedSources,
+ selectedMediaTypes: (state) => state.selectedMediaTypes,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedDisciplines: 'changeSelectedDisciplines',
+ changeSelectedLearningRTs: 'changeSelectedLearningRTs',
+ changeSelectedLanguages: 'changeSelectedLanguages',
+ changeSelectedLicences: 'changeSelectedLicences',
+ changeSelectedDateRange: 'changeSelectedDateRange',
+ changeSelectedSources: 'changeSelectedSources',
+ changeSelectedMediaTypes: 'changeSelectedMediaTypes',
+ resetFilters: 'resetFilters',
+ }),
+
+ removeDiscipline(id) {
+ const selectedDisciplines = [...this.selectedDisciplines]
+ this.changeSelectedDisciplines(selectedDisciplines.filter((item) => item.id !== id))
+ this.$emit('appliedFiltersListEmit')
+ },
+
+ removeLearningRT(id) {
+ const selectedLearningRTs = [...this.selectedLearningRTs]
+ this.changeSelectedLearningRTs(selectedLearningRTs.filter((item) => item.id !== id))
+ this.$emit('appliedFiltersListEmit')
+ },
+
+ removeLanguage(id) {
+ const selectedLanguages = [...this.selectedLanguages]
+ this.changeSelectedLanguages(selectedLanguages.filter((item) => item.id !== id))
+ this.$emit('appliedFiltersListEmit')
+ },
+
+ removeLicence(name) {
+ const selectedLicences = [...this.selectedLicences]
+ this.changeSelectedLicences(selectedLicences.filter((item) => item !== name))
+ this.$emit('appliedFiltersListEmit')
+ },
+
+ removeDateRange() {
+ this.changeSelectedDateRange('')
+ this.$emit('appliedFiltersListEmit')
+ },
+
+ removeSource(name) {
+ const selectedSources = [...this.selectedSources]
+ this.changeSelectedSources(selectedSources.filter((item) => item !== name))
+ this.$emit('appliedFiltersListEmit')
+ },
+
+ removeMedia(name) {
+ const selectedMediaTypes = [...this.selectedMediaTypes]
+ this.changeSelectedMediaTypes(selectedMediaTypes.filter((item) => item !== name))
+ this.$emit('appliedFiltersListEmit')
+ },
+
+ handleReset() {
+ this.resetFilters()
+ this.$emit('appliedFiltersListEmit')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Date/DatePicker.vue b/oeaplatform/frontend/client/components/Filters/Date/DatePicker.vue
new file mode 100644
index 0000000000000000000000000000000000000000..3dc4742cd234f69000416de7b1aeecd1d9d2ea1b
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Date/DatePicker.vue
@@ -0,0 +1,63 @@
+<template>
+ <div class="flex flex-col items-center w-full justify-center">
+ <div class="flex mb-2 text-left items-center">
+ <div class="text-right mr-2 w-10">
+ <p>{{ $t('from') }}</p>
+ </div>
+ <div class="flex w-32">
+ <date-picker v-model="startDateVal" value-type="format" @change="handleStartDate"></date-picker>
+ </div>
+ </div>
+ <div class="flex full items-center">
+ <div class="text-right mr-2 w-10">
+ <p>{{ $t('to') }}</p>
+ </div>
+ <div class="w-32 flex">
+ <date-picker v-model="endDateVal" value-type="format" @change="handleEndDate"></date-picker>
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import DatePicker from 'vue2-datepicker'
+import 'vue2-datepicker/index.css'
+import { mapMutations, mapState } from 'vuex'
+
+export default {
+ components: { DatePicker },
+
+ data() {
+ return {
+ startDateVal: '',
+ endDateVal: '',
+ }
+ },
+
+ computed: {
+ ...mapState({
+ startDate: (state) => state.startDate,
+ endDate: (state) => state.endDate,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeStartDate: 'changeStartDate',
+ changeEndDate: 'changeEndDate',
+ }),
+
+ handleStartDate() {
+ this.changeStartDate(this.startDateVal)
+ },
+
+ handleEndDate() {
+ this.changeEndDate(this.endDateVal)
+ },
+ },
+ created: function() {
+ this.startDateVal = this.startDate;
+ this.endDateVal = this.endDate;
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Date/Dates.vue b/oeaplatform/frontend/client/components/Filters/Date/Dates.vue
new file mode 100644
index 0000000000000000000000000000000000000000..9716aa04b2a04d6cb203d7f8591b651d4b9fd5f3
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Date/Dates.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="flex flex-col justify-start items-start w-full relative">
+ <button type="button" :aria-expanded="ariaExpanded" class="green-border flex w-32 lg:w-40 disciplines bg-white items-center second-black" @click="handleModal">
+ <p class="placeholder-grey">{{ $t('date') }}</p>
+ <p v-if="selectedDateRange" class="ml-3 green-background">1</p>
+ <icon class="ml-auto arrow-icon cursor-pointer" :icon="icon" />
+ </button>
+ <DatesModal v-if="modal === 'date'" @datesModalEmit="datesModalDatesEmit($event)"/>
+ <div v-if="modal === 'date'" class="backdrop" @click="handleOutsideModal()"></div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import DatesModal from './DatesModal'
+
+export default {
+ components: {
+ DatesModal,
+ },
+
+ computed: {
+ ...mapState({
+ selectedDateRange: (state) => state.selectedDateRange,
+ modal: (state) => state.modal,
+ }),
+
+ icon() {
+ return this.modal === 'date' ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal === 'date' ? 'true' : 'false'
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+
+ handleModal() {
+ this.modal !== 'date' ? this.changeModal('date') : this.changeModal('')
+ },
+
+ datesModalDatesEmit() {
+ this.$emit('datesEmit')
+ },
+
+ handleOutsideModal() {
+ this.handleModal()
+ this.datesModalDatesEmit()
+ }
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Date/DatesModal.vue b/oeaplatform/frontend/client/components/Filters/Date/DatesModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..bd8550c46e882769e50fb3cdbb17c8e6f247eada
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Date/DatesModal.vue
@@ -0,0 +1,92 @@
+<template>
+ <div class="dropdown-animation remove-focus main-grey box flex flex-col items-start justify-start rounded border bg-white py-2 text-center pop-up-width t-0">
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <ul class="disciplines-wrapper scorllbar">
+ <li class="w-full pl-4 flex border-b-2 bg-white text-left items-center mb-2 pb-2 cursor-pointer" @click="changeSelectedDateRange({ name: 'today', value: 'now/d' })">
+ <input id="today" class="mr-4 cursor-pointer" type="radio" name="dateRange" value="now/d" :checked="isChecked('now/d')" />
+ <label for="today" class="cursor-pointer">{{ $t('today') }}</label>
+ </li>
+
+ <li class="w-full pl-4 flex border-b-2 bg-white text-left items-center mb-2 pb-2 cursor-pointer" @click="changeSelectedDateRange({ name: 'lastWeek', value: 'now-7d/d' })">
+ <input id="lastWeek" class="mr-4 cursor-pointer" type="radio" name="dateRange" value="now-7d/d" :checked="isChecked('now-7d/d')" />
+ <label for="lastWeek" class="cursor-pointer">{{ $t('lastWeek') }}</label>
+ </li>
+
+ <li class="w-full pl-4 flex border-b-2 bg-white text-left items-center mb-2 pb-2 cursor-pointer" @click="changeSelectedDateRange({ name: 'lastMonth', value: 'now-1M/d' })">
+ <input id="lastMonth" class="mr-4 cursor-pointer" type="radio" name="dateRange" value="now-1M/d" :checked="isChecked('now-1M/d')" />
+ <label for="lastMonth" class="cursor-pointer">{{ $t('lastMonth') }}</label>
+ </li>
+
+ <li class="w-full pl-4 flex border-b-2 bg-white text-left items-center mb-2 pb-2 cursor-pointer" @click="changeSelectedDateRange({ name: 'lastYear', value: 'now-1y/d' })">
+ <input id="lastYear" class="mr-4 cursor-pointer" type="radio" name="dateRange" value="now-1y/d" :checked="isChecked('now-1y/d')" />
+ <label for="lastYear" class="cursor-pointer">{{ $t('lastYear') }}</label>
+ </li>
+
+ <li class="w-full pl-4 flex flex-col border-b-2 bg-white text-left items-center mb-2 pb-2" @click="changeSelectedDateRange({ name: 'customDate', value: 'customDate' })">
+ <div class="flex mr-auto items-center mb-2">
+ <input id="customDate" class="mr-4 cursor-pointer" type="radio" name="dateRange" value="now-1y/d" :checked="isChecked('customDate')" />
+ <label for="customDate" class="cursor-pointer">{{ $t('customDate') }}</label>
+ </div>
+ <DatePicker v-if="isChecked('customDate')" />
+ </li>
+ </ul>
+
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="resetFilters" @keyup.enter="resetFilters">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="applyFilter" @keyup.enter="applyFilter">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import DatePicker from './DatePicker'
+
+export default {
+ components: {
+ DatePicker,
+ },
+
+ data() {
+ return {
+ dateRange: '',
+ }
+ },
+
+ computed: {
+ ...mapState({
+ selectedDateRange: (state) => state.selectedDateRange,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedDateRange: 'changeSelectedDateRange',
+ changeModal: 'changeModal',
+ changeStartDate: 'changeStartDate',
+ changeEndDate: 'changeEndDate',
+ }),
+
+ isChecked(dateRange) {
+ return this.selectedDateRange.value === dateRange
+ },
+
+ applyFilter() {
+ this.changeModal('')
+ this.$emit('datesModalEmit')
+ },
+
+ resetFilters() {
+ this.changeSelectedDateRange('')
+ this.changeStartDate('')
+ this.changeEndDate('')
+ this.$emit('datesModalEmit')
+ },
+
+ handleFocus() {
+ this.changeModal('')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Disciplines/Discipline.vue b/oeaplatform/frontend/client/components/Filters/Disciplines/Discipline.vue
new file mode 100644
index 0000000000000000000000000000000000000000..fe0f910a8ad980d7ececd33a4154d3b0b62a1d5e
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Disciplines/Discipline.vue
@@ -0,0 +1,67 @@
+<template>
+ <li class="w-full flex border-b bg-white text-left mb-2 pb-2 cursor-pointer">
+ <div tabindex="0" role="checkbox" :aria-checked="isSelected ? 'true' : 'false'" class="w-full flex pl-4 items-center" @click="select" @keyup.enter="select">
+ <div :class="['w-full', 'order-first', 'main-grey', 'bold', isSelected && 'bold-active']">{{ $nuxt.$route.name === 'index___en' ? nameEn : nameDe }}</div>
+ <div class="order-last"><img v-if="isSelected" src="~/static/icon-check-green.svg" alt="check" class="mr-5" /></div>
+ </div>
+ </li>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+export default {
+ props: {
+ id: {
+ type: String,
+ default: '',
+ },
+ nameEn: {
+ type: String,
+ default: '',
+ },
+ nameDe: {
+ type: String,
+ default: '',
+ },
+ },
+
+ computed: {
+ ...mapState({
+ selectedDisciplines: (state) => state.selectedDisciplines,
+ }),
+ isSelected() {
+ return this.selectedDisciplines.some((element) => element.id === this.id)
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedDisciplines: 'changeSelectedDisciplines',
+ }),
+ searchDisciplines(event) {
+ this.changeFilteredDisciplines(
+ this.disciplines.filter((discipline) => {
+ return discipline.name_en.toLowerCase().includes(event.target.value.toLowerCase())
+ })
+ )
+ },
+ select() {
+ const selectedDisciplines = [...this.selectedDisciplines]
+ // Checks to see if array is empty, if it is then pushes the selected discipline
+ // if not, checks if selected discipline already exists in the array, if it does then
+ // it removes it
+ if (selectedDisciplines.length > 0) {
+ const findIndex = selectedDisciplines.findIndex((el) => el.id === this.id)
+ // -1 is returned if selected discipline is not in the array
+ if (findIndex === -1) this.changeSelectedDisciplines([...selectedDisciplines, { id: this.id, nameEn: this.nameEn, nameDe: this.nameDe }])
+ else {
+ const filteredDisciplines = selectedDisciplines.filter((el) => el.id !== this.id)
+ this.changeSelectedDisciplines(filteredDisciplines)
+ }
+ } else {
+ this.changeSelectedDisciplines([{ id: this.id, nameEn: this.nameEn, nameDe: this.nameDe }])
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Disciplines/Disciplines.vue b/oeaplatform/frontend/client/components/Filters/Disciplines/Disciplines.vue
new file mode 100644
index 0000000000000000000000000000000000000000..f062ae05994af12b716a46c42a48a5b9b875aa23
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Disciplines/Disciplines.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="flex flex-col justify-start items-start w-full relative">
+ <button type="button" :aria-expanded="ariaExpanded" class="green-border flex w-32 lg:w-40 disciplines bg-white items-center second-black" @click="handleModal">
+ <p class="placeholder-grey">{{ $t('discipline') }}</p>
+ <p v-if="selectedDisciplines.length > 0" class="ml-1 lg:ml-3 green-background">{{ selectedDisciplines.length }}</p>
+ <icon class="ml-auto arrow-icon cursor-pointer" :icon="icon"/>
+ </button>
+ <DisciplinesModal v-if="modal === 'discipline'" @disciplinesModalEmit="disciplinesModalDisciplinesEmit($event)"/>
+ <div v-if="modal === 'discipline'" class="backdrop" @click="handleOutsideModal()"></div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import DisciplinesModal from './DisciplinesModal'
+
+export default {
+ components: {
+ DisciplinesModal,
+ },
+
+ computed: {
+ ...mapState({
+ selectedDisciplines: (state) => state.selectedDisciplines,
+ modal: (state) => state.modal,
+ }),
+
+ icon() {
+ return this.modal === 'discipline' ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal === 'discipline' ? 'true' : 'false'
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+
+ handleModal() {
+ this.modal !== 'discipline' ? this.changeModal('discipline') : this.changeModal('')
+ },
+
+ disciplinesModalDisciplinesEmit() {
+ this.$emit('disciplinesEmit')
+ },
+
+ handleOutsideModal() {
+ this.handleModal()
+ this.disciplinesModalDisciplinesEmit()
+ }
+ }
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Disciplines/DisciplinesModal.vue b/oeaplatform/frontend/client/components/Filters/Disciplines/DisciplinesModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..29ee3d83c833f5c6f83c8d3909e4b00bab8711a0
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Disciplines/DisciplinesModal.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="lg:dropdown-animation remove-focus box flex flex-col items-center justify-start rounded border bg-white py-2 text-center pop-up-width" >
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <input aria-autocomplete="list" class="rounded border w-11/12 py-1 px-3 mb-4 mt-2 mx-4 bg-white placeholder-grey" :placeholder="$t('seekDiscipline')" @keyup="searchDisciplines" />
+ <ul class="disciplines-wrapper scorllbar ">
+ <Discipline v-for="discipline in filteredDisciplines" :id="discipline.id" :key="discipline.id" :name-en="discipline.name_en" :name-de="discipline.name_de" />
+ </ul>
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="handleReset()" @keyup.enter="handleReset()">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="handleSearch()" @keyup.enter="handleSearch()">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import Discipline from './Discipline'
+
+export default {
+ components: { Discipline },
+
+ computed: {
+ ...mapState({
+ disciplines: (state) => state.disciplines,
+ filteredDisciplines: (state) => state.filteredDisciplines,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeFilteredDisciplines: 'changeFilteredDisciplines',
+ changeSelectedDisciplines: 'changeSelectedDisciplines',
+ changeModal: 'changeModal',
+ }),
+
+ searchDisciplines(event) {
+ const filteredDisciplines = this.disciplines.filter((discipline) => {
+ if (this.$nuxt.$route.name === 'index___en') return discipline.name_en.toLowerCase().includes(event.target.value.toLowerCase())
+ else return discipline.name_de.toLowerCase().includes(event.target.value.toLowerCase())
+ })
+ this.changeFilteredDisciplines(filteredDisciplines)
+ },
+
+ handleReset() {
+ this.changeSelectedDisciplines([])
+ this.$emit('disciplinesModalEmit')
+ },
+
+ handleSearch() {
+ this.changeModal('')
+ this.$emit('disciplinesModalEmit')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Languages/Language.vue b/oeaplatform/frontend/client/components/Filters/Languages/Language.vue
new file mode 100644
index 0000000000000000000000000000000000000000..8e34474cc9fa54e548e5e20e9b145b1b5c122171
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Languages/Language.vue
@@ -0,0 +1,67 @@
+<template>
+ <li class="w-full flex border-b bg-white text-left mb-2 pb-2 cursor-pointer">
+ <div tabindex="0" role="checkbox" :aria-checked="isSelected ? 'true' : 'false'" class="w-full flex pl-4 items-center" @click="select" @keyup.enter="select">
+ <div :class="['w-full', 'order-first', 'main-grey', 'bold', isSelected && 'bold-active']">{{ $nuxt.$route.name === 'index___en' ? nameEn : nameDe }}</div>
+ <div class="order-last"><img v-if="isSelected" src="~/static/icon-check-green.svg" alt="check" class="mr-5" /></div>
+ </div>
+ </li>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+export default {
+ props: {
+ id: {
+ type: String,
+ default: '',
+ },
+ nameEn: {
+ type: String,
+ default: '',
+ },
+ nameDe: {
+ type: String,
+ default: '',
+ },
+ },
+
+ computed: {
+ ...mapState({
+ selectedLanguages: (state) => state.selectedLanguages,
+ }),
+ isSelected() {
+ return this.selectedLanguages.some((element) => element.id === this.id)
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedLanguages: 'changeSelectedLanguages',
+ }),
+ searchLanguages(event) {
+ this.changeFilteredLanguages(
+ this.languages.filter((language) => {
+ return language.name_en.toLowerCase().includes(event.target.value.toLowerCase())
+ })
+ )
+ },
+ select() {
+ const selectedLanguages = [...this.selectedLanguages]
+ // Checks to see if array is empty, if it is then pushes the selected language
+ // if not, checks if selected language already exists in the array, if it does then
+ // it removes it
+ if (selectedLanguages.length > 0) {
+ const findIndex = selectedLanguages.findIndex((el) => el.id === this.id)
+ // -1 is returned if selected language is not in the array
+ if (findIndex === -1) this.changeSelectedLanguages([...selectedLanguages, { id: this.id, nameEn: this.nameEn, nameDe: this.nameDe }])
+ else {
+ const filteredLanguages = selectedLanguages.filter((el) => el.id !== this.id)
+ this.changeSelectedLanguages(filteredLanguages)
+ }
+ } else {
+ this.changeSelectedLanguages([{ id: this.id, nameEn: this.nameEn, nameDe: this.nameDe }])
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Languages/Languages.vue b/oeaplatform/frontend/client/components/Filters/Languages/Languages.vue
new file mode 100644
index 0000000000000000000000000000000000000000..a189d83b06d2c0647ad0307230bfdbc300f4f34a
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Languages/Languages.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="flex flex-col justify-start items-start w-full relative">
+ <button type="button" :aria-expanded="ariaExpanded" class="green-border flex w-32 lg:w-40 disciplines bg-white items-center second-black" @click="handleModal">
+ <p class="placeholder-grey">{{ $t('language') }}</p>
+ <p v-if="selectedLanguages.length > 0" class="ml-1 lg:ml-3 green-background">{{ selectedLanguages.length }}</p>
+ <icon class="ml-auto arrow-icon cursor-pointer" :icon="icon" />
+ </button>
+ <LanguagesModal v-if="modal === 'language'" @languagesModalEmit="languagesModalLanguagesEmit($event)"/>
+ <div v-if="modal === 'language'" class="backdrop" @click="handleOutsideModal()"></div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import LanguagesModal from './LanguagesModal'
+
+export default {
+ components: {
+ LanguagesModal,
+ },
+
+ computed: {
+ ...mapState({
+ selectedLanguages: (state) => state.selectedLanguages,
+ modal: (state) => state.modal,
+ }),
+
+ icon() {
+ return this.modal === 'language' ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal === 'language' ? 'true' : 'false'
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+
+ handleModal() {
+ this.modal !== 'language' ? this.changeModal('language') : this.changeModal('')
+ },
+
+ languagesModalLanguagesEmit() {
+ this.$emit('languagesEmit')
+ },
+
+ handleOutsideModal() {
+ this.handleModal()
+ this.languagesModalLanguagesEmit()
+ }
+ }
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Languages/LanguagesModal.vue b/oeaplatform/frontend/client/components/Filters/Languages/LanguagesModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..c12cf69e152f3a8993c1d4f1fb87f428fd18d277
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Languages/LanguagesModal.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="lg:dropdown-animation remove-focus box flex flex-col items-center justify-start rounded border bg-white py-2 text-center pop-up-width">
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <input aria-autocomplete="list" class="rounded border w-11/12 py-1 px-3 mb-4 mt-2 mx-4 bg-white placeholder-grey" :placeholder="$t('seekLanguage')" @keyup="searchLanguages" />
+ <ul class="languages-wrapper scorllbar">
+ <Language v-for="language in filteredLanguages" :id="language.id" :key="language.id" :name-en="language.name_en" :name-de="language.name_de" />
+ </ul>
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="handleReset()" @keyup.enter="handleReset()">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="handleSearch()" @keyup.enter="handleSearch()">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import Language from './Language'
+
+export default {
+ components: { Language },
+
+ computed: {
+ ...mapState({
+ languages: (state) => state.languages,
+ filteredLanguages: (state) => state.filteredLanguages,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeFilteredLanguages: 'changeFilteredLanguages',
+ changeSelectedLanguages: 'changeSelectedLanguages',
+ changeModal: 'changeModal',
+ }),
+
+ searchLanguages(event) {
+ const filteredLanguages = this.languages.filter((language) => {
+ if (this.$nuxt.$route.name === 'index___en') return language.name_en.toLowerCase().includes(event.target.value.toLowerCase())
+ else return language.name_de.toLowerCase().includes(event.target.value.toLowerCase())
+ })
+ this.changeFilteredLanguages(filteredLanguages)
+ },
+
+ handleReset() {
+ this.changeSelectedLanguages([])
+ this.$emit('languagesModalEmit')
+ },
+
+ handleSearch() {
+ this.changeModal('')
+ this.$emit('languagesModalEmit')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRT.vue b/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRT.vue
new file mode 100644
index 0000000000000000000000000000000000000000..4e0c2e078eabf1f8db25c9f7d929a872dff0eed4
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRT.vue
@@ -0,0 +1,67 @@
+<template>
+ <li class="w-full flex border-b bg-white text-left mb-2 pb-2 cursor-pointer">
+ <div tabindex="0" role="checkbox" :aria-checked="isSelected ? 'true' : 'false'" class="w-full flex pl-4 items-center" @click="select" @keyup.enter="select">
+ <div :class="['w-full', 'order-first', 'main-grey', 'bold', isSelected && 'bold-active']">{{ $nuxt.$route.name === 'index___en' ? nameEn : nameDe }}</div>
+ <div class="order-last"><img v-if="isSelected" src="~/static/icon-check-green.svg" alt="check" class="mr-5" /></div>
+ </div>
+ </li>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+export default {
+ props: {
+ id: {
+ type: String,
+ default: '',
+ },
+ nameEn: {
+ type: String,
+ default: '',
+ },
+ nameDe: {
+ type: String,
+ default: '',
+ },
+ },
+
+ computed: {
+ ...mapState({
+ selectedLearningRTs: (state) => state.selectedLearningRTs,
+ }),
+ isSelected() {
+ return this.selectedLearningRTs.some((element) => element.id === this.id)
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedLearningRTs: 'changeSelectedLearningRTs',
+ }),
+ searchLearningRTs(event) {
+ this.changeFilteredLearningRTs(
+ this.learningRTs.filter((learningRT) => {
+ return learningRT.name_en.toLowerCase().includes(event.target.value.toLowerCase())
+ })
+ )
+ },
+ select() {
+ const selectedLearningRTs = [...this.selectedLearningRTs]
+ // Checks to see if array is empty, if it is then pushes the selected learningRT
+ // if not, checks if selected learningRT already exists in the array, if it does then
+ // it removes it
+ if (selectedLearningRTs.length > 0) {
+ const findIndex = selectedLearningRTs.findIndex((el) => el.id === this.id)
+ // -1 is returned if selected learningRT is not in the array
+ if (findIndex === -1) this.changeSelectedLearningRTs([...selectedLearningRTs, { id: this.id, nameEn: this.nameEn, nameDe: this.nameDe }])
+ else {
+ const filteredLearningRTs = selectedLearningRTs.filter((el) => el.id !== this.id)
+ this.changeSelectedLearningRTs(filteredLearningRTs)
+ }
+ } else {
+ this.changeSelectedLearningRTs([{ id: this.id, nameEn: this.nameEn, nameDe: this.nameDe }])
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRTs.vue b/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRTs.vue
new file mode 100644
index 0000000000000000000000000000000000000000..cf712182325893ca0b8c1951f67565340fcc1e47
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRTs.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="flex flex-col justify-start items-start w-full relative">
+ <button type="button" :aria-expanded="ariaExpanded" class="green-border flex w-32 lg:w-40 disciplines bg-white items-center second-black" @click="handleModal">
+ <p class="placeholder-grey">{{ $t('learningRT') }}</p>
+ <p v-if="selectedLearningRTs.length > 0" class="ml-1 lg:ml-3 green-background">{{ selectedLearningRTs.length }}</p>
+ <icon class="ml-auto arrow-icon cursor-pointer" :icon="icon" />
+ </button>
+ <LearningRTsModal v-if="modal === 'learningrt'" @learningRTsModalEmit="learningRTsModalLearningRTsEmit($event)"/>
+ <div v-if="modal === 'learningrt'" class="backdrop" @click="handleOutsideModal()"></div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import LearningRTsModal from './LearningRTsModal'
+
+export default {
+ components: {
+ LearningRTsModal,
+ },
+
+ computed: {
+ ...mapState({
+ selectedLearningRTs: (state) => state.selectedLearningRTs,
+ modal: (state) => state.modal,
+ }),
+
+ icon() {
+ return this.modal === 'learningrt' ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal === 'learningrt' ? 'true' : 'false'
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+
+ handleModal() {
+ this.modal !== 'learningrt' ? this.changeModal('learningrt') : this.changeModal('')
+ },
+
+ learningRTsModalLearningRTsEmit() {
+ this.$emit('learningRTsEmit')
+ },
+
+ handleOutsideModal() {
+ this.handleModal()
+ this.learningRTsModalLearningRTsEmit()
+ }
+ }
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRTsModal.vue b/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRTsModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..5b941c9c277ac793eafa58c43d2421da36435083
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/LearningRTs/LearningRTsModal.vue
@@ -0,0 +1,57 @@
+<template>
+ <div class="lg:dropdown-animation remove-focus box flex flex-col items-center justify-start rounded border bg-white py-2 text-center pop-up-width">
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <input aria-autocomplete="list" class="rounded border w-11/12 py-1 px-3 mb-4 mt-2 mx-4 bg-white placeholder-grey" :placeholder="$t('seekLearningRT')" @keyup="searchLearningRTs" />
+ <ul class="learningrts-wrapper scorllbar">
+ <LearningRT v-for="learningRT in filteredLearningRTs" :id="learningRT.id" :key="learningRT.id" :name-en="learningRT.name_en" :name-de="learningRT.name_de" />
+ </ul>
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="handleReset()" @keyup.enter="handleReset()">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="handleSearch()" @keyup.enter="handleSearch()">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import LearningRT from './LearningRT'
+
+export default {
+ components: { LearningRT },
+
+ computed: {
+ ...mapState({
+ learningRTs: (state) => state.learningRTs,
+ filteredLearningRTs: (state) => state.filteredLearningRTs,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeFilteredLearningRTs: 'changeFilteredLearningRTs',
+ changeSelectedLearningRTs: 'changeSelectedLearningRTs',
+ fetchResults: 'fetchResults',
+ changeModal: 'changeModal',
+ }),
+
+ searchLearningRTs(event) {
+ const filteredLearningRTs = this.learningRTs.filter((learningRT) => {
+ if (this.$nuxt.$route.name === 'index___en') return learningRT.name_en.toLowerCase().includes(event.target.value.toLowerCase())
+ else return learningRT.name_de.toLowerCase().includes(event.target.value.toLowerCase())
+ })
+ this.changeFilteredLearningRTs(filteredLearningRTs)
+ },
+
+ handleReset() {
+ this.changeSelectedLearningRTs([])
+ this.$emit('learningRTsModalEmit')
+ },
+
+ handleSearch() {
+ this.changeModal('')
+ this.$emit('learningRTsModalEmit')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Licences/Licence.vue b/oeaplatform/frontend/client/components/Filters/Licences/Licence.vue
new file mode 100644
index 0000000000000000000000000000000000000000..e0b90c536a9cdec4d4f8403d2ae1ac7b8ba9d8e1
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Licences/Licence.vue
@@ -0,0 +1,54 @@
+<template>
+ <li class="w-full flex border-b bg-white text-left mb-2 pb-2 cursor-pointer">
+ <div tabindex="0" role="checkbox" :aria-checked="isSelected ? 'true' : 'false'" class="w-full flex pl-4 items-center" @click="select" @keyup.enter="select">
+ <div :class="['w-full', 'order-first', 'main-grey', 'bold', isSelected && 'bold-active']">{{ name }}</div>
+ <div class="order-last"><img v-if="isSelected" src="~/static/icon-check-green.svg" alt="check" class="mr-5" /></div>
+ </div>
+ </li>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+export default {
+ props: {
+ name: {
+ type: String,
+ default: '',
+ },
+ },
+
+ computed: {
+ ...mapState({
+ selectedLicences: (state) => state.selectedLicences,
+ }),
+
+ isSelected() {
+ return this.selectedLicences.some((element) => element === this.name)
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedLicences: 'changeSelectedLicences',
+ }),
+
+ select() {
+ const selectedLicences = [...this.selectedLicences]
+ // Checks to see if array is empty, if it is then pushes the selected licence
+ // if not, checks if selected licence already exists in the array, if it does then
+ // it removes it
+ if (selectedLicences.length > 0) {
+ const findIndex = selectedLicences.findIndex((el) => el === this.name)
+ // -1 is returned if selected licence is not in the array
+ if (findIndex === -1) this.changeSelectedLicences([...selectedLicences, this.name])
+ else {
+ const filteredLicences = selectedLicences.filter((el) => el !== this.name)
+ this.changeSelectedLicences(filteredLicences)
+ }
+ } else {
+ this.changeSelectedLicences([this.name])
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Licences/Licences.vue b/oeaplatform/frontend/client/components/Filters/Licences/Licences.vue
new file mode 100644
index 0000000000000000000000000000000000000000..58ee895cc402a1896a2c832ab7f1217f3c59cc1c
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Licences/Licences.vue
@@ -0,0 +1,55 @@
+<template>
+ <div class="flex flex-col justify-start items-start w-full relative">
+ <button type="button" :aria-expanded="ariaExpanded" class="green-border flex w-32 lg:w-40 disciplines bg-white items-center second-black" @click="handleModal">
+ <p class="placeholder-grey">{{ $t('licence') }}</p>
+ <p v-if="selectedLicences.length > 0" class="ml-3 green-background">{{ selectedLicences.length }}</p>
+ <icon class="ml-auto arrow-icon cursor-pointer" :icon="icon" />
+ </button>
+ <LicencesModal v-if="modal === 'licence'" @licencesModalEmit="licencesModalLicencesEmit($event)"/>
+ <div v-if="modal === 'licence'" class="backdrop" @click="handleOutsideModal()"></div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import LicencesModal from './LicencesModal'
+
+export default {
+ components: {
+ LicencesModal,
+ },
+
+ computed: {
+ ...mapState({
+ selectedLicences: (state) => state.selectedLicences,
+ modal: (state) => state.modal,
+ }),
+
+ icon() {
+ return this.modal === 'licence' ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal === 'licence' ? 'true' : 'false'
+ },
+ },
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+
+ handleModal() {
+ this.modal !== 'licence' ? this.changeModal('licence') : this.changeModal('')
+ },
+
+ licencesModalLicencesEmit() {
+ this.$emit('licencesEmit')
+ },
+
+ handleOutsideModal() {
+ this.handleModal()
+ this.licencesModalLicencesEmit()
+ }
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Licences/LicencesModal.vue b/oeaplatform/frontend/client/components/Filters/Licences/LicencesModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..f80b7ee572069e88966ff677c53cac60e06ff0b7
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Licences/LicencesModal.vue
@@ -0,0 +1,47 @@
+<template>
+ <div class="dropdown-animation remove-focus box flex flex-col items-center justify-start rounded border bg-white py-2 text-center absolute mt-12 pop-up-width">
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <ul class="disciplines-wrapper scorllbar">
+ <Licence v-for="(licence, index) in licences" :key="index" :name="licence" />
+ </ul>
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="handleReset()" @keyup.enter="handleReset()">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="handleSearch()" @keyup.enter="handleSearch()">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import Licence from './Licence'
+
+export default {
+ components: {
+ Licence,
+ },
+
+ computed: {
+ ...mapState({
+ licences: (state) => state.licences,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedLicences: 'changeSelectedLicences',
+ changeModal: 'changeModal',
+ }),
+
+ handleReset() {
+ this.changeSelectedLicences([])
+ this.$emit('licencesModalEmit')
+ },
+
+ handleSearch() {
+ this.changeModal('')
+ this.$emit('licencesModalEmit')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/MediaType/MediaType.vue b/oeaplatform/frontend/client/components/Filters/MediaType/MediaType.vue
new file mode 100644
index 0000000000000000000000000000000000000000..9c049495cb44ee18740c713213dba1582630b85c
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/MediaType/MediaType.vue
@@ -0,0 +1,55 @@
+<template>
+ <li class="w-full flex border-b bg-white text-left mb-2 pb-2 cursor-pointer">
+ <div tabindex="0" role="checkbox" :aria-checked="isSelected ? 'true' : 'false'" class="w-full flex pl-4 items-center" @click="select" @keyup.enter="select">
+ <div :class="['w-full', 'order-first', 'main-grey', 'bold', isSelected && 'bold-active']">{{ name }}</div>
+ <div class="order-last"><img v-if="isSelected" src="~/static/icon-check-green.svg" alt="check" class="mr-5" /></div>
+ </div>
+ </li>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+export default {
+ props: {
+ name: {
+ type: String,
+ default: '',
+ },
+ },
+
+ computed: {
+ ...mapState({
+ selectedMediaTypes: (state) => state.selectedMediaTypes,
+ }),
+
+ isSelected() {
+ return this.selectedMediaTypes.some((element) => element === this.name)
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedMediaTypes: 'changeSelectedMediaTypes',
+ }),
+
+ select() {
+ const selectedMediaTypes = [...this.selectedMediaTypes]
+
+ // Checks to see if array is empty, if it is then pushes the selected media type
+ // if not, checks if selected media type already exists in the array, if it does then
+ // it removes it
+ if (selectedMediaTypes.length > 0) {
+ const findIndex = selectedMediaTypes.findIndex((el) => el === this.name)
+ // -1 is returned if selected media type is not in the array
+ if (findIndex === -1) this.changeSelectedMediaTypes([...selectedMediaTypes, this.name])
+ else {
+ const filteredMediaTypes = selectedMediaTypes.filter((el) => el !== this.name)
+ this.changeSelectedMediaTypes(filteredMediaTypes)
+ }
+ } else {
+ this.changeSelectedMediaTypes([this.name])
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/MediaType/MediaTypeModal.vue b/oeaplatform/frontend/client/components/Filters/MediaType/MediaTypeModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..3f1ea009e17224c401ee533ad0bbde875942d81f
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/MediaType/MediaTypeModal.vue
@@ -0,0 +1,47 @@
+<template>
+ <div class="dropdown-animation remove-focus box flex flex-col items-center justify-start rounded border bg-white py-2 text-center absolute mt-12 pop-up-width">
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <ul class="disciplines-wrapper scorllbar">
+ <MediaType v-for="(mediaType, index) in mediaTypes" :key="index" :name="mediaType" />
+ </ul>
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="handleReset()" @keyup.enter="handleReset()">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="handleSearch()" @keyup.enter="handleSearch()">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import MediaType from './MediaType'
+
+export default {
+ components: {
+ MediaType,
+ },
+
+ computed: {
+ ...mapState({
+ mediaTypes: (state) => state.mediaTypes,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedMediaTypes: 'changeSelectedMediaTypes',
+ changeModal: 'changeModal',
+ }),
+
+ handleReset() {
+ this.changeSelectedMediaTypes([])
+ this.$emit('mediaTypeModalEmit')
+ },
+
+ handleSearch() {
+ this.changeModal('')
+ this.$emit('mediaTypeModalEmit')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/MediaType/MediaTypes.vue b/oeaplatform/frontend/client/components/Filters/MediaType/MediaTypes.vue
new file mode 100644
index 0000000000000000000000000000000000000000..c11e02da24f579dd869d9a11aa0b3f95cdf7fcf8
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/MediaType/MediaTypes.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="flex flex-col justify-start items-start w-full relative">
+ <button type="button" :aria-expanded="ariaExpanded" class="green-border flex w-32 lg:w-40 disciplines bg-white items-center second-black" @click="handleModal">
+ <p class="placeholder-grey">{{ $t('mediaType') }}</p>
+ <p v-if="selectedMediaTypes.length > 0" class="ml-3 green-background">{{ selectedMediaTypes.length }}</p>
+ <icon class="ml-auto arrow-icon cursor-pointer" :icon="icon" />
+ </button>
+ <MediaTypeModal v-if="modal === 'mediaType'" @mediaTypeModalEmit="mediaTypeModalMediaTypesEmit($event)"/>
+ <div v-if="modal === 'mediaType'" class="backdrop" @click="handleOutsideModal()"></div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import MediaTypeModal from './MediaTypeModal'
+
+export default {
+ components: {
+ MediaTypeModal,
+ },
+
+ computed: {
+ ...mapState({
+ selectedMediaTypes: (state) => state.selectedMediaTypes,
+ modal: (state) => state.modal,
+ }),
+
+ icon() {
+ return this.modal === 'mediaType' ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal === 'mediaType' ? 'true' : 'false'
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+
+ handleModal() {
+ this.modal !== 'mediaType' ? this.changeModal('mediaType') : this.changeModal('')
+ },
+
+ mediaTypeModalMediaTypesEmit() {
+ this.$emit('mediaTypesEmit')
+ },
+
+ handleOutsideModal() {
+ this.handleModal()
+ this.mediaTypeModalMediaTypesEmit()
+ }
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Sources/Source.vue b/oeaplatform/frontend/client/components/Filters/Sources/Source.vue
new file mode 100644
index 0000000000000000000000000000000000000000..9df7c946c1ee310e033ab6c74854ca7193884957
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Sources/Source.vue
@@ -0,0 +1,55 @@
+<template>
+ <li class="w-full flex border-b bg-white text-left mb-2 pb-2 cursor-pointer">
+ <div tabindex="0" role="checkbox" :aria-checked="isSelected ? 'true' : 'false'" class="w-full flex pl-4 items-center" @click="select" @keyup.enter="select">
+ <div :class="['w-full', 'order-first', 'main-grey', 'bold', isSelected && 'bold-active']">{{ name}}</div>
+ <div class="order-last"><img v-if="isSelected" src="~/static/icon-check-green.svg" alt="check" class="mr-5" /></div>
+ </div>
+ </li>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+export default {
+ props: {
+ name: {
+ type: String,
+ default: '',
+ },
+ },
+
+ computed: {
+ ...mapState({
+ selectedSources: (state) => state.selectedSources,
+ }),
+
+ isSelected() {
+ return this.selectedSources.some((element) => element === this.name)
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedSources: 'changeSelectedSources',
+ }),
+
+ select() {
+ const selectedSources = [...this.selectedSources]
+
+ // Checks to see if array is empty, if it is then pushes the selected source
+ // if not, checks if selected source already exists in the array, if it does then
+ // it removes it
+ if (selectedSources.length > 0) {
+ const findIndex = selectedSources.findIndex((el) => el === this.name)
+ // -1 is returned if selected source is not in the array
+ if (findIndex === -1) this.changeSelectedSources([...selectedSources, this.name])
+ else {
+ const filteredSources = selectedSources.filter((el) => el !== this.name)
+ this.changeSelectedSources(filteredSources)
+ }
+ } else {
+ this.changeSelectedSources([this.name])
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Sources/Sources.vue b/oeaplatform/frontend/client/components/Filters/Sources/Sources.vue
new file mode 100644
index 0000000000000000000000000000000000000000..8893d98f818fcb27cc79243f7df882b8c48fe042
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Sources/Sources.vue
@@ -0,0 +1,56 @@
+<template>
+ <div class="flex flex-col justify-start items-start w-full relative">
+ <button type="button" :aria-expanded="ariaExpanded" class="green-border flex w-32 lg:w-40 disciplines bg-white items-center second-black" @click="handleModal">
+ <p class="placeholder-grey">{{ $t('source') }}</p>
+ <p v-if="selectedSources.length > 0" class="ml-3 green-background">{{ selectedSources.length }}</p>
+ <icon class="ml-auto arrow-icon cursor-pointer" :icon="icon" />
+ </button>
+ <SourcesModal v-if="modal === 'source'" @sourcesModalEmit="sourcesModalSourcesEmit($event)"/>
+ <div v-if="modal === 'source'" class="backdrop" @click="handleOutsideModal()"></div>
+ </div>
+</template>
+
+<script>
+import { mapMutations, mapState } from 'vuex'
+import SourcesModal from './SourcesModal'
+
+export default {
+ components: {
+ SourcesModal,
+ },
+
+ computed: {
+ ...mapState({
+ selectedSources: (state) => state.selectedSources,
+ modal: (state) => state.modal,
+ }),
+
+ icon() {
+ return this.modal === 'source' ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal === 'source' ? 'true' : 'false'
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+
+ handleModal() {
+ this.modal !== 'source' ? this.changeModal('source') : this.changeModal('')
+ },
+
+ sourcesModalSourcesEmit() {
+ this.$emit('sourcesEmit')
+ },
+
+ handleOutsideModal() {
+ this.handleModal()
+ this.sourcesModalSourcesEmit()
+ }
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Filters/Sources/SourcesModal.vue b/oeaplatform/frontend/client/components/Filters/Sources/SourcesModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..7ef446db8c522016bf4e04b3f52c36c02050b519
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Filters/Sources/SourcesModal.vue
@@ -0,0 +1,46 @@
+<template>
+ <div class="dropdown-animation remove-focus box flex flex-col items-center justify-start rounded border bg-white py-2 text-center absolute mt-12 pop-up-width">
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <ul class="disciplines-wrapper scorllbar">
+ <Source v-for="(source, index) in sources" :key="index" :name="source" />
+ </ul>
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="handleReset()" @keyup.enter="handleReset()">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="handleSearch()" @keyup.enter="handleSearch()">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import Source from './Source'
+
+export default {
+ components: {
+ Source,
+ },
+ computed: {
+ ...mapState({
+ sources: (state) => state.sources,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSelectedSources: 'changeSelectedSources',
+ changeModal: 'changeModal',
+ }),
+
+ handleReset() {
+ this.changeSelectedSources([])
+ this.$emit('sourcesModalEmit')
+ },
+
+ handleSearch() {
+ this.changeModal('')
+ this.$emit('sourcesModalEmit')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Layout/Footer.vue b/oeaplatform/frontend/client/components/Layout/Footer.vue
new file mode 100644
index 0000000000000000000000000000000000000000..c7cf85a28223e6dc8530d6d13866fb307cba7350
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Layout/Footer.vue
@@ -0,0 +1,40 @@
+<template>
+ <div class="mt-6">
+ <div class="w-screen second-grey flex justify-center footer-navgiation text-center">
+ <ul class="lg:max-w-7xl flex justify-center items-center flex-col lg:flex-row font-18">
+ <li class="h-6 mb-4 lg:mb-0 line-footer"><NuxtLink :to="localePath('/')">{{ $t('home') }}</NuxtLink></li>
+ <li class="h-6 mb-4 lg:mb-0 line-footer"><NuxtLink :to="localePath('/about')">{{ $t('about') }}</NuxtLink></li>
+ <li class="h-6 mb-4 lg:mb-0 line-footer"><NuxtLink :to="localePath('/faq')">{{ $t('faq') }}</NuxtLink></li>
+ <li class="h-6 mb-4 lg:mb-0 line-footer"><NuxtLink :to="localePath('/imprint')">{{ $t('imprint') }}</NuxtLink></li>
+ <li class="h-6 mb-4 lg:mb-0 line-footer"><NuxtLink :to="localePath('/accessibility')">{{ $t('accessibility') }}</NuxtLink></li>
+ <li class="h-6 mb-4 lg:mb-0 line-footer"><NuxtLink :to="localePath('/contact')">{{ $t('contact') }}</NuxtLink></li>
+ <!-- <li class="h-6 mb-4 lg:mb-0 line-footer"><a href="https://www.example.at/datenschutzerklaerung" target="_blank"><icon class="mr-2" icon="external-link-alt" />{{ $t('dataProtection') }}</a></li> -->
+ <!-- <li class="h-6 mb-4 lg:mb-0"><a href="https://www.openeducation.at/" target="_blank"><icon class="mr-2" icon="external-link-alt" />{{ $t('project') }}</a></li> -->
+ <!-- <li class="h-6 mb-4 lg:mb-0 line-footer"><NuxtLink :to="localePath('/disclaimer')">{{ $t('disclaimer') }}</NuxtLink></li> -->
+ </ul>
+ </div>
+
+ <div class="w-screen flex justify-center pt-12 pb-12 logos-padding">
+ <div class="lg:max-w-7xl w-full flex flex-col justify-start items-start pl-2 lg:pl-2 lg:pr-2">
+ <div class="flex w-full flex-col lg:flex-row">
+ <div>
+ <p class="main-grey mb-4 light font-12">{{ $t('partner') }}</p>
+ <div class="flex flex-wrap">
+ <a href="https://www.partner-example.at/" target="_blank">
+ <img src="~/static/logo-partner.svg" class="logo-spacing mb-6" alt="Fnma" />
+ </a>
+ </div>
+ </div>
+ <div class="lg:ml-auto flex flex-col">
+ <p class="main-grey mb-4 light font-12">{{ $t('sponsor') }}</p>
+ <div>
+ <a href="https://www.sponsor-example.at/" target="_blank">
+ <img src="~/static/logo_sponsor.svg" class="mr-10 mb-6" alt="Bmbwf" />
+ </a>
+ </div>
+ </div>
+ </div>
+ </div>
+ </div>
+ </div>
+</template>
diff --git a/oeaplatform/frontend/client/components/Layout/Navbar.vue b/oeaplatform/frontend/client/components/Layout/Navbar.vue
new file mode 100644
index 0000000000000000000000000000000000000000..128c8fd48f3e6756e96a92f4136284e2c93de522
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Layout/Navbar.vue
@@ -0,0 +1,93 @@
+<template>
+ <nav :class="[
+ 'text-base',
+ 'flex',
+ 'items-center',
+ 'flex-col-reverse',
+ 'lg:flex-row',
+ 'justify-start',
+ 'w-full',
+ 'lg:mt-6',
+ isBorder ? 'lg:mb-8' : '',
+ 'lg:border-b-4',
+ 'pb-6',
+ 'border-gray-100',
+ 'navbar',
+ ]">
+ <NuxtLink :to="localePath('/')">
+ <div class="lg:ml-12">
+ <img src="~/static/Logo-example-white.svg" class="Logo" alt="Open Education Austria Logo" />
+ </div>
+ </NuxtLink>
+
+ <div class="flex lg:mt-1 main-grey justify-end w-full border-b border-white-500 lg:border-none p-3 pr-0 mb-4">
+ <div class="flex mr-auto lg:mr-0">
+ <!-- <NuxtLink to="/"> -->
+ <NuxtLink :to="switchLocalePath('de')">
+ <p v-if="language === 'de'" class="ml-auto active-language">DE<span class="sr-only">deutsch sprachig</span></p>
+ <p v-else class="ml-auto inactive-language">DE</p>
+ </NuxtLink>
+ <p class="ml-auto line"></p>
+ <!-- <NuxtLink to="/en"> -->
+ <NuxtLink :to="switchLocalePath('en')">
+ <p v-if="language === 'en'" class="ml-auto active-language">EN<span class="sr-only" lang="en">english</span></p>
+ <p v-else class="ml-auto h-6 inactive-language">EN</p>
+ </NuxtLink>
+ </div>
+
+ <div class="flex lg:w-1/4 mr-4 lg:mr-0" id="announce-favorites" aria-live="polite">
+ <NuxtLink :to="localePath('/favorites')"
+ class="flex items-center justify-center h-6 cursor-pointer navfav lg:ml-10 ml-auto mr-2 lg:mr-12">
+ <icon class="mr-2" :icon="['far', 'star']" @click="addToFavorites(id)" />
+ <p>
+ {{ $t('favorites') }} <span class="ml-1">({{ favorites.length }})</span>
+ </p>
+ </NuxtLink>
+ </div>
+
+ </div>
+ </nav>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+
+export default {
+ data() {
+ return {
+ language: 'de',
+ }
+ },
+ computed: {
+ ...mapState({
+ favorites: (state) => state.favorites,
+ }),
+
+ isBorder() {
+ const route = this.$nuxt.$route.name || ''
+ if (route.startsWith('document') || route.startsWith('author')) return true
+ else return false
+ },
+ },
+
+ updated() {
+ this.activeLanguage()
+ },
+
+ mounted() {
+ this.fetchFavorites()
+ this.activeLanguage()
+ },
+
+ methods: {
+ ...mapMutations({
+ fetchFavorites: 'fetchFavorites',
+ }),
+
+ activeLanguage() {
+ const route = this.$nuxt.$route.name
+ route.endsWith('en') ? (this.language = 'en') : (this.language = 'de')
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/LicenceTooltip.vue b/oeaplatform/frontend/client/components/LicenceTooltip.vue
new file mode 100644
index 0000000000000000000000000000000000000000..7ed68afe1a2cf05aaae109593d30300c0a09f181
--- /dev/null
+++ b/oeaplatform/frontend/client/components/LicenceTooltip.vue
@@ -0,0 +1,17 @@
+<template>
+ <div class="boxz">
+ <div class="arrowz1"></div>
+ <p>{{ $t('descriptionLicence') }} <a class="green-one" href="https://creativecommons.org/licenses/">[...]</a></p>
+ </div>
+</template>
+
+<script>
+export default {
+ props: {
+ text: {
+ type: String,
+ default: '',
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Modal.vue b/oeaplatform/frontend/client/components/Modal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..51b7794a520fc97d96b52ece90ef93157ec7ee59
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Modal.vue
@@ -0,0 +1,35 @@
+<template>
+ <transition name="modal">
+ <div class="modal-mask">
+ <div class="modal-wrapper">
+ <div class="modal-container">
+ <div class="w-full green-one flex justify-end text-2xl"><icon icon="times" class="ml-auto cursor-pointer" @click="$emit('close')" /></div>
+ <p class="text-2xl mr-auto mx-10 mb-4">{{ $t('report') }}</p>
+ <div class="px-10 w-full">
+ <textarea class="textarea w-full" :placeholder="$t('reportExplanation')" />
+ </div>
+ <div class="flex">
+ <button class="back-button mr-4">{{ $t('cancel') }}</button>
+ <button class="filled-button">{{ $t('send') }}</button>
+ </div>
+ </div>
+ </div>
+ </div>
+ </transition>
+</template>
+
+<script>
+export default {
+ data() {
+ return {
+ modal: true,
+ }
+ },
+
+ methods: {
+ handleModal(state) {
+ this.modal = state
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/NumberItems.vue b/oeaplatform/frontend/client/components/NumberItems.vue
new file mode 100644
index 0000000000000000000000000000000000000000..b8833e06283ce39dc67d2aa87b4fdbb3f055605f
--- /dev/null
+++ b/oeaplatform/frontend/client/components/NumberItems.vue
@@ -0,0 +1,33 @@
+<template>
+ <span id="headernumberitems" aria-live="polite" class="text-xs lg:text-base text-center break-normal main-black">{{ $t('itemFrom') }} {{ startItem }} {{ $t('itemTo') }} {{ endItem }}</span>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+
+export default {
+
+computed: {
+ ...mapState({
+ numOfPages: (state) => state.numOfPages,
+ currentPage: (state) => state.currentPage,
+ startItem: (state) => state.startItem,
+ endItem: (state) => state.endItem,
+ formatedPages: (state) => state.formatedPages,
+
+ }),
+ },
+
+ mounted() {
+ this.formatPages()
+ },
+
+ methods: {
+ ...mapMutations({
+ changeStartItem: 'changeStartItem',
+ changeEndItem: 'changeEndItem',
+ formatPages: 'formatPages',
+ }),
+ },
+}
+</script>
\ No newline at end of file
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiButtonBack.vue b/oeaplatform/frontend/client/components/Pagination/zuiButtonBack.vue
new file mode 100644
index 0000000000000000000000000000000000000000..c46cfd7dd7486b78d987c3fa0d0e1c2fdd982714
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiButtonBack.vue
@@ -0,0 +1,27 @@
+<template>
+ <li tabindex="0" class="ml-auto flex border border-gray-200" @click="changePage" @keyup.enter="changePage">
+ <div :class="['flex', 'py-2', 'px-4', 'items-center', currentPage === 0 ? 'main-grey' : 'cursor-pointer']">
+ <icon :class="[ currentPage === 0 ? 'main-grey' : 'green-one']" icon="chevron-left" />
+ <p :class="['text-xs', 'lg:text-base', 'hidden', 'md:block', 'ml-2', currentPage === 0 ? 'main-grey' : 'cursor-pointer green-one']">{{ $t('back') }}</p>
+ </div>
+ </li>
+</template>
+
+<script>
+export default {
+ props: {
+ currentPage: {
+ type: Number | String
+ }
+ },
+
+ methods: {
+ changePage() {
+ if (this.currentPage > 0) {
+ // console.log('components/Pagination/zuiPageBtn > changePage - emit currentPage: ' + this.currentPage)
+ this.$emit('changePage', this.currentPage - 1)
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiButtonContinue.vue b/oeaplatform/frontend/client/components/Pagination/zuiButtonContinue.vue
new file mode 100644
index 0000000000000000000000000000000000000000..a700c4e5f27053fa943180532b8187bde2f1f6c6
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiButtonContinue.vue
@@ -0,0 +1,32 @@
+c<template>
+ <li tabindex="0"
+ :class="['flex', 'items-center', 'py-2', 'px-4', 'border ', 'border-gray-200', currentPage + 1 === numOfPages ? 'main-grey' : 'cursor-pointer green-one']"
+ @click="changePage" @keyup.enter="changePage"
+ >
+ <p :class="['text-xs', 'lg:text-base', 'hidden', 'md:block', 'mr-2', currentPage === numOfPages - 1 ? 'main-grey' : 'green-one']">{{ $t('continue') }}</p>
+ <icon :class="[ currentPage === numOfPages - 1 ? 'main-grey' : 'green-one']" icon="chevron-right"/>
+ </li>
+</template>
+
+<script>
+
+export default {
+ props: {
+ currentPage: {
+ type: Number | String
+ },
+ numOfPages: {
+ type: Number
+ }
+ },
+
+ methods: {
+ changePage() {
+ if (this.currentPage + 1 < this.numOfPages) {
+ // console.log('components/Pagination/zuiPageBtn > changePage - emit currentPage: ' + this.currentPage)
+ this.$emit('changePage', this.currentPage + 1)
+ }
+ },
+ }
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiButtonJumpBottom.vue b/oeaplatform/frontend/client/components/Pagination/zuiButtonJumpBottom.vue
new file mode 100644
index 0000000000000000000000000000000000000000..f71c369c72264c6eb00e3a927e886c1791d0b3ba
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiButtonJumpBottom.vue
@@ -0,0 +1,9 @@
+<template>
+ <div class="flex items-center border border-gray-200 rounded cursor-pointer green-one">
+ <a class="text-xs lg:text-base px-2 py-2 border page-size-border" href="#paginationbottom"><icon class="mr-2" icon="caret-down" />{{ $t('btnJumpBottom') }}</a>
+ </div>
+</template>
+
+<script>
+
+</script>
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiButtonJumpTop.vue b/oeaplatform/frontend/client/components/Pagination/zuiButtonJumpTop.vue
new file mode 100644
index 0000000000000000000000000000000000000000..60a5c362302bcae8efd49af3e09bf5ecbf5bd5f1
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiButtonJumpTop.vue
@@ -0,0 +1,9 @@
+<template>
+ <div class="flex items-center border border-gray-200 rounded cursor-pointer green-one">
+ <a class="text-xs lg:text-base px-2 py-2 border page-size-border" href="#paginationtop"><icon class="mr-2" icon="caret-up" />{{ $t('btnJumpTop') }}</a>
+ </div>
+</template>
+
+<script>
+
+</script>
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiNumberItems.vue b/oeaplatform/frontend/client/components/Pagination/zuiNumberItems.vue
new file mode 100644
index 0000000000000000000000000000000000000000..abff4da403eda57bbb7cc450811bd3409e014b54
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiNumberItems.vue
@@ -0,0 +1,29 @@
+<template>
+ <span id="headernumberitems" aria-live="polite" class="text-xs lg:text-base text-center break-normal main-black">{{
+ $t('itemFrom') }} {{ calcStartItem() }} {{ $t('itemTo') }} {{ calcEndItem() }}</span>
+</template>
+
+<script>
+
+export default {
+ props: [
+ 'numOfResults',
+ 'currentPage',
+ 'currentSize',
+ ],
+ methods: {
+ calcStartItem() {
+ return (this.currentPage * this.currentSize) + 1
+ },
+
+ calcEndItem() {
+ const startItem = this.calcStartItem()
+ if (this.numOfResults < startItem + this.currentSize ) {
+ return this.numOfResults
+ } else {
+ return startItem + this.currentSize - 1
+ }
+ }
+ }
+}
+</script>
\ No newline at end of file
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiPageBtn.vue b/oeaplatform/frontend/client/components/Pagination/zuiPageBtn.vue
new file mode 100644
index 0000000000000000000000000000000000000000..70930ab7d7ffaf92f52611fefbe34b52cd3d2549
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiPageBtn.vue
@@ -0,0 +1,32 @@
+<template>
+ <li tabindex="0"
+ :class="['px-2', 'py-2', 'border', 'font-bold', 'text-xs', 'lg:text-base', 'border-gray-200', currentPage === index - 1 || index === '...' ? 'main-black second-grey' : 'green-one cursor-pointer']"
+ :aria-current="currentPage === index - 1 ? 'page' : 'false'" @click="changePage(index)"
+ @keyup.enter="changePage(index)">
+ {{ index }}
+ </li>
+</template>
+
+<script>
+
+export default {
+ props: {
+ currentPage: {
+ type: Number | String
+ },
+ index: {
+ type: Number | String,
+ default: 1,
+ }
+ },
+
+ methods: {
+ changePage(index) {
+ if (this.currentPage + 1 !== index && index !== '...') {
+ // console.log('components/Pagination/zuiPageBtn > changePage - emit index: ' + index)
+ this.$emit('changePage', index - 1)
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiPageSize.vue b/oeaplatform/frontend/client/components/Pagination/zuiPageSize.vue
new file mode 100644
index 0000000000000000000000000000000000000000..d3276a4ca75af7c59b1bdb236dbf4f39f730047a
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiPageSize.vue
@@ -0,0 +1,30 @@
+<template>
+ <section id="pagesize" aria-label="Auswahl Ergebnisse pro Seite">
+ <ul class="flex border border-gray-200 rounded cursor-pointer" role="listbox">
+ <li tabindex="0" role="option" :class="['text-xs', 'lg:text-base','px-2', 'py-2', 'border', 'font-bold', 'page-size-border', currentSize === 10 ? 'main-black second-grey' : 'green-one']" :aria-selected="currentSize === 10 ? 'true' : 'false'" @click="changeSize(10)" @keyup.enter="changeSize(10)">10</li>
+ <li tabindex="0" role="option" :class="['text-xs', 'lg:text-base','px-2', 'py-2', 'border', 'font-bold', 'page-size-border', currentSize === 25 ? 'main-black second-grey' : 'green-one']" :aria-selected="currentSize === 25 ? 'true' : 'false'" @click="changeSize(25)" @keyup.enter="changeSize(25)">25</li>
+ <li tabindex="0" role="option" :class="['text-xs', 'lg:text-base','hidden', 'md:block', 'px-2', 'py-2', 'border', 'font-bold', 'page-size-border', currentSize === 50 ? 'main-black second-grey' : 'green-one']" :aria-selected="currentSize === 50 ? 'true' : 'false'" @click="changeSize(50)" @keyup.enter="changeSize(50)">50</li>
+ <li tabindex="0" role="option" :class="['text-xs', 'lg:text-base','hidden', 'md:block', 'px-2', 'py-2', 'border', 'font-bold', 'page-size-border', currentSize === 100 ? 'main-black second-grey' : 'green-one']" :aria-selected="currentSize === 100 ? 'true' : 'false'" @click="changeSize(100)" @keyup.enter="changeSize(100)">100</li>
+ </ul>
+ </section>
+</template>
+
+<script>
+
+export default {
+ props: {
+ currentSize: {
+ type: Number | String
+ },
+ },
+
+ methods: {
+ changeSize(size) {
+ if (this.currentSize !== size) {
+ // console.log('components/Pagination/zuiPageSize > changeSize - emit size: ' + size)
+ this.$emit('changeSize', size)
+ }
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiPaginationBottom.vue b/oeaplatform/frontend/client/components/Pagination/zuiPaginationBottom.vue
new file mode 100644
index 0000000000000000000000000000000000000000..abdcab893fc42dcad38a9bab6a08a77a2d5e0f23
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiPaginationBottom.vue
@@ -0,0 +1,54 @@
+<template>
+<section id="paginationbottom" :aria-label="$t('alPaginationBottom')">
+ <div class="w-full mt-4 flex flex-wrap justify-around lg:justify-between items-center px-4">
+ <zuiButtonJumpTop />
+ <zuiPageSize :currentSize="currentSize" @changeSize="changeSize($event)"/>
+ <section id="pageselectbottom" :aria-label="$t('alPageSelectBottom')">
+ <ul class="lg:ml-auto flex border border-gray-200 rounded">
+ <zuiButtonBack :currentPage="currentPage" @changePage="changePage($event)"/>
+ <zuiPageBtn v-for="index in formatedPages" :key="index" :index="index" :currentPage="currentPage" @changePage="changePage($event)"/>
+ <zuiButtonContinue :currentPage="currentPage" @changePage="changePage($event)" :numOfPages="numOfPages"/>
+ </ul>
+ </section>
+ </div>
+</section>
+
+</template>
+
+<script>
+import zuiPageBtn from './zuiPageBtn.vue'
+import zuiPageSize from './zuiPageSize.vue'
+import zuiButtonBack from './zuiButtonBack.vue'
+import zuiButtonContinue from './zuiButtonContinue.vue'
+import zuiButtonJumpTop from './zuiButtonJumpTop.vue'
+
+export default {
+ props: [
+ 'name',
+ 'numOfResults',
+ 'currentPage',
+ 'currentSize',
+ 'formatedPages',
+ 'numOfPages'
+ ],
+ components: {
+ zuiPageBtn,
+ zuiPageSize,
+ zuiButtonBack,
+ zuiButtonContinue,
+ zuiButtonJumpTop
+ },
+
+ methods: {
+ changePage(idx) {
+ // console.log('components/Pagination/zuiPaginationBottom > changePage - idx: ' + idx)
+ this.$emit('currentPageEmit', idx)
+ },
+
+ changeSize(sizex) {
+ // console.log('components/Pagination/zuiPaginationBottom > changeSize - sizex: ' + sizex)
+ this.$emit('currentSizeEmit', sizex)
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Pagination/zuiPaginationTop.vue b/oeaplatform/frontend/client/components/Pagination/zuiPaginationTop.vue
new file mode 100644
index 0000000000000000000000000000000000000000..dda326b7d6865f0c0efe9785d28b923ebf139090
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Pagination/zuiPaginationTop.vue
@@ -0,0 +1,57 @@
+<template>
+ <section id="paginationtop" :aria-label="$t('alPaginationTop')">
+ <div class="w-full mt-4 flex flex-wrap justify-around lg:justify-between items-center px-4 result-border pb-4">
+ <zuiButtonJumpBottom />
+ <zuiNumberItems :numOfResults="numOfResults" :currentPage="currentPage" :currentSize="currentSize"/>
+ <section id="pageselecttop" :aria-label="$t('alPageSelectTop')">
+ <ul class="lg:ml-auto flex border border-gray-200 rounded">
+ <zuiButtonBack :currentPage="currentPage" @changePage="changePage($event)"/>
+ <zuiPageBtn v-for="index in formatedPages" :key="index" :index="index" :currentPage="currentPage" @changePage="changePage($event)"/>
+ <zuiButtonContinue :currentPage="currentPage" @changePage="changePage($event)" :numOfPages="numOfPages"/>
+ </ul>
+ </section>
+ </div>
+ </section>
+
+ </template>
+
+ <script>
+ import zuiPageBtn from './zuiPageBtn.vue'
+ import zuiPageSize from './zuiPageSize.vue'
+ import zuiButtonBack from './zuiButtonBack.vue'
+ import zuiButtonContinue from './zuiButtonContinue.vue'
+ import zuiButtonJumpBottom from './zuiButtonJumpBottom.vue'
+ import zuiNumberItems from './zuiNumberItems.vue'
+
+ export default {
+ props: [
+ 'name',
+ 'numOfResults',
+ 'currentPage',
+ 'currentSize',
+ 'formatedPages',
+ 'numOfPages'
+ ],
+ components: {
+ zuiPageBtn,
+ zuiPageSize,
+ zuiButtonBack,
+ zuiButtonContinue,
+ zuiButtonJumpBottom,
+ zuiNumberItems
+ },
+
+ methods: {
+ changePage(idx) {
+ // console.log('components/Pagination/zuiPaginationBottom > changePage - idx: ' + idx)
+ this.$emit('currentPageEmit', idx)
+ },
+
+ changeSize(sizex) {
+ // console.log('components/Pagination/zuiPaginationBottom > changeSize - sizex: ' + sizex)
+ this.$emit('currentSizeEmit', sizex)
+ },
+ },
+ }
+ </script>
+
\ No newline at end of file
diff --git a/oeaplatform/frontend/client/components/SearchFilter.vue b/oeaplatform/frontend/client/components/SearchFilter.vue
new file mode 100644
index 0000000000000000000000000000000000000000..cc2ac4b5e2e787cbca0d1f27eae3526ec0d218df
--- /dev/null
+++ b/oeaplatform/frontend/client/components/SearchFilter.vue
@@ -0,0 +1,14 @@
+<template>
+ <div class="inline-block">
+ <input :placeholder="title" :class="[color, 'w-32', 'lg:w-48']" />
+ </div>
+</template>
+
+<script>
+export default {
+ props: {
+ title: { type: String, default: '' },
+ color: { type: String, default: '' },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/SearchInfo.vue b/oeaplatform/frontend/client/components/SearchInfo.vue
new file mode 100644
index 0000000000000000000000000000000000000000..6ebeff24eb0fc77f6aa38504ec0f7eb6effb3bca
--- /dev/null
+++ b/oeaplatform/frontend/client/components/SearchInfo.vue
@@ -0,0 +1,61 @@
+<template>
+ <!-- SearchInfo -->
+ <div class="flex justify-center result-border">
+ <div class="w-xl md:w-2xl lg:w-6xl grid grid-rows-1 md:grid-cols-2 justify-items-center m-2">
+ <section id="sectionliveresult" aria-label="Resultate" class="justify-self-start justify-items-center">
+ <h1 class="text-xl word-break main-black">{{ totalResults }} {{ $t('resultsFor') }} „{{ fixedQuery }}“</h1>
+ </section>
+ <div class="justify-self-end justify-items-center">
+ <!-- <div class="flex flex-col md:flex-row lg:ml-auto w-full lg:w-auto items-start lg:justify-center lg:items-center"> -->
+ <!-- usabiltiy: remove print
+ <div class="hidden md:flex green-one lg:text-lg secondary-button cursor-pointer mr-8 items-center h-12" @click="print">
+ <icon icon="print" alt="Print" class="" />
+ <p class="hidden lg:flex ml-2">{{ $t('toPress') }}</p>
+ </div>
+ -->
+ <Sorting @sortingEmit="searchInfoEmit()" />
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState } from 'vuex'
+import Sorting from './Sorting/Sorting'
+export default {
+ components: {
+ Sorting,
+ },
+
+ data() {
+ return {
+ modal: false,
+ }
+ },
+
+ computed: {
+ ...mapState({
+ fixedQuery: (state) => state.fixedQuery,
+ totalResults: (state) => state.totalResults,
+ }),
+
+ icon() {
+ return this.modal ? 'chevron-up' : 'chevron-down'
+ },
+ },
+
+ methods: {
+ print() {
+ window.print()
+ },
+
+ handleModal() {
+ this.modal = !this.modal
+ },
+
+ searchInfoEmit(event) {
+ this.$emit('searchInfoEmit')
+ }
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/SearchResultBox.vue b/oeaplatform/frontend/client/components/SearchResultBox.vue
new file mode 100644
index 0000000000000000000000000000000000000000..2a6b2b11b5015f6f6ac55de299d727926aa5af4c
--- /dev/null
+++ b/oeaplatform/frontend/client/components/SearchResultBox.vue
@@ -0,0 +1,334 @@
+<template>
+ <!-- SearchResultBox -->
+
+ <section :id="id" :aria-label="title + ' (' + type + ')'"
+ class="w-full justify-center result-border pb-4 mt-4 px-8 z-10">
+ <div class="w-full lg:max-w-7xl">
+ <div class="w-full flex flex-row justify-between mb-4">
+ <div class="w-11/12">
+ <NuxtLink :to="localePath(documentUrl)" class="green-one cursor-pointer leading-tight">
+ <h2 class="text-lg lg:text-2xl ">
+ {{ title }}
+ </h2>
+ </NuxtLink>
+ </div>
+ <div class="mr-0 w-6" @mouseenter="handleFavoriteTooltip(true)" @mouseleave="handleFavoriteTooltip(false)">
+ <!-- media-type -->
+ <FavoriteToolTip v-if="favoriteTooltip" />
+ <button @click="addToFavorites(id)" :aria-label="$t('alBtnMarkFavorite')">
+ <icon v-if="!isFavorite" class="green-one text-xl cursor-pointer" :icon="['far', 'star']"
+ :aria-label="$t('alNoFavorit')" />
+ <span v-if="!isFavorite" class="sr-only">{{ $t('alNoFavorit') }}</span>
+ <icon v-if="isFavorite" class="green-one text-xl cursor-pointer" icon="star"
+ :aria-label="$t('alIsFavorit')" />
+ <span v-if="isFavorite" class="sr-only">{{ $t('alIsFavorit') }}</span>
+ </button>
+ </div>
+ </div>
+
+ <div class="w-full main-black light flex">
+ <img v-if="thumbnailUrl === ''"
+ class="object-scale-down object-center mt-2 mr-2 h-16 w-20 lg:mr-4 lg:h-48 lg:w-60 float-left shadow-md"
+ :src="formatThumbnailByTyp(type)" :alt="type" />
+ <img v-else
+ class="object-scale-down object-center mt-2 mr-2 h-16 w-20 lg:mr-4 lg:h-48 lg:w-60 float-left shadow-md"
+ :src="formatThumbnail" :alt="type" />
+ <span class="sr-only">{{ type }}</span>
+ <p class="break-words sm:break-normal text-xs lg:text-base">{{ formatDescription }}</p>
+ </div>
+
+ <!-- Details Metadata Begin -->
+ <div class="fourth-grey mt-4 flex flex-row border border-solid">
+ <div class="flex w-full flex-col lg:flex-row m-2">
+ <div class="grid lg:w-3/4 grid-cols-4 gap-y-2 gap-x-20 justify-items-start place-items-center">
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('author') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <NuxtLink v-for="(author, index) in authors" :key="index" :to="localePath(authorUrl(author))"
+ class="green-one">
+ <span v-if="index === authors.length - 1">{{ author }}</span>
+ <span v-else class="mr-1">{{ author }}; </span>
+ </NuxtLink>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('uploadDate') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">{{ formatDate }}</div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('source') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base"><a class="green-one" :href="link" target="_blank"><icon class="mr-1" icon="external-link-alt" />{{ source }}</a></div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('discipline') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(discipline, idx) in disciplineList">
+ <span v-if="idx === disciplineList.length - 1">{{ formatDiscipline(discipline) }}</span>
+ <span v-else class="mr-1">{{ formatDiscipline(discipline) }}; </span>
+ </span>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('learningRT') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(learningRT, idx) in learningRTList">
+ <span v-if="idx === learningRTList.length - 1">{{ formatLearningRT(learningRT) }}</span>
+ <span v-else class="mr-1">{{ formatLearningRT(learningRT) }}; </span>
+ </span>
+ </div>
+ <div class="col-span-1 break-words sm:break-normal text-xs lg:text-base">{{ $t('language') }}:</div>
+ <div class="col-span-3 break-words sm:break-normal text-xs lg:text-base">
+ <span v-for="(language, idx) in languageList">
+ <span v-if="idx === languageList.length - 1">{{ formatLanguage(language) }}</span>
+ <span v-else class="mr-1">{{ formatLanguage(language) }}; </span>
+ </span>
+ </div>
+ </div>
+ <div class="flex lg:w-1/4 flex-col">
+ <div class="mb-2 mt-2 flex justify-start lowercase lg:justify-end break-words sm:break-normal text-xs lg:text-base">{{ type }}</div>
+ <div class="mt-2 flex justify-start lg:mt-8 lg:justify-end">
+ <a :href="licenceUrlExternal" target="_blank">
+ <div class="flex w-32 items-start justify-start lg:ml-4 lg:justify-end">
+ <img v-if="licenceIcon('CC')" src="~/static/cc/cc.svg" class="sm:l-1 w-6" alt="CC" />
+ <img v-if="licenceIcon('CC0')" src="~/static/cc/zero.svg" class="ml-1 w-6" alt="Zero" />
+ <img v-if="licenceIcon('BY')" src="~/static/cc/by.svg" class="ml-1 w-6" alt="BY" />
+ <img v-if="licenceIcon('NC')" src="~/static/cc/nc-eu.svg" class="ml-1 w-6" alt="NC" />
+ <img v-if="licenceIcon('SA')" src="~/static/cc/sa.svg" class="ml-1 w-6" alt="SA" />
+ <img v-if="licenceIcon('ND')" src="~/static/cc/nd.svg" class="ml-1 w-6" alt="ND" />
+ </div>
+ </a>
+ </div>
+ <div class="mt-1 flex justify-start lg:justify-end">
+ <p>
+ <a class="green-one" :href="licenceUrlExternal" target="_blank">
+ <p class="text-xs lg:ml-4">
+ {{ licence }}
+ </p>
+ </a>
+ </p>
+ </div>
+ </div>
+ </div>
+ </div>
+ <!-- Details Metadata End -->
+ </div>
+ </section>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import LicenceToolTip from '~/components/LicenceTooltip'
+import FavoriteToolTip from '~/components/FavoriteToolTip'
+
+export default {
+ components: {
+ LicenceToolTip,
+ FavoriteToolTip,
+ },
+
+ props: {
+ id: {
+ type: String,
+ default: '',
+ },
+ title: {
+ type: String,
+ default: '',
+ },
+ description: {
+ type: String,
+ default: '',
+ },
+ authors: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ createdAt: {
+ type: String,
+ default: '',
+ },
+ link: {
+ type: String,
+ default: '',
+ },
+ source: {
+ type: String,
+ default: '',
+ },
+ type: {
+ type: String,
+ default: '',
+ },
+ licence: {
+ type: String,
+ default: '',
+ },
+ licenceUrl: {
+ type: String,
+ default: '',
+ },
+ thumbnailUrl: {
+ type: String,
+ default: '',
+ },
+ disciplineList: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ learningRTList: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ languageList: {
+ type: Array,
+ default() {
+ return []
+ },
+ },
+ },
+
+ data() {
+ return {
+ licenceTooltip: false,
+ favoriteTooltip: false,
+ }
+ },
+ computed: {
+ ...mapState({
+ favorites: (state) => state.favorites,
+ }),
+
+ formatDate() {
+ return `${this.createdAt.slice(8, 10)}.${this.createdAt.slice(5, 7)}.${this.createdAt.slice(0, 4)}`
+ },
+
+ formatDescription() {
+ if (this.description.length > 350) return `${this.description.slice(0, 350)}...`
+ else return this.description
+ },
+
+ isFavorite() {
+ return this.favorites.includes(this.id)
+ },
+
+ documentUrl() {
+ return `/document/${this.id}`
+ },
+
+ licenceUrlExternal() {
+ if (this.licence) {
+ var uri = ""
+ const element = this.licence.split('.')
+ if (this.licence.substring(0, 3).toLowerCase() === "cc-") {
+ uri = `https://creativecommons.org/licenses/${element[0].substring(3, element[0].length - 2)}/${element[0].substring(element[0].length - 1)}.${element[1].substring(0, 1)}${element[1].substring(1).replace('-', '/')}/deed.${this.$i18n.locale}`
+ uri = uri.toLowerCase()
+ } else if (this.licence.substring(0, 3).toLowerCase() === "cc0") {
+ uri = `https://creativecommons.org/licenses/zero/${element[0].substring(element[0].length - 1)}.${element[1].substring(0, 1)}/deed.${this.$i18n.locale}`
+ uri = uri.toLowerCase()
+ } else {
+ uri = `https://spdx.org/licenses/${this.licence}`
+ }
+ return `${uri}`
+ } else {
+ return ``
+ }
+ },
+
+ formatThumbnail() {
+ //return `https://services.phaidra.univie.ac.at/api/object/${this.id}/thumbnail`
+ return this.thumbnailUrl || ''
+ },
+ },
+
+ methods: {
+ ...mapMutations({
+ changeFavorites: 'changeFavorites',
+ }),
+
+ handleLicenceToolTip(state) {
+ this.licenceTooltip = state
+ },
+
+ handleFavoriteTooltip(state) {
+ this.favoriteTooltip = state
+ },
+
+ navigateToDocument(id) {
+ this.$router.push(`/document/${id}`)
+ },
+
+ navigateToAuthorsPage(name) {
+ this.$router.push(`/author/${name.split(' ').join('_')}`)
+ },
+
+ licenceIcon(licence) {
+ if (this.licence) {
+ if (this.licence.split('-').join(' ').split(' ').includes(licence)) return true
+ else return false
+ }
+ },
+
+ addToFavorites(id) {
+ this.changeFavorites(id)
+ },
+
+ authorUrl(authorId) {
+ return `/author/${authorId}`
+ },
+
+ formatDiscipline(disciplineObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${disciplineObj.name_en}`
+ } else {
+ return `${disciplineObj.name_de}`
+ }
+ },
+
+ formatLearningRT(learningRTObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${learningRTObj.name_en}`
+ } else {
+ return `${learningRTObj.name_de}`
+ }
+ },
+
+ formatLanguage(languageObj) {
+ if (this.$i18n.locale === 'en') {
+ return `${languageObj.name_en}`
+ } else {
+ return `${languageObj.name_de}`
+ }
+ },
+ formatThumbnailByTyp(t) {
+ if (t === 'mp4') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'quicktime') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'mpeg') {
+ return `/thumb/file-video-grey.svg`
+ } else if (t === 'mp3') {
+ return `/thumb/file-audio-grey.svg`
+ } else if (t === 'pdf') {
+ return `/thumb/file-pdf-grey.svg`
+ } else if (t === 'doc') {
+ return `/thumb/file-word-grey.svg`
+ } else if (t === 'presentation') {
+ return `/thumb/file-powerpoint-grey.svg`
+ } else if (t === 'document') {
+ return `/thumb/file-word-grey.svg`
+ } else if (t === 'jpeg') {
+ return `/thumb/file-image-grey.svg`
+ } else if (t === 'png') {
+ return `/thumb/file-image-grey.svg`
+ } else if (t === 'zip') {
+ return `/thumb/file-zipper-grey.svg`
+ } else if (t === 'iMooX') {
+ return `https://imoox.at/mooc/pluginfile.php/1/core_admin/logocompact/300x300/1689339287/imoox_logo.png`
+ } else {
+ return `/thumb/question-grey.svg`
+ }
+ },
+ },
+}
+</script>
+
+<style scoped>.licence-wrapper {
+ width: 18rem;
+}</style>
diff --git a/oeaplatform/frontend/client/components/SearchTooltip.vue b/oeaplatform/frontend/client/components/SearchTooltip.vue
new file mode 100644
index 0000000000000000000000000000000000000000..8e4dfa139204ddfd00db4468eb58207aad57184b
--- /dev/null
+++ b/oeaplatform/frontend/client/components/SearchTooltip.vue
@@ -0,0 +1,17 @@
+<template>
+ <div class="searchtooltip-box">
+ <div class="searchtooltip-arrow"></div>
+ <p>{{ $t('descriptionSearch') }}</p>
+ </div>
+</template>
+
+<script>
+export default {
+ props: {
+ text: {
+ type: String,
+ default: '',
+ },
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/SearchWrapper.vue b/oeaplatform/frontend/client/components/SearchWrapper.vue
new file mode 100644
index 0000000000000000000000000000000000000000..efdda007ec6283271846db35e33dab4e6c9bc491
--- /dev/null
+++ b/oeaplatform/frontend/client/components/SearchWrapper.vue
@@ -0,0 +1,187 @@
+<template>
+ <div>
+ <div class="w-screen searchbkgbox-green flex justify-center lg:pt-4">
+ <div class="lg:w-6xl flex justify-center flex-col items-center pt-4 padding-bottom">
+ <form class="flex search-wrapper-mobile justify-center lg:w-2/3 search-input-box rounded mb-2" action="#" @submit.prevent="handleSearch">
+ <div class="flex justify-start items-center w-full ml-4 mr-4">
+ <label for="searchinput">
+ <div class="flex w-1/3 items-center search-input-label mr-4">{{ $t('search') }}</div>
+ </label>
+ <input id="searchinput" autocomplete="garbage" name="searchtxt" type="search" :value="query"
+ class="w-2/3 search-input-txt p-3 placeholder-green" @keyup="handleChange" @keyup.enter.prevent="handleSearch" />
+ </div>
+ <div class="flex items-center ml-4 mr-4">
+ <button type="button" v-if="query" class="text-2xl mr-4 cursor-pointer" @click="handleReset">
+ <icon aria-hidden="true" icon="times" class="grey-icon" />
+ <span class="sr-only">{{ $t('btnReset') }}</span>
+ </button>
+ <button type="submit" class="text-2xl mr-2 cursor-pointer">
+ <icon aria-hidden="true" class="arrow-icon" icon="search" />
+ <span class="sr-only">{{ $t('btnSearch') }}</span>
+ </button>
+ </div>
+ </form>
+ </div>
+ </div>
+ <div class="w-screen facettenbkgbox-grey flex justify-center lg:pt-4">
+ <div class="lg:w-6xl flex justify-center flex-col items-center pt-4 padding-bottom">
+ <div v-if="isSearching" class="lg:flex justify-start scrolling-wrapper mb-2">
+ <div class="inline-block">
+ <Disciplines @disciplinesEmit="searchWrapperEmit($event)" />
+ </div>
+ <div class="inline-block">
+ <LearningRTs @learningRTsEmit="searchWrapperEmit($event)" />
+ </div>
+ <div class="inline-block">
+ <Languages @languagesEmit="searchWrapperEmit($event)" />
+ </div>
+ <div class="inline-block">
+ <Licences @licencesEmit="searchWrapperEmit($event)" />
+ </div>
+ <div class="inline-block">
+ <Dates @datesEmit="searchWrapperEmit($event)" />
+ </div>
+ <div class="inline-block">
+ <Sources :title="$t('source')" color="green-border" @sourcesEmit="searchWrapperEmit($event)" />
+ </div>
+ <!-- disable view of MediaTypes -->
+ <div class="inline-block">
+ <MediaTypes @mediaTypesEmit="searchWrapperEmit($event)" />
+ </div> <!---->
+ </div>
+ <!-- usabiltiy: remove searchTooltip
+ <div
+ class="green-one lg:searchtoooltip-wrapper flex justify-end items-center media-type lg:w-56"
+ @mouseenter="handleSearchToolTip(true)"
+ @mouseleave="handleSearchToolTip(false)"
+ >
+ <SearchToolTip v-if="searchTooltip" :text="$t('descriptionSearch')" />
+ <p class="green-one mt-6">{{ $t('searchTooltip') }}</p>
+ </div>
+ -->
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+import Disciplines from '~/components/Filters/Disciplines/Disciplines'
+import LearningRTs from '~/components/Filters/LearningRTs/LearningRTs'
+import Languages from '~/components/Filters/Languages/Languages'
+import Licences from '~/components/Filters/Licences/Licences'
+import MediaTypes from '~/components/Filters/MediaType/MediaTypes'
+import Sources from '~/components/Filters/Sources/Sources'
+import Dates from '~/components/Filters/Date/Dates'
+import SearchToolTip from '~/components/SearchTooltip'
+
+export default {
+ components: { Disciplines, LearningRTs, Languages, Licences, MediaTypes, Sources, Dates, SearchToolTip },
+
+ data() {
+ return {
+ isTyping: false,
+ searchTooltip: false,
+ }
+ },
+
+ computed: {
+ ...mapState({
+ query: (state) => state.query,
+ currentPage: (state) => state.currentPage,
+ size: (state) => state.size,
+ totalResults: (state) => state.totalResults,
+ isSearching: (state) => state.isSearching,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeResults: 'changeResults',
+ changeIsLoading: 'changeIsLoading',
+ changeIsSearching: 'changeIsSearching',
+ changeQuery: 'changeQuery',
+ changeTotalResults: 'changeTotalResults',
+ changeNumOfPages: 'changeNumOfPages',
+ changeDisciplines: 'changeDisciplines',
+ changeLearningRTs: 'changeLearningRTs',
+ changeLanguages: 'changeLanguages',
+ changeFilteredDisciplines: 'changeFilteredDisciplines',
+ changeFilteredLearningRTs: 'changeFilteredLearningRTs',
+ changeFilteredLanguages: 'changeFilteredLanguages',
+ changeLicences: 'changeLicences',
+ changeMediaTypes: 'changeMediaTypes',
+ changeSources: 'changeSources',
+ changeFixedQuery: 'changeFixedQuery',
+ resetFilters: 'resetFilters',
+ resetSort: 'resetSort',
+ changeStartItem: 'changeStartItem',
+ changeEndItem: 'changeEndItem',
+ changeSize: 'changeSize',
+ }),
+
+ handleSearchToolTip(state) {
+ this.searchTooltip = state
+ },
+
+ handleChange(event) {
+ if (event.target.value) {
+ this.isTyping = true
+ this.changeIsLoading(false)
+ this.changeIsSearching(false)
+ let q = document.getElementById('searchinput')
+ this.changeQuery(q.value)
+ }
+ if (event.target.value.length == 0) {
+ this.handleReset()
+ }
+ },
+
+ handleReset(event) {
+ this.changeQuery('')
+ this.changeIsLoading(false)
+ this.changeIsSearching(false)
+ this.resetFilters()
+ this.resetSort()
+ this.changeResults([])
+ this.changeNumOfPages(0)
+ this.changeTotalResults(0)
+ document.getElementById('searchinput').focus();
+ },
+
+ async handleSearch(event) {
+ let q = document.getElementById('searchinput')
+ this.changeQuery(q.value)
+ if (this.query) {
+ this.isTyping = false
+ this.changeIsLoading(true)
+ this.changeIsSearching(true)
+
+ event.preventDefault()
+ this.resetFilters()
+ this.resetSort()
+ this.changeIsLoading(true)
+ this.changeIsSearching(true)
+ this.changeResults([])
+ this.changeFixedQuery(q.value)
+ this.changeNumOfPages(0)
+ this.changeTotalResults(0)
+ this.changeSize(10)
+
+ this.$emit('searchEmit')
+ }
+ },
+
+ async searchWrapperEmit(event) {
+ this.$emit('searchWrapperEmit')
+ }
+
+ },
+}
+</script>
+
+<style scoped>
+.searchtooltip-wrapper {
+ width: 18rem;
+}</style>
+
diff --git a/oeaplatform/frontend/client/components/Sorting/Sorting.vue b/oeaplatform/frontend/client/components/Sorting/Sorting.vue
new file mode 100644
index 0000000000000000000000000000000000000000..5d8e7ec306864ddf27581e6cb1db1afaec8cb948
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Sorting/Sorting.vue
@@ -0,0 +1,63 @@
+<template>
+ <div class="relative">
+
+ <button type="button" :aria-expanded="ariaExpanded" class="second-grey flex px-4 py-1 border-2 border-gray-200 rounded bg-white cursor-pointer items-center mt-3 lg:mt-0" @click="handleModal">
+ <p v-if="sortDescritpion.length > 0" class="placeholder-grey mr-3">{{ $t(sortDescritpion) }}</p>
+ <p v-if="sortDescritpion.length == 0" class="placeholder-grey mr-3">{{ $t('sortBy') }}</p>
+ <icon class="ml-auto arrow-icon" :icon="icon" />
+ </button>
+ <SortingModal v-if="modal" @sortingModalEmit="sortingEmit($event)"/>
+ </div>
+</template>
+
+<script>
+import { mapState } from 'vuex'
+import SortingModal from './SortingModal.vue'
+export default {
+ components: { SortingModal },
+
+ data() {
+ return {
+ modal: false,
+ }
+ },
+
+ computed: {
+ ...mapState({
+ fixedQuery: (state) => state.fixedQuery,
+ totalResults: (state) => state.totalResults,
+ sortType: (state) => state.sortType,
+ sortOrder: (state) => state.sortOrder,
+ }),
+
+ icon() {
+ return this.modal ? 'chevron-up' : 'chevron-down'
+ },
+
+ ariaExpanded() {
+ return this.modal ? 'true' : 'false'
+ },
+
+ sortDescritpion() {
+ if (this.sortType === 'title' && this.sortOrder === 'asc') return 'titleAsc'
+ else if (this.sortType === 'title' && this.sortOrder === 'desc') return 'titleDesc'
+ else if (this.sortType === 'date' && this.sortOrder === 'asc') return 'uploadDateAsc'
+ else if (this.sortType === 'date' && this.sortOrder === 'desc') return 'uploadDateDesc'
+ else return ''
+ },
+ },
+
+ methods: {
+ print() {
+ window.print()
+ },
+ handleModal() {
+ this.modal = !this.modal
+ },
+
+ sortingEmit(event) {
+ this.$emit('sortingEmit')
+ }
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Sorting/SortingModal.vue b/oeaplatform/frontend/client/components/Sorting/SortingModal.vue
new file mode 100644
index 0000000000000000000000000000000000000000..9bbbd07a8d15d4075777527607ce271f6e100030
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Sorting/SortingModal.vue
@@ -0,0 +1,59 @@
+<template>
+ <div class="lg:dropdown-animation sorting-box pop-up-width flex flex-col items-start justify-start rounded border bg-white py-2 text-center main-black">
+ <div class="arrow1"></div>
+ <div class="arrow2"></div>
+ <div class="w-full pl-4 flex border-b bg-white text-left items-center mb-2 pb-2 cursor-pointer" @click="handleSort({ type: 'date', order: 'asc' })" @keyup.enter="handleSort({ type: 'date', order: 'asc' })">
+ <input class="mr-2 cursor-pointer" type="radio" name="dateRange" value="now/d" :checked="isChecked({ type: 'date', order: 'asc' })" />
+ <p>{{ $t('uploadDateAsc') }}</p>
+ </div>
+
+ <div class="w-full pl-4 flex border-bblabla bg-white text-left items-center mb-2 pb-2 cursor-pointer" @click="handleSort({ type: 'date', order: 'desc' })" @keyup.enter="handleSort({ type: 'date', order: 'desc' })">
+ <input class="mr-2 cursor-pointer" type="radio" name="dateRange" value="now/d" :checked="isChecked({ type: 'date', order: 'desc' })" />
+ <p>{{ $t('uploadDateDesc') }}</p>
+ </div>
+
+ <div class="flex flex-start items-center w-full px-4 py-2">
+ <button class="green-one cursor-pointer" @click="resetFilters" @keyup.enter="resetFilters">{{ $t('reset') }}</button>
+ <button class="green-button ml-auto" @click="handleSearch()" @keyup.enter="handleSearch()">{{ $t('save') }}</button>
+ </div>
+ </div>
+</template>
+
+<script>
+import { mapState, mapMutations } from 'vuex'
+
+export default {
+ computed: {
+ ...mapState({
+ sortType: (state) => state.sortType,
+ sortOrder: (state) => state.sortOrder,
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeSortType: 'changeSortType',
+ changeSortOrder: 'changeSortOrder',
+ }),
+
+ isChecked(sort) {
+ return this.sortType === sort.type && this.sortOrder === sort.order
+ },
+
+ resetFilters() {
+ this.changeSortType('')
+ this.changeSortOrder('')
+ },
+
+ handleSort(sort) {
+ this.changeSortType(sort.type)
+ this.changeSortOrder(sort.order)
+ },
+
+ handleSearch() {
+ this.$emit('sortingModalEmit')
+ },
+
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/components/Spinner.vue b/oeaplatform/frontend/client/components/Spinner.vue
new file mode 100644
index 0000000000000000000000000000000000000000..480eaad052a3ec995eb463ca5d9969cdd05964df
--- /dev/null
+++ b/oeaplatform/frontend/client/components/Spinner.vue
@@ -0,0 +1,73 @@
+<template>
+ <div class="w-full flex justify-center items-centerk">
+ <div class="flex max-w-7xl items-center justify-center main-black text-xl">
+ <div class="spinner">
+ <div class="rect1"></div>
+ <div class="rect2"></div>
+ <div class="rect3"></div>
+ </div>
+ <h1 class="text-xl lg:text-3xl word-break main-black">{{ $t('loading') }}</h1>
+ </div>
+ </div>
+</template>
+
+<style scoped>
+.spinner {
+ margin: 100px auto;
+ overflow-y: hidden;
+ width: 50px;
+ height: 70px;
+ text-align: center;
+ font-size: 10px;
+}
+
+.spinner > div {
+ background-color: #333;
+ height: 100%;
+ width: 6px;
+ display: inline-block;
+
+ -webkit-animation: sk-stretchdelay 1.2s infinite ease-in-out;
+ animation: sk-stretchdelay 1.2s infinite ease-in-out;
+}
+
+.spinner .rect1 {
+ background: #ff9600;
+}
+
+.spinner .rect2 {
+ background: #0b9dd9;
+ -webkit-animation-delay: -1.1s;
+ animation-delay: -1.1s;
+}
+
+.spinner .rect3 {
+ -webkit-animation-delay: -1s;
+ animation-delay: -1s;
+ background: #289922;
+}
+
+@-webkit-keyframes sk-stretchdelay {
+ 0%,
+ 40%,
+ 100% {
+ -webkit-transform: scaleY(0.4);
+ }
+ 20% {
+ -webkit-transform: scaleY(1);
+ }
+}
+
+@keyframes sk-stretchdelay {
+ 0%,
+ 40%,
+ 100% {
+ transform: scaleY(0.4);
+ -webkit-transform: scaleY(0.4);
+ }
+ 20% {
+ transform: scaleY(1);
+ -webkit-transform: scaleY(1);
+ }
+}
+</style>
diff --git a/oeaplatform/frontend/client/components/WelcomeText.vue b/oeaplatform/frontend/client/components/WelcomeText.vue
new file mode 100644
index 0000000000000000000000000000000000000000..fd3b84cebfbb8ed68d3eff55e5f50624f2cadcc3
--- /dev/null
+++ b/oeaplatform/frontend/client/components/WelcomeText.vue
@@ -0,0 +1,22 @@
+<template>
+ <div class="w-screen flex justify-center py-12">
+ <div class="lg:max-w-6xl flex justify-center flex-col items-center px-4 lg:px-6">
+ <h1 class="mr-auto font-42 main-black mb-3">{{ $t('heading') }}</h1>
+ <p class="mb-10 main-black font-20" v-html="$t('description1')"></p>
+ <p class="mb-6 main-grey font-18 light" v-html="$t('description2')"></p>
+ <p class="mb-6 main-grey font-18 light" v-html=" $t('description3')"></p>
+ </div>
+ </div>
+</template>
+
+<script>
+export default {
+ data() {
+ return {
+ wrapperStyle: {
+ width: '65.2421rem',
+ },
+ }
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/docker-entrypoint.sh b/oeaplatform/frontend/client/docker-entrypoint.sh
new file mode 100644
index 0000000000000000000000000000000000000000..1b3116e53ba37baa7dc4c9655a9095caccc70ec2
--- /dev/null
+++ b/oeaplatform/frontend/client/docker-entrypoint.sh
@@ -0,0 +1,11 @@
+#!/bin/sh
+set -e
+
+# Run command with node if the first argument contains a "-" or is not a system command. The last
+# part inside the "{}" is a workaround for the following bug in ash/dash:
+# https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=874264
+if [ "${1#-}" != "${1}" ] || [ -z "$(command -v "${1}")" ] || { [ -f "${1}" ] && ! [ -x "${1}" ]; }; then
+ set -- node "$@"
+fi
+
+exec "$@"
diff --git a/oeaplatform/frontend/client/jest.config.js b/oeaplatform/frontend/client/jest.config.js
new file mode 100644
index 0000000000000000000000000000000000000000..152978fd64309569955a13c04f80e63239049d58
--- /dev/null
+++ b/oeaplatform/frontend/client/jest.config.js
@@ -0,0 +1,18 @@
+module.exports = {
+ moduleNameMapper: {
+ '^@/(.*)$': '<rootDir>/$1',
+ '^~/(.*)$': '<rootDir>/$1',
+ '^vue$': 'vue/dist/vue.common.js',
+ },
+ moduleFileExtensions: ['ts', 'js', 'vue', 'json'],
+ transform: {
+ '^.+\\.ts$': 'ts-jest',
+ '^.+\\.js$': 'babel-jest',
+ '.*\\.(vue)$': 'vue-jest',
+ },
+ collectCoverage: true,
+ collectCoverageFrom: [
+ '<rootDir>/components/**/*.vue',
+ '<rootDir>/pages/**/*.vue',
+ ],
+}
diff --git a/oeaplatform/frontend/client/jsconfig.json b/oeaplatform/frontend/client/jsconfig.json
new file mode 100644
index 0000000000000000000000000000000000000000..29037a628aaf3b84798021584c9ca70e9552d7ac
--- /dev/null
+++ b/oeaplatform/frontend/client/jsconfig.json
@@ -0,0 +1,12 @@
+{
+ "compilerOptions": {
+ "baseUrl": ".",
+ "paths": {
+ "~/*": ["./*"],
+ "@/*": ["./*"],
+ "~~/*": ["./*"],
+ "@@/*": ["./*"]
+ }
+ },
+ "exclude": ["node_modules", ".nuxt", "dist"]
+}
diff --git a/oeaplatform/frontend/client/layouts/default.vue b/oeaplatform/frontend/client/layouts/default.vue
new file mode 100644
index 0000000000000000000000000000000000000000..9d6f00129944dcba6690e96415eccb36bc861c96
--- /dev/null
+++ b/oeaplatform/frontend/client/layouts/default.vue
@@ -0,0 +1,33 @@
+<template>
+ <div class="wrapper">
+ <Navbar />
+ <main class="main-container">
+ <Nuxt />
+ </main>
+ <footer>
+ <Footerbar />
+ </footer>
+ </div>
+</template>
+
+<script>
+import { mapMutations } from 'vuex'
+import Footerbar from '~/components/Layout/Footer'
+import Navbar from '~/components/Layout/Navbar'
+
+export default {
+ components: { Navbar, Footerbar },
+ methods: {
+ ...mapMutations({
+ changeModal: 'changeModal',
+ }),
+ },
+ head: {
+ meta: [
+ { charset: 'utf-8' },
+ { name: 'viewport', content: 'width=device-width, initial-scale=1' },
+ { hid: 'description', name: 'description', content: process.env.npm_package_description || '' },
+ ],
+ },
+}
+</script>
diff --git a/oeaplatform/frontend/client/middleware/README.md b/oeaplatform/frontend/client/middleware/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..01595ded74642cc7a650105ff8a7fbfc8b3d8636
--- /dev/null
+++ b/oeaplatform/frontend/client/middleware/README.md
@@ -0,0 +1,8 @@
+# MIDDLEWARE
+
+**This directory is not required, you can delete it if you don't want to use it.**
+
+This directory contains your application middleware.
+Middleware let you define custom functions that can be run before rendering either a page or a group of pages.
+
+More information about the usage of this directory in [the documentation](https://nuxtjs.org/guide/routing#middleware).
diff --git a/oeaplatform/frontend/client/nuxt.config.js b/oeaplatform/frontend/client/nuxt.config.js
new file mode 100644
index 0000000000000000000000000000000000000000..fc692ab3326f0ff43ed7a73328c5a2b873693182
--- /dev/null
+++ b/oeaplatform/frontend/client/nuxt.config.js
@@ -0,0 +1,437 @@
+export default {
+ // see https://nuxtjs.org/docs/2.x/configuration-glossary/configuration-dev
+ dev: process.env.NODE_ENV !== 'production',
+
+ publicRuntimeConfig: {
+ analyticsServerBaseUrl: process.env.ANALYTICS_SERVER_BASE_URL || '',
+ analyticsSiteId: process.env.ANALYTICS_SITE_ID || '1'
+ },
+
+ // Global page headers (https://go.nuxtjs.dev/config-head)
+ head: {
+ title: 'Open Education Austria',
+ meta: [{ charset: 'utf-8' }, { name: 'viewport', content: 'width=device-width, initial-scale=1' }, { hid: 'description', name: 'description', content: '' }],
+ link: [
+ { rel: 'icon', type: 'image/x-icon', href: '/favicon.ico' },
+ {
+ rel: 'stylesheet',
+ href: 'https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,100;0,300;0,400;0,700;0,900;1,100;1,300;1,400;1,500;1,700;1,900&display=swap',
+ },
+ ],
+ },
+
+ // Global CSS (https://go.nuxtjs.dev/config-css)
+ css: ['@/assets/css/main.css'],
+
+ // Plugins to run before rendering page (https://go.nuxtjs.dev/config-plugins)
+ // Matomo plugin (https://matomo.org/integrate/#programming-language-platforms-and-frameworks)
+ plugins: [
+ { src: '~/plugins/vue-matomo.js', ssr: false }
+ ],
+
+ // Auto import components (https://go.nuxtjs.dev/config-components)
+ components: true,
+
+ // Modules for dev and build (recommended) (https://go.nuxtjs.dev/config-modules)
+ buildModules: [
+ // https://go.nuxtjs.dev/typescript
+ '@nuxt/typescript-build',
+ // https://go.nuxtjs.dev/tailwindcss
+ '@nuxtjs/tailwindcss',
+ [
+ 'nuxt-fontawesome',
+ {
+ component: 'icon',
+ imports: [
+ {
+ set: '@fortawesome/free-solid-svg-icons',
+ icons: ['fas'],
+ },
+ {
+ set: '@fortawesome/free-regular-svg-icons',
+ icons: ['faStar'],
+ },
+ ],
+ },
+ ],
+ ],
+
+ // Modules (https://go.nuxtjs.dev/config-modules)
+ modules: [
+ // https://go.nuxtjs.dev/axios
+ '@nuxtjs/axios',
+ 'nuxt-i18n',
+ 'nuxt-password-protect'
+ ],
+ router: {
+ middleware: ['password-protect'] // Enable to protect the entire website
+ },
+
+ // Axios module configuration (https://go.nuxtjs.dev/config-axios)
+ axios: {
+ baseURL: process.env.FRONTEND_SERVER_BASE_URL || "https://portal.openeducation.at",
+ },
+
+ // Build Configuration (https://go.nuxtjs.dev/config-build)
+ build: {
+ },
+
+ passwordProtect: {
+ enabled: false, //if you want to use protection set it to: true
+ formPath: '/index-with-password',
+ password: 'oeaa#2022',
+ tokenSeed: 3343490,
+ queryString: '_pw',
+ cookieName: '_password',
+ ignoredPaths: ['/contact', '/imprint']
+ },
+ i18n: {
+ locales: ['en', 'de'],
+ defaultLocale: 'de',
+ vueI18n: {
+ fallbackLocale: 'en',
+ messages: {
+ en: {
+ favorites: 'Favorites',
+ search: 'Search',
+ discipline: 'Discipline',
+ learningRT: 'Resource',
+ language: 'Language',
+ licence: 'Licence',
+ aboutLicence: 'About Creative Commons Licences',
+ ccUrl: 'https://creativecommons.org/licenses/?lang=en',
+ moreInfo: 'more Information',
+ date: 'Date',
+ source: 'Source',
+ imprint: 'Imprint',
+ imprintContent: [
+ { header: 'Maintainer of the OERhub',
+ description: 'XXXX XXXX<br>Street X<br>XXXX Xxxx'
+ },
+ { header: 'Copyright',
+ description: 'The source code of the OERhub is published as open source with Apache 2.0 license. The creation, use and non-commercial distribution of copies in electronic or printed form are permitted if the source is acknowledged.<br>All OER objects found and displayed from the linked repositories contain information on the respective authors and license details, which must be taken into account.'
+ },
+ { header: 'Liability',
+ description: 'All texts on the OERhub have been carefully checked. Nevertheless, no guarantee can be given for the correctness, completeness and topicality of the information.<br>Liability for the OER objects found in the linked systems lies with the respective source..'
+ }
+ ],
+ favsDesc: 'Favourites are stored as cookies and are therefore only saved on this device. If you call up the OERhub on another device, you will not be able to access your favourites.',
+ favsNotExist: 'No Favourites on this device!',
+ mediaType: 'Media',
+ sponsor: 'Funding',
+ partner: 'Projectpartner of Open Education Austria Advanced:',
+ searchTooltip: 'How does the search work?',
+ heading: 'Search and find Open Educational Resources (OER)',
+ description1:
+ 'OERhub - Search engine for open educational resources',
+ description2:
+ '',
+ description3:
+ '',
+ contact: 'Contact',
+ contactContent: [
+ { header: 'Technical Support',
+ description: '',
+ person: [ { contact: '<b>Max Mustermann/b><br>Details' } ]
+ }
+ ],
+ disclaimer: 'Disclaimer',
+ disclaimer1: 'Now and Future',
+ disclaimer2: 'It is important to us that you are supported in finding the OER you are looking for. Therefore, in the course of developing the OERhub, we pay special attention to the user-friendly display of the metadata provided to us. We work together with the repositories connected to the OERhub to provide you with the best possible search results.<br><br>Currently connected to the OERhub are the OER repositories of the University of Vienna, University of Graz, University of Innsbruck, Graz University of Technology and the Austrian MOOC platform iMooX and Archivesystem of the Project DigiFit4All.<br><br>In the course of the project, all developments around the OERhub will also be made freely available as open source products.',
+ dataProtection: 'Data Protection',
+ project: 'Project',
+ home: 'Home',
+ faq: 'FAQ',
+ faqContent: [
+ { header: 'The concept of the OERhub',
+ description: [ { subheader: '', text: 'Teaching staff can store and release their OER in one of the connected institutional archive systems according to the owner principle. The OERhub makes these locally stored OER available for broad use beyond their own institution. The centralized OERhub for OER from the higher education sector thus contributes to the national and international visibility of teaching.<br>Conceptually, a decentralized approach is pursued; the universities continue to bear responsibility for their local infrastructures (production processes, archiving). The OERhub follows the FAIR Data principles and can be easily expanded to include other universities thanks to its modular architecture and open interfaces. The OERhub is also GDPR-compliant in its handling of data.' } ]
+ },
+ { header: 'Principles of the OERhub',
+ description: [ { subheader: '', text: 'In accordance with the European Open Science Cloud (EOSC, 2020) and the international standards for handling research data, the OERhub is based on the FAIR Data principles. The technological architecture of the OERhub can easily be expanded and thus facilitates the connection of local architectures.' } ]
+ },
+ { header: 'Requirements and specifications for connecting a repository to the OERhub',
+ description: [ { subheader: '', text: '<ul class="list-inside list-decimal"><li>The first requirement is that the metadata must be provided to OERHub in the LOM schema. The fields ‘Title’, ‘Author’, ‘Date’ and licence information are mandatory. Information on the discipline - described via the ÖFOS (Statistik Austria, 2017) - and the media type (MIME type) is required so that the OER found can be filtered via the facets. A meaningful description of the didactic embedding of the learning object also increases the quality of the search.</li><li>The second requirement is the persistent link as a reference to a landing page. All relevant information and the download of the teaching/learning object can be found on this page.</li><li>The third requirement is that the object itself must be offered with an open Creative Commons licence.</li></ul>You can download the TwoPager as a summary here: <a href="https://phaidra.univie.ac.at/detail/o:2110159" _target="_extWindow">TwoPager</a>' } ]
+ },
+ { header: 'Interfaces for connecting to the OERhub',
+ description: [ { subheader: '', text: 'Due to the open architecture of the OERhub, decentralized university repositories or other local systems can be connected to the OERhub in various ways. The options range from the OAI-PMH interface, the OERhub application programming interfaces (API) and other connectors.' } ]
+ }
+ ],
+ resultsFor: 'Results for',
+ itemFrom: 'Viewing',
+ itemTo: 'to',
+ toPress: 'To press',
+ sortBy: 'Sorted by: ',
+ author: 'Authors',
+ uploadDate: 'Uploaded on',
+ updateDate: 'Last updated on',
+ loading: 'One moment please. Your results are loading...',
+ noSearchResults: 'Your search returned no results.',
+ back: 'Back',
+ continue: 'Continue',
+ btnJumpTop: 'Top',
+ btnJumpBottom: 'Bottom',
+ seekDiscipline: 'Seek discipline',
+ seekLearningRT: 'Seek resource',
+ seekLanguage: 'Seek language',
+ reset: 'Reset',
+ save: 'Apply',
+ today: 'Today',
+ lastWeek: 'Last Week',
+ lastMonth: 'Last Month',
+ lastYear: 'Last Year',
+ metaData: 'Metadata',
+ metaDataDescription: 'The following additional information is available for this entry:',
+ report: 'Report entry',
+ reportExplanation: 'Please tell us the reason why you would like to report this entry.',
+ copy: 'Copy link source',
+ entries: 'Entries',
+ titleAsc: 'Title A - Z',
+ titleDesc: 'Title Z - A',
+ uploadDateAsc: 'Upload date: ascending',
+ uploadDateDesc: 'Upload date: descending',
+ scoreAsc: 'Score: ascending',
+ scoreDesc: 'Score: descending',
+ remove: 'Remove',
+ customDate: 'Date period',
+ from: 'From',
+ to: 'To',
+ descriptionLicence: 'CC = Creative Commons, BY = Attribution, NC = Non-Commercial, ND = No Derivatives, SA = Share Alike ---- more Details on the Homepage ',
+ favoriteTooltip: 'Mark as favorite',
+ cancel: 'Cancel',
+ send: 'Send',
+ resetFilters: 'Clear Filters',
+ copied: 'Link source copied',
+ welcomeHead1: 'Welcome!',
+ isAuthorisedHead1: 'Logged in',
+ isAuthorisedDecision: 'Here you ara able to log out or continue with the Search ... ',
+ lnkLogout: 'Log out',
+ lnkSearch: 'Search',
+ askPaswordHead1: 'Log in',
+ askPasswordTxt: 'Please enter your Password ...',
+ hintPassword: 'Password ...',
+ btnPassword: 'Log in',
+ btnReset: 'Remove Search Term',
+ btnSearch: 'Search',
+ descriptionSearch: 'The words in the textfield are used for the search about author, title or description. We use an intelligent search algorithm to get best results. With the use of Filter-boxes you are able to specify more details. ',
+ jsonExport: 'Export as JSON',
+ accessibility: 'Accessibility',
+ accessibilityContent: [
+ { header: 'Declaration of Accessibility',
+ description: 'During the implementation of the OERhub community edition v. 1.0., the project team was committed to making the OERhub accessible in accordance with the Web Accessibility Act (WZG) as amended, to implement Directive (EU) 2016/2102 of the European Parliament and the Council of 26 October 2016 on the accessibility of websites and mobile applications of public sector bodies (Official Journal L 327, 2.12.2016, p. 1).<br><br>This accessibility declaration applies to the websites www.example.at.'
+ },
+ { header: 'Compliance Status',
+ description: 'The websites are partially compliant with the Web Content Accessibility Guidelines (WCAG) due to the incompatibilities and exceptions outlined below.<br><br>The underlying criteria are based on WCAG 2.1 conformance level AA and the European Standard EN 301 549 V3.1.2 (PDF).<br><br>Section 9.6 of the WCAG conformance requirements in EN 301 549 is not met, as the WCAG 2.1 Level AA standards are only partially fulfilled.',
+ },
+ { header: 'Non-Accessible Content',
+ description: '<ul class="list-inside list-disc"><li>Mobile content displays errors when zoomed beyond 150%.</li><li>Link descriptions are not consistently WCAG-compliant.</li><li>Labels for user interface elements are partially not WCAG-compliant.</li><li>Foreign language text passages are sometimes not marked.</li><li>Certain overlapping areas remain open when navigating with the keyboard and cannot be closed via keyboard commands.</li><li>The search area is not semantically marked.</li></ul>',
+ },
+ { header: 'Content Outside the Scope of Applicable Legal Requirements',
+ description: 'Content from third parties that the maintainer of the website www.example.at does not have control over is exempt from Directive (EU) 2016/2102. No claims can be made regarding compliance with accessibility requirements for such third-party content.',
+ },
+ { header: 'Creation of This Accessibility Declaration',
+ description: 'This declaration was created on April 11, 2023. Last updated: December 1, 2024.<br><br>The compliance of the websites with the Web Accessibility Act to implement the requirements of Directive (EU) 2016/2102 was assessed through an external accessibility audit based on WCAG 2.1 at compliance level AA in October 2024.',
+ },
+ { header: 'Feedback and Contact Information',
+ description: 'If you encounter any barriers that hinder your use of this website - issues not described in this declaration or more significant deficiencies concerning accessibility requirements - please inform us via [CHANNEL]. We will review your inquiry and contact you as soon as possible. Please send all communications and suggestions to <a href="mailto:office@example.at?subject=accessibility - complaints">office@example.at</a>. Describe the issue and specify the area in question.',
+ },
+ { header: 'Contact',
+ description: '[CONTACT INFORMATION]',
+ },
+ { header: 'Enforcement Procedure',
+ description: 'If the response from the above-mentioned contact does not satisfy you, you can submit a complaint to [NAME OF AUTHORITY]. Complaints can be submitted electronically via the contact form: <a class="green-one" href="https://LINK" target="_extFFG">https://LINK</a><br><br>The [NAME OF AUTHORITY] examines complaints to determine whether they relate to violations of the Web Accessibility Act, particularly shortcomings in meeting accessibility requirements by the federal government or associated entities.<br><br>If the complaint is justified, the [NAME OF AUTHORITY] will issue recommendations and propose measures to the federal government or relevant entities to address the identified issues.<br><br>For more information on the complaints procedure: <a class="green-one" href="https://LINK" target=_extFFG">https://LINK</a>',
+ }
+ ],
+ about: 'About',
+ aboutContent: [
+ { header: 'OERhub as a search engine',
+ description: 'The OERhub is a search engine for open educational resources (OER).<br><br><b>The OERhub</b><br>Via OERhub, OER can be searched for and then either be reused or processed. Thus, the OERhub makes it easier for teachers to find OER beyond the local technical infrastructures (e.g. online archives such as repositories).<br>The OERhub as an open source project is available at the following link: [LINK]<br><br><b>Context of origin: the ‘Open Education Austria Advanced’ project</b><br>The OERhub was developed as a prototype during the ‘Open Education Austria’ project (2016- 2018) and was made ready for product maturity during the ‘Open Education Austria Advanced’ project (2020-2024).',
+ }
+ ],
+ history: 'Version History',
+ historyContent: [
+ { header: '1.0.0',
+ description: 'This oerhub-ce is based on production release v2.1.3'
+ },
+ ],
+ alBtnMarkFavorite: 'Mark Favorite',
+ alNoFavorit: 'No Favorite',
+ alIsFavorit: 'Marked as Favorite',
+ alPaginationBottom: 'Bottom Nav in Results',
+ alPageSelectBottom: 'Bottom Page Selcet',
+ alPaginationTop: 'Top Nav in Results',
+ alPageSelectTop: 'Top Nav Page Select',
+ },
+ de: {
+ favorites: 'Favoriten',
+ search: 'Suche',
+ discipline: 'Disziplin',
+ learningRT: 'Material',
+ language: 'Sprache',
+ licence: 'Lizenz',
+ aboutLicence: 'Über Creative Commons Lizenzen',
+ ccUrl: 'https://creativecommons.org/licenses/?lang=de',
+ moreInfo: 'weitere Informationen',
+ date: 'Datum',
+ source: 'Quelle',
+ imprint: 'Impressum',
+ imprintContent: [
+ { header: 'Betreiberin des OERhub',
+ description: 'XXXX XXXX<br>Straße X<br>XXXX Xxxx'
+ },
+ { header: 'Urheberrecht',
+ description: 'Der Quellcode des OERhub ist als Open Source mit Apache 2.0 Lizenz veröffentlicht. Die Erstellung, die Verwendung und die nicht kommerzielle Weitergabe von Kopien in elektronischer oder ausgedruckter Form sind erlaubt, wenn die Quelle angegeben wird.<br><br>Alle gefundenen und angezeigten OER-Objekte aus den angebundenen Repositorien enthalten Angaben zu den jeweiligen Urheber*innen und Lizenzangaben, die zu beachten sind.'
+ },
+ { header: 'Haftung',
+ description: 'Sämtliche Texte auf dem OERhub wurden sorgfältig geprüft. Dessen ungeachtet kann keine Garantie für die Richtigkeit, Vollständigkeit und Aktualität der Angaben übernommen werden. Die Haftung für die gefundenen OER-Objekte aus den angebundenen Systemen liegt bei der jeweiligen Quelle.'
+ }
+ ],
+ favsDesc: 'Die Favoriten werden als Cookies gespeichert und sind daher nur auf diesem Gerät gesichert. Rufen Sie den OERhub auf einem anderen Gerät auf, können Sie nicht auf Ihre gespeicherten Favoriten zugreifen.',
+ favsNotExist: 'Es sind keine Favoriten auf diesem Gerät gespeichert!',
+ mediaType: 'Medium',
+ sponsor: 'Fördergeber',
+ partner: 'Projektpartner von Open Education Austria Advanced:',
+ searchTooltip: 'Wie funktioniert die Suche?',
+ heading: 'Open Educational Resources (OER) suchen und finden',
+ description1:
+ 'OERhub - Suchmaschine für offene Bildungsressourcen',
+ description2:
+ '',
+ description3:
+ '',
+ contact: 'Kontakt',
+ contactContent: [
+ { header: 'Technischer Support',
+ description: '',
+ person: [ { contact: '<b>Max Mustermann</b><br>Details' } ]
+ }
+ ],
+ disclaimer: 'Disclaimer',
+ disclaimer1: 'Aktuell und Zukunft',
+ disclaimer2: 'Uns ist es wichtig, dass Sie schnell jene OER finden, nach denen Sie suchen. Deshalb achten wir im Zuge der Entwicklung des OERhub besonders auf die User*innen-freundliche Anzeige der uns gelieferten Metadaten. Hierbei arbeiten wir mit den an den OERhub angebundenen Repositorien zusammen, um Ihnen das bestmögliche Suchergebnis zu liefern.<br><br>Aktuell an den OERhub angebunden sind die OER-Repositorien der Universität Wien, Universität Graz, Univeristät Innsbruck, Technischen Universität Graz sowie die österreichische MOOC-Plattform iMooX und das Archivsystem des Projektes DigiFit4All.<br><br>Im Laufe des Projekts werden zudem alle Entwicklungen rund um den OERhub als Open Source Produkte frei zur Verfügung gestellt.',
+ dataProtection: 'Datenschutz',
+ project: 'Projekt',
+ home: 'Home',
+ faq: 'FAQ',
+ faqContent: [
+ { header: 'Das Konzept des OERhub',
+ description: [ { subheader: '', text: 'Lehrende können nach dem Ownerprinzip in einem der angebundenen institutionellen Archivsysteme ihre OER ablegen und freigeben. Durch den OERhub werden diese lokal gespeicherten OER für die breite Nutzung über die eigene Institution hinaus erschlossen. Damit trägt der zentrale OERhub für OER aus dem Hochschulbereich zur nationalen, aber auch internationalen Sichtbarkeit der Lehre österreichischer Hochschulen bei. Konzeptionell wird ein dezentraler Ansatz verfolgt, die Hochschulen tragen weiterhin Verantwortung für ihre lokalen Infrastrukturen (Produktionsabläufe, Archivierung). Der OERhub folgt den FAIR Data Prinzipien und kann auf Grund seiner modularen Architektur und offenen Schnittstellen leicht um weitere Hochschulen erweitert werden. Der OERhub ist mit seiner Anbindung an österreichische Universitäten auch DSGVO-konform im Umgang mit Daten.' } ]
+ },
+ { header: 'Grundsätze des OERhubs',
+ description: [ { subheader: '', text: 'In Anlehnung an die European Open Science Cloud (EOSC) (European Open Science Cloud, 2020) und die internationalen Standards bezüglich Handhabung von Forschungsdaten orientiert sich der OERhub an den FAIR Data-Prinzipien. Auf Basis dieser Grundsätze für die nachhaltige Nutzung von Forschungsdaten sollen Forschungsdateninfrastrukturen im Rahmen der Entwicklung ihrer Services implementiert werden. Auf diesen Prinzipien basieren die Voraussetzungen für die Anbindung eines Quellsystems interessierter Hochschulen an den OERhub, da dieser aufgrund seiner technologischen Architektur leicht erweiterbar und somit «open for collaboration» bei entsprechender technischer Überlieferung der Voraussetzungen ist.' } ]
+ },
+ { header: 'Voraussetzungen und Vorgaben für eine Anbindung eines Repositoriums an den OERhub',
+ description: [ { subheader: '', text: '<ul class="list-inside list-decimal"><li>Als erste Voraussetzung müssen die Metadaten im LOM-Schema an den OERHub geliefert werden. Dabei sind die Felder «Titel», «Autor*in», «Datum» und die Information zur Lizenz Pflicht. Damit gefundene OER über die Facetten gefiltert werden können, braucht es Informationen über die Disziplin - beschrieben über die ÖFOS (Statistik Austria, 2017) - und den Medientypen (MIME-Type). Eine aussagekräftige Beschreibung der didaktischen Einbettung des Lernobjekts erhöht zusätzlich die Qualität der Suche.</li><li>Die zweite Voraussetzung stellt der persistente Link als Verweis auf eine Landingpage dar. Auf dieser sind alle relevanten Information und der Download des Lehr-/Lernobjekts zu finden.</li><li>Als dritte Voraussetzung muss das Objekt selbst mit einer offenen Creative Commons Lizenz angeboten werden.</li></ul>Den TwoPager als Zusammenfassung finden Sie zum Download hier: <a class="green-one" href="https://phaidra.univie.ac.at/detail/o:2110159" target="_extWindow">TwoPager</a>' } ]
+ },
+ { header: 'Schnittstellen für die Anbindung an den OERhub',
+ description: [ { subheader: '', text: 'Die Anbindung für Quellsysteme (dezentrale Hochschulrepositorien) ist aufgrund der offenen Architektur des OERhub auf unterschiedliche Arten möglich. Es kann hier zwischen der OAI-PMH-Schnittstelle, der Application Programming Interfaces (API) des OERhub und weiteren Conntectoren frei gewählt werden.' } ]
+ }
+ ],
+ resultsFor: 'Ergebnisse für',
+ itemFrom: 'Zeige',
+ itemTo: 'bis',
+ toPress: 'Drucken',
+ sortBy: 'Sortiert nach: ',
+ author: 'Autor*in',
+ uploadDate: 'Hochgeladen am',
+ updateDate: 'Zuletzt aktualisiert am',
+ loading: 'Einen Moment bitte. Ihre Ergebnisse werden geladen…',
+ noSearchResults: 'Ihre Suche ergab leider keine Treffer.',
+ back: 'Zurück',
+ continue: 'Weiter',
+ btnJumpTop: 'Oben',
+ btnJumpBottom: 'Ende',
+ seekDiscipline: 'Disziplin suchen',
+ seekLearningRT: 'Material suchen',
+ seekLanguage: 'Sprache suchen',
+ reset: 'Zurücksetzen',
+ save: 'Anwenden',
+ today: 'Heute',
+ lastWeek: 'Letzte Woche',
+ lastMonth: 'Letzter Monat',
+ lastYear: 'Letztes Jahr',
+ metaData: 'Metadaten',
+ metaDataDescription: 'Zu diesem Eintrag gibt es folgende zusätzlichen Informationen:',
+ report: 'Eintrag melden',
+ reportExplanation: 'Bitte nennen Sie uns den Grund, warum Sie diesen Eintrag melden möchten.',
+ copy: 'Link Quelle kopieren',
+ entries: 'Einträge',
+ titleAsc: 'Titel A - Z',
+ titleDesc: 'Titel Z - A',
+ uploadDateAsc: 'Uploaddatum: aufsteigend',
+ uploadDateDesc: 'Uploaddatum: absteigend',
+ scoreAsc: 'Relevanz: aufsteigend',
+ scoreDesc: 'Relevanz: absteigend',
+ remove: 'Entfernen',
+ customDate: 'Zeitraum',
+ from: 'Von',
+ to: 'Bis',
+ descriptionLicence: 'CC = Creative Commons, BY = Namensnennnung, NC = Nicht kommerziell, ND = keine Bearbeitung, SA = Weitergabe unter gleichen Bedingungen',
+ favoriteTooltip: 'Favorit markieren',
+ cancel: 'Abbrechen',
+ send: 'Abschicken',
+ resetFilters: 'Filter löschen',
+ copied: 'Link Quelle kopiert',
+ welcomeHead1: 'Willkommen!',
+ isAuthorisedHead1: 'Sie sind erfolgreich Angemeldet',
+ isAuthorisedDecision: 'Hier können Sie sich ausloggen oder zur Suche... ',
+ lnkLogout: 'Log out',
+ lnkSearch: 'Zur Suche',
+ askPaswordHead1: 'Log in',
+ askPasswordTxt: 'Bitte das Passwort ...',
+ hintPassword: 'Passwort ...',
+ btnPassword: 'Log in',
+ btnReset: 'Entferne Suchbegriff',
+ btnSearch: 'Suchen',
+ descriptionSearch: 'Die eingegebenen Wörter im Textfeld suchen nach Autor, Titel oder Beschreibung. Die gefundenen Resultate können im Anschluss über die Filter-Boxen verfeinert werden. ',
+ jsonExport: 'Export als JSON',
+ accessibility: 'Barrierefreiheit',
+ accessibilityContent: [
+ { header: 'Erklärung zur Barrierefreiheit',
+ description: 'Bei der Implementierung der OERhub Community Edition v. 1.0. war man bemüht, den OERhub im Einklang mit dem Web-Zugänglichkeits-Gesetz (WZG) idgF zur Umsetzung der Richtlinie (EU) 2016/2102 des Europäischen Parlaments und des Rates vom 26. Oktober 2016 über den barrierefreien Zugang zu den Websites und mobilen Anwendungen öffentlicher Stellen (Amtsblatt L 327 vom 2.12.2016, S. 1) barrierefrei zugänglich zu machen. D<br><br>Diese Erklärung zur Barrierefreiheit gilt für die Website www.example.at',
+ },
+ { header: 'Stand der Vereinbarkeit mit den Anforderungen',
+ description: 'Die Websites sind wegen der im Folgenden dargelegten Unvereinbarkeiten und Ausnahmen teilweise mit den Richtlinien für barrierefreie Webinhalte vereinbar.<br><br>Die zugrundeliegenden Kriterien basieren auf WCAG 2.1 Konformitätsstufe AA bzw. dem Europäischen Standard EN 301 549 V3.1.2 (PDF).<br><br>Punkt 9.6 WCAG Konformitätsanforderungen der EN 301 549 ist nicht erfüllt, da die WCAG 2.1 Level AA nur teilweise erfüllt sind.',
+ },
+ { header: 'Nicht barrierefreie Inhalte',
+ description: '<ul class="list-inside list-disc"><li>Mobile Inhalte werden bei Vergrößerung ab 150% zum Teil fehlerhaft dargestellt</li><li>Link-Beschreibungen sind nicht durchgängig WCAG konform</li><li>Beschriftungen von User Interface Elementen sind zum Teil nicht WCAG konform</li><li>Fremdsprachige Textpassagen sind zum Teil nicht gekennzeichnet</li><li>Bestimmte überlagernde Bereiche bleiben geöffnet, wenn der Tastaturfokus weiter bewegt wird und können nicht per Tastatur geschlossen werden</li><li>Der Suchbereich ist nicht semantisch markiert</li></ul>',
+ },
+ { header: 'Folgende Inhalte fallen nicht in den Anwendungsbereich der anwendbaren Rechtsvorschriften',
+ description: 'Inhalte von Dritten, die nicht im Einflussbereich der Betreiberin des OERhub [NAME] liegen, sind von der Richtlinie (EU) 2016/2102 ausgenommen. Für diese Inhalte Dritter kann bezüglich der Vereinbarkeit mit den Barrierefreiheitsbestimmungen keine Aussage getroffen werden.',
+ },
+ { header: 'Erstellung dieser Erklärung zur Barrierefreiheit',
+ description: 'Diese Erklärung wurde am 11. April 2023 erstellt. Letzte Aktualisierung: 1. Dezember 2024.<br><br>Die Bewertung der Vereinbarkeit der Websites mit dem Webzugänglichkeitsgesetz zur Umsetzung der Anforderungen der Richtlinie (EU) 2016/2102 erfolgte in Form eines externen Accessibility Audits nach WCAG 2.1 im Konformitätslevel AA im Oktober 2024.',
+ },
+ { header: 'Feedback und Kontaktangaben',
+ description: 'Wenn Ihnen Barrieren auffallen, die Sie an der Benutzung dieser Website hindert - Probleme, die in dieser Erklärung nicht beschrieben sind, oder schwerer wiegende Mängel in Bezug auf die Einhaltung der Barrierefreiheitsanforderungen -, so bitten wir Sie, uns diese per [KANAL]] mitzuteilen.<br><br>Wir werden Ihre Anfrage prüfen und Sie ehestmöglich kontaktieren.<br><br>Bitte senden Sie sämtliche Mitteilungen und Anregungen an <a class="green-one" href="mailto:office@example.at?subject=barrierefreiheit - beschwerdestelle">office@example.at</a>. Beschreiben Sie das Problem und führen Sie bitte den Bereich an.',
+ },
+ { header: 'Kontakt',
+ description: '[KONTAKTDATEN]',
+ },
+ { header: 'Durchsetzungsverfahren',
+ description: 'Bei nicht zufriedenstellenden Antworten aus oben genannter Kontaktmöglichkeit können Sie sich mittels Beschwerde an [NAME DES AUSFÜHRENDEN ORGANS] wenden.<br>Kontaktformular der Beschwerdestelle <a class="green-one" href="https://LINK" target="_extFFG">https://LINK</a><br><br>Diese Beschwerden werden von der [NAME DES AUSFÜHRENDEN ORGANS] dahingehend geprüft, ob sie sich auf Verstöße gegen die Vorgaben des Web-Zugänglichkeits-Gesetzes, insbesondere Mängel bei der Einhaltung der Barrierefreiheitsanforderungen, durch den Bund oder einer ihn zuordenbaren Einrichtung beziehen.<br><br>Sofern die Beschwerde berechtigt ist, hat die [NAME DES AUSFÜHRENDEN ORGANS] dem Bund oder den betroffenen Rechtsträgern Handlungsempfehlungen auszusprechen und Maßnahmen vorzuschlagen, die der Beseitigung der vorliegenden Mängel dienen.<br><br>Weitere Informationen zum Beschwerdeverfahren <a class="green-one" href="https://LINK" target=_extFFG">https://LINK</a>',
+ }
+ ],
+ about: 'Über',
+ aboutContent: [
+ { header: 'OERhub als Suchmaschine',
+ description: 'Der OERhub ist eine Suchmaschine für offene Bildungsressourcen - Open Educational Resources (OER)<br><br><b>Der OERhub</b><br>Im OERhub können OER gesucht und gefunden werden, um daraufhin wiederverwendet /verarbeitet zu werden. So erleichtert der OERhub über lokale technische Infrastrukturen (z. B. Online-Archive wie Repositorien) hinweg die Auffindbarkeit von OER für Lehrende.<br>Der OERhub als Open Source Projekt ist unter folgendem Link verfügbar: <a class="green-one" href="https://gitlab.phaidra.org/oerhub-ce/" target="_extFFG">https://gitlab.phaidra.org/oerhub-ce/</a><br><br><b>Entstehungskontext:“</b><br>Der OERhub wurde im Rahmen des Projekts „Open Education Austria“ (2016-2018) prototypisch entwickelt und im Rahmen des Projekts „Open Education Austria Advanced“ (2020-2024) zur Produktreife gebracht.'
+ }
+ ],
+ history: 'Versionshistorie',
+ historyContent: [
+ { header: '1.0.0',
+ description: 'Die oerhub-ce basiert auf der Produktionsversion v2.1.3'
+ },
+ ],
+ alBtnMarkFavorite: 'Markiere als Favorit',
+ alNoFavorit: 'kein Favorit',
+ alIsFavorit: 'markiert als Favorit',
+ alPaginationBottom: 'Navigation in Resultaten unten',
+ alPageSelectBottom: 'Seitenauswahl unten',
+ alPaginationTop: 'Navigation in Resultaten open',
+ alPageSelectTop: 'Seitenauswahl oben',
+ },
+ },
+ },
+ },
+}
diff --git a/oeaplatform/frontend/client/nuxt.config.js.orig b/oeaplatform/frontend/client/nuxt.config.js.orig
new file mode 100644
index 0000000000000000000000000000000000000000..34132b0c43fffdf36f1a241ca15b0ba79801c771
--- /dev/null
+++ b/oeaplatform/frontend/client/nuxt.config.js.orig
@@ -0,0 +1,514 @@
+export default {
+ // see https://nuxtjs.org/docs/2.x/configuration-glossary/configuration-dev
+ dev: process.env.NODE_ENV !== 'production',
+
+ publicRuntimeConfig: {
+ analyticsServerBaseUrl: process.env.ANALYTICS_SERVER_BASE_URL || '',
+ analyticsSiteId: process.env.ANALYTICS_SITE_ID || '1'
+ },
+
+ // Global page headers (https://go.nuxtjs.dev/config-head)
+ head: {
+ title: 'Open Education Austria',
+ meta: [{ charset: 'utf-8' }, { name: 'viewport', content: 'width=device-width, initial-scale=1' }, { hid: 'description', name: 'description', content: '' }],
+ link: [
+ { rel: 'icon', type: 'image/x-icon', href: '/favicon.ico' },
+ {
+ rel: 'stylesheet',
+ href: 'https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,100;0,300;0,400;0,700;0,900;1,100;1,300;1,400;1,500;1,700;1,900&display=swap',
+ },
+ ],
+ },
+
+ // Global CSS (https://go.nuxtjs.dev/config-css)
+ css: ['@/assets/css/main.css'],
+
+ // Plugins to run before rendering page (https://go.nuxtjs.dev/config-plugins)
+ // Matomo plugin (https://matomo.org/integrate/#programming-language-platforms-and-frameworks)
+ plugins: [
+ { src: '~/plugins/vue-matomo.js', ssr: false }
+ ],
+
+ // Auto import components (https://go.nuxtjs.dev/config-components)
+ components: true,
+
+ // Modules for dev and build (recommended) (https://go.nuxtjs.dev/config-modules)
+ buildModules: [
+ // https://go.nuxtjs.dev/typescript
+ '@nuxt/typescript-build',
+ // https://go.nuxtjs.dev/tailwindcss
+ '@nuxtjs/tailwindcss',
+ [
+ 'nuxt-fontawesome',
+ {
+ component: 'icon',
+ imports: [
+ {
+ set: '@fortawesome/free-solid-svg-icons',
+ icons: ['fas'],
+ },
+ {
+ set: '@fortawesome/free-regular-svg-icons',
+ icons: ['faStar'],
+ },
+ ],
+ },
+ ],
+ ],
+
+ // Modules (https://go.nuxtjs.dev/config-modules)
+ modules: [
+ // https://go.nuxtjs.dev/axios
+ '@nuxtjs/axios',
+ 'nuxt-i18n',
+ 'nuxt-password-protect'
+ ],
+ router: {
+ middleware: ['password-protect'] // Enable to protect the entire website
+ },
+
+ // Axios module configuration (https://go.nuxtjs.dev/config-axios)
+ axios: {
+ baseURL: process.env.FRONTEND_SERVER_BASE_URL || "https://portal.openeducation.at",
+ },
+
+ // Build Configuration (https://go.nuxtjs.dev/config-build)
+ build: {
+ },
+
+ passwordProtect: {
+ enabled: false, //if you want to use protection set it to: true
+ formPath: '/index-with-password',
+ password: 'oeaa#2022',
+ tokenSeed: 3343490,
+ queryString: '_pw',
+ cookieName: '_password',
+ ignoredPaths: ['/contact', '/imprint']
+ },
+ i18n: {
+ locales: ['en', 'de'],
+ defaultLocale: 'de',
+ vueI18n: {
+ fallbackLocale: 'en',
+ messages: {
+ en: {
+ favorites: 'Favorites',
+ search: 'Search',
+ discipline: 'Discipline',
+ learningRT: 'Resource',
+ language: 'Language',
+ licence: 'Licence',
+ aboutLicence: 'About Creative Commons Licences',
+ ccUrl: 'https://creativecommons.org/licenses/?lang=en',
+ moreInfo: 'more Information',
+ date: 'Date',
+ source: 'Source',
+ imprint: 'Imprint',
+ imprintContent: [
+ { header: 'Maintainer of the OERhub',
+ description: 'University of Vienna<br>Universitätsring 1<br>1010 Vienna'
+ },
+ { header: 'Copyright',
+ description: 'The contents of the website "www.oerhub.at" are published on the World Wide Web for online access; the copyright for texts, graphics and design is held by the University of Vienna. The source code of the OERhub is published as open source with Apache 2.0 license. The creation, use and non-commercial distribution of copies in electronic or printed form are permitted if the source is acknowledged.<br><br>All OER objects found and displayed from the linked repositories contain information on the respective authors and license details, which must be observed.'
+ },
+ { header: 'Liability',
+ description: 'All texts on the OERhub have been carefully checked. Nevertheless, no guarantee can be given for the correctness, completeness and topicality of the information. Liability on the part of the University of Vienna is therefore excluded.<br><br>Liability for the OER objects found in the linked systems lies with the respective source. Since the University of Vienna has no influence on their content, the University of Vienna assumes no responsibility for them.'
+ }
+ ],
+ favsDesc: 'Favourites are stored as cookies and are therefore only saved on this device. If you call up the OERhub on another device, you will not be able to access your favourites.',
+ favsNotExist: 'No Favourites on this device!',
+ mediaType: 'Media',
+ sponsor: 'Funding',
+ partner: 'Projectpartner of Open Education Austria Advanced:',
+ searchTooltip: 'How does the search work?',
+ heading: 'Search and find Open Educational Resources (OER)',
+ description1:
+ 'OERhub.at - Search engine for open educational resources from the Austrian higher education sector',
+ description2:
+ '',
+ description3:
+ '',
+ contact: 'Contact',
+ contactContent: [
+ { header: 'Projectmanagement',
+ description: '',
+ person: [ { contact: '<b>Mag. Claudia Hackl, M.A. LIS</b><br>Center for Teaching and Learning<br>University of Vienna<br><a class="green-one" href="mailto:claudia.hackl@univie.ac.at?subject=Info - oerhub.at">claudia.hackl@univie.ac.at</a>' } ]
+ },
+ { header: 'Contact persons of the connected repositories',
+ description: '',
+ person: [
+ { contact: '<b>Priv.-Doz. Dipl.-Ing. Dr.techn. Martin Ebner</b><br>Head of Lehr- und Lerntechnologien<br>Graz University of Technology<br><a class="green-one" href="mailto:martin.ebner@tugraz.at">martin.ebner@tugraz.at</a><br><a class="green-one" href="https://repository.tugraz.at/" target="_extRepo">https://repository.tugraz.at/</a>'},
+ { contact: '<b>DI (FH) Raman Ganguly</b><br>Head of IT-Support for Research<br>University of Vienna<br><a class="green-one" href="mailto:raman.ganguly@univie.ac.at">raman.ganguly@univie.ac.at</a><br><a class="green-one" href="https://phaidra.univie.ac.at/" target="_extRepo">https://phaidra.univie.ac.at/</a>'},
+ { contact: '<b>DI (FH) Ortrun Gröblinger MSc</b><br>Head of Digitale Medien und Lerntechnologien<br>University of Innsbruck<br><a class="green-one" href="mailto:ortrun.groeblinger@uibk.ac.at">ortrun.groeblinger@uibk.ac.at</a><br><a class="green-one" href="https://oer-repo.uibk.ac.at/" target="_extRepo">https://oer-repo.uibk.ac.at/</a>'},
+ { contact: '<b>Mag. Dr. Michael Kopp</b><br>Head of Zentrum für digitales Lehren und Lernen<br>University of Graz<br><a class="green-one" href="mailto:michael.kopp@uni-graz.at">michael.kopp@uni-graz.at</a><br><a class="green-one" href="https://oer-portal.uni-graz.at/" target="_extRepo">https://oer-portal.uni-graz.at/</a>'},
+ { contact: '<b>Mag. Dr. Stefan Pasterk</b><br>Projectlead DigiFit4All<br>University of Klagenfurt<br><a class="green-one" href="mailto:stefan.pasterk@aau.at">stefan.pasterk@aau.at</a><br><a class="green-one" href="https://gecko.aau.at/" target="_extRepo">https://gecko.aau.at/</a>'},
+ { contact: '<b>Lionel Asshauer, BA</b><br>Didactics & Learning Technologies<br>Fachhochschule Salzburg<br><a class="green-one" href="mailto:lionel.asshauer@fh-salzburg.ac.at">lionel.asshauer@fh-salzburg.ac.at</a><br><a class="green-one" href="https://oer.fh-salzburg.ac.at/" target="_extRepo">https://oer.fh-salzburg.ac.at/</a>'},
+ { contact: '<b>Mag. Mag. (FH) Irmgard Fallmann</b><br>Koordination Team MediaLab<br>Abteilung für Lehrentwicklung und Digitale Transformation<br>University for Continuing Education Krems<br><a class="green-one" href="mailto:irmgard.fallmann@donau-uni.ac.at">irmgard.fallmann@donau-uni.ac.at</a><br><a class="green-one" href="https://door.donau-uni.ac.at/" target="_extRepo">https://door.donau-uni.ac.at/</a>'},
+ { contact: '<b>Mag.<sup>a</sup> Carmen Oman</b><br>Didaktikzentrum / Center for Teaching and eLearning<br>FH Kärnten<br><a class="green-one" href="mailto:c.oman@fh-kaernten.at">c.oman@fh-kaernten.at</a><br><a class="green-one" href="https://phaidra.fh-kaernten.at/" target="_extRepo">https://phaidra.fh-kaernten.at/</a>'} ],
+ },
+ { header: 'Technical Support',
+ description: '',
+ person: [ { contact: '<b>Peter Toth</b><br>IT-Support for Research<br>University of Vienna<br><a class="green-one" href="mailto:peter.toth@univie.ac.at?subject=Support - oerhub.at">peter.toth@univie.ac.at</a><br><a class="green-one" href="https://www.oerhub.at/" target="_extRepo">https://www.oerhub.at/</a>' } ]
+ },
+ { header: 'Project „Open Education Austria Advanced”',
+ description: 'The OERhub was developed as part of the “Open Education Austria Advanced” project.<br>During the project period from March 1, 2020 to February 28, 2024, the overall coordination and financial management was carried out by the representative of the project lead:',
+ person: [ { contact: '<b>Mag. Dr. Charlotte Zwiauer</b><br>Head of Center for Teaching and Learning (retired)<br>University of Vienna' } ]
+ }
+ ],
+ disclaimer: 'Disclaimer',
+ disclaimer1: 'Now and Future',
+ disclaimer2: 'It is important to us that you are supported in finding the OER you are looking for. Therefore, in the course of developing the OERhub, we pay special attention to the user-friendly display of the metadata provided to us. We work together with the repositories connected to the OERhub to provide you with the best possible search results.<br><br>Currently connected to the OERhub are the OER repositories of the University of Vienna, University of Graz, University of Innsbruck, Graz University of Technology and the Austrian MOOC platform iMooX and Archivesystem of the Project DigiFit4All.<br><br>In the course of the project, all developments around the OERhub will also be made freely available as open source products.',
+ dataProtection: 'Data Protection',
+ project: 'Project',
+ home: 'Home',
+ faq: 'FAQ',
+ faqContent: [
+ { header: 'The concept of the OERhub',
+ description: [ { subheader: '', text: 'Teaching staff can store and release their OER in one of the connected institutional archive systems according to the owner principle. The OERhub makes these locally stored OER available for broad use beyond their own institution. The centralised OERhub for OER from the higher education sector thus contributes to the national and international visibility of teaching at Austrian universities. Conceptually, a decentralised approach is pursued; the universities continue to bear responsibility for their local infrastructures (production processes, archiving). The OERhub follows the FAIR Data principles and can be easily expanded to include other universities thanks to its modular architecture and open interfaces. With its connection to Austrian universities, the OERhub is also GDPR-compliant in its handling of data.' } ]
+ },
+ { header: 'Principles of the OERhub',
+ description: [ { subheader: '', text: 'In line with the European Open Science Cloud (EOSC) (European Open Science Cloud, 2020) and the international standards for handling research data, the OERhub is based on the FAIR Data principles. Based on these principles for the sustainable use of research data, research data infrastructures are to be implemented as part of the development of their services. The prerequisites for connecting a source system of interested universities to the OERhub are based on these principles, as its technological architecture makes it easy to expand and therefore ‘open for collaboration’ if the technical requirements are met.' } ]
+ },
+
+ { header: 'FAIR principles',
+ description: [ { subheader: '', text: 'The OERhub acts according to the FAIR principles in order to optimise the preparation of findable OER for teachers.<ul class="list-inside list-disc"><li>FINADBLE: OER must be ‘findable’, which means that they are easy to find not only by teachers but also by machines. This is expressed on the one hand in a persistent identifier that makes it possible to find the data set and its metadata, but also in the enrichment of the OER with metadata.</li><li>ACCESSIBLE: OER and their metadata must also be ‘accessible’, whereby it must be ensured that metadata remains available even if the associated OER is no longer available.</li><li>INTEROPERABILITY: The principle of interoperability means that the data found in the OERhub can be combined with other data sets by basing the metadata on a certain schema - in the case of the OERhub, the LOM (Learning Object Metadata) schema is used. Controlled vocabularies are also used.</li><li>RE-USABLE: Furthermore, data must be ‘re-usable’ in order to guarantee the reusability of OER, which is ensured by a detailed description in the metadata, corresponding free usage licences and standards from the respective specialist communities.</li></ul>' } ]
+ },
+ { header: 'Requirements and specifications for connecting a repository to the OERhub',
+ description: [ { subheader: '', text: '<ul class="list-inside list-decimal"><li>The first requirement is that the metadata must be provided to OERHub in the LOM schema. The fields ‘Title’, ‘Author’, ‘Date’ and licence information are mandatory. Information on the discipline - described via the ÖFOS (Statistik Austria, 2017) - and the media type (MIME type) is required so that the OER found can be filtered via the facets. A meaningful description of the didactic embedding of the learning object also increases the quality of the search.</li><li>The second requirement is the persistent link as a reference to a landing page. All relevant information and the download of the teaching/learning object can be found on this page.</li><li>The third requirement is that the object itself must be offered with an open Creative Commons licence.</li></ul>You can download the TwoPager as a summary here: <a href="https://phaidra.univie.ac.at/detail/o:2110159" _target="_extWindow">TwoPager</a>' } ]
+ },
+ { header: 'Interfaces for connecting to the OERhub',
+ description: [ { subheader: '', text: 'The connection for source systems (decentralised university repositories) is possible in different ways due to the open architecture of the OERhub. You can choose between the OAI-PMH interface, the OERhub application programming interfaces (API) and other connectors. As part of the quality control of the metadata transfer, the OERhub offers a validator for the transferred metadata, which is used to check whether the metadata fulfils the formal criteria before it is transferred to the OERhub. If your institution is interested in participating in the OERhub, please contact office@openeducation.at.' } ]
+ }
+ ],
+ resultsFor: 'Results for',
+ itemFrom: 'Viewing',
+ itemTo: 'to',
+ toPress: 'To press',
+ sortBy: 'Sorted by: ',
+ author: 'Authors',
+ uploadDate: 'Uploaded on',
+ updateDate: 'Last updated on',
+ loading: 'One moment please. Your results are loading...',
+ noSearchResults: 'Your search returned no results.',
+ back: 'Back',
+ continue: 'Continue',
+ btnJumpTop: 'Top',
+ btnJumpBottom: 'Bottom',
+ seekDiscipline: 'Seek discipline',
+ seekLearningRT: 'Seek resource',
+ seekLanguage: 'Seek language',
+ reset: 'Reset',
+ save: 'Apply',
+ today: 'Today',
+ lastWeek: 'Last Week',
+ lastMonth: 'Last Month',
+ lastYear: 'Last Year',
+ metaData: 'Metadata',
+ metaDataDescription: 'The following additional information is available for this entry:',
+ report: 'Report entry',
+ reportExplanation: 'Please tell us the reason why you would like to report this entry.',
+ copy: 'Copy link source',
+ entries: 'Entries',
+ titleAsc: 'Title A - Z',
+ titleDesc: 'Title Z - A',
+ uploadDateAsc: 'Upload date: ascending',
+ uploadDateDesc: 'Upload date: descending',
+ scoreAsc: 'Score: ascending',
+ scoreDesc: 'Score: descending',
+ remove: 'Remove',
+ customDate: 'Date period',
+ from: 'From',
+ to: 'To',
+ descriptionLicence: 'CC = Creative Commons, BY = Attribution, NC = Non-Commercial, ND = No Derivatives, SA = Share Alike ---- more Details on the Homepage ',
+ favoriteTooltip: 'Mark as favorite',
+ cancel: 'Cancel',
+ send: 'Send',
+ resetFilters: 'Clear Filters',
+ copied: 'Link source copied',
+ welcomeHead1: 'Welcome!',
+ isAuthorisedHead1: 'Logged in',
+ isAuthorisedDecision: 'Here you ara able to log out or continue with the Search ... ',
+ lnkLogout: 'Log out',
+ lnkSearch: 'Search',
+ askPaswordHead1: 'Log in',
+ askPasswordTxt: 'Please enter your Password ...',
+ hintPassword: 'Password ...',
+ btnPassword: 'Log in',
+ btnReset: 'Remove Search Term',
+ btnSearch: 'Search',
+ descriptionSearch: 'The words in the textfield are used for the search about author, title or description. We use an intelligent search algorithm to get best results. With the use of Filter-boxes you are able to specify more details. ',
+ jsonExport: 'Export as JSON',
+ accessibility: 'Accessibility',
+ accessibilityContent: [
+ { header: 'Declaration of Accessibility',
+ description: 'The oerhub.at project team at the University of Vienna is committed to making its website accessible in accordance with the Web Accessibility Act (WZG) as amended, to implement Directive (EU) 2016/2102 of the European Parliament and the Council of 26 October 2016 on the accessibility of websites and mobile applications of public sector bodies (Official Journal L 327, 2.12.2016, p. 1).<br><br>This accessibility declaration applies to the websites oerhub.at and portal.openeducation.at.'
+ },
+ { header: 'Compliance Status',
+ description: 'The websites are partially compliant with the Web Content Accessibility Guidelines (WCAG) due to the incompatibilities and exceptions outlined below.<br><br>We are working to gradually address the accessibility issues.<br><br>The underlying criteria are based on WCAG 2.1 conformance level AA and the European Standard EN 301 549 V3.1.2 (PDF).<br><br>Section 9.6 of the WCAG conformance requirements in EN 301 549 is not met, as the WCAG 2.1 Level AA standards are only partially fulfilled.',
+ },
+ { header: 'Non-Accessible Content',
+ description: '<ul class="list-inside list-disc"><li>Mobile content displays errors when zoomed beyond 150%.</li><li>Link descriptions are not consistently WCAG-compliant.</li><li>Labels for user interface elements are partially not WCAG-compliant.</li><li>Foreign language text passages are sometimes not marked.</li><li>Certain overlapping areas remain open when navigating with the keyboard and cannot be closed via keyboard commands.</li><li>The search area is not semantically marked.</li></ul>',
+ },
+ { header: 'Content Outside the Scope of Applicable Legal Requirements',
+ description: 'Content from third parties that we do not have control over is exempt from Directive (EU) 2016/2102. No claims can be made regarding compliance with accessibility requirements for such third-party content.',
+ },
+ { header: 'Creation of This Accessibility Declaration',
+ description: 'This declaration was created on April 11, 2023. Last updated: December 1, 2024.<br><br>The compliance of the websites with the Web Accessibility Act to implement the requirements of Directive (EU) 2016/2102 was assessed through an external accessibility audit based on WCAG 2.1 at compliance level AA in October 2024.',
+ },
+ { header: 'Feedback and Contact Information',
+ description: 'The services on this website are continuously improved, updated, and expanded. Usability and accessibility are of utmost importance to us. If you encounter any barriers that hinder your use of this website - issues not described in this declaration or more significant deficiencies concerning accessibility requirements - please inform us via email. We will review your inquiry and contact you as soon as possible. Please send all communications and suggestions to <a href="mailto:office@openeducation.at?subject=accessibility - complaints">office@openeducation.at</a>. Describe the issue and specify the area in question.',
+ },
+ { header: 'Contact',
+ description: 'Mag. Claudia Hackl, M.A. LIS<br>Center for Teaching and Learning (CTL),<br>University of Vienna Universitätsstraße 5, 1010 Vienna<br><a class="green-one" href="mailto:office@openeducation.at?subject=accessibility - complaints">office@openeducation.at</a>',
+ },
+ { header: 'Enforcement Procedure',
+ description: 'If the response from the above-mentioned contact does not satisfy you, you can submit a complaint to the Austrian Research Promotion Agency (FFG). Complaints can be submitted electronically via the contact form: <a class="green-one" href="https://www.ffg.at/form/kontaktformular-beschwerdestelle" target="_extFFG">https://www.ffg.at/form/kontaktformular-beschwerdestelle</a><br><br>The FFG examines complaints to determine whether they relate to violations of the Web Accessibility Act, particularly shortcomings in meeting accessibility requirements by the federal government or associated entities.<br><br>If the complaint is justified, the FFG will issue recommendations and propose measures to the federal government or relevant entities to address the identified issues.<br><br>For more information on the complaints procedure: <a class="green-one" href="https://www.ffg.at/barrierefreiheit/beschwerdestelle" target=_extFFG">https://www.ffg.at/barrierefreiheit/beschwerdestelle</a>',
+ }
+ ],
+ about: 'About',
+ aboutContent: [
+ { header: 'OERhub as a search engine',
+ description: 'The OERhub.at is a search engine for open educational resources (OER) from the Austrian higher education sector. The OER repositories of the following universities are currently connected to the OERhub:<ul class="list-inside list-disc"><li>Graz University of Technology</li><li>University of Graz</li><li>University of Innsbruck</li><li>University of Vienna</li><li>University for Continuing Education Krems</li><li>Salzburg University of Applied Sciences</li><li>FH Kärnten</li></ul>as well as the Austrian MOOC platform iMooX and the archive system of the DigiFit4All project at the University of Klagenfurt.<br><br><b>The OERhub.at</b><br>OER can be searched for and found on www. oerhub.at and then either reused or processed. In this way, the OERhub will create an overarching infrastructure beyond the local technical infrastructures (e.g. online archives such as repositories) in order to make it easier for teachers to find OER from the entire Austrian higher education area.<br>The OERhub as an open source project is available at the following link:<br><br><b>Context of origin: the ‘Open Education Austria Advanced’ project</b><br>The prototype for this search engine was developed as part of the ‘Open Education Austria’ project (2016-2018), which is being continuously developed at the University of Vienna as part of the ‘Open Education Austria Advanced’ project (project duration 01/03/2020-28/02/2024).<br>The aim of the project of Austrian universities was the joint development of a national infrastructure for Open Educational Resources (OER). With the cooperation of service institutions, such as e-learning centres, central IT services and libraries of the partner universities, services were created to support teachers in the creation of OER materials for studying and teaching.',
+ }
+ ],
+ history: 'Version History',
+ historyContent: [
+ { header: '2.1.3',
+ description: 'Fixed:<ul class="list-inside list-disc"><li>Double entries in Language Filter</li></ul>'
+ },
+ { header: '2.1.2',
+ description: 'Upgrades:<ul class="list-inside list-disc"><li>Modifications to the UI text</li></ul>'
+ },
+ { header: '2.1.1',
+ description: 'Upgrades:<ul class="list-inside list-disc"><li>Opensearch 2.18</li></ul><br>Changes:<ul class="list-inside list-disc"><li>Pagination in Search fixed</li><li>Modifications to the UI text</li></ul>'
+ },
+ { header: '2.1.0',
+ description: 'Upgrades:<ul class="list-inside list-disc"><li>Opensearch 2.17</li><li>RabbitMQ 4.0.2</li><li>Images based on Ubuntu Noble</li></ul>'
+ },
+ { header: '2.0.0',
+ description: 'Upgrades:<ul class="list-inside list-disc"><li>Opensearch 2</li><li>Fixed text in UI</li></ul>'
+ },
+ { header: '1.8.0',
+ description: 'Features:<ul class="list-inside list-disc"><li>metaingest make url for index configurable</li><li>text updates in UI</li></ul>'
+ }
+ ],
+ alBtnMarkFavorite: 'Mark Favorite',
+ alNoFavorit: 'No Favorite',
+ alIsFavorit: 'Marked as Favorite',
+ alPaginationBottom: 'Bottom Nav in Results',
+ alPageSelectBottom: 'Bottom Page Selcet',
+ alPaginationTop: 'Top Nav in Results',
+ alPageSelectTop: 'Top Nav Page Select',
+ },
+ de: {
+ favorites: 'Favoriten',
+ search: 'Suche',
+ discipline: 'Disziplin',
+ learningRT: 'Material',
+ language: 'Sprache',
+ licence: 'Lizenz',
+ aboutLicence: 'Über Creative Commons Lizenzen',
+ ccUrl: 'https://creativecommons.org/licenses/?lang=de',
+ moreInfo: 'weitere Informationen',
+ date: 'Datum',
+ source: 'Quelle',
+ imprint: 'Impressum',
+ imprintContent: [
+ { header: 'Betreiberin des OERhub',
+ description: 'Universität Wien<br>Universitätsring 1<br>1010 Wien'
+ },
+ { header: 'Urheberrecht',
+ description: 'Die Inhalte der Website „www.oerhub.at“ sind im World-Wide-Web für den Online-Zugriff veröffentlicht, das Urheberrecht für Texte, Graphiken, Design liegen bei der Universität Wien. Der Quellcode des OERhub ist als Open Source mit Apache 2.0 Lizenz veröffentlicht. Die Erstellung, die Verwendung und die nicht kommerzielle Weitergabe von Kopien in elektronischer oder ausgedruckter Form sind erlaubt, wenn die Quelle angegeben wird.<br><br>Alle gefundenen und angezeigten OER-Objekte aus den angebundenen Repositorien enthalten Angaben zu den jeweiligen Urheber*innen und Lizenzangaben, die zu beachten sind.'
+ },
+ { header: 'Haftung',
+ description: 'Sämtliche Texte auf dem OERhub wurden sorgfältig geprüft. Dessen ungeachtet kann keine Garantie für die Richtigkeit, Vollständigkeit und Aktualität der Angaben übernommen werden. Eine Haftung der Universität Wien wird daher ausgeschlossen.<br><br>Die Haftung für die gefundenen OER-Objekte aus den angebundenen Systemen liegt bei der jeweiligen Quelle. Da die Universität Wien auf deren Inhalt keinen Einfluss hat, übernimmt die Universität Wien dafür keine Verantwortung.'
+ }
+ ],
+ favsDesc: 'Die Favoriten werden als Cookies gespeichert und sind daher nur auf diesem Gerät gesichert. Rufen Sie den OERhub auf einem anderen Gerät auf, können Sie nicht auf Ihre gespeicherten Favoriten zugreifen.',
+ favsNotExist: 'Es sind keine Favoriten auf diesem Gerät gespeichert!',
+ mediaType: 'Medium',
+ sponsor: 'Fördergeber',
+ partner: 'Projektpartner von Open Education Austria Advanced:',
+ searchTooltip: 'Wie funktioniert die Suche?',
+ heading: 'Open Educational Resources (OER) suchen und finden',
+ description1:
+ 'OERhub.at - Suchmaschine für offene Bildungsressourcen aus dem österreichischen Hochschulraum',
+ description2:
+ '',
+ description3:
+ '',
+ contact: 'Kontakt',
+ contactContent: [
+ { header: 'Projektmanagement',
+ description: '',
+ person: [ { contact: '<b>Mag. Claudia Hackl, M.A. LIS</b><br>Center for Teaching and Learning<br>Universität Wien<br><a class="green-one" href="mailto:claudia.hackl@univie.ac.at?subject=Info - oerhub.at">claudia.hackl@univie.ac.at</a>' } ]
+ },
+ { header: 'Ansprechpersonen der angebundenen Repositorien',
+ description: '',
+ person: [
+ { contact: '<b>Priv.-Doz. Dipl.-Ing. Dr.techn. Martin Ebner</b><br>Leiter Lehr- und Lerntechnologien<br>Technische Universität Graz<br><a class="green-one" href="mailto:martin.ebner@tugraz.at">martin.ebner@tugraz.at</a><br><a class="green-one" href="https://repository.tugraz.at/" target="_extRepo">https://repository.tugraz.at/</a>' },
+ { contact: '<b>DI (FH) Raman Ganguly</b><br>Leiter IT-Support for Research<br>Universität Wien<br><a class="green-one" href="mailto:raman.ganguly@univie.ac.at">raman.ganguly@univie.ac.at</a><br><a class="green-one" href="https://phaidra.univie.ac.at/" target="_extRepo">https://phaidra.univie.ac.at/</a>' },
+ { contact: '<b>DI (FH) Ortrun Gröblinger MSc</b><br>Abteilungsleiterin Digitale Medien und Lerntechnologien<br>Universität Innsbruck<br><a class="green-one" href="mailto:ortrun.groeblinger@uibk.ac.at">ortrun.groeblinger@uibk.ac.at</a><br><a class="green-one" href="https://oer-repo.uibk.ac.at/" target="_extRepo">https://oer-repo.uibk.ac.at/</a>' },
+ { contact: '<b>Mag. Dr. Michael Kopp</b><br>Leiter Zentrum für digitales Lehren und Lernen<br>Universität Graz<br><a class="green-one" href="mailto:michael.kopp@uni-graz.at">michael.kopp@uni-graz.at</a><br><a class="green-one" href="https://oer-portal.uni-graz.at/" target="_extRepo">https://oer-portal.uni-graz.at/</a>' },
+ { contact: '<b>Mag. Dr. Stefan Pasterk</b><br>Projektleitung DigiFit4All<br>Universität Klagenfurt<br><a class="green-one" href="mailto:stefan.pasterk@aau.at">stefan.pasterk@aau.at</a><br><a class="green-one" href="https://gecko.aau.at/" target="_extRepo">https://gecko.aau.at/</a>' },
+ { contact: '<b>Lionel Asshauer, BA</b><br>Didactics & Learning Technologies<br>Fachhochschule Salzburg<br><a class="green-one" href="mailto:lionel.asshauer@fh-salzburg.ac.at">lionel.asshauer@fh-salzburg.ac.at</a><br><a class="green-one" href="https://oer.fh-salzburg.ac.at/" target="_extRepo">https://oer.fh-salzburg.ac.at/</a>' },
+ { contact: '<b>Mag. Mag. (FH) Irmgard Fallmann</b><br>Koordination Team MediaLab<br>Abteilung für Lehrentwicklung und Digitale Transformation<br>Universität für Weiterbildung Krems<br><a class="green-one" href="mailto:irmgard.fallmann@donau-uni.ac.at">irmgard.fallmann@donau-uni.ac.at</a><br><a class="green-one" href="https://door.donau-uni.ac.at/" target="_extRepo">https://door.donau-uni.ac.at/</a>' },
+ { contact: '<b>Mag.<sup>a</sup> Carmen Oman</b><br>Didaktikzentrum / Center for Teaching and eLearning<br>FH Kärnten<br><a class="green-one" href="mailto:c.oman@fh-kaernten.at">c.oman@fh-kaernten.at</a><br><a class="green-one" href="https://phaidra.fh-kaernten.at/" target="_extRepo">https://phaidra.fh-kaernten.at/</a>' } ]
+ },
+ { header: 'Technischer Support',
+ description: '',
+ person: [ { contact: '<b>Peter Toth</b><br>IT-Support for Research<br>Universität Wien<br><a class="green-one" href="mailto:peter.toth@univie.ac.at?subject=Support - oerhub.at">peter.toth@univie.ac.at</a><br><a class="green-one" href="https://www.oerhub.at/" target="_extRepo">https://www.oerhub.at/</a>' } ]
+ },
+ { header: 'Projekt „Open Education Austria Advanced”',
+ description: 'Der OERhub wurde im Rahmen des Projekts „Open Education Austria Advanced“ entwickelt.<br>Während der Projektlaufzeit 1.3.2020 bis 28.02.2024 lag die Gesamtkoordination und Finanzgebarung als Vertreterin des Projektleads bei:',
+ person: [ { contact: '<b>Mag. Dr. Charlotte Zwiauer</b><br>Leiterin Center for Teaching and Learning<br>(seit 1.4.2024 in Ruhestand)<br>Universität Wien' } ]
+ }
+ ],
+ disclaimer: 'Disclaimer',
+ disclaimer1: 'Aktuell und Zukunft',
+ disclaimer2: 'Uns ist es wichtig, dass Sie schnell jene OER finden, nach denen Sie suchen. Deshalb achten wir im Zuge der Entwicklung des OERhub besonders auf die User*innen-freundliche Anzeige der uns gelieferten Metadaten. Hierbei arbeiten wir mit den an den OERhub angebundenen Repositorien zusammen, um Ihnen das bestmögliche Suchergebnis zu liefern.<br><br>Aktuell an den OERhub angebunden sind die OER-Repositorien der Universität Wien, Universität Graz, Univeristät Innsbruck, Technischen Universität Graz sowie die österreichische MOOC-Plattform iMooX und das Archivsystem des Projektes DigiFit4All.<br><br>Im Laufe des Projekts werden zudem alle Entwicklungen rund um den OERhub als Open Source Produkte frei zur Verfügung gestellt.',
+ dataProtection: 'Datenschutz',
+ project: 'Projekt',
+ home: 'Home',
+ faq: 'FAQ',
+ faqContent: [
+ { header: 'Das Konzept des OERhub',
+ description: [ { subheader: '', text: 'Lehrende können nach dem Ownerprinzip in einem der angebundenen institutionellen Archivsysteme ihre OER ablegen und freigeben. Durch den OERhub werden diese lokal gespeicherten OER für die breite Nutzung über die eigene Institution hinaus erschlossen. Damit trägt der zentrale OERhub für OER aus dem Hochschulbereich zur nationalen, aber auch internationalen Sichtbarkeit der Lehre österreichischer Hochschulen bei. Konzeptionell wird ein dezentraler Ansatz verfolgt, die Hochschulen tragen weiterhin Verantwortung für ihre lokalen Infrastrukturen (Produktionsabläufe, Archivierung). Der OERhub folgt den FAIR Data Prinzipien und kann auf Grund seiner modularen Architektur und offenen Schnittstellen leicht um weitere Hochschulen erweitert werden. Der OERhub ist mit seiner Anbindung an österreichische Universitäten auch DSGVO-konform im Umgang mit Daten.' } ]
+ },
+ { header: 'Grundsätze des OERhubs',
+ description: [ { subheader: '', text: 'In Anlehnung an die European Open Science Cloud (EOSC) (European Open Science Cloud, 2020) und die internationalen Standards bezüglich Handhabung von Forschungsdaten orientiert sich der OERhub an den FAIR Data-Prinzipien. Auf Basis dieser Grundsätze für die nachhaltige Nutzung von Forschungsdaten sollen Forschungsdateninfrastrukturen im Rahmen der Entwicklung ihrer Services implementiert werden. Auf diesen Prinzipien basieren die Voraussetzungen für die Anbindung eines Quellsystems interessierter Hochschulen an den OERhub, da dieser aufgrund seiner technologischen Architektur leicht erweiterbar und somit «open for collaboration» bei entsprechender technischer Überlieferung der Voraussetzungen ist.' } ]
+ },
+ { header: 'FAIR Prinzipien',
+ description: [ { subheader: '', text: 'Der OERhub handelt nach den FAIR Prinzipien, um die optimale Aufbereitung der auffindbaren OER für Lehrende zu ermöglichen.<ul class="list-inside list-disc"><li>FINADBLE: OER müssen «findable» sein, was bedeutet, dass diese nicht nur von Lehrenden, sondern auch von Maschinen leicht zu finden sind. Dies äußert sich einerseits in einem persistent identifier, der es erlaubt, den Datensatz und dessen Metadaten zu finden, aber auch in der Anreicherung der OER mit Metadaten.</li><li>ACCESSIBLE: Ebenso müssen OER und ihre Metadaten «accessible» sein, wobei zu beachten ist, dass Metadaten auch noch verfügbar bleiben, wenn die zugehörige OER nicht mehr vorhanden sein sollte.</li><li>INTEROPERABILE: Der Grundsatz der «interoperability» bedeutet, dass die im OERhub gefundenen Daten mit anderen Datensätzen kombiniert werden können, indem sich die Metadaten an einem gewissen Schema orientieren - im Falle des OERhub wird das LOM (Learning Object Metadata)-Schema verwendet. Ebenfalls wird mit kontrollierten Vokabularen gearbeitet.</li><li>RE-USABLE: Weiters müssen Daten «re-usable» sein, um die Wiederverwendbarkeit der OER zu gewährleisten, welche durch eine detaillierte Beschreibung in den Metadaten, entsprechende freie Nutzungslizenzen und Standards aus den jeweiligen Fachcommunitys gegeben ist.</li></ul>' } ]
+ },
+ { header: 'Voraussetzungen und Vorgaben für eine Anbindung eines Repositoriums an den OERhub',
+ description: [ { subheader: '', text: '<ul class="list-inside list-decimal"><li>Als erste Voraussetzung müssen die Metadaten im LOM-Schema an den OERHub geliefert werden. Dabei sind die Felder «Titel», «Autor*in», «Datum» und die Information zur Lizenz Pflicht. Damit gefundene OER über die Facetten gefiltert werden können, braucht es Informationen über die Disziplin - beschrieben über die ÖFOS (Statistik Austria, 2017) - und den Medientypen (MIME-Type). Eine aussagekräftige Beschreibung der didaktischen Einbettung des Lernobjekts erhöht zusätzlich die Qualität der Suche.</li><li>Die zweite Voraussetzung stellt der persistente Link als Verweis auf eine Landingpage dar. Auf dieser sind alle relevanten Information und der Download des Lehr-/Lernobjekts zu finden.</li><li>Als dritte Voraussetzung muss das Objekt selbst mit einer offenen Creative Commons Lizenz angeboten werden.</li></ul>Den TwoPager als Zusammenfassung finden Sie zum Download hier: <a class="green-one" href="https://phaidra.univie.ac.at/detail/o:2110159" target="_extWindow">TwoPager</a>' } ]
+ },
+ { header: 'Schnittstellen für die Anbindung an den OERhub',
+ description: [ { subheader: '', text: 'Die Anbindung für Quellsysteme (dezentrale Hochschulrepositorien) ist aufgrund der offenen Architektur des OERhub auf unterschiedliche Arten möglich. Es kann hier zwischen der OAI-PMH-Schnittstelle, der Application Programming Interfaces (API) des OERhub und weiteren Conntectoren frei gewählt werden. Im Rahmen der Qualitätskontrolle der Metadaten-Übertragung bietet der OERhub einen Validator für die übermittelten Metadaten an, mit dem vor der Übertragung dieser an den OERhub geprüft werden, ob die Metadaten die formalen Kriterien erfüllen. Wenn Ihre Institution Interesse an der Teilhabe am OERhub hat, wenden Sie sich bitte an office@openeducation.at.' } ]
+ }
+ ],
+ resultsFor: 'Ergebnisse für',
+ itemFrom: 'Zeige',
+ itemTo: 'bis',
+ toPress: 'Drucken',
+ sortBy: 'Sortiert nach: ',
+ author: 'Autor*in',
+ uploadDate: 'Hochgeladen am',
+ updateDate: 'Zuletzt aktualisiert am',
+ loading: 'Einen Moment bitte. Ihre Ergebnisse werden geladen…',
+ noSearchResults: 'Ihre Suche ergab leider keine Treffer.',
+ back: 'Zurück',
+ continue: 'Weiter',
+ btnJumpTop: 'Oben',
+ btnJumpBottom: 'Ende',
+ seekDiscipline: 'Disziplin suchen',
+ seekLearningRT: 'Material suchen',
+ seekLanguage: 'Sprache suchen',
+ reset: 'Zurücksetzen',
+ save: 'Anwenden',
+ today: 'Heute',
+ lastWeek: 'Letzte Woche',
+ lastMonth: 'Letzter Monat',
+ lastYear: 'Letztes Jahr',
+ metaData: 'Metadaten',
+ metaDataDescription: 'Zu diesem Eintrag gibt es folgende zusätzlichen Informationen:',
+ report: 'Eintrag melden',
+ reportExplanation: 'Bitte nennen Sie uns den Grund, warum Sie diesen Eintrag melden möchten.',
+ copy: 'Link Quelle kopieren',
+ entries: 'Einträge',
+ titleAsc: 'Titel A - Z',
+ titleDesc: 'Titel Z - A',
+ uploadDateAsc: 'Uploaddatum: aufsteigend',
+ uploadDateDesc: 'Uploaddatum: absteigend',
+ scoreAsc: 'Relevanz: aufsteigend',
+ scoreDesc: 'Relevanz: absteigend',
+ remove: 'Entfernen',
+ customDate: 'Zeitraum',
+ from: 'Von',
+ to: 'Bis',
+ descriptionLicence: 'CC = Creative Commons, BY = Namensnennnung, NC = Nicht kommerziell, ND = keine Bearbeitung, SA = Weitergabe unter gleichen Bedingungen',
+ favoriteTooltip: 'Favorit markieren',
+ cancel: 'Abbrechen',
+ send: 'Abschicken',
+ resetFilters: 'Filter löschen',
+ copied: 'Link Quelle kopiert',
+ welcomeHead1: 'Willkommen!',
+ isAuthorisedHead1: 'Sie sind erfolgreich Angemeldet',
+ isAuthorisedDecision: 'Hier können Sie sich ausloggen oder zur Suche... ',
+ lnkLogout: 'Log out',
+ lnkSearch: 'Zur Suche',
+ askPaswordHead1: 'Log in',
+ askPasswordTxt: 'Bitte das Passwort ...',
+ hintPassword: 'Passwort ...',
+ btnPassword: 'Log in',
+ btnReset: 'Entferne Suchbegriff',
+ btnSearch: 'Suchen',
+ descriptionSearch: 'Die eingegebenen Wörter im Textfeld suchen nach Autor, Titel oder Beschreibung. Die gefundenen Resultate können im Anschluss über die Filter-Boxen verfeinert werden. ',
+ jsonExport: 'Export als JSON',
+ accessibility: 'Barrierefreiheit',
+ accessibilityContent: [
+ { header: 'Erklärung zur Barrierefreiheit',
+ description: 'Das oerhub.at-Projektteam der Universität Wien ist bemüht, ihre Website im Einklang mit dem Web-Zugänglichkeits-Gesetz (WZG) idgF zur Umsetzung der Richtlinie (EU) 2016/2102 des Europäischen Parlaments und des Rates vom 26. Oktober 2016 über den barrierefreien Zugang zu den Websites und mobilen Anwendungen öffentlicher Stellen (Amtsblatt L 327 vom 2.12.2016, S. 1) barrierefrei zugänglich zu machen.<br><br>Diese Erklärung zur Barrierefreiheit gilt für die Website oerhub.at und portal.openeducation.at.',
+ },
+ { header: 'Stand der Vereinbarkeit mit den Anforderungen',
+ description: 'Die Websites sind wegen der im Folgenden dargelegten Unvereinbarkeiten und Ausnahmen teilweise mit den Richtlinien für barrierefreie Webinhalte vereinbar.<br><br>Wir planen die Mängel der Barrierefreiheit sukzessive zu beheben.<br><br>Die zugrundeliegenden Kriterien basieren auf WCAG 2.1 Konformitätsstufe AA bzw. dem Europäischen Standard EN 301 549 V3.1.2 (PDF).<br><br>Punkt 9.6 WCAG Konformitätsanforderungen der EN 301 549 ist nicht erfüllt, da die WCAG 2.1 Level AA nur teilweise erfüllt sind.',
+ },
+ { header: 'Nicht barrierefreie Inhalte',
+ description: '<ul class="list-inside list-disc"><li>Mobile Inhalte werden bei Vergrößerung ab 150% zum Teil fehlerhaft dargestellt</li><li>Link-Beschreibungen sind nicht durchgängig WCAG konform</li><li>Beschriftungen von User Interface Elementen sind zum Teil nicht WCAG konform</li><li>Fremdsprachige Textpassagen sind zum Teil nicht gekennzeichnet</li><li>Bestimmte überlagernde Bereiche bleiben geöffnet, wenn der Tastaturfokus weiter bewegt wird und können nicht per Tastatur geschlossen werden</li><li>Der Suchbereich ist nicht semantisch markiert</li></ul>',
+ },
+ { header: 'Folgende Inhalte fallen nicht in den Anwendungsbereich der anwendbaren Rechtsvorschriften',
+ description: 'Inhalte von Dritten, die nicht in unserem Einflussbereich liegen, sind von der Richtlinie (EU) 2016/2102 ausgenommen. Für diese Inhalte Dritter kann bezüglich der Vereinbarkeit mit den Barrierefreiheitsbestimmungen keine Aussage getroffen werden.',
+ },
+ { header: 'Erstellung dieser Erklärung zur Barrierefreiheit',
+ description: 'Diese Erklärung wurde am 11. April 2023 erstellt. Letzte Aktualisierung: 1. Dezember 2024.<br><br>Die Bewertung der Vereinbarkeit der Websites mit dem Webzugänglichkeitsgesetz zur Umsetzung der Anforderungen der Richtlinie (EU) 2016/2102 erfolgte in Form eines externen Accessibility Audits nach WCAG 2.1 im Konformitätslevel AA im Oktober 2024.',
+ },
+ { header: 'Feedback und Kontaktangaben',
+ description: 'Das Service auf dieser Website wird laufend verbessert, ausgetauscht und ausgebaut. Dabei ist uns die Bedienbarkeit und Zugänglichkeit ein großes Anliegen.<br><br>Wenn Ihnen Barrieren auffallen, die Sie an der Benutzung dieser Website hindert - Probleme, die in dieser Erklärung nicht beschrieben sind, oder schwerer wiegende Mängel in Bezug auf die Einhaltung der Barrierefreiheitsanforderungen -, so bitten wir Sie, uns diese per E-Mail mitzuteilen.<br><br>Wir werden Ihre Anfrage prüfen und Sie ehestmöglich kontaktieren.<br><br>Bitte senden Sie sämtliche Mitteilungen und Anregungen an <a class="green-one" href="mailto:office@openeducation.at?subject=barrierefreiheit - beschwerdestelle">office@openeducation.at</a>. Beschreiben Sie das Problem und führen Sie bitte den Bereich an.',
+ },
+ { header: 'Kontakt',
+ description: 'Mag. Claudia Hackl, M.A. LIS<br>Center for Teaching and Learning (CTL)<br>Universität Wien Universitätsstraße 5, 1010 Wien<br><a class="green-one" href="mailto:office@openeducation.at?subject=barrierefreiheit - beschwerdestelle">office@openeducation.at</a>',
+ },
+ { header: 'Durchsetzungsverfahren',
+ description: 'Bei nicht zufriedenstellenden Antworten aus oben genannter Kontaktmöglichkeit können Sie sich mittels Beschwerde an die Österreichische Forschungsförderungsgesellschaft mbH (FFG) wenden. Die FFG nimmt über das Kontaktformular Beschwerden auf elektronischem Weg entgegen.<br>Kontaktformular der Beschwerdestelle <a class="green-one" href="https://www.ffg.at/form/kontaktformular-beschwerdestelle" target="_extFFG">https://www.ffg.at/form/kontaktformular-beschwerdestelle</a><br><br>Diese Beschwerden werden von der FFG dahingehend geprüft, ob sie sich auf Verstöße gegen die Vorgaben des Web-Zugänglichkeits-Gesetzes, insbesondere Mängel bei der Einhaltung der Barrierefreiheitsanforderungen, durch den Bund oder einer ihn zuordenbaren Einrichtung beziehen.<br><br>Sofern die Beschwerde berechtigt ist, hat die FFG dem Bund oder den betroffenen Rechtsträgern Handlungsempfehlungen auszusprechen und Maßnahmen vorzuschlagen, die der Beseitigung der vorliegenden Mängel dienen.<br><br>Weitere Informationen zum Beschwerdeverfahren <a class="green-one" href="https://www.ffg.at/barrierefreiheit/beschwerdestelle" target=_extFFG">https://www.ffg.at/barrierefreiheit/beschwerdestelle</a>',
+ }
+ ],
+ about: 'Über',
+ aboutContent: [
+ { header: 'OERhub als Suchmaschine',
+ description: 'Der OERhub.at ist eine Suchmaschine für offene Bildungsressourcen - Open Educational Resources (OER) - aus dem österreichischen Hochschulraum.<br>Aktuell an den OERhub angebunden sind die OER-Repositorien folgender Hochschulen:<ul class="list-inside list-disc"><li>Technischen Universität Graz</li><li>Universität Graz</li><li>Universität Innsbruck</li><li>Universität Wien</li><li>Universität für Weiterbildung Krems</li><li>Fachhochschule Salzburg</li><li>Fachhochschule Kärnten</li>sowie die österreichische MOOC-Plattform iMooX und das Archivsystem des Projektes DigiFit4All an der Universität Klagenfurt.<br><br><b>Der OERhub.at</b><br>OER können auf www. oerhub.at gesucht und gefunden werden, um daraufhin entweder wiederverwendet/ verarbeitet zu werden. So wird über die lokalen technischen Infrastrukturen (z. B. Online-Archive wie Repositorien) hinweg mit dem OERhub eine übergreifende Infrastruktur aufgebaut, um für Lehrende die Auffindbarkeit von OER aus dem gesamten österreichischen Hochschulraum zu erleichtern.<br>Der OERhub als Open Source Projekt ist unter folgendem Link verfügbar:<br><br><b>Entstehungskontext: das Projekt „Open Education Austria Advanced“</b><br>Im Rahmen des Projekts „Open Education Austria“ (2016-2018) wurde der Prototyp für diese Suchmaschine entwickelt, welcher im Kontext des Projekts „Open Education Austria Advanced“ (Projektlaufzeit 01.03.2020-28.02.2024) an der Universität Wien stetig weiterentwickelt wird.<br>Ziel des Projekts österreichischer Universitäten war die gemeinsame Entwicklung einer nationalen Infrastruktur für Open Educational Resources (OER). Unter der Zusammenarbeit von Dienstleistungseinrichtungen, wie E-Learning-Zentren, Zentralen Informatikdiensten und Bibliotheken der Partneruniversitäten, wurden Services geschaffen, um Lehrende bei der Erstellung von OER-Materialien für Selbststudium und Lehre zu unterstützen.'
+ }
+ ],
+ history: 'Versionshistorie',
+ historyContent: [
+ { header: '2.1.3',
+ description: 'Änderungen:<ul class="list-inside list-disc"><li>Doppelte Auflistung in Facette Sprache behoben</li></ul>'
+ },
+ { header: '2.1.2',
+ description: 'Änderungen:<ul class="list-inside list-disc"><li>Textanpassung in UI</li></ul>'
+ },
+ { header: '2.1.1',
+ description: 'Aktualisierungen:<ul class="list-inside list-disc"><li>Opensearch 2.18</li></ul><br>Änderungen:<ul class="list-inside list-disc"><li>Pagination in Suche verbessert</li><li>Textanpassung in UI</li></ul>'
+ },
+ { header: '2.1.0',
+ description: 'Aktualisierungen:<ul class="list-inside list-disc"><li>Opensearch 2.17</li><li>RabbitMQ 4.0.2</li><li>Images basieren auf Ubuntu Noble</li></ul>'
+ },
+ { header: '2.0.0',
+ description: 'Aktualisierungen:<ul class="list-inside list-disc"><li>Opensearch 2</li><li>Text in UI</li></ul>'
+ },
+ { header: '1.8.0',
+ description: 'Erweiterungen:<ul class="list-inside list-disc"><li>URI Konfiguration für Indexbefüllung bei metaingest</li><li>Textanpassung in UI</li></ul>'
+ }
+ ],
+ alBtnMarkFavorite: 'Markiere als Favorit',
+ alNoFavorit: 'kein Favorit',
+ alIsFavorit: 'markiert als Favorit',
+ alPaginationBottom: 'Navigation in Resultaten unten',
+ alPageSelectBottom: 'Seitenauswahl unten',
+ alPaginationTop: 'Navigation in Resultaten open',
+ alPageSelectTop: 'Seitenauswahl oben',
+ },
+ },
+ },
+ },
+}
diff --git a/oeaplatform/frontend/client/package.json b/oeaplatform/frontend/client/package.json
new file mode 100644
index 0000000000000000000000000000000000000000..90f83f0b6e78c197ba6911d11d7405cce93b1062
--- /dev/null
+++ b/oeaplatform/frontend/client/package.json
@@ -0,0 +1,43 @@
+{
+ "name": "client",
+ "version": "2.1.3",
+ "private": true,
+ "license": "MIT",
+ "scripts": {
+ "dev": "nuxt",
+ "build": "nuxt build",
+ "start": "nuxt start",
+ "generate": "nuxt generate",
+ "lint:js": "eslint --ext \".js,.vue\" --ignore-path .gitignore .",
+ "lint": "yarn lint:js",
+ "test": "jest"
+ },
+ "dependencies": {
+ "@fortawesome/fontawesome-svg-core": "1.2.36",
+ "@fortawesome/vue-fontawesome": "^2.0.10",
+ "@nuxt/typescript-build": "^3.0.2",
+ "@nuxtjs/axios": "^5.13.6",
+ "consola": "^3.4.0",
+ "cssnano": "^6.1.2",
+ "nuxt": "^2.18.1",
+ "nuxt-fontawesome": "^0.4.0",
+ "nuxt-i18n": "^6.28.1",
+ "nuxt-password-protect": "^1.3.1",
+ "postcss": "^8.5.1",
+ "prettier": "^3.4.2",
+ "typescript": "4.9.5",
+ "vue": "^2.7.16",
+ "vue-matomo": "^4.2.0",
+ "vue2-datepicker": "^3.11.1",
+ "vuex": "^3.6.2",
+ "webpack": "^4.47.0"
+ },
+ "devDependencies": {
+ "@fortawesome/free-brands-svg-icons": "^5.15.4",
+ "@fortawesome/free-regular-svg-icons": "^5.15.4",
+ "@fortawesome/free-solid-svg-icons": "^5.15.4",
+ "@nuxt/types": "2.18.1",
+ "@nuxtjs/fontawesome": "^1.1.2",
+ "@nuxtjs/tailwindcss": "^6.13.1"
+ }
+}
diff --git a/oeaplatform/frontend/client/pages/FAQ/index.vue b/oeaplatform/frontend/client/pages/FAQ/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..e122862b6be3abc37fdba1dfa0e6fd08de6e524b
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/FAQ/index.vue
@@ -0,0 +1,46 @@
+<template>
+ <div class="phone-wrapper inner-wrapper min-width flex-col mb-20 px-2 lg:px-6">
+ <h1 class="font-36 mt-6 mb-6">FAQ</h1>
+ <div v-for="(content, index) in $t('faqContent')" class="mb-3">
+ <div
+ :class="['w-full', 'second-grey', 'padding', 'flex', 'cursor-pointer', section === index ? 'active-section' : 'inactive-section']"
+ @click="handleSection(index)">
+ <h3 class="font-20">{{ content.header }}</h3>
+ <icon v-if="section === index" icon="chevron-up" class="ml-auto" />
+ <icon v-if="section !== index" icon="chevron-down" class="ml-auto" />
+ </div>
+ <div v-if="section === index" class="p-10 bg-white slide-animation faq-border">
+ <div v-for="description in content.description" class="mb-3">
+ <h3 v-if="description.subheader.length > 0" class="font-18 mb-2 mt-4">{{ description.subheader }}</h3>
+ <p v-if="description.text.length > 0" class="light" v-html="description.text"></p>
+ </div>
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+
+export default Vue.extend({
+ data() {
+ return {
+ section: 0,
+ }
+ },
+ methods: {
+ handleSection(section) {
+ if (this.section === section) this.section = -1
+ else this.section = section
+ },
+ },
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - FAQ',
+ description:
+ 'FAQ',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/about/index.vue b/oeaplatform/frontend/client/pages/about/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..4ef54776fef98d6c84f5173073d7736e9d149177
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/about/index.vue
@@ -0,0 +1,35 @@
+<template>
+ <div class="phone-wrapper inner-wrapper min-width flex-col mb-20 px-2 lg:px-6">
+ <h1 class="font-36 mt-6 mb-6">{{ $t('about') }}</h1>
+ <div v-for="content in $t('aboutContent')" class="mb-6">
+ <h2 v-if="content.header.length > 0" class="font-24 mb-3" v-html="content.header"></h2>
+ <p v-if="content.description.length > 0" v-html="content.description"></p>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+
+export default Vue.extend({
+ data() {
+ return {
+ section: 1,
+ }
+ },
+ methods: {
+ handleSection(section) {
+ if (this.section === section) this.section = -1
+ else this.section = section
+ },
+ },
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - About',
+ description:
+ 'About',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/accessibility/index.vue b/oeaplatform/frontend/client/pages/accessibility/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..604e2d3a7212dcbdda2f29fecda73569c7850df1
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/accessibility/index.vue
@@ -0,0 +1,35 @@
+<template>
+ <div class="phone-wrapper inner-wrapper min-width flex-col mb-20 px-2 lg:px-6">
+ <h1 class="font-36 mt-6 mb-6">{{ $t('accessibility') }}</h1>
+ <div v-for="content in $t('accessibilityContent')" class="mb-6">
+ <h2 v-if="content.header.length > 0" class="font-24 mb-3" v-html="content.header"></h2>
+ <p v-if="content.description.length > 0" v-html="content.description"></p>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+
+export default Vue.extend({
+ data() {
+ return {
+ section: 1,
+ }
+ },
+ methods: {
+ handleSection(section) {
+ if (this.section === section) this.section = -1
+ else this.section = section
+ },
+ },
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - Accessibility',
+ description:
+ 'Accessibility',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/author/_name/index.vue b/oeaplatform/frontend/client/pages/author/_name/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..b4f9482f799d3bc8bc61731fa884e15a735ee458
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/author/_name/index.vue
@@ -0,0 +1,174 @@
+<template>
+ <div class="flex flex-col phone-wrapper justify-center items-center w-full lg:author-wrapper px-0 min-width">
+ <Spinner v-if="isLoading" />
+ <div v-if="!isLoading" class="w-full max-w-7xl">
+ <div class="flex justify-start w-full items-center mt-2 mb-6 lg:mb-10 lg:mt-0 px-8">
+ <div tabindex="0" class="secondary-button" @click="navigateBack" @keyup.enter="navigateBack">
+ <icon class="mr-2" icon="chevron-left" /> {{ $t('back') }}
+ </div>
+ </div>
+ <div class="flex flex-col items-start w-full result-border px-8">
+ <h1 class="text-4xl main-black">{{ name }}</h1>
+ <p class="text-2xl main-black mb-8 mt-2">{{ numOfResults }} {{ $t('entries') }}</p>
+ </div>
+ <zuiPaginationTop v-if="isLoaded" :name="name" :numOfResults="numOfResults" :currentPage="currentPage"
+ :formatedPages="formatedDottedPages" :numOfPages="numOfPages" @currentPageEmit="curPageEmit($event)"
+ :currentSize="size" @currentSizeEmit="curSizeEmit($event)" />
+ <div class="flex flex-col items-center justify-center w-full">
+ <SearchResultBox v-for="result in results" :id="result._id" :key="result._id" :title="result._source.oea_title"
+ :description="result._source.oea_abstract" :authors="result._source.oea_authors"
+ :created-at="result._source.oea_classification_03" :link="result._source.oea_object_direct_link"
+ :thumbnailUrl="result._source.oea_thumbnail_url" :source="result._index"
+ :type="result._source.oea_classification_05" :licence="result._source.oea_classification_02"
+ :disciplineList="result._source.oea_classification_01" :learningRTList="result._source.oea_classification_04"
+ :languageList="result._source.oea_classification_06" />
+ </div>
+ <zuiPaginationBottom v-if="isLoaded" :name="name" :numOfResults="numOfResults" :currentPage="currentPage"
+ :formatedPages="formatedDottedPages" :numOfPages="numOfPages" @currentPageEmit="curPageEmit($event)"
+ :currentSize="size" @currentSizeEmit="curSizeEmit($event)" />
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+import { mapState, mapMutations } from 'vuex'
+import httpRequest from '~/utils/HTTPRequest'
+import SearchResultBox from '~/components/SearchResultBox'
+import Spinner from '~/components/Spinner.vue'
+import zuiPaginationBottom from '~/components/Pagination/zuiPaginationBottom'
+import zuiPaginationTop from '~/components/Pagination/zuiPaginationTop'
+
+export default Vue.extend({
+ components: {
+ SearchResultBox,
+ Spinner,
+ zuiPaginationBottom,
+ zuiPaginationTop
+ },
+
+ data() {
+ return {
+ name: '',
+ numOfResults: 0,
+ numOfPages: 0,
+ isLoading: true,
+ formatedDottedPages: []
+ }
+ },
+
+ computed: {
+ ...mapState({
+ size: (state) => state.size,
+ currentPage: (state) => state.currentPage,
+ results: (state) => state.results
+ }),
+ },
+
+ methods: {
+ ...mapMutations({
+ changeResults: 'changeResults',
+ changeCurrentPage: 'changeCurrentPage',
+ changeSize: 'changeSize'
+ }),
+ navigateBack() {
+ this.$router.back()
+ },
+
+ calculateNumberOfPages(hits, size) {
+ let nOP = Math.ceil(hits / size)
+ return nOP
+ },
+
+ dottedPages(last, current) {
+ const delta = 2
+ const left = current - delta + 1
+ const right = current + delta + 1
+ const range = []
+ const rangeWithDots = []
+ let l
+
+ for (let i = 1; i <= last; i++) {
+ if (i === 1 || i === last || (i >= left && i < right)) {
+ range.push(i)
+ }
+ }
+
+ for (const i of range) {
+ if (l) {
+ if (i - l === 2) {
+ rangeWithDots.push(l + 1)
+ } else if (i - l !== 1) {
+ rangeWithDots.push('...')
+ }
+ }
+ rangeWithDots.push(i)
+ l = i
+ }
+
+ return rangeWithDots
+ },
+
+ async curPageEmit(page) {
+ this.isLoaded = false
+ this.isLoading = true
+ this.changeCurrentPage(page)
+
+ const resp = await httpRequest.get(`/search/author/${this.name}/${this.size}/${page}`)
+
+ this.changeResults(resp.data.data.hits.hits)
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.isLoaded = true
+ this.isLoading = false
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+ },
+
+
+ async curSizeEmit(size) {
+ this.isLoaded = false
+ this.isLoading = true
+ this.changeSize(size)
+ this.changeCurrentPage(0)
+
+ const resp = await httpRequest.get(`/search/author/${this.name}/${size}/${this.currentPage}`)
+
+ this.changeResults(resp.data.data.hits.hits)
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.isLoaded = true
+ this.isLoading = false
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+ },
+ },
+
+ async created() {
+ const { name } = this.$route.params
+ const start = 0
+ this.changeCurrentPage(0)
+ this.changeSize(10)
+
+ const formatedName = name.replace(/_/g, ' ')
+ const resp = await httpRequest.get(`/search/author/${name}/${this.size}/${this.currentPage}`)
+
+ this.name = formatedName
+ this.changeResults(resp.data.data.hits.hits)
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.isLoaded = true
+ this.isLoading = false
+ },
+
+ head() {
+ return {
+ // eslint-disable-next-line camelcase
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: this.$route.params.name || '',
+ description: this.$route.params.name || '',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/contact/index.vue b/oeaplatform/frontend/client/pages/contact/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..2316f117fbe478ee4a33021786241c2dd26adf9a
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/contact/index.vue
@@ -0,0 +1,38 @@
+<template>
+ <div class="phone-wrapper inner-wrapper min-width flex-col mb-20 px-2 lg:px-6">
+ <h1 class="font-36 mt-6 mb-6">{{ $t('contact') }}</h1>
+ <div v-for="content in $t('contactContent')" class="mb-6">
+ <h2 v-if="content.header.length > 0" class="font-24 mb-3" v-html="content.header"></h2>
+ <p v-if="content.description.length > 0" v-html="content.description"></p>
+ <div class="grid grid-cols-1 lg:grid-cols-3 2xl:grid-cols-5 gap-4">
+ <div v-for="person in content.person" v-html="person.contact"></div>
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+
+export default Vue.extend({
+ data() {
+ return {
+ section: 1,
+ }
+ },
+ methods: {
+ handleSection(section) {
+ if (this.section === section) this.section = -1
+ else this.section = section
+ },
+ },
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - Contact',
+ description:
+ 'Unsere Adresse.',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/disclaimer/index.vue b/oeaplatform/frontend/client/pages/disclaimer/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..b566171339371acac9e36705b56cb05d55403b12
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/disclaimer/index.vue
@@ -0,0 +1,35 @@
+<template>
+ <div class="phone-wrapper inner-wrapper min-width flex-col mb-20 px-2 lg:px-6">
+ <h1 class="font-36 mt-6 mb-6">{{ $t('disclaimer') }}</h1>
+ <div class="mb-6">
+ <h2 class="font-24 mb-3" v-html="$t('disclaimer1')"></h2>
+ <p v-html="$t('disclaimer2')"></p>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+
+export default Vue.extend({
+ data() {
+ return {
+ section: 1,
+ }
+ },
+ methods: {
+ handleSection(section) {
+ if (this.section === section) this.section = -1
+ else this.section = section
+ },
+ },
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - Disclaimer',
+ description:
+ 'Disclaimer',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/document/_id/index.vue b/oeaplatform/frontend/client/pages/document/_id/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..f73b9979281d1bdee3d49167ca25a72062cbc90b
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/document/_id/index.vue
@@ -0,0 +1,167 @@
+<template>
+ <div class="flex flex-col phone-wrapper justify-center items-center w-full px-2 lg:px-6 min-width">
+ <div class="w-full lg:max-w-7xl">
+ <div v-if="documentData && isLoaded" class="flex justify-start w-full items-center mb-6 lg:mb-10">
+ <button class="secondary-button" @click="navigateBack" @keyup.enter="navigateBack"><icon class="mr-2" icon="chevron-left" /> {{ $t('back') }}</button>
+ <div class="flex ml-auto items-center">
+ <div v-if="isMobile" tabindex="0" class="cursor-pointer" @click="handleShare" @keyup.enter="handleShare">
+ <icon class="green-one text-3xl cursor-pointer mr-8" icon="share-alt" />
+ </div>
+ <div class="cursor-pointer" @mouseenter="handleFavoriteTooltip(true)" @mouseleave="handleFavoriteTooltip(false)">
+ <FavoriteTooltip v-if="favoriteTooltip" />
+ <button @click="handleFavorites" :aria-label="$t('alBtnMarkFavorite')">
+ <icon v-if="!isFavorite()" class="green-one text-xl cursor-pointer" :icon="['far', 'star']" :aria-label="$t('alNoFavorit')"/>
+ <span v-if="!isFavorite()" class="sr-only">{{ $t('alNoFavorit') }}</span>
+ <icon v-if="isFavorite()" class="green-one text-xl cursor-pointer" icon="star" :aria-label="$t('alIsFavorit')"/>
+ <span v-if="isFavorite()" class="sr-only">{{ $t('alIsFavorit') }}</span>
+ </button>
+ </div>
+ </div>
+ </div>
+ <Spinner v-if="!isLoaded" />
+
+ <div v-if="documentData && isLoaded" class="flex flex-col items-center">
+ <Data />
+ <div class="main-black mt-4 mb-2 mr-auto">
+ <div class="flex flex-wrap mb-0">
+ <div class="text-xl">{{ $t('metaData') }}</div>
+ </div>
+ </div>
+ <div class="main-black mt-2 mb-0 mr-auto">
+ <div class="flex flex-wrap mb-0">
+ <div tabindex="0" class="flex back-button w-full justify-start lg:w-56 lg:mr-4 mb-4 lg:mb-0" @click="exportToJsonFile()" @keyup.enter="exportToJsonFile()">
+ <icon icon="file-export" class="mr-2" />
+ <p>{{ $t('jsonExport') }}</p>
+ </div>
+ </div>
+ </div>
+ <!-- disable sending report, this is the box
+ <div class="main-black mt-6 mb-6 mr-auto">
+ <div class="flex mb-8 lg:mb-0">
+ <p class="text-2xl">{{ $t('metaData') }}</p>
+ <div class="secondary-button w-40 flex justify-center ml-auto items-center lg:hidden" @click="handleModal(true)">
+ <icon icon="exclamation" class="mr-2" />
+ <p>{{ $t('report') }}</p>
+ </div>
+ </div>
+ <p class="mt-4 font-18 light">{{ $t('metaDataDescription') }}</p>
+ </div>
+ -->
+ <!-- disable Metadata, implement JSON export instead
+ <OpenLibMetaData v-if="documentData._index === 'openlib.tugraz.at'" />
+ <PhaidraMetaData v-if="documentData._index === 'phaidra.univie.ac.at'" />
+ -->
+ <!-- disable sending report, missing implementation of sending
+ <Modal v-if="modal" @close="handleModal(false)" />
+ <div class="w-40 secondary-button mt-6 flex justify-center items-center lg:flex" @click="handleModal(true)">
+ <icon icon="exclamation" class="mr-2" />
+ <p>{{ $t('report') }}</p>
+ </div>
+ -->
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+import { mapState, mapMutations } from 'vuex'
+import Data from '~/components/Document/Data'
+import OpenLibMetaData from '~/components/Document/OpenLibMetaData'
+import PhaidraMetaData from '~/components/Document/PhaidraMetaData'
+import Spinner from '~/components/Spinner'
+import httpRequest from '~/utils/HTTPRequest'
+import Modal from '~/components/Modal'
+import FavoriteTooltip from '~/components/FavoriteToolTip'
+
+export default Vue.extend({
+ components: {
+ Data,
+ OpenLibMetaData,
+ PhaidraMetaData,
+ Spinner,
+ Modal,
+ FavoriteTooltip,
+ },
+
+ data() {
+ return {
+ isLoaded: false,
+ modal: false,
+ favoriteTooltip: false,
+ }
+ },
+
+ computed: {
+ ...mapState({
+ documentData: (state) => state.documentData,
+ favorites: (state) => state.favorites,
+ }),
+
+ isMobile() {
+ return /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent)
+ },
+ },
+
+ async created() {
+ const { id } = this.$route.params
+ const resp = await httpRequest.get(`/search/${id}`)
+ const data = { ...resp.data.data }
+ this.changeDocumentData(data)
+ this.isLoaded = true
+ },
+
+ methods: {
+ ...mapMutations({
+ changeDocumentData: 'changeDocumentData',
+ changeFavorites: 'changeFavorites',
+ }),
+ navigateBack() {
+ this.changeDocumentData(null)
+ this.$router.back()
+ },
+ handleModal(state) {
+ this.modal = state
+ },
+ handleFavoriteTooltip(state) {
+ this.favoriteTooltip = state
+ },
+ handleShare() {
+ navigator.share({
+ url: this.$nuxt.$route.path,
+ // eslint-disable-next-line camelcase
+ title: (this.documentData && this.documentData?._source?.oea_title) || '',
+ text: (this.documentData && this.documentData._source.oea_abstract) || '',
+ })
+ },
+ isFavorite() {
+ return this.favorites.includes(this.documentData._id)
+ },
+ handleFavorites() {
+ this.changeFavorites(this.documentData._id)
+ },
+
+ exportToJsonFile() {
+ const jsonData = this.documentData._source;
+ let dataStr = JSON.stringify(jsonData);
+ let dataUri = 'data:application/json;charset=utf-8,'+ encodeURIComponent(dataStr);
+
+ let exportFileDefaultName = 'data.json';
+
+ let linkElement = document.createElement('a');
+ linkElement.setAttribute('href', dataUri);
+ linkElement.setAttribute('download', exportFileDefaultName);
+ linkElement.click();
+ }
+ },
+
+ head() {
+ return {
+ // eslint-disable-next-line camelcase
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: (this.documentData && this.documentData?._source?.oea_title) || '',
+ description: (this.documentData && this.documentData._source.oea_abstract) || '',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/favorites/index.vue b/oeaplatform/frontend/client/pages/favorites/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..2e3e1fecdfbc9a8fab325e61ec9d165dd188abd3
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/favorites/index.vue
@@ -0,0 +1,167 @@
+<template>
+ <div class="flex flex-col phone-wrapper justify-center items-center w-full px-2 lg:px-6">
+ <div class="w-full lg:max-w-7xl flex-col padding-favorites">
+ <h1 class="font-36 black-main">{{ $t('favorites') }}</h1>
+ <p class="font-14 mt-6 text-left result-border pb-10">{{ $t('favsDesc') }}</p>
+ <Spinner v-if="!isLoaded" />
+
+ <div v-if="favoritesData.length > 0">
+ <zuiPaginationTop v-if="isLoaded" :numOfResults="numOfResults" :currentPage="currentPage" :numOfPages="numOfPages"
+ :formatedPages="formatedDottedPages" @currentPageEmit="curPageEmit($event)" :currentSize="size"
+ @currentSizeEmit="curSizeEmit($event)" />
+ <Document v-for="result in favoritesData" :id="result._id" :key="result._id" :title="result._source.oea_title"
+ :description="result._source.oea_abstract" :authors="result._source.oea_authors"
+ :created-at="result._source.oea_classification_03" :link="result._source.oea_object_direct_link"
+ :thumbnailUrl="result._source.oea_thumbnail_url" :source="result._index"
+ :type="result._source.oea_classification_05" :licence="result._source.oea_classification_02"
+ :disciplineList="result._source.oea_classification_01" :learningRTList="result._source.oea_classification_04"
+ :languageList="result._source.oea_classification_06" />
+ <zuiPaginationBottom v-if="isLoaded" :numOfResults="numOfResults" :currentPage="currentPage"
+ :numOfPages="numOfPages" :formatedPages="formatedDottedPages" @currentPageEmit="curPageEmit($event)"
+ :currentSize="size" @currentSizeEmit="curSizeEmit($event)" />
+ </div>
+
+ <div v-if="favoritesData.length == 0 && isLoaded">
+ <h2 class="font-20 mt-6 text-left result-border pb-10">{{ $t('favsNotExist') }}</h2>
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+import { mapState, mapMutations } from 'vuex'
+import Document from '~/components/Favorites/Document'
+import Spinner from '~/components/Spinner'
+import httpRequest from '~/utils/HTTPRequest'
+import zuiPaginationBottom from '~/components/Pagination/zuiPaginationBottom'
+import zuiPaginationTop from '~/components/Pagination/zuiPaginationTop'
+
+export default Vue.extend({
+ components: {
+ Spinner,
+ Document,
+ zuiPaginationBottom,
+ zuiPaginationTop
+ },
+
+ data() {
+ return {
+ isLoaded: false,
+ numOfResults: 0,
+ numOfPages: 0,
+ isLoading: true,
+ formatedDottedPages: []
+ }
+ },
+
+ computed: {
+ ...mapState({
+ size: (state) => state.size,
+ currentPage: (state) => state.currentPage,
+ favorites: (state) => state.favorites,
+ favoritesData: (state) => state.favoritesData,
+ }),
+ },
+ methods: {
+ ...mapMutations({
+ changeDocumentData: 'changeDocumentData',
+ changeFavoritesData: 'changeFavoritesData',
+ fetchFavorites: 'fetchFavorites',
+ changeCurrentPage: 'changeCurrentPage',
+ changeSize: 'changeSize'
+ }),
+
+ calculateNumberOfPages(hits, size) {
+ let nOP = Math.ceil(hits / size)
+ return nOP
+ },
+
+ dottedPages(last, current) {
+ const delta = 2
+ const left = current - delta + 1
+ const right = current + delta + 1
+ const range = []
+ const rangeWithDots = []
+ let l
+
+ for (let i = 1; i <= last; i++) {
+ if (i === 1 || i === last || (i >= left && i < right)) {
+ range.push(i)
+ }
+ }
+
+ for (const i of range) {
+ if (l) {
+ if (i - l === 2) {
+ rangeWithDots.push(l + 1)
+ } else if (i - l !== 1) {
+ rangeWithDots.push('...')
+ }
+ }
+ rangeWithDots.push(i)
+ l = i
+ }
+
+ return rangeWithDots
+ },
+
+ async curPageEmit(page) {
+ this.isLoaded = false
+ this.changeCurrentPage(page)
+
+ const resp = await httpRequest.post(`/search/favorites`, { ids: this.favorites, size: this.size, page: page })
+
+ const data = [...resp.data.data.hits.hits]
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.changeFavoritesData(data)
+ this.isLoaded = true
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+ },
+
+ async curSizeEmit(size) {
+ this.isLoaded = false
+ this.changeSize(size)
+ this.changeCurrentPage(0)
+ this.changeFavoritesData([])
+ this.fetchFavorites()
+
+ const resp = await httpRequest.post(`/search/favorites`, { ids: this.favorites, size: size, page: this.currentPage })
+ const data = [...resp.data.data.hits.hits]
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.changeFavoritesData(data)
+ this.isLoaded = true
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+ },
+ },
+
+ async created() {
+ this.isLoaded = false
+ this.changeFavoritesData([])
+ this.fetchFavorites()
+ this.changeCurrentPage(0)
+ this.changeSize(10)
+
+ const resp = await httpRequest.post(`/search/favorites`, { ids: this.favorites, size: this.size, page: 0 })
+ const data = [...resp.data.data.hits.hits]
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.changeFavoritesData(data)
+ this.isLoaded = true
+ },
+
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - My Favorites',
+ description:
+ 'Search result favorites.',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/history/index.vue b/oeaplatform/frontend/client/pages/history/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..ce5981764c9b8fb114842126b68a1cfdf4de93e5
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/history/index.vue
@@ -0,0 +1,35 @@
+<template>
+ <div class="phone-wrapper inner-wrapper min-width flex-col mb-20 px-2 lg:px-6">
+ <h1 class="font-36 mt-6 mb-6">{{ $t('history') }}</h1>
+ <div v-for="content in $t('historyContent')" class="mb-6">
+ <h2 v-if="content.header.length > 0" class="font-24 mb-3" v-html="content.header"></h2>
+ <p v-if="content.description.length > 0" v-html="content.description"></p>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+
+export default Vue.extend({
+ data() {
+ return {
+ section: 1,
+ }
+ },
+ methods: {
+ handleSection(section) {
+ if (this.section === section) this.section = -1
+ else this.section = section
+ },
+ },
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - About',
+ description:
+ 'About',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/imprint/index.vue b/oeaplatform/frontend/client/pages/imprint/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..89bcedb3e5bef49b3570a856fa9a85a092037a38
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/imprint/index.vue
@@ -0,0 +1,35 @@
+<template>
+ <div class="phone-wrapper inner-wrapper min-width flex-col mb-20 px-2 lg:px-6">
+ <h1 class="font-36 mt-6 mb-6">{{ $t('imprint') }}</h1>
+ <div v-for="content in $t('imprintContent')" class="mb-6">
+ <h2 v-if="content.header.length > 0" class="font-24 mb-3" v-html="content.header"></h2>
+ <p v-if="content.description.length > 0" v-html="content.description"></p>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+
+export default Vue.extend({
+ data() {
+ return {
+ section: 1,
+ }
+ },
+ methods: {
+ handleSection(section) {
+ if (this.section === section) this.section = -1
+ else this.section = section
+ },
+ },
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria - Imprint',
+ description:
+ 'Imprint',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/pages/index-with-password.vue b/oeaplatform/frontend/client/pages/index-with-password.vue
new file mode 100644
index 0000000000000000000000000000000000000000..0f8169a5af7479addf92af1e321d0320182cf433
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/index-with-password.vue
@@ -0,0 +1,117 @@
+<template>
+ <div class="container">
+ <div class="top-section">
+ <h2>{{ $t('welcomeHead1') }}</h2>
+
+
+ </div>
+
+ <br>
+
+ <div v-if="isAuthorised">
+ <h1>{{ $t('isAuthorisedHead1') }}</h1>
+
+ <p>{{ $t('isAuthorisedDecision') }}</p>
+
+ <a @click="removeAuthorisation" class="button--pink">{{ $t('lnkLogout') }}</a> |
+ <NuxtLink :to="localePath('/index-no-password')">{{ $t('lnkSearch') }}</NuxtLink>
+ </div>
+ <div v-else>
+ <h1>{{ $t('askPaswordHead1') }}</h1>
+ <p>{{ $t('askPasswordTxt') }}</p>
+
+ <div class="section">
+ <form :action="redirectPath" method="GET">
+ <input type="password" name="_pw" placeholder=" ... ">
+ <button class="button--pink" type="submit">
+ {{ $t('btnPassword') }}
+ </button>
+ </form>
+ </div>
+
+ </div>
+
+ </div>
+
+</template>
+
+<script>
+export default {
+ data: function() {
+ return {
+ methodLoginValue: '',
+ isAuthorised: false
+ }
+ },
+
+ computed: {
+ redirectPath() {
+ const path = this.$route.query.previousPath
+
+ return path || this.localePath('/')
+ }
+ },
+
+ mounted() {
+ this.isAuthorised = this.$passwordProtect.isAuthorised()
+ },
+
+ methods: {
+ loginUser() {
+ this.$passwordProtect.authorise(this.methodLoginValue)
+ this.isAuthorised = this.$passwordProtect.isAuthorised()
+
+ this.$router.push(this.redirectPath)
+ },
+ removeAuthorisation() {
+ this.$passwordProtect.removeAuthorisation()
+ this.isAuthorised = this.$passwordProtect.isAuthorised()
+ }
+ }
+}
+</script>
+
+<style scoped>
+.top-section {
+ display: flex;
+ justify-content: space-between;
+}
+
+.top-section .locale-switch a + a {
+ margin-left: 5px;
+}
+
+form {
+ margin: 20px 0;
+ font-family: sans-serif;
+ display: flex;
+}
+input {
+ border: 1px solid #ccc;
+ padding: 5px;
+ font-size: 16px;
+ border-radius: 3px;
+ height: 40px;
+ vertical-align: top;
+ width: 300px;
+}
+
+form + p {
+ margin-top: 10px;
+}
+
+input + button {
+ margin-left: 10px;
+}
+
+.section {
+ padding: 10px 0;
+ border-top: 1px solid #ccc;
+ margin-top: 10px;
+}
+
+p + .button--pink {
+ margin-top: 10px;
+}
+</style>
+
diff --git a/oeaplatform/frontend/client/pages/index.vue b/oeaplatform/frontend/client/pages/index.vue
new file mode 100644
index 0000000000000000000000000000000000000000..2b7e8424f523b3351690905b78f25d1364ed5727
--- /dev/null
+++ b/oeaplatform/frontend/client/pages/index.vue
@@ -0,0 +1,339 @@
+<template>
+ <div class="flex flex-col justify-center items-center">
+ <SearchWrapper @searchEmit="searchPageEmit($event)" @searchWrapperEmit="searchWrapperPageEmit($event)" />
+ <div id="livesearchresult" role="status" aria-live="polite" class="lg:w-full">
+ <WelcomeText v-if="!isSearching && !isLoading" />
+ <!-- Applied Filters -->
+ <AppliedFiltersList v-if="isFilterListFilled && isSearching && !isLoading" @appliedFiltersListEmit="searchWrapperPageEmit($event)" />
+ <!-- This Feature is not used! -->
+ <SearchInfo v-if="isSearching && totalResults && !isLoading" @searchInfoEmit="searchWrapperPageEmit($event)" />
+ <h1 v-if="isSearching && !totalResults && !isLoading"
+ class="main-black text-xl mt-20 mb-20 flex justify-center items-center">
+ {{ $t('noSearchResults') }}
+ </h1>
+ <Spinner v-if="isLoading" />
+ <div class="flex flex-col items-center justify-center lg:w-full">
+ <div class="lg:w-full lg:max-w-7xl flex flex-col">
+ <zuiPaginationTop v-if="isSearching && !isLoading && totalResults" :numOfResults="numOfResults"
+ :currentPage="currentPage" :formatedPages="formatedDottedPages" :numOfPages="numOfPages"
+ @currentPageEmit="curPageEmit($event)" :currentSize="size" @currentSizeEmit="curSizeEmit($event)" />
+ <SearchResultBox if v-if="isSearching && !isLoading" v-for="result in results" :id="result._id"
+ :key="result._id" :title="result._source.oea_title" :description="result._source.oea_abstract"
+ :authors="result._source.oea_authors" :created-at="result._source.oea_classification_03"
+ :link="result._source.oea_object_direct_link" :thumbnailUrl="result._source.oea_thumbnail_url"
+ :source="result._index" :type="result._source.oea_classification_05"
+ :licence="result._source.oea_classification_02" :disciplineList="result._source.oea_classification_01"
+ :learningRTList="result._source.oea_classification_04" :languageList="result._source.oea_classification_06" />
+ <zuiPaginationBottom v-if="isSearching && !isLoading && totalResults" :numOfResults="numOfResults"
+ :currentPage="currentPage" :formatedPages="formatedDottedPages" :numOfPages="numOfPages"
+ @currentPageEmit="curPageEmit($event)" :currentSize="size" @currentSizeEmit="curSizeEmit($event)" />
+ </div>
+ </div>
+ </div>
+ </div>
+</template>
+
+<script>
+import Vue from 'vue'
+import { mapState, mapMutations } from 'vuex'
+import httpRequest from '~/utils/HTTPRequest'
+import SearchInfo from '~/components/SearchInfo'
+import SearchWrapper from '~/components/SearchWrapper'
+import WelcomeText from '~/components/WelcomeText'
+import SearchResultBox from '~/components/SearchResultBox'
+import Spinner from '~/components/Spinner'
+import zuiPaginationBottom from '~/components/Pagination/zuiPaginationBottom'
+import zuiPaginationTop from '~/components/Pagination/zuiPaginationTop'
+import AppliedFiltersList from '~/components/Filters/AppliedFiltersList' // This Feature is not used!
+
+export default Vue.extend({
+ components: {
+ SearchWrapper,
+ WelcomeText,
+ SearchInfo,
+ SearchResultBox,
+ Spinner,
+ zuiPaginationBottom,
+ zuiPaginationTop,
+ AppliedFiltersList // This Feature is not used! Activated for test purpose //
+ },
+
+ data() {
+ return {
+ numOfResults: this.numOfResults,
+ numOfPages: this.numOfPages,
+ formatedDottedPages: []
+ }
+ },
+
+ computed: {
+ ...mapState({
+ size: (state) => state.size,
+ query: (state) => state.query,
+ fixedQuery: (state) => state.fixedQuery,
+ currentPage: (state) => state.currentPage,
+ results: (state) => state.results,
+ totalResults: (state) => state.totalResults,
+ isSearching: (state) => state.isSearching,
+ isLoading: (state) => state.isLoading,
+ selectedDisciplines: (state) => state.selectedDisciplines,
+ selectedLearningRTs: (state) => state.selectedLearningRTs,
+ selectedLanguages: (state) => state.selectedLanguages,
+ selectedLicences: (state) => state.selectedLicences,
+ selectedMediaTypes: (state) => state.selectedMediaTypes,
+ selectedSources: (state) => state.selectedSources,
+ selectedDateRange: (state) => state.selectedDateRange,
+ startDate: (state) => state.startDate,
+ endDate: (state) => state.endDate,
+ sortType: (state) => state.sortType,
+ sortOrder: (state) => state.sortOrder
+ }),
+ isFilterListFilled() {
+ if (
+ this.selectedDisciplines.length > 0 ||
+ this.selectedLearningRTs.length > 0 ||
+ this.selectedLanguages.length > 0 ||
+ this.selectedLicences.length > 0 ||
+ this.selectedMediaTypes.length > 0 ||
+ this.selectedSources.length > 0 ||
+ this.selectedDateRange
+ ) {
+ return true
+ } else return false
+ },
+ },
+
+ updated() {
+ // console.log('called updated in index')
+ },
+ created() {
+ // console.log('called created in index')
+ // console.log('fullPath: ' + this.$nuxt.$route.fullPath)
+ // console.log('from path: ' + this.$nuxt?.context?.from?.path)
+ if (this.isDocumentPath(this.$nuxt?.context?.from?.path)) {
+ // console.log('called from document - do nothing')
+ // this.numOfResults = this.totalResults
+ // this.numOfPages = this.calculateNumberOfPages(this.totalResults, this.size)
+ //this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ // console.log('called from document - do nothing Results: ' + this.numOfResults)
+ if (this.query) {
+ this.searchWrapperPageEmit()
+ }
+
+ } else {
+ //console.log('called not from document - do something')
+ this.changeIsSearching(false)
+ this.changeIsLoading(false)
+ this.changeQuery()
+ }
+
+ },
+
+ methods: {
+ ...mapMutations({
+ changeCurrentPage: 'changeCurrentPage',
+ changeIsLoading: 'changeIsLoading',
+ changeResults: 'changeResults',
+ changeTotalResults: 'changeTotalResults',
+ changeStartItem: 'changeStartItem',
+ changeEndItem: 'changeEndItem',
+ changeSize: 'changeSize',
+
+ changeIsSearching: 'changeIsSearching',
+ changeNumOfPages: 'changeNumOfPages',
+ changeDisciplines: 'changeDisciplines',
+ changeLearningRTs: 'changeLearningRTs',
+ changeLanguages: 'changeLanguages',
+ changeFilteredDisciplines: 'changeFilteredDisciplines',
+ changeFilteredLearningRTs: 'changeFilteredLearningRTs',
+ changeFilteredLanguages: 'changeFilteredLanguages',
+ changeLicences: 'changeLicences',
+ changeMediaTypes: 'changeMediaTypes',
+ changeSources: 'changeSources',
+
+ changeQuery: 'changeQuery'
+ }),
+
+ isDocumentPath(path) {
+ return /document|author/i.test(path)
+ },
+
+ calculateNumberOfPages(hits, size) {
+ let nOP = Math.ceil(hits / size)
+ return nOP
+ },
+
+ dottedPages(last, current) {
+ const delta = 2
+ const left = current - delta + 1
+ const right = current + delta + 1
+ const range = []
+ const rangeWithDots = []
+ let l
+
+ for (let i = 1; i <= last; i++) {
+ if (i === 1 || i === last || (i >= left && i < right)) {
+ range.push(i)
+ }
+ }
+
+ for (const i of range) {
+ if (l) {
+ if (i - l === 2) {
+ rangeWithDots.push(l + 1)
+ } else if (i - l !== 1) {
+ rangeWithDots.push('...')
+ }
+ }
+ rangeWithDots.push(i)
+ l = i
+ }
+
+ return rangeWithDots
+ },
+
+ async searchPageEmit() {
+ const resp = await httpRequest.post('/search/', {
+ query: this.fixedQuery,
+ page: this.currentPage,
+ size: this.size,
+ })
+
+ this.changeResults(resp.data.data.hits.hits)
+ this.changeDisciplines(resp.data.disciplines)
+ this.changeLearningRTs(resp.data.learningRTs)
+ this.changeLanguages(resp.data.languages)
+ this.changeFilteredDisciplines(resp.data.disciplines)
+ this.changeFilteredLearningRTs(resp.data.learningRTs)
+ this.changeFilteredLanguages(resp.data.languages)
+ this.changeTotalResults(resp.data.data.hits.total.value)
+ this.changeLicences(resp.data.licences)
+ this.changeMediaTypes(resp.data.mediaType)
+ this.changeSources(resp.data.sources)
+ this.changeIsLoading(false)
+ this.changeIsSearching(true)
+ this.numOfPages = this.calculateNumberOfPages(this.totalResults, this.size)
+ this.numOfResults = this.totalResults
+ this.changeNumOfPages(this.numOfPages)
+ this.changeSize(this.size)
+
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+
+ },
+ async searchWrapperPageEmit() {
+ this.isLoaded = false
+ this.changeIsLoading(true)
+ this.changeCurrentPage(0)
+
+ const resp = await httpRequest.post('/search/', {
+ query: this.query,
+ page: this.currentPage,
+ size: this.size,
+ disciplines: this.selectedDisciplines,
+ learningRTs: this.selectedLearningRTs,
+ languages: this.selectedLanguages,
+ mediaTypes: this.selectedMediaTypes,
+ sources: this.selectedSources,
+ licences: this.selectedLicences,
+ dateRange: this.selectedDateRange.value,
+ sort: { type: this.sortType, order: this.sortOrder },
+ startDate: this.startDate,
+ endDate: this.endDate,
+ })
+
+ this.changeResults(resp.data.data.hits.hits)
+ this.changeDisciplines(resp.data.disciplines)
+ this.changeLearningRTs(resp.data.learningRTs)
+ this.changeLanguages(resp.data.languages)
+ this.changeFilteredDisciplines(resp.data.disciplines)
+ this.changeFilteredLearningRTs(resp.data.learningRTs)
+ this.changeFilteredLanguages(resp.data.languages)
+ this.changeTotalResults(resp.data.data.hits.total.value)
+ this.changeLicences(resp.data.licences)
+ this.changeMediaTypes(resp.data.mediaType)
+ this.changeSources(resp.data.sources)
+ this.changeIsLoading(false)
+ this.changeIsSearching(true)
+ this.numOfPages = this.calculateNumberOfPages(this.totalResults, this.size)
+ this.numOfResults = this.totalResults
+ this.changeNumOfPages(this.numOfPages)
+ this.changeSize(this.size)
+
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+ },
+
+ async curPageEmit(page) {
+ this.isLoaded = false
+ this.changeIsLoading(true)
+ this.changeCurrentPage(page)
+
+ const resp = await httpRequest.post('/search/', {
+ query: this.query,
+ page: page,
+ size: this.size,
+ disciplines: this.selectedDisciplines,
+ mediaTypes: this.selectedMediaTypes,
+ licences: this.selectedLicences,
+ dateRange: this.selectedDateRange.value,
+ sources: this.selectedSources,
+ learningRTs: this.selectedLearningRTs,
+ languages: this.selectedLanguages,
+ startDate: this.startDate,
+ endDate: this.endDate,
+ sort: { type: this.sortType, order: this.sortOrder }
+ })
+
+ this.changeResults(resp.data.data.hits.hits)
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.isLoaded = true
+ this.changeIsLoading(false)
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+ },
+
+
+ async curSizeEmit(size) {
+ this.isLoaded = false
+ this.changeIsLoading(true)
+ this.changeSize(size)
+ this.changeCurrentPage(0)
+
+ const resp = await httpRequest.post('/search/', {
+ query: this.query,
+ page: this.currentPage,
+ size: size,
+ disciplines: this.selectedDisciplines,
+ mediaTypes: this.selectedMediaTypes,
+ licences: this.selectedLicences,
+ dateRange: this.selectedDateRange.value,
+ sources: this.selectedSources,
+ learningRTs: this.selectedLearningRTs,
+ languages: this.selectedLanguages,
+ startDate: this.startDate,
+ endDate: this.endDate,
+ sort: { type: this.sortType, order: this.sortOrder }
+ })
+
+ this.changeResults(resp.data.data.hits.hits)
+ this.numOfResults = resp.data.data.hits.total.value
+ this.numOfPages = this.calculateNumberOfPages(this.numOfResults, this.size)
+ this.formatedDottedPages = this.dottedPages(this.numOfPages, this.currentPage)
+ this.isLoaded = true
+ this.changeIsLoading(false)
+ setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 0)
+ },
+ },
+
+ head() {
+ return {
+ htmlAttrs: { lang: this.$i18n.locale },
+ title: 'Open Education Austria',
+ description:
+ 'Open Education Austria ist ein Projekt österreichischer Universitäten zur gemeinsamen Entwicklung einer nationalen Infrastruktur für Open Educational Resources (OER). Erstmals wird versucht, Dienstleistungen von E- Learning-Zentren, Zentralen Informatikdiensten und Bibliotheken der Partneruniversitäten zu verknüpfen, um Lehrende bei der Erstellung von OER-Materialien für Selbststudium und Lehre zu unterstützen.',
+ }
+ },
+})
+</script>
diff --git a/oeaplatform/frontend/client/plugins/closeModal.js b/oeaplatform/frontend/client/plugins/closeModal.js
new file mode 100644
index 0000000000000000000000000000000000000000..70af7f01201c06809553f6375f41be4fa0b9dc55
--- /dev/null
+++ b/oeaplatform/frontend/client/plugins/closeModal.js
@@ -0,0 +1,5 @@
+export default () => {
+ window.addEventListener('click', function (e) {
+ if (!document.getElementById('box').contains(e.target)) this.changeModal('')
+ })
+}
diff --git a/oeaplatform/frontend/client/plugins/vue-matomo.js b/oeaplatform/frontend/client/plugins/vue-matomo.js
new file mode 100644
index 0000000000000000000000000000000000000000..bc5937e2bd2f5f1123c4716f1f9102f2b6756255
--- /dev/null
+++ b/oeaplatform/frontend/client/plugins/vue-matomo.js
@@ -0,0 +1,27 @@
+import Vue from 'vue'
+import VueMatomo from 'vue-matomo'
+
+export default ({ app }) => {
+ //console.log('runtime.analyticsServerBaseUrl: '+ app.$config.analyticsServerBaseUrl)
+ //console.log('runtime.analyticsSiteId: '+app.$config.analyticsSiteId)
+
+ Vue.use(VueMatomo, {
+ router: app.router,
+
+ /** Other configuration options **/
+ // Configure your matomo server and site by providing
+
+ //host: 'https://oea-sandbox.univie.ac.at/mwa',
+ host: app.$config.analyticsServerBaseUrl,
+ siteId: app.$config.analyticsSiteId,
+
+ // Changes the default .js and .php endpoint's filename
+ // Default: 'matomo'
+ trackerFileName: 'matomo',
+
+ // Enables link tracking on regular links. Note that this won't
+ // work for routing links (ie. internal Vue router links)
+ // Default: true
+ enableLinkTracking: true,
+ })
+}
diff --git a/oeaplatform/frontend/client/static/Logo-white.svg b/oeaplatform/frontend/client/static/Logo-white.svg
new file mode 100644
index 0000000000000000000000000000000000000000..0b6dc8cead065fe8066719b0754805266dd7d7a8
--- /dev/null
+++ b/oeaplatform/frontend/client/static/Logo-white.svg
@@ -0,0 +1 @@
+<svg id="Ebene_1" data-name="Ebene 1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1000 440"><defs><style>.cls-1{fill:#FFFFFF;}.cls-2{fill:none;}.cls-3{fill:#FFFFFF;}.cls-4{fill:#FFFFFF;}.cls-5{fill:#FFFFFF;}</style></defs><path class="cls-1" 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diff --git a/oeaplatform/frontend/client/static/Logo.svg b/oeaplatform/frontend/client/static/Logo.svg
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new file mode 100644
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new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/cc/nc-blue.svg b/oeaplatform/frontend/client/static/cc/nc-blue.svg
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diff --git a/oeaplatform/frontend/client/static/logo-fnma.svg b/oeaplatform/frontend/client/static/logo-fnma.svg
new file mode 100644
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"/>
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diff --git a/oeaplatform/frontend/client/static/logo-oeibf.svg b/oeaplatform/frontend/client/static/logo-oeibf.svg
new file mode 100644
index 0000000000000000000000000000000000000000..d5526b3da944331b8b74e8ccc4c577d455e5f5ef
--- /dev/null
+++ b/oeaplatform/frontend/client/static/logo-oeibf.svg
@@ -0,0 +1,3 @@
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"/>
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diff --git a/oeaplatform/frontend/client/static/logo-tu-graz.svg b/oeaplatform/frontend/client/static/logo-tu-graz.svg
new file mode 100644
index 0000000000000000000000000000000000000000..4d72527f510274553713df530f1d65cb8bebc2c3
--- /dev/null
+++ b/oeaplatform/frontend/client/static/logo-tu-graz.svg
@@ -0,0 +1,3 @@
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diff --git a/oeaplatform/frontend/client/static/logo-universitaet-graz.svg b/oeaplatform/frontend/client/static/logo-universitaet-graz.svg
new file mode 100644
index 0000000000000000000000000000000000000000..e19763252d6411b1dea01c78edb0100d5f969615
--- /dev/null
+++ b/oeaplatform/frontend/client/static/logo-universitaet-graz.svg
@@ -0,0 +1,3 @@
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y6dtf8APPUv/n8wn/X/AN+/5Nj/AHyf+mag/wC5rtf/AG19e/14/b//AJTG/wCcE3/Wvr3+yX/If/njaH/0Ktrf/Vfv3+y6dtf889S/+fzCf9f/AH7/AJNj/fJ/6ZqD/ua7X/219e/14/b/AP5TG/5wTf8AWvr3+yX/ACH/AOeNof8A0Ktrf/Vfv3+y6dtf889S/wDn8wn/AF/9+/5Nj/fJ/wCmag/7mu1/9tfXv9eP2/8A+Uxv+cE3/Wvr3+yX/If/AJ42h/8AQq2t/wDVftE7y633dsFce+6MdFQLlGqlojHX0Nb5TRiM1AIo5H028qfqte/H0PuBvfH7r3vP93OLbZvdrbI9vXdzOtqUu7W58Q2whM1fpppdGkTxU16dWrtrQ0E/LfOfL3NrTLsUxlMGkvVHSmvVp+NVrXSeFaUz0F3ZfSfY3UUeGk35hYMSmeevTFmHLYrJ+dsaIWrAwxs0ujSJ4ra7XvxexshfePvQp6Cj3737r3Xvfvfuvde9/wD/0vn/APv3Xut/j3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Wsdhf+FLHXWZ/mvzfyr0+KO9YNzQ/JvP8AxqPcTdpYN8E2RwWWqcS+6xtEYYVHgkNOXFL99qAa3kNr+/e/de62cffvfuvde9+9+69173737r3Xvfvfuvde9+9+690DHyP7jpPjt8eO+fkDkMFU7ooOi+mO0e463bNHXRYyr3FSdY7Hrt7VOCpclPHMlPJVpQtTpO8TrGzhijAWPvfuvdUx/wAmH+fdsb+cbvrvPZG0vjfuvoybpHaez91VuQ3H2JiN7xbgi3dmKzERUdLT4zF4807QGkLs7s4YMAALXPvfuvdbAfv3v3Xuteb+cx/woD2J/J47X6d6s3b8ad295VXb3XuW7ApMxt3sfD7JgwkGK3JJt1sbUUmTxWQaZ3ZPKJFdAAdOknn3737r3Vgn8rz+ZR0p/NQ+Ku3vk305S1W2JmzWX2d2R1fmcpR5XdHVm/cI6yVW2c7WUKRRzpUUc1Hk8fWRxIs9JUxMUjlEsMXvfuvdWK+/e/de69797917r3v3v3Xuve/e/de69797917rWV/mp/8AClHrv+V18xKL4h7l+Ke9O38rWbE2Dvkb3wXaOD2lj44N911XRQY84Wvw9bIXpjSFnk+4s+oAKtufe/de62avfvfuvde9+9+691rSfDD/AIUh9e/Mb+Zvk/5auI+K+89i7ixu+/kBsZu18j2fhM3hZZ+hMbnMjXZAbWpsPTzhMkMI6xR/eEwmVSzPpN/e/de62W/fvfuvdav/APM//wCFL2z/AOVt80Mj8Se2/hp2Fu7GR7c693zge2sD2ngsZj9z7C3vRha3cmM2lW4WWa+NyNPl8W9Oa0+aahcrIgcBfe/de62bMHm8RuXC4fceAyNLl8DuDF4/N4TLUMqz0WTxGVpEr8bkaOdeHinhkSSNxwVYH3737r3Tp797917r3v3v3Xuve/e/de69797917r3v3v3Xutdj+cl/wAKIOnP5Qfc/VfROe6H3R37vrsPrep7RzFJtnsDDbJj2Ttuo3JUbY2ua/8AiONyJqJclUY/KsqAReJKYMdYmXT737r3V8vUe8Nw9hdVdab+3bsqs613TvfYGz937j66yWRTMZLYWc3Jt+nzOU2ZkcrHBTLU1GMnmeinnWnjV3jZgigge/e/de6r2/m8/wAz7bf8pb4tYT5P7p6jzndONzXcG0+o02jt/dlBs2up6vdW3M1uKLNtlsjRV8bRwrhniaEQAsZVYOApB97917rWd/6DhumP+9fPZ/8A6Pzan/2Ne/e/de69/wBBw3TH/evns/8A9H5tT/7Gvfvfuvde/wCg4bpj/vXz2f8A+j82p/8AY1797917r3/QcN0x/wB6+ez/AP0fm1P/ALGvfvfuvde/6DhumP8AvXz2f/6Pzan/ANjXv3v3Xuvf9Bw3TH/evns//wBH5tT/AOxr3737r3W8vgMqudwWFziQtTJmcTjsqlO7iRoFyNGlWsLSAAMVD6SQBe17e/e/de6Ln81/k3jfhj8Te/vlVmNpV2/MX0N1tn+xq7ZuNysGDr9x0+BhEz4uky9VDUR07yXsJXgcD/Un3737r3Wnp/0HDdMf96+ez/8A0fm1P/sa9+9+6917/oOG6Y/7189n/wDo/Nqf/Y1797917r3/AEHDdMf96+ez/wD0fm1P/sa9+9+6917/AKDhumP+9fPZ/wD6Pzan/wBjXv3v3Xulhs7/AIW8/FmtycEW/wD4Pd/7ZwzSKKmv2d2J11vnJwxFvU8GJzUe3YpGA5CtWoCeNQ+vv3v3Xutg34A/zxf5bv8AMkraTanx672pcX23U071A6K7bxzdbdtyrFC1TUJgsLlZJKHPNDEjS1H928lkBCgLTGMC/v3v3XurcPfvfuvde9+9+69173737r3Vcn8wb+a98HP5Y+0KTcXyt7hodv7lzlDPX7L6h2nTf3u7j35DBI0Jm23sahdZI6QyK0RyuUmo8csg8UlYkhCn3v3XutPP5B/8LZu1c/uCfbvwt+De1aOmmq2pNvZ/5Bbt3HvjcOfMrFaVpuseqWw60cx4BpoNzVtz9JPfvfuvdAA3/CkT/hSDuBRuLCfC7Cw4KXXUx/wH4O/IGvwJpwlz48jXZWslMaj1avuif6sR797917p76/8A+Fmf8w3qLdMW3flp8KOidzpRPGclgdvUPbvx37ANMzlXeefedduumR7ghCMKi8WIvc+/e/de62gf5b3/AApS/lx/zEs3gOsYN2Zn40/IHPy09Biuoe+GxOFpt25mcrGuN647Ix80mFy80kjJDSUNTLQ5OpckQ45wCffvfuvdbBXv3v3Xuve/e/de6rg/mrfzE9v/AMrf4hbi+W25ur8x2/itvb02Ps2TZWC3NRbSyFVNvbL/AMJhrkzOQpK6NVpz62Q05LDgEfX3737r3Sa/lGfzN9t/zZPitkflFtbqXN9MYzH9s7u6qbaGf3XQbxrparaeFxOZlzK5bHUVBGI5hlVjWHwXUxkljqAHvfuvdP381z+Y1t/+Vj8Rsx8stzdW5nuHF4jfeydjPsvBbnoto5CefelbLRw5BcxkKOujVKcxlmjMBLXsGHv3v3XutXj/AKDhumP+9fPZ/wD6Pzan/wBjXv3v3Xuvf9Bw3TH/AHr57P8A/R+bU/8Asa9+9+6917/oOG6Y/wC9fPZ//o/Nqf8A2Ne/e/de69/0HDdMf96+ez//AEfm1P8A7Gvfvfuvde/6DhumP+9fPZ//AKPzan/2Ne/e/de69/0HDdMf96+ez/8A0fm1P/sa9+9+690bj4Hf8K1urPnP8veh/iThfhZ2B15le896DZtFvXKdybd3Bj9vTHEVWW++qsNSYGlkqFtTFNCVCG7A34sfe/de629ffvfuvde9+9+690iuyuwtpdR9db+7W39lYsFsXrLZe6ewd6Zue3gw+09mYOfce4spNcj009HTTStz9F9+9+691qyfy7v+FYvQfz3+Y/UHxFqfi5vjo2q7pymd27tXsTcvae3d0YeHdFDtysz23cDkMPQYmjkWTLzUi42laOoa1VPChDKxZfe/de620Pfvfuvde9+9+690Xv5a9/0HxS+LvyG+TeU21V7yxvx+6Y7I7jr9pUGRhw9duWk662nVbrqMFSZWoinjppKpaUwpO8MioWDFGAsfe/de601v+g4bpj/vXz2f/wCj82p/9jXv3v3Xuvf9Bw3TH/evns//ANH5tT/7Gvfvfuvde/6DhumP+9fPZ/8A6Pzan/2Ne/e/de69/wBBw3TH/evns/8A9H5tT/7Gvfvfuvde/wCg4bpj/vXz2f8A+j82p/8AY1797917r3/QcN0x/wB6+ez/AP0fm1P/ALGvfvfuvdO2B/4W5dNZ3OYXCJ/L/wCzad8xlsdikqG752rIsDZCsSkWZoxtsFgpfUQCL2tf3737r3W8v797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917ot/ym+Xvxp+E/VWU7r+U/cezemOuMY5p1zW666QVubyfhaojwO0dt45J8nmsnJGjvFjcTR1FS6q7rEVRiPe/de60yfl9/wtk2Pg8vlNtfBn4k5HftFSyzU9F2r8jNyS7SxVdJC3jWpx/U2xvuK6akmN5IZavclDPosJKSN2Kx+9+690Rim/4Ux/8KJOxoV3dsD4a7Mm2tUXqaaTYfwu+QW5dsvTMpdPFma3OZOR00+rWKzm172v797917pb9Zf8LNfnr1BuyHbHzL+D3Te5Uo2hXKYjZ0Xavx07DgpJDoasqKff1Tu2meUEMyoMbTJJp0ao+ZB737r3W2B/LV/n/wD8vD+ZxV43Y3V/YOR6l7+rIC/+y+d3w4zaW+svNDEXqv7gZWlqanD7kUBJZVgxVe9esCGepoaZL297917q7b3737r3Xvfvfuvde9+9+691WH/Nt/mX7c/lQ/FKD5Tbo6nzfc2Mm7R2f1iNn4DdVDs+vWp3dj8lXxZc5fI0ddHogGOZWi8F21ghhpN/e/de61jv+g4bpj/vXz2f/wCj82p/9jXv3v3Xuvf9Bw3TH/evns//ANH5tT/7Gvfvfuvde/6DhumP+9fPZ/8A6Pzan/2Ne/e/de69/wBBw3TH/evns/8A9H5tT/7GvfvfuvdCp1n/AMLa/hhm8vS0fbXxA+SXXmJnkjimzOy9w9bdnNReQ6WqKnHZOq21I0SGxcws8mm5WNmAVve/de62W/gz/NE+C38x3btXm/iR3/tXsXL4eiir909dVqV+0e1tn08jrA1TuLrjdMVJlY6VZnFOuTgp5aCWS6wVUv19+9+690f73737r3Xvfvfuvde9+9+69173737r3XvfvfuvdafVF/wsI+K1b80af4uJ8cd5p1rVfI9eiIfkq3ae3DtM7cl7E/uFB3G21P4T5xh2jK5cwff+YUhvcyDR797917rcF9+9+69173737r3Xvfvfuvde9+9+690TH+YX8xsR/L/+GveXzBzuxsj2VieksFgc5WbHxGbptuZHcCZ3emM2alPS5usp6uKnMb5JZyz073CFbAsCPe/de61IP+g4bpj/AL189n/+j82p/wDY1797917r3/QcN0x/3r57P/8AR+bU/wDsa9+9+6917/oOG6Y/7189n/8Ao/Nqf/Y1797917r3/QcN0x/3r57P/wDR+bU/+xr3737r3Xv+g4bpj/vXz2f/AOj82p/9jXv3v3Xuvf8AQcN0x/3r57P/APR+bU/+xr3737r3R+v5Y3/CpfrP+ZZ80uqfhtt34fb66oy/aVD2HXUu+s123gN043Djr/rjLdiTxz4OhwlHLMamPFNSoVqF0NIHOoKVPvfuvdbWfv3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3XuqCvkv/zPntD/AMOeo/8AceP3737r3QGe/e/de6WHXn/H/wCx/wDw8Ns/+7qD3737r3Wxx797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve7j8d/wAW+g/6g6X/AK0L7+3vlf8A5Vrbv+eWD/q0nXOO8/3Ml/07f8ePULG/8W6g/wCoKl/60L7mezzpN1N9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9k4+XH/AbYf8Ay33J/wBa6H3xC/vnf+SZ7ef81d7/AOObV1kd93v+23X/AEtt/hn6rV/mKf8AALqX/qK3t/1qxXslfvhL1kv1WD797917r3v3v3Xuve//0/n/APv3Xut/j3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xys9j/APcXxW/+NUOw/wD3scn797917r6pnv3v3Xuve/e/de69797917r3v3v3Xuve/e/de6I//M3/AO3bX8wf/wAUf+WH/vhs/wC/e/de60g/+EPv/M/fnz/4h/pf/wB7TM+/e/de6+i5797917r5uf8Awt1/7K8+Fn/it+8P/fnVHv3v3Xuqxf5LH8wDt3+Rr/MMx+zfkdjs7tT4/wDe+F61w3yG2rVCaooqPYu/8DTb16a+Q+34KXWKn+FUOZgysckKPJPiKyvpViFVJF4fe/de6+tvisrjM7i8bm8JkaHMYbMUFHlcRlsXVwV+MymMyFOtXQZHHV1KzxTQTxOksMsbFXRgykgg+/e/de6n+/e/de69797917r3v3v3Xuve/e/de6+WH/wrf/7fVYT/AMV/+PP/ALvcx797917r6nnv3v3Xuve/e/de6+XH/I//AO4qLdP/AIsB/MW/95jf3v3v3XuvqOe/e/de60av+FrXw6/vX0b8X/nNtvFeTLdR7xynQXZ1bTQ66iTYvZET7o6+yWSlP6KTFZvH5CjjIPM2aUEG4K+9+691dL/wmi+Xv+zefyifjjV5bKfxLffx4gyfxb36XmM08NT1FFT0+wTPJITI8k2zazbc80j8tM8vLWufe/de6vw9+9+69173737r3Xvfvfuvde9+9+69173737r3Xy0cVF/w+T/wqOnq2H96uh8D8h5MhITas27N8Zvh/TrBQq6erx0G8HwcEbgf8pOdJupYlfe/de6+pd797917rUx/4WY/9umNif8Ai6HT/wD77LfPv3v3Xugu/wCEu3wJ+C/yB/lMdfdj98/C/wCJ3dvYdb3F3XjKzfnbvx06f7J3nV43FbrFPi8fU7o3lh62ukgpo/26eJ5yka+lABx797917rYg/wCGnf5WX/etP4Af+kb/AB1/+xz3737r3Xv+Gnf5WX/etP4Af+kb/HX/AOxz3737r3Xv+Gnf5WX/AHrT+AH/AKRv8df/ALHPfvfuvde/4ad/lZf960/gB/6Rv8df/sc9+9+6917/AIad/lZf960/gB/6Rv8AHX/7HPfvfuvdH5p6eno6eCkpIIaWlpYYqempqeJIKenp4EEUMEEMQCoiKAqqoAAAAFvfvfuvdVTfz0/+3P38xH/xWDsP/wBwk9+9+691qI/8I7fhz8SvlN1x87q/5MfGLoD5B12zd79B0e0azurqDYPZ9VtekzWB3VNmKbb8+9KCtajjqnpqdqhKcoJDFGXBKLb3v3Xutz7/AIaK/lU/962Pgh/6Sb0V/wDWL3737r3Xv+Giv5VP/etj4If+km9Ff/WL3737r3Xv+Giv5VP/AHrY+CH/AKSb0V/9YvfvfuvdBj2Z/Iv/AJQHbGEq8Buf+Xf8XsRRVsLwyVXWfW+M6azcQddOuk3H1F/A6+Fx9Q8VSpB/Pv3v3XutMf8AnSf8JbNz/CXaWf8Amv8Ay2N4dh7u6w6tY78350/l8pPWdxdNYzAy/wAXl7G6w3thUpqnL4vD+P7mpgmjXKY6GH7wVWQRZ5KX3v3Xuro/+Exn89zc/wA+9qZL4WfLbcyZj5ZdS7VO4dgdk5J44cj8gOrcQ0dFknz7elJ914AyQnITpaTJUTrWsj1FLkaiT3v3XutvL3737r3VVf8AOU/mWba/lWfBrsH5J1VBjtxdl5Ouous+hNk5SSVaHdvcO66OpnwS5ZKdkkbG4qkpK7OZREkjaWmo5KeKWOeeFvfvfuvdaA38nz+Ud8hv+FBPyR7Z+a/zh7c7Cm6Hxe+/F2t2e9VE/YPdPYbU0OT/ANE3WlTWxSUOGxmJx81GK2ohpTT4yjkosfjqQGTXQ+9+6919Iz4nfAD4Y/BralFtD4p/HHq7pujpaJKGqz23duU1Tv3cEaIIzNu/sjM/c5/MTMBYy5PJTtb0ghQAPe/de6OD797917oIu5+gOjPkZtGq2D39071l3Tsqsjmjm2v2jsfbe+cKDMmh56eh3JTVCQzCwKTwhZEYKyMrKCPe/de60hP5yX/CR7Z42tuv5G/yqqLL4Tc2Bp63cO5/h/lszX53G7lo6dTV1s3Q26M5LLX0uSQBnj25lKqoiqrmOgqaR44KGo97917qD/wmp/4UH9gZLf21v5ZP8wnd+XyW463ILsX40919hT1Ue8aXdtDMcbS/H7tvJ5grUVFTPIhpNt5GuP3YqwMTUNM01EIPe/de635vfvfuvdayP/Cub/tzJ2V/4nDoX/3sT797917oL/8AhG3/ANukNy/+Lgdyf+8Ps/3737r3WzT3J0X0p8itlT9bd/dR9ad29eVORx+Xqdi9sbH212FtCoyuJkMuLyc23N101XRtUUzMzQTGHUhJKkE+/e/de6KL/wANFfyqf+9bHwQ/9JN6K/8ArF797917r3/DRX8qn/vWx8EP/STeiv8A6xe/e/de6Lp8wP5VH8sTa3xK+Ue5ttfy7/hHt/ce3fjp3bndv57C/FvpPGZjCZvEdaZPIYrL4nJUWESanqaaeOOaCeJ1eN1V1YMAffvfuvdaVv8Awj1+Mnxt+TXyS+YmC+SPx86P+QeE2x0fsXLbaw3d/U+w+18Vt7K1m/Xo6vJ4PH78oK+GkqJYQIpJqdEdk9JJXj3737r3W/b/AMNO/wArL/vWn8AP/SN/jr/9jnv3v3Xuvf8ADTv8rL/vWn8AP/SN/jr/APY5797917pZdffy4v5efUu89vdj9VfA74ZdZdh7Srv4ntTfnX3xe6Q2ZvPbOS8L0/8AENvbo25g6auop/HI8flpp0fSzLexI9+9+690c33737r3Xvfvfuvdau3/AArX+aX+yyfyu8v0tt3LfYdi/M/euO6bx8VPP4clB1hgfHvTt/LQqSNdNLSwY/blYtj+3mRwP1L737r3Wm784f5Z/YH8rr4MfyX/AOZH17TV22u6N1vR767YzTpVRLtnuDI7oPyW+MTVVDqHhrYdtGoxmQiZkcSYgAi7FY/e/de6+ph8WfkFs/5X/G3ov5LbBdTtHvPqvZHZ2HpvOtRNio93YCDLVWArpEAtVY6eSWgq0IBSeGRGAKke/e/de6Hv3737r3SZ3psvZ/Y+0Nz9f9hbV27vnYm9cDldrbx2Zu7DY/cW1t1bazlE+NzW39xYDLRzUtbRVdPJJBU0tRE8csbMjqVJHv3v3XuiLf8ADRX8qn/vWx8EP/STeiv/AKxe/e/de69/w0V/Kp/71sfBD/0k3or/AOsXv3v3Xuvf8NFfyqf+9bHwQ/8ASTeiv/rF797917r5yv8AKU+P3Q/Yv/CmbcHQfYXSnUu/ei6b5F/zAcDB0xvbrnZ+6+qYsJsraPYFRs7EJ17n6OoxApsTJRUcmNg+00UzQQtCEaJCvvfuvdfR6/4ad/lZf960/gB/6Rv8df8A7HPfvfuvde/4ad/lZf8AetP4Af8ApG/x1/8Asc9+9+691mp/5Uv8rqkqIKuk/ltfAalqqWaKopqmn+Hfx4hqKeohcSQzwTR7dDI6MAyspBBAIN/fvfuvdH59+9+69173737r3Xvfvfuvde9+9+69173737r3XvfvfuvdV0/zQv5lXRv8rL4r7p+SPcspzWT8p2x1J1ZjshBQ7l7d7MrqSSow20cRNKsv21MixvV5bJtDIlFRxyy+OabwU0/vfuvdfOJ+Pnxx/mYf8KoPmxujtntvf1RtjpvY2Tjo959mV2PyL9NfHfZ+Vn++x3UvR+xGqESuzE1OiyLRJUiafStfm68PKk0/vfuvdfQn/l//AMkv+XV/Li2/hE6N6F21uPtLG09Ocl8g+2cdiuwe6sxk4lAnyNHunK0/iwSSkKWodt0uPpTpVmheQGRve/de6tl9+9+690C3enxw6A+TuzKvrv5E9MdZd27JrI5o3252dsvAbyx1O86BWq8ambgmajqVsrRVdK0c0bqrxyK6qw97917rQ0/nS/8ACU+q6Owm4fmF/KkO9KjGbFkk3xu/4tLmcxnd87RpMI/8Vk3X8d93SyPl8g2P8a1P9366efJDQ8mPraqXwUA97917o7P/AAmr/wCFEWe+VVft7+X/APOzd65D5EUuOek+P/emeqIoKzvHH4ejaabrnsOqk0q+76SmiaXH5RvVmYY5I6n/AHKxCXK+9+691ut+/e/de69797917rVR/wCFjH/boeg/8Ww6W/8Aec3N797917oA/wDhL5/L8+CPyH/lN9f9l9+fDL4s919i13cPdWLrN99r9B9Xdg7wq8Zid1CmxWPqdybrxdVWPBTR/twRNMVjXhQB797917rYb/4aK/lU/wDetj4If+km9Ff/AFi9+9+6917/AIaK/lU/962Pgh/6Sb0V/wDWL3737r3Xv+Giv5VP/etj4If+km9Ff/WL3737r3ReO8/+E+f8nXvzb1dgNxfBLpfYU1TBIlHuLozEVHRm4cRUspENfQ1PV0uMp5XiJ1LFXU1RTsQBLDIvp9+9+691or/zbv5GXyo/kVdibS+dXwh7l7J3J8f9rbxx0u3e38RPHhu5/jtufIVQocJh+0ZdvRw0ORxGUaQY+LNwUcNDVvK2MyVBT/cUy5D3v3Xut1n+QR/OPw382z4uV9fviHC7Z+V3RcuF2x3/ALRw6fZ4rOrlqeX+6fbe0sezMYsZnVpapKikDE0VfT1MFhTtRyTe9+691fL797917r3v3v3Xuve/e/de6qP/AJ6HzS/2Q7+V58pu7MTlv4T2LmtlS9PdPSwz+DJL2j28TsvA5bEEkBqjCU9RW7j0k8x4+ThraT737r3Xzhc//KCyOK/4T0bR/miHCVq9kVvyryOUyTlJoVp/ifm5o+jsHXVVIfUZV37QpU08rKFajyCyqQvqk97917r6S/8AJQ+Z4+en8sn4q9/ZPK/xbsBuv6XrXt+WWby5A9s9UyHYm8snk1uTHLl5aKPPRoST4K6E359+9+691an797917r3v3v3Xuve/e/de6QnZvVvWndWxdw9X9w9fbL7U623bT01HunYHYm2MLvPZm5KSjr4srSU2d2zuGGooquOKpggqI0nhYLJGjgBlUj3v3XuiV/8ADRX8qn/vWx8EP/STeiv/AKxe/e/de69/w0V/Kp/71sfBD/0k3or/AOsXv3v3Xuvf8NFfyqf+9bHwQ/8ASTeiv/rF797917r3/DRX8qn/AL1sfBD/ANJN6K/+sXv3v3Xuvf8ADRX8qn/vWx8EP/STeiv/AKxe/e/de6pC/nx0/wDKD/lQfDrLbu29/Lk/l9ZL5Q9yx5nYvxo2ZW/EzoKrCbkSjQZ7tHO4yXBHyYba0NRDVzoyFKmsloaBiiVbyxe9+691X7/wkT/lBZbbaH+bF37havE5rc2M3Ptb4i7UqIGxBh2zn6afbm/u7azG04jCw5Onkq8Ft2BlWI0jV1YIXiqMbOvvfuvdb53v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3XuqCvkv/AMz57Q/8Oeo/9x4/fvfuvdAZ797917pYdef8f/sf/wAPDbP/ALuoPfvfuvdbHHv3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de697uPx3/FvoP8AqDpf+tC+/t75X/5Vrbv+eWD/AKtJ1zjvP9zJf9O3/Hj1Cxv/ABbqD/qCpf8ArQvuZ7POk3U33737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69172Tj5cf8AAbYf/Lfcn/Wuh98Qv753/kme3n/NXe/+ObV1kd93v+23X/S23+GfqtX+Yp/wC6l/6it7f9asV7JX74S9ZL9Vg+/e/de69797917r3v8A/9T5/wD7917rf49+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+6918rPY/wD3F8Vv/jVDsP8A97HJ+/e/de6+qZ797917r3v3v3Xuve/e/de69797917r3v3v3XuiP/zN/wDt21/MH/8AFH/lh/74bP8Av3v3XutIP/hD7/zP358/+If6X/8Ae0zPv3v3Xuvoue/e/de6+bn/AMLdf+yvPhZ/4rfvD/351R797917o/387z+UJ/s538oT4XfNro7a/wB78mfil8Juhajd+Lw9H5cx218d6DqPGZrceEWGFfJU5LasklTncUinVJSvk6VEmqJqRE97917pV/8ACRv+b5/pw6nf+Wb31ujz9tdF7dqMz8Z83may9Zvvo7GWOU61SeqOqbIbOLB8fCrl3wjrHFEkOGmkb3v3Xut2P3737r3Xvfvfuvde9+9+69173737r3Xyw/8AhW//ANvqsJ/4r/8AHn/3e5j3737r3X1PPfvfuvde9+9+6918uP8Akf8A/cVFun/xYD+Yt/7zG/vfvfuvdfUc9+9+690RL+Zx8SKL51fAT5VfFaelpqrMdrdR7hpNimrMa09F2ntsJvLqfKTySEBY6bcmOxc8p1LeNWXUt7+/e/de60b/APhFz8r63rX5U/KL4M7zqanF03c2xKTtTZuGywlppcf2h0pkHwu8MBS0Mul463IYPKy1VWrpcJhQCVK2b3v3Xuvo++/e/de69797917r3v3v3Xuve/e/de6qz/nV/ML/AGRj+WJ8t+/cdlP4Vvim6zr+u+qqiKbxV8fafbMyddbJyWNQENJJi6rIjNSIpv4KOViQFJHvfuvdavv/AAic+HH8L2Z8r/npuTFaKvdeVxPxj6qr54TFOmB28tJ2J27VUzSC8lNW10+1qaOWOyiXH1MZLMrBPe/de63zvfvfuvdamP8Awsx/7dMbE/8AF0On/wD32W+ffvfuvdDB/wAJGf8AtzJ1r/4nDvr/AN7Ee/e/de62bvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3VUH89P/tz9/MR/8Vg7D/8AcJPfvfuvda0P/CHT/mVv8xP/AMP/AOOH/vO7w9+9+691ve+/e/de69797917r3v3v3Xuve/e/de6xzQw1EMtPURRzwTxvDPBMiywzQyqUkiljcFWVlJDKRYjg+/e/de6+SX8/wDYdR/In/4UFLv3pWjn251r1v3V198ler8DilNJTS9Hdphcjv3q2ghTlcbHBU7m2ZGoYs1JECW1sSPe/de6+tZjshQ5fH0OVxlVDXY3J0dLkMfW07iSnrKGtgWppKqCQcMkkbK6kfUEH3737r3Xzxv+Fv3bmbrO4Pgj0PHVyxbb271t2x25V0MchWCvze890Y/ZuPq6uEfqejgwNUlOx/SKmYD9Z9+9+691tyfyL+kdsdBfyiv5f2z9r0NNRxbn+NHWvc2eeGJFmrt2984GLuXdFVWzKAZZVrM5JAHYm0cccanQiAe9+691bD797917r3v3v3Xuve/e/de69797917qhTuj/hOp/L877/mP0f8AMU7B21l58s9Lh9x7q6JwzQ4LqzsDu7A5T7vHdy7y/hxSrmqJIkpzkcTTtDS5CsgStrjUNPXRVfvfuvdX1+/e/de61kf+Fc3/AG5k7K/8Th0L/wC9iffvfuvdBf8A8I2/+3SG5f8AxcDuT/3h9n+/e/de62vvfvfuvde9+9+69173737r3RX/AJvf9kXfLz/xV/v7/wB9RlvfvfuvdaEf/CIb/sqf5wf+K/8AXv8A78V/fvfuvdfR89+9+69173737r3Xvfvfuvde9+9+69173737r3Xzk/5x+Vqv5xH/AApI+M38uzblVUZrpr49bh2n1FvWLHzSSUMcNIg7s+Wu4qWRD+zWU+FpBtyXUUH3WHjQG7Bm97917rbw/nm/C2l+av8AKo+U/Ru3cDBUby2p10e2umsdj6OMVFPv/pNRvbb2A2/TRAJFLlqOiq9uRgKFWKvcDSLEe9+691TR/wAI1Pmh/pj+CXaHw/3Jlfud3fEXsiTKbRpJ5v3j013dU1m6sTBTJKS8v2W5qfcwnZCVijqqOMhNSave/de63E/fvfuvde9+9+69173737r3Xvfvfuvde9+9+6918uP+TF/3Fgbm/wDFoP5k/wD7xnZPv3v3XuvqOe/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917rokAEkgAAkkmwAHJJJ9+9+6918nL+a38nu4/wDhQF/OW2f8a/jtk3zXVmI7JqPjb8W6DzVE+1aTbNBkmk7U+QWVipNV6XJCgrdyVtZHEJlwdDQwMjSUg1e9+6919Nr4OfDHpf8Al/8Axh6t+K/RGFjxmyut8HDTVuXlp4Is9vzd9Wiz7s7E3dUQD9/KZis11VS19ESmOmgEdNBBFH737r3RtPfvfuvde9+9+69173737r3XvfvfuvdfM1/4VQfytar4FfKHrz+ZR8T6Su66627x7Hpspug7I8mFHS3yuwkzb1xu6ts1OP8AGcfFucUlRm6JYP8AgPlKLIurxxz0kKe9+691u4fyWv5imO/md/y/en/kfVy4+LtTHxVPV3yAwmPWKCDC91bGpaeHc9RBRwjRT02app6DcdBTKWENLkIYSxeN/fvfuvdWte/e/de61Uf+FjH/AG6HoP8AxbDpb/3nNze/e/de6ED/AISM/wDbmTrX/wATh31/72I9+9+691s3e/e/de69797917r3v3v3Xuve/e/de6DPubqDrz5A9Tdj9H9s7co929adsbM3DsLe+3K9A0GU25ubGyYvJQJIQWimVJDJT1EdpIZVSWNlkRWHvfuvdfLM/ky7u3v/ACmf+FEWK+MGfzlS+Ay3yA7F+BXYrP8A5LBvjDbw3W+1Oqs+IRdEWp3JTbWzVOSurws0Q0eVre9+6919X/3737r3Xvfvfuvde9+9+6918/b/AIV7d+7w+Tfy3+Cf8pzpWc5nc1fuLbW/Ny4GmmeSlyPcXee4B1T0lgslHFcxVONx75Ssa6H/ACfNRP8ATj3737r3W4pu74AdT5/+W1lv5bFFDBTdWS/FMfGPCZCekTz4+LG9fLtDbu+JIU1asjS18NPmzMdTNVp5WLsST737r3Wnv/wjh+Su6OmO8Pm9/K37fM2A3Th85lO4NqbWyEvibC9k9YZmLp/v7baLLxJWSxpt6ZYUAYR42rkIYBinvfuvdb/vv3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de6B/5Ad89WfF/pXsz5B927qotldVdR7Sym8967jrTqFHisXFqWloaZTrqq2rmaKjx9FCGmqqqWGnhV5ZUU+9+69181n4x9V96f8KpP5w+7+/u8KDcO1/hd0vVYas3Rg4q2oWg6+6LxOXqJ+sfjxtzJ0pCf3h3bMlZVZqugdCuvL5GEx+KipT737r3X069tbb2/s3bmA2htLCYvbW1dqYTFbb2ztzB0NPjMLgNv4OhjxmGwuIxtIqRU9LS00UcFPBEoSONVVQAAPfvfuvdPfv3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3XuqCvkv/zPntD/AMOeo/8AceP3737r3QGe/e/de6WHXn/H/wCx/wDw8Ns/+7qD3737r3Wxx797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve7j8d/wAW+g/6g6X/AK0L7+3vlf8A5Vrbv+eWD/q0nXOO8/3Ml/07f8ePULG/8W6g/wCoKl/60L7mezzpN1N9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9k4+XH/AbYf8Ay33J/wBa6H3xC/vnf+SZ7ef81d7/AOObV1kd93v+23X/AEtt/hn6rV/mKf8AALqX/qK3t/1qxXslfvhL1kv1WD797917r3v3v3Xuve//1fn/APv3Xut/j3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xys9j/APcXxW/+NUOw/wD3scn797917r6pnv3v3Xuve/e/de69797917r3v3v3Xuve/e/de6I//M3/AO3bX8wf/wAUf+WH/vhs/wC/e/de60g/+EPv/M/fnz/4h/pf/wB7TM+/e/de6+i5797917r5uf8Awt1/7K8+Fn/it+8P/fnVHv3v3Xut9r4Gqr/Bf4ZI6q6P8TfjsrowDKyt0/hwysp4II4IPv3v3Xuvm4/z4P5f3af8j/8AmUda/OP4a/d7A6W7J7HfuLoXM4OlcYXqHt/D1n8X350jk6aDTD/CKhZZanGY2YJBV4WqqMYEmjoKtj737r3X0QP5Yv8AME6u/mafDjqz5VdZtS46q3JQnb/aGxY6xauu6v7dwFPFHvnYeQY2kKQTSR1eNnlRGqsdUUdZoQVAUe9+691YB797917r3v3v3Xuve/e/de6+WH/wrf8A+31WE/8AFf8A48/+73Me/e/de6+p5797917r3v3v3Xuvlx/yP/8AuKi3T/4sB/MW/wDeY39797917r6jnv3v3Xuve/e/de6+V1/MPxVZ/JR/4UxYv5DYKjqMF1Xle9tnfLHEpQwyRDI9K/IKsqsT8gsFiKWD0xxJUVO+MHRwxhkSOKKyaf2x737r3X1O6Kto8lRUmRx1VT12PyFLT1tDXUc0dTSVlHVRCelqqWohJSSORGV0dSQykEEg+/e/de6le/e/de69797917r3v3v3XutA/wD4WxfLyWVPiF8BtrV8k1TXVGX+T3ZmIpHZ55bNWdXdMUrQ092fySNu+V4HHLJTOqk6SPe/de622v5Svw9i+B38uj4n/GOfHx47dex+q8Rl+zY1RfJJ25v6WTf3aQlnADSrBnMlXUlM8nqFPDCnpVFVfe/de6sW9+9+691qY/8ACzH/ALdMbE/8XQ6f/wDfZb59+9+690MH/CRn/tzJ1r/4nDvr/wB7Ee/e/de62bvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3VUH89P/tz9/MR/wDFYOw//cJPfvfuvda0P/CHT/mVv8xP/wAP/wCOH/vO7w9+9+691ve+/e/de69797917r3v3v3Xuve/e/de69797917r5g3/C1GbDyfzQ+iI6IxHLQfBfrhM2YtN1L969jS46Op0/7tERLernxtH+Le/e/de6+jr8R4stB8UvjHBnhKuch+PXS8WZWfX5xlo+t8amRE3kJbX5g+rUSb/Xn3737r3Wjx/wALefjzuNsr8HfldjsfUVO00xvZHx83fk0if7bDZ81dP2L15RzzAFdWRpzuZ4wSDaib63497917rYy/4TgfMLZfy4/lKfFqDB5mjqN8fG7YeC+MHaG21qEfJ7Zy/TuLi2vs2Stgvr8WU21Dh8nTTW0N5pIgxkglVfe/de6vZ9+9+69173737r3Xvfvfuvde9+9+69173737r3XvfvfuvdayP/Cub/tzJ2V/4nDoX/3sT797917oL/8AhG3/ANukNy/+Lgdyf+8Ps/3737r3W19797917r3v3v3Xuve/e/de6K/83v8Asi75ef8Air/f3/vqMt797917rQj/AOEQ3/ZU/wA4P/Ff+vf/AH4r+/e/de6+j5797917r3v3v3Xuve/e/de69797917ouvy6+Ru0viH8X+/Pk9vkxNtrovqnenZFZRSTinfN1e28LLWYXbNJKf8AlJytcKbG0g/tTTxr+ffvfuvdaPn/AAjs+Pm7e/vkv86f5pPcfk3Buquy2W6xwG6K6AyJmu2e59wDt7vXcNO8l/FW0tMMLFrVi3hzE6GysdXvfuvdfQNIvweQeCD+ffvfuvdfNY+F9T/wyd/wqc7B+OFUf7sfH/5H9iZzpvCU5/yfCxdY/J2aj7I+OoodVoG/g245MBt+orDp8KxZBbreRD737r3X0p/fvfuvde9+9+69173737r3Xvfvfuvde9+9+6918uP+TF/3Fgbm/wDFoP5k/wD7xnZPv3v3XuvqOe/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917qmn+f8A/L+s+FP8p/5Ydobdyk2J7B3ps6HorrKrpJzS5Gl3j3TVjY8mZxNSpBjq8RianKZyncch6IEAn3737r3Wq1/wii+F1BuLsD5S/PjdWIWpXrrH4r439QV1RAs1PT7o3bSxb17dydI8g/araLFLt2iiljJY0+Vq4zpV7P737r3X0O/fvfuvde9+9+69173737r3Xvfvfuvde9+9+690Vf5pfDbo359fHPfXxb+ReDyWc6s7Bl23VZePBZJcJuPH5Dae5qTdeFye3s74pno6mOpo40aWNLtC8sJ9Erg+9+690zfDD4EfEn+Xx1rW9TfEPpvB9QbOzGRp81uNKDI7g3Bnd2Z2molx8Wb3TundlXXZGvqREuhGnqWWNSUiVE9Pv3v3Xujg+/e/de61Uf8AhYx/26HoP/FsOlv/AHnNze/e/de6ED/hIz/25k61/wDE4d9f+9iPfvfuvdbN3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de6+UB/Mu8dd/wquysew7ffS/zCfhhSY37AF5P73xt1/S5LxKliZv4ss+oDnyXH19+9+6919X/wB+9+69173737r3TXm83iNtYXL7jz+Ro8PgcBi8hm83l8hOlNQYvEYqkeuyWRrqmQhY4YIY3lldjZVUk8D3737r3Xzkf5GuOy/83n/hRT8lv5ke9MfWV/W/SuU3x3ZteLLQPLFjJ80jdMfFjZWQV/0VWL23FJkqd/SPuMJrsL6ffvfuvdfSC9+9+69182H+bbFW/wAmn/hTF0v87tvUtTh+nu9Nz7L+QG6P4bBL9pU7d34Kjpz5Zbfj0C0+QqIv4ruExsrBJspSSWuFt737r3X0lKGuo8nRUeSx1XTV+PyFLT11BXUc0dTSVtHVxCelq6WohJSSORGV0dSQykEEg+/e/de6le/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de6+cb/wos/mLdr/zWPmz1v8Aya/gO9VvvZW2O2KHaO95ttVrLiu5vkRRTyU2QpMjk6bUg2n1/ElZLW1ktqUVcVfkJhJT42gqh737r3W7D/K3/l1dUfyvvh7118X+s1pctl8bD/ejt3sRaJaPI9qdu5ukhXd29a5Dd0gJhiocTSyO7UuOp6WnZ5HjeV/e/de6sR9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3VBXyX/5nz2h/wCHPUf+48fv3v3XugM9+9+690sOvP8Aj/8AY/8A4eG2f/d1B797917rY49+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvdx+O/4t9B/1B0v/AFoX39vfK/8AyrW3f88sH/VpOucd5/uZL/p2/wCPHqFjf+LdQf8AUFS/9aF9zPZ50m6m+/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3XuveycfLj/gNsP/AJb7k/610PviF/fO/wDJM9vP+au9/wDHNq6yO+73/bbr/pbb/DP1Wr/MU/4BdS/9RW9v+tWK9kr98Jesl+qwffvfuvde9+9+69173//W+f8A+/de63+Pfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3XvfvfuvdfKz2P8A9xfFb/41Q7D/APexyfv3v3Xuvqme/e/de69797917r3v3v3Xuve/e/de69797917oj/8zf8A7dtfzB//ABR/5Yf++Gz/AL97917rSD/4Q+/8z9+fP/iH+l//AHtMz797917r6Lnv3v3Xuvm5/wDC3X/srz4Wf+K37w/9+dUe/e/de633PgX/ANkM/DD/AMVP+Ov/AL6DD+/e/de6Rv8AMZ+CPVH8yL4hdsfE/tuGOmx++cT99sreCUcdXletOzsJG9VsXsPCKxVvNj6sgVMKSR/dUUlVRSOIaqS/vfuvdfOF/ktfOft7+Qf/ADROzPh18xPutmdLb339S9LfJTD11TPLt7r7duPqjF1r8iNvyzqgkxaQ1cU1TXRKq1m3681gSeSmoUX3v3XuvqrwTwVUENVSzRVNNUxRz09RBIk0E8EyCSKaGWMlWRlIZWUkEG449+9+691l9+9+69173737r3Xyx/8AhXFFJH/Oo287rZZ/j38epYjcHXGNxZqEtx9PUjDn+n9PfvfuvdfU49+9+69173737r3Xy4/5H/8A3FRbp/8AFgP5i3/vMb+9+9+6919Rz3737r3XvfvfuvdaRX/C1L4df33+Nfxt+bu28V5c30Vv3IdM9k1lLFed+uO2ohk9pZXKzH6U2K3DjfsacAg+XNnhgbp737r3V23/AAnU+Xv+zkfykPizu3KZT+J776e27P8AGrshnm+4q4txdJrFtvb1RkqgktJVZDbB2/l6iR/U0lWxbUTqb3v3Xurv/fvfuvde9+9+69173737r3XzDOqov+HvP+FUuT3nJ/v6ehOqu76/fKuLV2Bb4/fDdafB7FkNMbj+HbtzmOw4qo72L5yUn9RHv3v3Xuvp5+/e/de69797917rUx/4WY/9umNif+LodP8A/vst8+/e/de6GD/hIz/25k61/wDE4d9f+9iPfvfuvdbN3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917qqD+en/ANufv5iP/isHYf8A7hJ797917rWh/wCEOn/Mrf5if/h//HD/AN53eHv3v3Xut733737r3Xvfvfuvde9+9+69173737r3ULJZHH4fH1+Xy9fR4vFYqiqsjk8nkaqCix+Ox9DA1TW19fW1LLHDDDGrSSyyMFRQWYgAn3737r3XyWPk9uiv/wCFAH/ChOLbnVa1+Z6j7S7s2f1Js3JUsc4TF/F7pSkSk3t2RFcB4YazD43O7riimKMJaxaf0OVUe9+6919a2lpqaipqejo4IaWkpIIqalpaeNIaempoIxFBBBDGAqIigKqqAAAAOPfvfuvdFH+ePwn6a/mGfFjtT4od50M8mzOycQiUOfxqQHcew944qYZHaG/9qz1AKx5DFVqR1CK37c8flpKhXpqiaN/e/de6+X4aP+ab/wAJYvnPWZGmolq9j7vmbFplKqhzGS+NPy76yxNa1TRxySQuho8xQLM0qwiaHMYWeZxeSgq2+/8Ae/de63vf5af/AApG/l2fzEKHbe0Mjv2i+L3yOyq0tHV9G935vH4any+cmCxmk6w7PqFpsNuFJpSY6OmL0eVlsS2LjWxb3v3XutgX3737r3Xvfvfuvde9+9+69173737r3XvfvfuvdayP/Cub/tzJ2V/4nDoX/wB7E+/e/de6C/8A4Rt/9ukNy/8Ai4Hcn/vD7P8AfvfuvdbX3v3v3Xuve/e/de69797917or/wA3v+yLvl5/4q/39/76jLe/e/de60I/+EQ3/ZU/zg/8V/69/wDfiv797917r6Pnv3v3Xuve/e/de69797917r3v3v3XutMv/hZx80v9FPwv6b+F22ct4N0fKnsP++O/aOnmvIOnekqmlzaUOQgjIMa5HdNVgp6R39MgxlUgVirFPe/de6uu/kKfDf8A2R7+VX8U+p8riv4V2Du/ZMfeXbEU0PgyI7C7m072rMVmEAA+6wuPqMbt5yONOPXlv1H3v3XurhvfvfuvdaC//C074oZXAZT4bfzFev4qvE5vAZOq+Oe/ty4kyU1fjMljqqq7Y6LzMNTSWaKWCePdkbVTkFX+zjVr6B797917rcK/ltfLjF/O34J/F/5X46akeu7f6owGV3lTUPjFJiezcIH2r2pgqdY+BHQbjoMpSR8KSkatpW9h737r3R3vfvfuvde9+9+69173737r3XvfvfuvdfLj/kxf9xYG5v8AxaD+ZP8A+8Z2T797917r6jnv3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de60b/8Ahb33HVYT46fBfoGCqlWl7J7n7U7byNLG5EcjdM7Kx+0ca9Uin+u+agxBhYlWI5Xj3v3Xurdf+Es/SlJ05/Jb+M2R+yWjzvdWd7c7r3PpUD7ur3F2TkNr7ZrWb6sX25hsILn6W0/QA+/e/de62G/fvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+691qo/8ACxj/ALdD0H/i2HS3/vObm9+9+690IH/CRn/tzJ1r/wCJw76/97Ee/e/de62bvfvfuvde9+9+69173737r3XvfvfuvdAz8ie/esfiz0Z2p8ie5twQbX6w6d2Vm99bwy8zReVcbhqUzR47GQSsn3FfXTGKhx1GjeSpqpoaeMGSRQfe/de6+YH/ACIesuw/5rH8/wAk+Xm98JKdv7H7g7I+dvbE6h6nGbZzJ3RUZrqTamPrplEeuHdFdhY6GnNnNFQ1MkS2p2Ke9+6919WL3737r3Xvfvfuvda8f/Cn/wCaX+yf/wAprufD4LLfw7sj5U1lF8YNkLBNprExW/6KprO1siIoyJBCu0qLM0X3CkCKpq6W7XdVb3v3Xui/f8JFvhv/ALLl/K9p+89wYr7Hf3zM7DzHak81RD4cjF1ds2SXYHVmLqBb1QSfbZjP0b3OqLLKeL2HvfuvdbTvv3v3XutRz/hYr8OP9Of8ujZ3yf2/ivu95/Dfs+hzGVqooRLVL0/3JUUewt708SR/uMI84m1K6RuVigp6iRgF1OvvfuvdH/8A+E2fzP8A9nQ/lMfHnKZrK/xPsf4+UtV8X+yjJP56v+JdR0dNSbHr6yWQ+WWWu2jU7erKieQXkqZJ/U5Usfe/de6vk9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvdav/wDwpp/nLJ/Ln+M4+O/Rm6VovmR8nNuZTH7brcXVhcv0t1DUvJhd0dtyNAfLTZKrYT4nar+giqFVXxOWxbRS+9+690Xr/hKp/Jqf4j9Ip8/fkTtd4Pkz8kdqxN1bgM/SH+LdOdD5wR5Kkq5qepGqmz27wIa+tLXmpsaKSlvBLUZKBve/de63Bffvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3VBXyX/5nz2h/4c9R/wC48fv3v3XugM9+9+690sOvP+P/ANj/APh4bZ/93UHv3v3Xutjj3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde93H47/AIt9B/1B0v8A1oX39vfK/wDyrW3f88sH/VpOucd5/uZL/p2/48eoWN/4t1B/1BUv/Whfcz2edJupvv3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3snHy4/4DbD/AOW+5P8ArXQ++IX987/yTPbz/mrvf/HNq6yO+73/AG26/wCltv8ADP1Wr/MU/wCAXUv/AFFb2/61Yr2Sv3wl6yX6rB9+9+69173737r3Xvf/1/n/APv3Xut/j3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xys9j/APcXxW/+NUOw/wD3scn797917r6pnv3v3Xuve/e/de69797917r3v3v3Xuve/e/de6I//M3/AO3bX8wf/wAUf+WH/vhs/wC/e/de60g/+EPv/M/fnz/4h/pf/wB7TM+/e/de6+i5797917r5uf8Awt1/7K8+Fn/it+8P/fnVHv3v3Xut9z4F/wDZDPww/wDFT/jr/wC+gw/v3v3XujYe/e/de60zf+Fan8oT/Zk+jk/mLdEbX+57y+N+2Gou9cLhqMGv7J+PmNd62XdckUAJnyWymeaseQgNJh5KwSSMMfRw+/e/de6UH/CTf+b3/s1Xx/f+X93ruj7r5BfGHa1PL1HmczWBsj2j8dsdJFi8bjUlmN58nsx5KfFzLw0mLkx8irK9NXTD3v3XutxL3737r3XvfvfuvdfLT/4V2f8Ab6HZv/it/wAfv/ey3D797917r6lnv3v3Xuve/e/de6+XH/I//wC4qLdP/iwH8xb/AN5jf3v3v3XuvqOe/e/de69797917oln8xj4oYz5x/Bn5RfFPIwUktV3J1DufAbTmrigpMX2PjYBuTq3PVBksNGO3HRYqua5HEVtS/Ue9+691pG/8ItflNk+vO+/mB8AN+SVWHn3pt+i7v2Zt/LhqKbEdhdVZNdgdqYFKOWzfxCtx+QxU00RXUsWGlPGlvfvfuvdfRF9+9+69173737r3VWf86v5hf7Ix/LE+W/fuOyn8K3xTdZ1/XfVVRFN4q+PtPtmZOutk5LGoCGkkxdVkRmpEU38FHKxICkj3v3Xutbf/hFL8OP7p9GfJ75z7lxXiy3bu8MZ0F1hWVUJSoj2J1tFHufsDKY2W3rpMrnK/H0UhvxPhGFha7e9+691vKe/e/de69797917rUx/4WY/9umNif8Ai6HT/wD77LfPv3v3XutRT+Wl/Mj/AJ93xn+LGB6r/l+9G9s78+OFBu7eWXwu4dofC3cfd2Fm3Pmcp91uumi37jcHXxSyRVPpkpxUEwn0kL9PfvfuvdH9/wCHo/8AhWP/AN4t/ID/ANNo7y/+xf3737r3Xv8Ah6P/AIVj/wDeLfyA/wDTaO8v/sX9+9+6917/AIej/wCFY/8A3i38gP8A02jvL/7F/fvfuvdXVfyGv5iH8835UfNXcXWv8x3pTtPr3oKj6E3zurF53efw73B0NiJeyMXu3btBt3HR71ymFx8ck8lFWZR0oBOWlVGkCEQkj3v3XutxL3737r3XvfvfuvdVQfz0/wDtz9/MR/8AFYOw/wD3CT3737r3Wmb/AMJJf5i3wl+C/XvzdxXy3+RWxOi8j2NvPozIbIpd4/xvybjottYTc9Nnaig/hNJVDTTPWUqyaypvItr8297917rcC/6CC/5Mn/ewTpD/AG+8v/rV797917r3/QQX/Jk/72CdIf7feX/1q9+9+6917/oIL/kyf97BOkP9vvL/AOtXv3v3Xug87H/4UpfyVetcDVZur+bm094zxQvJR7f642H2vvjPZSdRdKOlhw2Cemhd/or11TTxD+1Io59+9+691p6/zbf+FJXyG/mtq3wM/lz9O9p7E6i7gyC7LzUFLj2z3yS+RtPXSFV2NTbc2S9bHg8JWKCMjjKCrrKmuhUx1VXFRSVdDL737r3Wy5/wnF/kTS/yves818gfkbRYfI/Nfu3bdLh8zjaGoosvjuhOtZ6iLLnq/EZmjLw1eXr6mGmqtzV9NK9MZKemoqN5IaaWrr/e/de62gPfvfuvde9+9+690DvfPx76Q+UXWO4emfkP1ZsruLq/dEQjzOy9+YOjzmImmjVlpclRrUr5KOupixko8hRyRVNNJaSCWOQBh737r3Wkp/MH/wCEXe1s9V5zf/8ALa7yj2PNO1TXRfHr5C1eVzG1oWZjMMbsnuTEQVWVpYUUeKlpM9jMhI7sDPlo1BI97917qm7bfyq/4Uef8J+6+g2z2pgu306GwVXTY2g2t3tiaj5C/FiupI5RFj8Ps7tLA1tVHgo5QQ8eNwG58bMNd56YOSo97917rZc/l9f8LCfhP8hp8HsL5obLzXw27IrjBRf34Wqq+xPj/la9yIUln3NjqaPM7f8APIdQjyeLmoqZLmoy1lLn3v3XuttnZO+NldlbTwO/Out37Y39sfdWOhy+2N5bLz2K3RtXcWKqbmnyWD3BhJZ6Srp3sdE0ErIbcH3737r3Sp9+9+69173737r3Wsj/AMK5v+3MnZX/AInDoX/3sT797917oL/+Ebf/AG6Q3L/4uB3J/wC8Ps/3737r3W19797917r3v3v3Xuve/e/de6K/83v+yLvl5/4q/wB/f++oy3v3v3XutCP/AIRDf9lT/OD/AMV/69/9+K/v3v3Xuvo+e/e/de69797917r3v3v3Xuve/e/de6+ZH8tqw/zw/wDhUltLoqkY7o6A6X7Xw3SlVCG+6w79I/FWet3t305qkPg8G4M5T7mpaCsUFZBXUKDy+jV737r3X021UKAqgKqgKqqAAoAsAAPoB797917rv3737r3VX/8AOb+HI+d38s75Z/HjHYv+K74ynWlfvrqenjh8la/bPVsydhbBx+PkUFonyddjkw80iAn7ermWzKxU+9+691rN/wDCKb5nnc3UXye+BW6MqZMv1duSh+RHVNDVTa6l9j76MGz+zsXQQk/t0mKzVNh60qBzPmpWJ5t797917rek9+9+69173737r3Xvfvfuvde9+9+6918uP+TF/wBxYG5v/FoP5k//ALxnZPv3v3XuvqOe/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r5zP/AAt/zNRP8ivgbt9pJDSYzpXt3MwRG/iSozu+cZRVUiG9tTLjoQ3H0Vfr+Pe/de63L/5LmFpcB/KU/lxUNHGkcU/w46EzTrGbqarcnX1FuKukP+1PPVSM3+JPv3v3XurN/fvfuvde9+9+69173737r3SXq977LoKmairt37XoqymkaKopKvP4mmqaeVf1RzQTSqyMPyGAPv3v3Xuo/wDpD2B/z3Gz/wD0JsL/ANf/AH737r3Xv9IewP8AnuNn/wDoTYX/AK/+/e/de6zU2+tk1lRBSUm8dq1VXVTR09NTU24cRPUVE8ziOKCCGKYs7sxCqqgkk2A9+9+690qvfvfuvdaqP/Cxj/t0PQf+LYdLf+85ub3737r3RKv+E1X82z+XD8Qf5Wuw+lvkr8tesuoO08Z213Fna/Ze6P7x/wAWpsRn9zitw1dJ/DaCoi0VEXrS0hNvqB797917q/T/AKCC/wCTJ/3sE6Q/2+8v/rV797917r3/AEEF/wAmT/vYJ0h/t95f/Wr3737r3Xv+ggv+TJ/3sE6Q/wBvvL/61e/e/de6AbvH/hUH/Jf6V27W5eh+UtT3VnYKd56DY3SHWvYG6twZlkUkU9Jms7QYrbtO5ICgZDOUw5Bva5HvfuvdaV38wv8Amt/zAv8AhR93rs34Y/EPo7d22+jjuOHMbW6E2pX/AMWzO6qvHTimp+1fkZvxVpsZSUGMEvnjhmeDFYxpA0k1ZVLDV+/e/de63y/5J38o/r7+Ub8UourqXIYvevfnZtXjN5/I3tTHU0sVJufd9JRPTYjae13rEjqV27t6KeopsSlQiPNLNWV7xQSVrwRe9+691cd797917r3v3v3Xuvm1/wDCo7t/eH8wv+b/APFX+WF03kDkP9FVXsDqr7eDyVWPpu+fk/msVkdx5TIilOh6XEbeO2TUSO16UpkAzRjy+/e/de6+iZ051Vs/orqPq7pPr2gGK2H1B17s3rHZmNAQGi2tsTbtPtjA0zmJVUslLSxB2Ci7XNuffvfuvdCR797917oEvkp0TtD5P/Hvu3457+iEmze8erN89WbhkEKTz0WP3ttyowD5WiV7WqqNp1q6WQEMk0aOrKygj3v3Xuvn5/8ACSHv/d/w9/mRfLb+WL3NMcHleyY94YqlwFTO7R4/5E/FnNZLH7owmLhmCaTXYA7gnqZQA0gxVKCpABX3v3Xuvo8+/e/de69797917r3v3v3Xuve/e/de69797917onfz2+bfTf8ALx+K3anyt7wyHi2p11hmbD7cpamCDP8AYe+ckDS7O652pHNfXkMtWaIEbQUp4RNWT6KamnkT3v3XutAH+S58Ju5f5/f8yztf+aD87qA7l+PvW/ZFHuPNYKupqiTZnYHY+KhhresPjptShry6NtbamNXH1Gap3MpkpVo6OqEz5aoqE97917r6YKqFAVQFVQFVVAAUAWAAH0A9+9+6913797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de6oK+S//ADPntD/w56j/ANx4/fvfuvdAZ797917pYdef8f8A7H/8PDbP/u6g9+9+691sce/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3u4/Hf8W+g/6g6X/rQvv7e+V/+Va27/nlg/6tJ1zjvP8AcyX/AE7f8ePULG/8W6g/6gqX/rQvuZ7POk3U33737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69172Tj5cf8Bth/8t9yf9a6H3xC/vnf+SZ7ef8ANXe/+ObV1kd93v8Att1/0tt/hn6rV/mKf8Aupf8AqK3t/wBasV7JX74S9ZL9Vg+/e/de69797917r3v/0Pn/APv3Xut/j3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3XyttlRvH/wr6rVdSjH+abv+QBhYlJd25KWNv8AWZSCP8D797917r6pPv3v3Xuve/e/de69797917r3v3v3Xuve/e/de6I//M3/AO3bX8wf/wAUf+WH/vhs/wC/e/de60g/+EPv/M/fnz/4h/pf/wB7TM+/e/de6+i5797917r5uf8Awt1/7K8+Fn/it+8P/fnVHv3v3Xut9z4F/wDZDPww/wDFT/jr/wC+gw/v3v3XujYe/e/de6jVlHSZGkqsfkKWmrqCupp6OtoqyCKqpKykqojBU0tVTThkkjkRmR0dSrKSCCD797917r5Tn83/AOFXcv8Awn0/mqda/LD4iGr2t0vu3fFb3V8YcxFFVTbe2xWU1UE7R+N25/GyNNj6aCukx/2ryXq9v5CCNppKhKto/e/de6+k5/L5+cPUv8xX4ldSfLDp2pWPA9iYNRuTa01XDV5nrnsHE2ot79d7hMYUirxdcJIklaNFqacwVkKmnqYWb3v3Xujoe/e/de6+Wn/wrs/7fQ7N/wDFb/j9/wC9luH3737r3X1LPfvfuvde9+9+6918uP8Akf8A/cVFun/xYD+Yt/7zG/vfvfuvdfUc9+9+69173737r3XvfvfuvdfMF+fVHJ/JU/4VDbR+SWOifbXTHZXce0/krLPCpgpJenvkrLW7H+SkEUC/s6aTI1G9BR036I1ipWtHZNPvfuvdfT3iljmjjmhkSWGVElilidZI5I5F1JJG63DKwIIINiPfvfuvdc/fvfuvdaDn/C1f5YV+Tf4b/wAvfZM9Tkcvn8nkfkp2Bt7GCSor62oklq+qOkMdDS0up5mqaiXdzGmYeqSOldVZtJX3v3Xutv7+Wj8Scf8ABX4F/Fn4qUtPSwZPqTqTb2O3tJReI0uQ7Qz6vu7tbMU7xXDR1m5MhlKmM6mIR1BZrXPvfuvdHl9+9+69173737r3Wpj/AMLMf+3TGxP/ABdDp/8A99lvn3737r3Qwf8ACRn/ALcyda/+Jw76/wDexHv3v3Xutm73737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+691VB/PT/7c/fzEf/FYOw//AHCT3737r3Xz6f8AhPL/ACMPj3/OD2d8o9x939u9y9Y1XRW5eqsJt2DqqTZCU+Yp9+4vO1+SlzX97sVkmLwtioRB4GjFnfUGOm3vfuvdbHH/AEBL/AX/ALyu+X//AJ0dMf8A2L+/e/de69/0BL/AX/vK75f/APnR0x/9i/v3v3Xutfv+fl/wnCoP5VnUPW3yU+Nu/wDtDujoqsz7bG7pquxqbbU24+st0ZmZf7g58z7PoKCA4TKt5sZJNPTqaavFJEZZDkIY4ve/de6M9/IG/kS/yo/5rHxkPce/+3vlOe9eqd0SbQ7/AOjtvdgdYbf2riclWTTZDZm5MURtKfNtgs9jYy1NJ/EY5ErKfIUomk+08snvfuvdb0nwn/lbfAn+XhjJ6T4lfG7YvWedr6H+H5rsSePIbw7Wz9G5WSejy3Zu856/NNSySKJTj4qyOjV+Y6dAAB737r3R/wD3737r3Xvfvfuvde9+9+69173737r3XvfvfuvdN+WxGKz+LyGEzuMx+awuWo6jH5XEZaipsji8nj6uIwVVDkKCsV4poZUJSSKRCrKSCCD797917rWL/mO/8JTv5efzKo8/vb494aP4S98Vi1VbS5rqfDQTdLbgyjgvHFu7pPyU9BSRObr5tsTYt1ZjNNHVlfE3vfuvdactFu7+dB/wlw+R1HtnLzVadObtzlRX023ayszO/vh58j8bRsqZKt27M32rYvNrCIzPJAuMz1Kvh+5iaikRKj3v3Xuvol/ynP5t/wAb/wCbX0M/aPTs02z+ytm/w3Gd29E7hyNNWbx6s3HkIXalkFVCkK5TB5AxTvh85BBHHUrHJHNFS1kNTSQe9+691an797917rWR/wCFc3/bmTsr/wATh0L/AO9iffvfuvdBf/wjb/7dIbl/8XA7k/8AeH2f797917ra+9+9+69173737r3XvfvfuvdFf+b3/ZF3y8/8Vf7+/wDfUZb3737r3WhH/wAIhv8Asqf5wf8Aiv8A17/78V/fvfuvdfR89+9+69173737r3XvfvfuvdV8fzVvmNSfAj+Xv8p/lKaynpNy9edX5aj61So8brW9ub0lj2R1VSmmkuZoxnsjQTVSKpIpo5pCNKMR737r3Wob/wAIpviHV5PI/L3+YPvOkqK6tqZqD4z9bZzJGWpqqyvrZaPtLuzJtUVZLPKxO0oUqlJZi9ZGz8up97917rf59+9+69173737r3XvfvfuvdfL7NT/AMMY/wDCpmpdj/dT4+dj94MJ/pQbcj+NvzGVZybDSTjNlZfJBrfUy7f/AN2W9fvfuvdfUE9+9+69173737r3Xvfvfuvde9+9+6918uP+TF/3Fgbm/wDFoP5k/wD7xnZPv3v3XuvqOe/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r53n/C4jadTR9u/y9N9Mn+Sbh64+Qe04pAo5qdnbm2rmKhC9r8LnYyAT/W359+9+691t0fyMd302+P5QH8u3NUkiyxUXxc622g7LIZAKnr3GnYNbGWJNik2MkQrf0kFbC1h737r3Vrfv3v3Xuve/e/de69797917rQ7/mFf8JIvk58yvm38nPlPtT5X9EbP253v23ufsXDbX3DtjsGrzeDoM9UCaHHZOpxsLQPNGBZmiJU/j3737r3RN/8AoCK+Xn/eafxv/wDQP7O/+p/fvfuvde/6Aivl5/3mn8b/AP0D+zv/AKn9+9+691SH/K/+PGU60/n6/Fn44PnMZvTJ9D/zCqPaFfujBwVUGF3Kfj12jVVGW3NiKesHmSlqUwMtZTrMA6xsoezA+/e/de6+yR797917rVR/4WMf9uh6D/xbDpb/AN5zc3v3v3Xutf8A/kj/APCaH4pfzPfgXtP5X9t98/IXYG8twdh9k7PqduddS9bptmGh2Xnf4VQVUC7mwdfVeWVPVNqqCur9IUce/e/de6tx/wCgJf4C/wDeV3y//wDOjpj/AOxf3737r3Xv+gJf4C/95XfL/wD86OmP/sX9+9+691qdfz7f5JuZ/lAd2dfRbD3JvHs/4wdz7dM/XHZW8KXFjcOL31tyCOLfXXm8ajb1PS0QrI9cOUxssdNCtRR1HjRZZaGrkHvfuvdbJX8pf/hNp/Jd+cvxY6W+ZGG7I+WPbmH3zhoYt69Wbp7W2DgMTsbsfBAUO/8ArjcZ652tiM0JaCvEiwTplYDU0b01ZEoiqY2PvfuvdbivxU+FHxP+D+xG62+J3QvXnR206hqeTLQ7Nw2jObmqaRGjpa/ee8Mm9TmM3VRoxSOqy9fUzKp0hwvHv3v3XujR+/e/de69797917oL+7u3dmfH/pvtbvXsWv8A4ZsLpzrrefZ+8q+6B6fbWxdvVG5cy0CyEBpTBTOsMd7u5VRyR797917r50H/AAl76s3n/MS/nMfJf+ZT3JQnJv1KexO68jUyeStxtH3n8lszk8BsvB0wqVCfa4/BybploFAH2zUVH40TShT3v3XuvpX+/e/de69797917r3v3v3XuvmV/wDChvZe6/5Vn8/Lo/8AmGdWYuelwHauY6x+UWPpqC9FjsxvjrrK0+ye99gGY2v/ABuipKesyxDepc8/qXVZfe/de6+lJ15v3avamwNjdn7FysGe2R2Rs/bO/dnZymN6bM7V3hhYNw7eytOf9RUUlRDMn+DD3737r3Sw9+9+69173737r3XvfvfuvdYKqqpaGlqa2tqYKOio4Jqqrq6qaOnpaWlp4zNUVNTUTEIkaICzuxAUAkkAe/e/de6+Y/8AzQ/lX3Z/wpN/mr9XfAP4Y5Son+LHVW78vhdlbmSOrm2dkIcS4pO4PlxveGnZA+MpKQSUm2Y5pBJJSeGKmENfnJqdve/de6+ib8OPiV058GfjX1R8Wuh8EMH1z1PtqnwlBJMsBzG5cxM7V25t67nqqdUWoyuZyEtRkchMEVTNKyxpHEscae9+690Zr3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3VBXyX/wCZ89of+HPUf+48fv3v3XugM9+9+690sOvP+P8A9j/+Hhtn/wB3UHv3v3Xutjj3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde93H47/i30H/AFB0v/Whff298r/8q1t3/PLB/wBWk65x3n+5kv8Ap2/48eoWN/4t1B/1BUv/AFoX3M9nnSbqb797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de697Jx8uP+A2w/+W+5P+tdD74hf3zv/JM9vP8Amrvf/HNq6yO+73/bbr/pbb/DP1Wr/MU/4BdS/wDUVvb/AK1Yr2Sv3wl6yX6rB9+9+69173737r3Xvf8A/9H5/wD7917rf49+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+6918sbewHWP/CwOi/iFqb+JfzPevzH5hoDHtzL404y3k/MpzUWj+uoafqPfvfuvdfU59+9+69173737r3Xvfvfuvde9+9+69173737r3Ve/82vcEG1/5Wn8xzMzyrD4fg58p6SmdmCD+IZbpLN4jFpqP5apniUAckmw59+9+691ps/8IcdvTVHYX8xvdgQ/b4jZvxl280hQW82483vfJIgkI/1OLYlQf6E/j3737r3X0LvfvfuvdfNz/wCFuv8A2V58LP8AxW/eH/vzqj3737r3W+58C/8Ashn4Yf8Aip/x1/8AfQYf3737r3RsPfvfuvde9+9+691XT/NR/l3da/zP/hl2d8XN/fY4rPZWlG6und/1NKamo6x7j2/SzHZe8YBGrSGmLSzY7LwRWeoxtVVwIyPIsie9+6918+X/AIT+fzEey/5MP8xXsf4GfMgV3XnS3anZrdR9y4TcdT48X0p33hK3+7ezu2YKqU/bria39rG5nIwutPUYyaiyhmlgx0Cv737r3X1MAQQCDcHkEcgg/Qg+/e/de6+Wn/wrs/7fQ7N/8Vv+P3/vZbh9+9+6919Sz3737r3XvfvfuvdfLj/kf/8AcVFun/xYD+Yt/wC8xv73737r3X1HPfvfuvde9+9+69173737r3WlV/wtJ+HX+kT4lfH/AOae3MV5twfHHsep6y7BrKaG0n+i3ulYo8Rk8pP+YcbubHY6ipUP0kzEpH6j797917q8j+QV8vf9nU/lQfErs/J5T+Kb72XsSPontCSaYT5H+/PScn9w5clmJBcfdZjGUuMz8n+FepspOke9+691cb797917r5pXx0i/4er/AOFWm6u25f8Af0dCfHTtTMdm0Eq/5Zhf9EHw/kpNkdQ1dJC5MbUW493Q4LJVNPIbOuTqiVYak9+9+6919LX3737r3Xvfvfuvde9+9+691qY/8LMf+3TGxP8AxdDp/wD99lvn3737r3Qwf8JGf+3MnWv/AInDvr/3sR797917rZu9+9+69173737r3Xvfvfuvde9+9+69173737r3XvfvfuvdVQfz0/8Atz9/MR/8Vg7D/wDcJPfvfuvda0P/AAh0/wCZW/zE/wDw/wD44f8AvO7w9+9+691ve+/e/de69797917oIe/ei+sfk30r2f8AH3ubbdNu3q7t/Zmb2LvXA1GlGqsNnKRqaSooKkhmpq2lcpV0FZFaWmqYoqiJlkjRh737r3Xywuhewu+f+Ewn86nPbG7Ikzm4OmYMvBs7staSlmjou8fiZv3Kit2n2rt7GKfDJl8WkUeUp4YZD4MrQ12GaoEb1er3v3Xuvq67K3ntTsfZ21Owth7gxe7Nkb623g94bP3RhKqOuw249r7lxkWZwOdxNbFdZaarpZop4ZF4ZGB/Pv3v3XulN797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917otvy3+JXQ/zg6D378bfkfsfH776x7AxklJW0lRHDHl9vZeOJxht5bOy7o8mNzWMlb7jH18I1RuLMHieSN/e/de6+Vf0fuXub/hOh/PO/uRuLdNbU7O6q7ZxXWva+QjWXHYjt/4m9qy0OVh3LXY2NmiMxwNZj9x09N5JEo8xRxxNI5pnv737r3X14QQwDKQQQCCDcEHkEEe/e/de61kv+Fc3/bmTsr/xOHQv/vYn3737r3QX/wDCNv8A7dIbl/8AFwO5P/eH2f797917ra+9+9+69173737r3XvfvfuvdFf+b3/ZF3y8/wDFX+/v/fUZb3737r3WhH/wiG/7Kn+cH/iv/Xv/AL8V/fvfuvdfR89+9+69173737r3XvfvfuvdaEH/AAtg+aX2WA+K/wAANr5bTUZuryHyf7doaebRIuLxZrevOnMdVeI+uGoqX3TWTU8tgHpKKYKxCMvvfuvdFV/lW/8ACoj4g/y1vgr0d8Q8f8Oe7N15rr3GZ3J793tit6bBx1LvTsLeW46vde689DT1aNOIBPViiohOxdaSnp42toAHvfuvdWGf9BvPxZ/7we7/AP8A0YnXX/Xv3737r3Xv+g3n4s/94Pd//wDoxOuv+vfv3v3Xuvf9BvPxZ/7we7//APRiddf9e/fvfuvdaxf8/T+bj8df5v3Y/wAf+4eqfj/2J0n2P1ZsrdXW2+MnvfP7Xz8G9Nl1Och3NsOionwCpJA+IrqnPuwlDLIK8adBjOv3v3XuvpJ/yQ/mf/s+X8sP4q975XLfxbsGm2FT9WdwSzTebIt2t1K52NurK5UXOibM/aQbgRLm0NfEeL2HvfuvdWve/e/de69797917r3v3v3Xuvlx/wAmL/uLA3N/4tB/Mn/94zsn3737r3X1HPfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+691pw/wDC0voSr33/AC/Oge+8ZRfd1XQHyNp8PnJhGS2N2T3JtGqw2Qr2lANkObxO3aYqbBmmU3uoB97917oxX/CQf5CUfbv8o3B9VSVscmd+L3d/a/WFVQvKHro9v7zzC92bfyciElhTyy7myFHTseL0ciLxH797917raU9+9+69173737r3Xvfvfuvde9+9+69173737r3Qe9t9lbc6Y6p7N7h3jULSbR6o693n2VumqaRIVptubF25U7ozk7SyelQlNSysWbgWuePfvfuvdfLf/wCEr3XG4/lF/PDxXfW46b+JT9T7L+Q3yV3nWSqzUZ3DvvHzdZUkjvJcNMcpvNaunQnXeFpR/mmI97917r6sXv3v3XutVH/hYx/26HoP/FsOlv8A3nNze/e/de6ED/hIz/25k61/8Th31/72I9+9+691s3e/e/de69797917qvr+aD/L862/mafDHtj4qdhfZ43Iblx43D1XviopfuajrPuDbsEs+xN8UoQGXxQzyPR5OGEq9TjqmspA6+csPe/de6+fV/wnj/mB9k/yeP5jvY/8vj5g/edfdSdwdnt092jhtxVXjxXTfyMwNedsbJ7Jhqpj9umKyreLD5bIxFaeehnx+UedqXHR6/e/de6+o1797917r3v3v3Xuve/e/de61N/+FgPzS/2Xv+W7hPjVtzLfZb9+aPYdJtCqp4J/BXR9O9XT0m+uya6ndDr0zZE7aw9RHYLLTV9QjNa6t737r3WtD/Iw/wCFB/xX/lC/FTd/S+4fiv232l2n2X2xmeyt/dhbY3XsrC4ytpFw9HtrZ22KCnyqtU/bY6kpJJwJP+UmsqivpYe/e/de6up/6Defiz/3g93/AP8AoxOuv+vfv3v3Xuvf9BvPxZ/7we7/AP8A0YnXX/Xv3737r3Xv+g3n4s/94Pd//wDoxOuv+vfv3v3XuqKP5838+v4vfzhugun9h7Q+MHavUvbfS3aNXu/am/t3bo2bnsWdm7o25Lhd+7OkpcOqVEf8QqIMHXCVSQHx6IykPqX3v3Xutt7/AISa/M//AGaD+VjtjqTcOW+/7F+G28Mp0blYqmfy5GfrisU7w6fy0kYJCUsWOq6jblGOPTh3441N737r3Wzt797917r3v3v3Xuve/e/de60qf+FYH84ys6W6/b+V98ZNwVM/e3euDol+RmZ2vLLU5jYXUe6YwmJ6ooRjtUqZvekcg+9px+7HhW0GJhmKeWL3v3XurIf+E4v8nOj/AJYXxSj7B7c2/TR/Mn5JYnDbj7fnqoYpsh1btDSMjtLozHVXPjagDit3EYSFnyjtEXqKfH0Mo97917rY19+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3VBXyX/wCZ89of+HPUf+48fv3v3XugM9+9+690sOvP+P8A9j/+Hhtn/wB3UHv3v3Xutjj3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde93H47/i30H/AFB0v/Whff298r/8q1t3/PLB/wBWk65x3n+5kv8Ap2/48eoWN/4t1B/1BUv/AFoX3M9nnSbqb797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de697Jx8uP+A2w/+W+5P+tdD74hf3zv/JM9vP8Amrvf/HNq6yO+73/bbr/pbb/DP1Wr/MU/4BdS/wDUVvb/AK1Yr2Sv3wl6yX6rB9+9+69173737r3Xvf8A/9L5/wD7917rf49+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+6918tL/AIUm4zLfDH/hQ1tn5T01DVRQ5+f4g/Lfb328QVamo6mkx2xa0ULHShlav2JNJICwPkk1NbWCfe/de6+ovgM7iN0YLC7m2/kKfLYHcWJx2dwmUo38lJksRl6NMhjchSyf2o5oZEkRvypB9+9+6907e/e/de69797917r3v3v3Xuve/e/de61/f+FP3etD0d/Jf+VMTVqUm4O55Oueitpwu6p/Ea7fO/aGt3TRJc3LDbOPz04Cgk+Pmy3I97917qsD/hFD0rWbU+DXyl72r6SSkPcnyRx+zMQ8sRQ5Lb3TewKSeHJ07/24f4jubKUgN+JKeUW4597917rdB9+9+69183P/AIW6/wDZXnws/wDFb94f+/OqPfvfuvdb7nwL/wCyGfhh/wCKn/HX/wB9Bh/fvfuvdGw9+9+69173737r3XvfvfuvdaPP/Cu3+UJ/pX67j/mg9C7Y83Y/UeDx+3flVg8PR6qreHUeOC0W2u22p6Uapq3aupaHLzFHZsM0U0jxU+GIf3v3Xuji/wDCV7+b3/s8PxgPw97u3R998pPidtjGUGJyOWrPNme3fj9RvFg9qbweaZvJU5LbrvTYHOSMCzxtjKyWSWoragp737r3Wsp/wrs/7fQ7N/8AFb/j9/72W4ffvfuvdfUs9+9+69173737r3Xy4/5H/wD3FRbp/wDFgP5i3/vMb+9+9+6919Rz3737r3Xvfvfuvde9+9+690UT59fFrCfNj4XfJn4q51KTx929Q7u2fhKyuAamwm9mx5yfXm5nBBBOKz1PjcklwfVAPfvfuvdaV3/CLn5O5rYPZ3zW/l09imrweaV6Xv7Z+1so32tRht5bHyMHUneOIlp5CQ1bJHJtcmFDqVKCoYhlVinvfuvdbYv86X5hf7Iv/LG+W/yAx2U/hO96HrHIdf8AVVRFN4q6PtXteZOuti5HHRghpJMZWZJczKiG/go5nJCqWHvfuvda9v8Awi2+HH+jz4n/ACB+a+5MV4c/8jOxKbq/rysqYf3B1b0x5VzeUxVQQLQ5Pc2Qr6KqUE3kw0RNtPPvfuvdbrPv3v3Xuve/e/de69797917rUx/4WY/9umNif8Ai6HT/wD77LfPv3v3Xuhg/wCEjP8A25k61/8AE4d9f+9iPfvfuvdbN3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917qqD+en/wBufv5iP/isHYf/ALhJ797917rWh/4Q6f8AMrf5if8A4f8A8cP/AHnd4e/e/de63vffvfuvde9+9+69173737r3Wsv/AMKdP5Sn/Dh/w3m7t6h2z/Evlh8S8Vnd5bIp8ZSeTNdn9VeL+JdjdTBKcGWqq1ih/jO3YdMj/ewSUVOiHKTP797917qrD/hH9/Nr/vltPJfysu8tzeTdOxqHOb6+JOYzFZqqc7seN5M32F01DPUENJPhHabPYWEF3OPkyEQ8VPjKeM+9+691vb+/e/de69797917otndvzC+Mfxy3z0p1j3Z3Tsfr7sf5F79w3WnSexMzlNW7ew9356uTF46jwmBollqRTGpkhpZMjPHHRxzywQSTrNUQRye9+690ZP3737r3Xvfvfuvde9+9+69173737r3XvfvfuvdfK7/AOFjs+3pf5uuIjwq04yVN8SemIN2mG3kbcLbr3VU0zVdgP3P4VJjAL39ATm1gPe/de6+oB1DBlqXqfq+lz/m/jtN13sqDNfcB1n/AItDtqmjyPnWT1B/MH1Bub3vz797917rXV/4Vzf9uZOyv/E4dC/+9iffvfuvdBf/AMI2/wDt0huX/wAXA7k/94fZ/v3v3Xutr73737r3Xvfvfuvde9+9+690V/5vf9kXfLz/AMVf7+/99RlvfvfuvdaEf/CIb/sqf5wf+K/9e/8AvxX9+9+6919Hz3737r3XvfvfuvdcXdI0aSRlSNFZ3d2CoiKNTMzNwABySffvfuvdfLF6sWP+fN/wpzm3bkKdN4/Hug7zrd7zU9VCMhtyf4r/ABTp46PZtBkaCQOiUO7jisVSV0KgqarOSktd2f3737r3X0nP9kh+F3/eIfxf/wDRA9Uf/Wn3737r3Xv9kh+F3/eIfxf/APRA9Uf/AFp9+9+6917/AGSH4Xf94h/F/wD9ED1R/wDWn3737r3Xv9kh+F3/AHiH8X//AEQPVH/1p9+9+690Q7+Z7/Kg+NHyh+AXyp6V6q+NPRmzu2ty9TZ/K9Sbh2N1HsDae56XtLZOjfHX1BQbgwGPgq6eLIZbHUuNrTDKNdLUTxsro7I3vfuvdarv/CKX5lyYDsL5U/AHdmSenpd5Yqh+SfVWNrJGp44N17UNLsDt7GU8Uv66uux023KtYVAZYsXUuQwDFPe/de6+hn797917r3v3v3Xuve/e/de6+XH/ACYv+4sDc3/i0H8yf/3jOyffvfuvdfUc9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3RH/5k/xFx3zw+CXyg+J1atCuR7g6qzuJ2ZW5O32GH7Nwhj3X1XnaxiLiGh3HQYuqm0kMY42AIJv797917r563/CS35p13wz/AJkPY3wq7lkqtmYH5YUn+i+bD59TQy7Y+THUOUr5Nj4bJpUm1NNXRVG4dutAqh5shPj4iToUe/e/de6+oT797917r3v3v3Xuve/e/de69797917r3v3v3XutX/8A4VjfOnHfFb+WPuLorBZlKTtn5sZn/Q7t+ggmCZGm6sw8lNuDuzcPhJGqlfHmj23UDk3zSEA6WK+9+690Tj/hGH8J67qr4j94fNnd2HNJm/lJvaj2L1lUVUJ+4PUfTFVWY7KZnHSsAVhyu56vJ0k6c6zh4H+lvfvfuvdbo/v3v3XutVH/AIWMf9uh6D/xbDpb/wB5zc3v3v3XuhA/4SM/9uZOtf8AxOHfX/vYj3737r3Wzd797917r3v3v3Xuve/e/de60Uf+Ff8A/KT/AL8bOx380vozbPk3d1/j8Jsf5Z4fD0mup3BsCKSPD7B7jlgpxqkqMC7xYTMzEO5x0lBK3ipsXM597917qz7/AITC/wA2v/hwr4cxdFdv7m/iXyv+JWIwW0N4VGUq/Jmu0OpBH/C+ue1S9QTLVVcUcQwm4ptUj/eQw1tQ6tlYk9+9+691s4e/e/de69797917r5d/89zfu5v5uv8AwoL6++DnWGWqKvaPWW/Ou/hht6sxx+5o8NnX3F/GvkXv2ej9YWXCV1XlKTIOAdVNgoyV9On3737r3X0V9u/AP4PbW2/gtsYj4g/GdcVtzDYzA4xazo3rLIVa4/EUSY+iWqr63FvNPII411zTOzu12ZixJ9+9+6908/7JD8Lv+8Q/i/8A+iB6o/8ArT797917r3+yQ/C7/vEP4v8A/ogeqP8A60+/e/de69/skPwu/wC8Q/i//wCiB6o/+tPv3v3Xug+7a/lvfB/tzqvsrqnK/Fj484LG9l7B3hsCvzm2+kus8RuLCUm8Nv1G36jMbfy1BjYp6WupVqDPSVMEqSRSqkiOrKGHvfuvdfPn/wCEwnd28P5dv86DuD4D9yVX8Dh7qqexvjLvLHzSPTYun776Gz+RyuwcoWk/WJzRbgwmO4Plky8JU2YE+9+6919Pn3737r3XvfvfuvdVZ/zgP5nXXH8qj4bb1+Qe5xjM/wBm5nz7I+PvWdXUFJuw+2cpQySYiCrggZJhh8Uitlc7UoyaKWEwxuKuppY5Pe/de61Cf+EyP8sbsf53/Jrev86T51/xPf8AQUXZ+4t1dKy7zp1lbt75CfxZ59w9vTUcyCE4bZ9TelwcVPEKdctGq0xhXBmCT3v3Xuvohe/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3XuqCvkv/wAz57Q/8Oeo/wDceP3737r3QGe/e/de6WHXn/H/AOx//Dw2z/7uoPfvfuvdbHHv3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de697uPx3/FvoP+oOl/60L7+3vlf/lWtu/55YP+rSdc47z/AHMl/wBO3/Hj1Cxv/FuoP+oKl/60L7mezzpN1N9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9k4+XH/AbYf/Lfcn/Wuh98Qv753/kme3n/ADV3v/jm1dZHfd7/ALbdf9Lbf4Z+q1f5in/ALqX/AKit7f8AWrFeyV++EvWS/VYPv3v3Xuve/e/de697/9P5/wD7917rf49+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+691pdf8LL/gdl+4/it01849hYObJbi+K24Mjsrtn7CB5atulu062lixu46wIGZ4MDuOCkiCoB448vUzyHxwsV97917o5n/CWf8AmcbZ+anwD2h8b937jpj8kfhftzC9XbkwVdVRLlt19L4lBiuoOw8VTSMZJ6alxyU+3MnIC7x1lEs1R4xkKUSe9+691s8+/e/de69797917r3v3v3Xuve/e/de6+aX/wAK2/5i9P8AMT5XdRfy4fjnWVHYGA+Oe75U39T7SDZpd8fKje3j2li9h4WCgMorKrbFFPJibQesZLJ5GhkTy0o9+9+691vU/wAqX4YQ/wAvz+Xx8X/ilNHSDdPXPXVLW9mVNFKlTT13be966ffXaM9NXJc1FPHnMjXU1FKx/wCAsUCiyqqj3v3XurC/fvfuvdfNz/4W6/8AZXnws/8AFb94f+/OqPfvfuvdb7nwL/7IZ+GH/ip/x1/99Bh/fvfuvdGw9+9+69173737r3XvfvfuvdNWdwWF3RhMztrcmJx2f27uLFZDBZ7BZiip8jiM1hctSPQZTE5TH1avFPTVMEkkM8MqMjozKwIJHv3v3XuvlDfzGfi/3v8A8JuP5u/X/fvxobI0/TmS3VkO4PjNlMjNXy4Lc3W1bV/w/tD44b2rgWeo/h1PWyYHIAytUSY2qx+SDxVU6+L3v3XukD/wob+W/Uvzr/mAfGj5XdJZQV+wO4viF8d9wUtBPNBJmdpZ6l35ubD7t2JueKnJWLJ4XKU1Xja1FJRni8kTPDJHI3vfuvdfXM9+9+69173737r3Xy4/5H//AHFRbp/8WA/mLf8AvMb+9+9+6919Rz3737r3Xvfvfuvde9+9+69173737r3XzU/nBT/8Mw/8KpeuvknSj+6/RfyG7M2v3bm6oEwYletfk61b1f8AJCor9NoZDjc/LuXOxUpt49FC5CnxyH3v3Xujrf8AC0T5P5zdeU+FH8uHrc1ea3PvTcE3yC3ltXFN5Mhlspkq2p6f6Gw8MERvI1ZVz7sJgkIBkSlcAnSy+9+691uO/An4tYP4T/DH40fFTALSND0j1FtHZ2ZrqFAlNnN6R0AyPYO6EUBbHLZ6oyOTfgeqc+/e/de6Nz797917r3v3v3Xuve/e/de61Mf+FmP/AG6Y2J/4uh0//wC+y3z797917oYP+EjP/bmTrX/xOHfX/vYj3737r3Wzd797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de6qg/np/9ufv5iP/AIrB2H/7hJ797917rWh/4Q6f8yt/mJ/+H/8AHD/3nd4e/e/de63vffvfuvde9+9+69173737r3XvfvfuvdfLr/4US/y+Ox/5QX8xjrj+YZ8Pvvevepu4u0I+3+tc1tymEWM6Z+SeByH96d5dePSxL9smKyzCTNYnHyqtPPRzZLGJA1Jj31+9+6919An+Vv8AzB+uP5m/wv6o+VOwfssZltwUB2121sWlqjUz9Z9x7cp4Yt9bKqDITL4UlkjrsVLMFeoxtVRVLKhm0j3v3XurC/fvfuvdfPQ/4WFfy9+yuu+7epf5sXTFRuYYSuj2N1p3JlcRW5CSt6p7M2NUhumexcdURszY+iycKR4wyxCKCmyVFSsWNVlVv737r3W1B/JF/mt7A/ms/DjanZK5bD0PyL63x2F2V8neuqaSnpa/b/YMFEYY9643EJZkwO51glyeIlRWijY1OP8AI9RQVFve/de6uP8Afvfuvde9+9+69173737r3SC7T7R6+6S633x292vuzD7E61622xmN5b43hn6kUmI29tvA0T5DKZKtmIJISNDpjjVpJGKxxqzsqn3v3Xuvk69fw7x/4UJf8KCot4U228r/AKM+2+98Rvrc+Nr4RIdjfEHoxKDGxU24DCzU9LVVO2cTQ4t2DeKTM5BEGtqgave/de6+uP797917rWR/4Vzf9uZOyv8AxOHQv/vYn3737r3QX/8ACNv/ALdIbl/8XA7k/wDeH2f797917ra+9+9+69173737r3XvfvfuvdFf+b3/AGRd8vP/ABV/v7/31GW9+9+691oR/wDCIb/sqf5wf+K/9e/+/Ff3737r3X0fPfvfuvde9+9+691Sr/woP+aX+yOfypfk12Fh8t/CeyO0tvL8deo5Ip/tq8b47lp59vVuUxM4N1q8Pt9c5n6dgD66Ecfn3737r3Wv9/wii+Gv93OpvlJ88Ny4rx5TsrcmN+OfVddUQ+Opj2ZsdafenZ+QoZCP3KTJ5eqwlHqBsJ8PKvJHHvfuvdb1fv3v3Xuve/e/de69797917r3v3v3Xuve/e/de6+U38xKeu/kY/8ACls9x4OkqsH1FSfIDCfIbFU2Pgkip8j8cPkn9xD27tvB0cQ9UONgym69u0KMrBZaCNwGKj3737r3X1WMfkKHLUFDlcXWUuRxmTo6bIY7IUU8dVRV1DWwrU0lZSVMJKSRSxsrxuhIZSCCQffvfuvdTPfvfuvde9+9+6918uP+TF/3Fgbm/wDFoP5k/wD7xnZPv3v3XuvqOe/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuvmwf8Kt/wCVXvf4q/JzHfzU/jPQZjB9Z9v71wOb7dyezfuaGv6U+TdFWx1eI7IjrMdploaXddRDDXRZAH9rPJU+SZJMjQxN737r3W11/IZ/nOdefzXfjRi6LdOZwu3/AJk9P4DF4n5BdbiSmoKjcLUyJjabunY+MBXzYPNSaXq4oFP8Lr3eimAiahqKz3v3Xur5ffvfuvde9+9+69173737r3QUd5d49UfGvqPf/e3eO98J1z1R1jt2t3TvTeG4KjwY/FYuiUAJHGgaWpqqmVo6WhoaaOSoqqmSKmp4pZ5Y4297917r5WHd2/8A5I/8Kif5x+D2x1rjM5tPqh502psKlyFO1Zjvj18Udm5o1W5ezd509LI1KMvXGqkyFXH9xapytZRYeGpeJaNl97917r6p3RHSfXXxt6X6t6B6jwUe2+s+nti7b682ThkZZJaXAbXxceLopK6pCqairmEZnrKpx5J53kmkJd2J97917oWPfvfuvdaqP/Cxj/t0PQf+LYdLf+85ub3737r3Qgf8JGf+3MnWv/icO+v/AHsR797917rZu9+9+69173737r3XvfvfuvdJveWz9rdh7Q3TsHfOAxe6tlb327mto7v2xm6SKvw249sbjxsuHz2Cy1FMCk1NV0s0sE8TCzIzKeD797917r5RXyG6374/4TDfzqNv7+6vizmd6YhzE+9urjW1c8dB3Z8Ud9ZQ0O8OpNx5RgYpcri0SXE1M00ZaHJUdBmlp1SSkDe9+6919Tj4+98dYfKDpLq/5C9L7kp92dW9wbMwu+dl52DSj1GIzVKJxSZGlDM1NXUkvko8hRyHyU1VFNTyhZI3Ue9+690Fnzw+U23fhJ8N/kj8rdzfaSUXSHU+6t5YvHVship9wbwiov4dsDabSArZsxnajHYuM6h66heR9ffvfuvdaCX/AAjy+MG4vkf8/vkh/MF7TNXuWfoza+Zhxu6csmqrzPf/AMkq2uTO7kjrGGmWeDb8O40r1QAq2Vp3JUOof3v3XuvpQ+/e/de69797917r3v3v3Xuve/e/de69797917r5gX/CprovePwJ/nG9R/O7p2Nttv3jTdc/IrZucgheGgx3yC+Pubx2E3bDBFEVDMFodsZutIYGSbJSlgCxZve/de6+kT8Yu/NnfKj469H/ACR6/lD7O7y6s2R2hgofMk8+Opd47fgzUmFrnQC1VQSyyUVXGQGSeKRGAZSB737r3Qidg9gbK6o2JvLs7sjc2J2Z1/17tjObz3ru3PVS0WF21tbbeOky+czeUqn4SCmpopJZDYmy8Amw9+9+6918xXeOb76/4Vdfzk8dtjbku6tjfCvpk1ceNqXiMUfT3xmxGciGd3bWQSiSkXfG/qqOFIISsrJNJS08hnx2FkmT3v3Xuvpq9Q9S9ddDdXbA6X6j2pi9j9ZdX7TwmyNjbTw0Rix+D23t+hTH42iiMhaSR9CBpqiZ3lmkLyyu8ru597917oRffvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3VBXyX/5nz2h/wCHPUf+48fv3v3XugM9+9+690sOvP8Aj/8AY/8A4eG2f/d1B797917rY49+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvdx+O/4t9B/1B0v/AFoX39vfK/8AyrW3f88sH/VpOucd5/uZL/p2/wCPHqFjf+LdQf8AUFS/9aF9zPZ50m6m+/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3XuveycfLj/gNsP/AJb7k/610PviF/fO/wDJM9vP+au9/wDHNq6yO+73/bbr/pbb/DP1Wr/MU/4BdS/9RW9v+tWK9kr98Jesl+qwffvfuvde9+9+69173//U+f8A+/de63+Pfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3XvfvfuvdJPfuxNm9o7H3f1r2JtvE7x2Fv8A2znNm702nnqSOuwu5drbkxsmIzuDytHL6ZKeqpppIZUP1Vj9PfvfuvdfMU/mM/yd/wCYH/IP+Uv+z1/y7c92PuD44bZzOR3Fs7tfZNJJufdPSu38jIZMl1l8idrCKojr8B4v8jkzFZSS4qvgEX332lY6QH3v3XurjvhD/wALS+gN07ewu2Pn50DvjqnfsFNT0mT7Q6EpYN/9X5yrRVFRma3Y2draXPYKNubUlJPmzcXEihtCe9+691dbtf8A4UxfyQ910MVbS/ObbuIZ1vLQ7o6i+QW2a6mcJreGWLM7TiRiPpqid0J4Vm49+9+690HvaH/Cp/8Akndb4ypqsX8pNwdr5aniaWPbPV/R/c9fk6y36Y6bL7vwmFwoZiLAS5VLfU2BB9+9+691rJ/zF/8AhW/8j/l5QVvxp/lj9Kb/AOj6bsiZ9n0/Z+RCbu+UG7Ys2xoYsF1js3Y33tHtvIVSuYRU0VblsgC4agnoahEm9+9+691YL/wnJ/4Th75+O++ttfzCP5he21x/duN1Z/4//H7OyRZXLda5jJRlx2322S0kY3MiSM2Gw5d3xcjmsrCmVSGHHe9+691vC+/e/de69797917r5uf/AAt1/wCyvPhZ/wCK37w/9+dUe/e/de633PgX/wBkM/DD/wAVP+Ov/voMP797917o2Hv3v3Xuve/e/de69797917r3v3v3XuqsP5xP8s7Yv8ANR+FG/8A48ZsYvDdoYhZN/fHvsGvhOrYvb+CoZVwb1dVEryrictHJLhs3GqP/klQ88cbVNPTMnvfuvdfGu3F1tvvpvu3KdS9obZymzOxuteyptj742lmofBldubp2zuT+EZzD1sYLLrgqIpELIzI1tSMykE+9+69196D3737r3XvfvfuvdfLj/kf/wDcVFun/wAWA/mLf+8xv73737r3X1HPfvfuvde9+9+69173737r3XvfvfuvdaZP/Cz74df6UPhX0n8yNu4rz7k+LfZzbN3vWwRaWj6k7yamworsjOnMi0W6aHb9LSo4shyVQylS7B/e/de6oE/kiQ9vfzmf56HQ/wAh/kOP7y0PxO6d6t7M3lO5nqcez/F3rnBdWdT1aTVd1Sty+9/4buyupzcSTSZJolCAsnvfuvdfUx9+9+69173737r3Xvfvfuvde9+9+691qY/8LMf+3TGxP/F0On//AH2W+ffvfuvdUEfyUv8AhTJ8b/5X/wAEtqfE7sz46d39k7q2/wBg9j7wqN0bFyuw6Tb89JvXOfxWjpIYc/WwVIkhX0ylo9JP6SR797917q2j/oNw+F//AHhv8n//AD/dU/8A1y9+9+6917/oNw+F/wD3hv8AJ/8A8/3VP/1y9+9+6917/oNw+F//AHhv8n//AD/dU/8A1y9+9+6917/oNw+F/wD3hv8AJ/8A8/3VP/1y9+9+6917/oNw+F//AHhv8n//AD/dU/8A1y9+9+691shfytv5kPXf81D4up8pusOvd6dZ7YfsTd3XQ2zv2qwdXnhkNoQ0c1XkDNt6aen8MorEEY16hpbUBx797917oO/56f8A25+/mI/+Kwdh/wDuEnv3v3XutaH/AIQ6f8yt/mJ/+H/8cP8A3nd4e/e/de63vffvfuvde9+9+69173737r3XvfvfuvdEn/mH/Bvqz+Yx8Q+4Pib2zDHT4nsTAvJtTdiUcdXlOuex8NfIbE7CwisUbz4yvWN5oUkT7qlaoopG8FTKD737r3Xzkf5HPzi7V/kVfzS+zPhN8w5Jtj9O9jdhU/RvyEx2Tq5f7udc9i4utal6u77w9TVCNDiJFq4lq8iuiKpwOQXIsJvs6RR737r3X1RVZXVWVgysAyspBVlIuGUj6g/g+/e/de6DjuHqDrTv/q3fnSvcezsN2B1d2btnKbP3xs7PwNPi87gMvTmnq6WXxlZIpFuJaepgkSaCZUmgkjmjR197917r5pHze/lS/wAyr/hOv8nqz5xfy8d17/3x8ZMbVV89J2Tt7GHdNdsrYtfWLW13VPyt2DSRmCtwto44jn2pRjpnjp6oSYrJ/bRRe9+691dV8KP+Fn/xN7AwGG2/86eluwPj92JHBBBl9+9S42TtTprKVEaharLLhjPHunDrIxLR46OjzGhQdVa5sD737r3VxOH/AOFKf8kXN41MpS/PHZtLA0aSGnzHV3fuDySav7D4rMbTgqNQ+hAiP+259+9+690UX5Ef8K7P5Q/UGHr5OqN39wfKTc0UMqY7C9XdT7p2biJciFIiiyu5u7IdsrDTawBLU0VLWsFOqKGb6H3v3XutR/5c/wAyv+bH/wAKVO28b8Vfjd0pntudGQ5vHZZOgeqqzIVu0cfFHXhsTvz5OdyZSKho6iGilUSU0uQTH4yKVIzTUL14SWT3v3Xut5P+Rp/JP6z/AJQvRmUjyWUxHZXyt7do8VP3n25Q0s8eJpaegvVY3q7rVcgiVEG3sbO7ySVM0cVRlKr/ACyqjhSOioqH3v3Xur0/fvfuvdayP/Cub/tzJ2V/4nDoX/3sT797917oL/8AhG3/ANukNy/+Lgdyf+8Ps/3737r3W19797917r3v3v3Xuve/e/de6K/83v8Asi75ef8Air/f3/vqMt797917rQj/AOEQ3/ZU/wA4P/Ff+vf/AH4r+/e/de6+j5797917r3v3v3Xuvm//APCzz5h13afyn+N/wE2JVVWWoukdqDtLf+ExHkqpsl2/3MY8dsfbtVjotTvW43btNDV0YRbsmeZRqJAX3v3Xut5D+WJ8RKH4I/AT4r/FWCmpafMdV9T4Gn35JR+M09f2puYyby7XykMkd9UdTuPI5OWElmIiKLqOkH3737r3R8Pfvfuvde9+9+69173737r3Xvfvfuvde9+9+691oxf8LXPhx/ejpf4u/OrbWK8mV6q3Zk/j32hWU0PkqJNkdhRy7t65yWRl/wB10mKzVDlaNDfmfNRrbm497917q67/AITU/M//AGc3+Uv8fqzN5b+J9j/HSGr+LvY5lm81Z931PR00Gwa+qeQ+WV6zaFVt6eeokBMlSaj1OysffvfuvdX3+/e/de69797917r5cf8AJi/7iwNzf+LQfzJ//eM7J9+9+6919Rz3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+690H/a3VPXHeXW29un+3tm4LsLrLsfbmS2nvfZe5aJK/CbhwGWgNPW0FbA1iLgh4pY2WWKRUlidJUR197917r5q/8yf+QT8+f5OPfa/OX+V5ubtbfXSWyszW7t2xufrQ1OX74+PVG+uTIbe7G2vQRStuTbIpmkgqctFRVFJPRCaHO0cEX7tX737r3VkXwB/4Wi7Artv4TY38x/ozcm3t3UcFPj6nvb484+jzu1s/JGoiOW3d1Nm6ulrcTIVUyVUuFr8gksrHwY+kiAjX3v3Xur7Nu/8ACmD+SJuTDJmYPnPtvFJ4Vknx24upe/8AA5mmf+3TvjMjtRJJHU8E0/kQ/VGZeffvfuvdEq+UX/CwL+Vb0zg8mvQcnbvy53qkNQmGxmyth57qvY8mRiH7cW4t7dwUuLraWlY3X7nG7fyTXsVhZTq9+9+691qjdp98/wA5X/hUz3zi+tOvNhzbZ+Oez9zQVUGy9tvnNtfFzpNpFMUO8e4+x6+ORs7uGOikdoRKs9a6GoGExECTTwt737r3W/5/KF/lB/H7+Ud0C/XHWzLvruLfSYvKd798ZXGRUG4ux9wY+J/s8ZjKIPMcXt7GNNOmIxCTv49ck9RJPVzzTP737r3Vtnv3v3Xuve/e/de61Uf+FjH/AG6HoP8AxbDpb/3nNze/e/de6ED/AISM/wDbmTrX/wATh31/72I9+9+691s3e/e/de69797917r3v3v3Xuve/e/de6pA/n5/yqsT/NP+Du5Nl7WxlAvyY6VGW7P+NOfn8FPPU7rpseBuLq+syExXx4/dlHAlA+uVIoq+PHVsxZKPS3vfuvdar/8Awke/mqZbozuDcn8qL5H5Ov2/tnsTdG4Mv8c13Z9xjarr7vKkkkO/ul62DKaXoo9w/by1dBRv4xFmYKiBYpKvL8e9+690ev8A4Wm/NL+4nxt+PHwW2vlvFnu+96VPc3aFHSzWnj6w6okFDs7E5WAnmmy+5Kv7+nYAny4JuV+je9+691bv/wAJmvhr/snn8pLoEZnFfw3sP5Jiu+Um/wDyw+OqJ7UpKY9c0k3kAlTwbPo9viWne3jqWqPSrM1/e/de6v8Affvfuvde9+9+69173737r3Xvfvfuvde9+9+691q8/wDCtj4cf7Mr/KyznceAxX32/wD4b78wnc1BLTQeXJT9b5x12J2vioWsdNNFS1tDuGsNx6MQDc20t737r3Rfv+EbXzP/ANNHwI7I+I25Mt91vD4gdky1O16Wea856Z7sqazd+30hEx1y/Z7jg3PFKVJWGGWjjsgZAfe/de6Kr/wtC+d3cPXOzfj/APAnYdW22etu99vZTt/ufM0NZNHld8YzZ26kxWzuup44wqx4qHIQPmK9SzmpnioV/ajp5Vqfe/de6rh/ky/8KEv5dH8pL4mUHS2E+I3yJ3r3LvfIx70+QfbtBXdXUX9/N6iJ6bGYrDityP3MWCwVK5ocPSylblqmtaKKorqhffvfuvdW5f8AQbh8L/8AvDf5P/8An+6p/wDrl797917r3/Qbh8L/APvDf5P/APn+6p/+uXv3v3Xuvf8AQbh8L/8AvDf5P/8An+6p/wDrl797917r3/Qbh8L/APvDf5P/APn+6p/+uXv3v3Xuvf8AQbh8L/8AvDf5P/8An+6p/wDrl797917qxr+Vt/wpQ+Of81D5Rx/FnrD48919Z7nk683d2KNzb9ymxavAjH7Qlo4qvHmHb1ZPUeaU1iGM6NI0nURx797917rZD9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+691QV8l/8AmfPaH/hz1H/uPH797917oDPfvfuvdLDrz/j/APY//h4bZ/8Ad1B797917rY49+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvdx+O/4t9B/wBQdL/1oX39vfK//Ktbd/zywf8AVpOucd5/uZL/AKdv+PHqFjf+LdQf9QVL/wBaF9zPZ50m6m+/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de69797917r3v3v3XuveycfLj/gNsP/lvuT/rXQ++IX987/yTPbz/AJq73/xzausjvu9/226/6W2/wz9Vq/zFP+AXUv8A1Fb2/wCtWK9kr98Jesl+qwffvfuvde9+9+69173/AP/V+f8A+/de63+Pfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+691xdFkVkdVdHUo6OAyurCzKynggjgg+/e/de6py+UH8gH+UZ8t8rlNzdn/DLrvb29cvJLU1m9umavcXR+dqMjUMWqMvkqbq2sxeNyNXISWlnytBVM7HU+prH3737r3VX+4P8AhGb/ACmczWS1WO3580dpQSSa0x23+4OsamjgX/jjE+6ti5OoK/4vOzf7V797917pZ7A/4R6/yfdm10NXuKk+T3bFPFLHI+M3/wB3UmOoalEN2gmk6twe2qkK/wBGMdQrf6lgeffvfuvdXc/Ev+Wl8CvgtEx+KHxW6j6dzEtK9BU7zw+AbOdk11BIul8fke0d3y5HcdTTnm8FRlHjuSdNySfe/de6PH797917r3v3v3Xuve/e/de6KT8ivgV8Lfl1ndvbo+T/AMXuku+txbTxE+B2zmu0+v8AAbwyWCwtVWHIVOLxdVmIZHhgedjK0aEAsb/X3737r3Rm9s7a2/szbe39n7Tw+O27tbamDxO2ttbfxFLFRYnBbfwVBHi8Nh8ZRQAJDT0tNFHBDEgCoiqoFh797917p79+9+69173737r3Xvfvfuvde9+9+69173737r3REu2/5X/8uvvrszOdzdz/AAp+NnZva+5qjGVe4uw95dTbSze7s5V4XHQYjE1eWzdXTNPPLT0tLTU8UkrFhHEi3soA97917o9vv3v3Xuve/e/de6Jn1z/Ls+CfUPdM/wAjurviV0JsHvqpym683P27tXrfbmH3/Nl99Q1VPvLJSblo4VqTNk462rStkL3lE0ga+o+/e/de6OZ797917r3v3v3Xuve/e/de69797917oPe1upusu9Ovd0dTdy7C2r2f1lvWhixu7dh73wtDuLa246CCtiyMFLl8NkkkhnSOoghnQOp0yIjizKCPe/de6Bb45fBn4c/EGv3Vlfi58Zulug8nvijxeP3fkOq9gbf2dW7joMJNNU4mjy9TiIY3mip5Kid442OkM5Nr29+9+690av3737r3Xvfvfuvde9+9+69173737r3QH/ID40fH75WbHputPkn05153j19R7hoN2UmzezdsYzdu3afcuLo6nH47Ow4vLRyRLVQQVlVFHMF1KssgBsx9+9+690TD/hlL+Uf/AN65fiB/6I/ZP/1L797917r3/DKX8o//AL1y/ED/ANEfsn/6l9+9+6917/hlL+Uf/wB65fiB/wCiP2T/APUvv3v3Xuvf8Mpfyj/+9cvxA/8ARH7J/wDqX3737r3Xv+GUv5R//euX4gf+iP2T/wDUvv3v3Xuvf8Mpfyj/APvXL8QP/RH7J/8AqX3737r3R1uhfjl0N8W9hjq7459RbA6T66XM5HcQ2V1ttrG7U22M7l1iTKZYYrFJHF9xUCGISyabtoW54Hv3v3Xull2T1rsDuLYe6+ru1Nnbe7B663zhqvb28dlbsxlNmtt7mwVcuisxOaxVYrRTwSgWeORSD+R797917oIPjj8Nvil8QKLdeO+Lnx76l6CoN9VWJrd5UnVWy8Ls2n3NV4GKogwtTmo8PFGKh6VKqpWBpLlBI4H6j797917oy3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de6JH3r/AC1/5f8A8nd/1PavyG+HPx27l7KrcZjMNW767C6t2ruXdNbi8NEafE0VZmchTvPKlNGfFCJHOhAqCyqoHvfuvdHD25t7CbR29gtqbaxlLhdubYw2L29t/D0KeKixOEwtCmNxWMo47nTFBBFHFGt+FUD3737r3Tz797917ri6JKjxSokkciMkkbqHR0caXR0bggjgg/X3737r3VJPyu/4Tsfyifl9l8nuvfPxP231zvzLSy1FbvnoDL5jpXJ1NXUt5KvIV+29mSw7draqZ/3Jquvwk8zuSzSFmYt737r3VXmQ/wCEV/8AK2q8g9TR96fO3FUUjhjjaXs3oaoihGq7R0tTX9ayyhbWA8rSEHkk/Qe9+690Z7pH/hJb/Jt6gyNHldydYdwfICqoZEnpo+7u5M5NjjPHyklZheqYNqUVUt+WgqqeSFvo8bLx797917rYE6W6F6R+OOx6HrPoDqPrjpbr7GuZaTZ3WGzcBsjby1TRrFNXzYzb0FPHLVShFM9VKrTSkapHZiT797917oWffvfuvde9+9+690D3enx86P8Ak51/WdU/IbqnYvc/WuQyWMzFbsbsXbuO3TtmqymFqPusTXz4nKJJE0tPJ64XK3VuR797917qF0D8a+gPitsabrL43dPde9Ide1GeyG6J9mdabZxm09uy7jytNBR5LNvi8UkcRqZ4qWmjllK6mWNATZR797917obvfvfuvde9+9+69173737r3TNuPbuC3ft7O7T3RiaDP7Z3Rhspt3cWCytNHWYvNYLNUL43L4nJUkwKS09TTyyQzRuCGRipFj797917osvx0+B3ww+Ima3HuP4v/GDpPoTPbvxdLhN0ZfqzYGA2dkM/iKGrNfR43K1OHhjaaGKYmVI3JAbkc+/e/de6Nn797917r3v3v3XuiR70/lr/AAC7H7ql+R2//h78e9598z7m27vKftzc3WW2s1v2bdO0UpItr52XceQgkqGqMelDRpSSM58SwRKtlRQPe/de6O5797917r3v3v3Xuve/e/de69797917r3v3v3Xuve/e/de6C7ufpHqD5F9cbg6f74612X271butsU25Ngdg7fx259qZt8FmafcOGkyOGyiSQyNS11JTVcDMt0liR1IZQffvfuvdIH45/D/4t/EPFbmwXxe6C6s6Ewu88hQZbdeJ6s2hidn4/cGUxlM9Hj8jlKTERxxyzRRSPGkjLqCnTewFve/de6Mf797917r3v3v3XuiZ9ffy7Pgn1R3dN8lOtfiV0Jsbv+ozO7txT9w7Y6325iOwpc7v6nq6TeuWk3PSQrUmoykVfWx10mu8qzyhydZ9+9+690cz3737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3Xvfvfuvde9+9+69173737r3XvfvfuvdVNfLz+Rt/Kx+b+Wym6u9viH143YWXkmqsh2b1m+Z6e3/kslOfXl9wZ3rKpxYzNV+PJnIqziwIIVbe9+691Udm/wDhGR/KdyuRlrqDsb5sbZppHLJh8J291RPjoVLXEcUu49g5CrKj6DXVMbfm/Pv3v3XujRdCf8JVP5NXRuVoc7lOit7d95jGyRz0U/ffaW5NzYpZ421eSu2fs/8AgOCrlb6NBkMXPCR/uu/Pv3v3XutgDrzrbrvqPZ+F696p2Hs3rPYO26UUW3tk9f7YwuztpYKjDFvtcPtzb0FPR00dyTohhUXJP19+9+690tPfvfuvde9+9+69173737r3QKd+fG/oP5TbEXrD5H9Qdf8Ad3XaZzH7lTZfZW2cbuvbi7gxMU0GMzAxWVSSL7iBKidYpdOpRIwB5Pv3v3XupXRfx86P+MfX9H1T8eeqdi9Mda4/JZPMUWxuutu47a22aXKZqo+6y1fBicWkcSy1EnrmcLdm5Pv3v3Xuhh9+9+69173737r3Xvfvfuvde9+9+69173737r3RCs7/ACtv5cu5e2q3vnOfCf42ZDunIb4Tsyt7Sk6p2rHvmo7ETLruBd8PuOCnSpGV+/Va378SCbzjzF/J6vfvfuvdKj5A/wAuz4KfK7e9J2V8lviZ0P3pv/H7dodo0G7+0Ou9v7wz9FtfGV1Vk8ft+kyOYhlkjo4amtrJ44EIQSTSuBqdife/de6N9isVjMFi8bhMLj6PE4fDUFHisTi8fTxUmPxuMx9OtJQY+hpIAqRQwxIkcUaKFVQAAAPfvfuvdT/fvfuvde9+9+69173737r3Xvfvfuvde9+9+690md6bM2l2Ps/dfXu/tuYXeOxt9bbzez95bS3Hj6bLbf3RtXcuNlw24NvZzFVqvDU0dbSTS09TBKpSSN2VgQSPfvfuvdFq+O3wE+FHxH3Jnd4fGH4udJdC7o3Pg121uLO9WbBwWzslm8AtfFlExOUqcPFGZoFqIYplR7gMoItz797917rL8ivgV8Lfl1ndvbo+T/xe6S763FtPET4HbOa7T6/wG8MlgsLVVhyFTi8XVZiGR4YHn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+</svg>
diff --git a/oeaplatform/frontend/client/static/logo-universitaet-innsbruck.svg b/oeaplatform/frontend/client/static/logo-universitaet-innsbruck.svg
new file mode 100644
index 0000000000000000000000000000000000000000..3d6e9b269e4cb104d10bd8c6a36f7d737ef7a2c3
--- /dev/null
+++ b/oeaplatform/frontend/client/static/logo-universitaet-innsbruck.svg
@@ -0,0 +1,3 @@
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diff --git a/oeaplatform/frontend/client/static/logo-universitaet-wien.svg b/oeaplatform/frontend/client/static/logo-universitaet-wien.svg
new file mode 100644
index 0000000000000000000000000000000000000000..a1c2751b7776c8c810895f1126b7f0d4e2f8e3f0
--- /dev/null
+++ b/oeaplatform/frontend/client/static/logo-universitaet-wien.svg
@@ -0,0 +1,3 @@
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diff --git a/oeaplatform/frontend/client/static/logo_bmbwf.svg b/oeaplatform/frontend/client/static/logo_bmbwf.svg
new file mode 100644
index 0000000000000000000000000000000000000000..f9e47973eebc145dac0a52740c33edec11e29cb3
--- /dev/null
+++ b/oeaplatform/frontend/client/static/logo_bmbwf.svg
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new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-audio-grey.svg b/oeaplatform/frontend/client/static/thumb/file-audio-grey.svg
new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-code-green.svg b/oeaplatform/frontend/client/static/thumb/file-code-green.svg
new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-code-grey.svg b/oeaplatform/frontend/client/static/thumb/file-code-grey.svg
new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-excel-green.svg b/oeaplatform/frontend/client/static/thumb/file-excel-green.svg
new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-excel-grey.svg b/oeaplatform/frontend/client/static/thumb/file-excel-grey.svg
new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-image-green.svg b/oeaplatform/frontend/client/static/thumb/file-image-green.svg
new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-pdf-grey.svg b/oeaplatform/frontend/client/static/thumb/file-pdf-grey.svg
new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-video-grey.svg b/oeaplatform/frontend/client/static/thumb/file-video-grey.svg
new file mode 100644
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new file mode 100644
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diff --git a/oeaplatform/frontend/client/static/thumb/file-word-grey.svg b/oeaplatform/frontend/client/static/thumb/file-word-grey.svg
new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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+++ b/oeaplatform/frontend/client/static/thumb/question-grey.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="64" hight="64" viewBox="0 0 384 512"><style>svg{fill:#606060}</style><path d="M80 160c0-35.3 28.7-64 64-64h32c35.3 0 64 28.7 64 64v3.6c0 21.8-11.1 42.1-29.4 53.8l-42.2 27.1c-25.2 16.2-40.4 44.1-40.4 74V320c0 17.7 14.3 32 32 32s32-14.3 32-32v-1.4c0-8.2 4.2-15.8 11-20.2l42.2-27.1c36.6-23.6 58.8-64.1 58.8-107.7V160c0-70.7-57.3-128-128-128H144C73.3 32 16 89.3 16 160c0 17.7 14.3 32 32 32s32-14.3 32-32zm80 320a40 40 0 1 0 0-80 40 40 0 1 0 0 80z"/></svg>
\ No newline at end of file
diff --git a/oeaplatform/frontend/client/store/index.js b/oeaplatform/frontend/client/store/index.js
new file mode 100644
index 0000000000000000000000000000000000000000..d7a2bedd7cfe0e000bd423f89c3eee9d0babe297
--- /dev/null
+++ b/oeaplatform/frontend/client/store/index.js
@@ -0,0 +1,214 @@
+import httpRequest from '~/utils/HTTPRequest'
+export const strict = false
+
+export const state = () => ({
+ size: 10,
+ currentPage: 0,
+ query: '',
+ fixedQuery: '',
+ totalResults: 0,
+ numOfPages: 0,
+ formatedPages: [],
+ results: [],
+ isSearching: false,
+ isLoading: false,
+ disciplines: [],
+ filteredDisciplines: [],
+ selectedDisciplines: [],
+ learningRTs: [],
+ filteredLearningRTs: [],
+ selectedLearningRTs: [],
+ languages: [],
+ filteredLanguages: [],
+ selectedLanguages: [],
+ licences: [],
+ selectedLicences: [],
+ mediaTypes: [],
+ selectedMediaTypes: [],
+ sources: [],
+ selectedSources: [],
+ selectedDateRange: '',
+ documentData: false,
+ sortType: '',
+ sortOrder: '',
+ sortinDescription: '',
+ sortinLearningRT: '',
+ favorites: [],
+ favoritesData: [],
+ startDate: '',
+ endDate: '',
+ modal: '',
+ startItem: '',
+ endItem: '',
+})
+
+export const mutations = {
+ resetFilters(state, _) {
+ state.selectedDisciplines = []
+ state.selectedLearningRTs = []
+ state.selectedLanguages = []
+ state.selectedLicences = []
+ state.selectedDateRange = ''
+ state.selectedSources = []
+ state.selectedMediaTypes = []
+ state.size = 10
+ state.currentPage = 0
+ state.startDate = ''
+ state.endDate = ''
+ state.startItem = ''
+ state.endItem = ''
+ },
+ changeSize(state, payload) {
+ state.size = payload
+ },
+ changeCurrentPage(state, payload) {
+ state.currentPage = payload
+ },
+ changeQuery(state, payload) {
+ state.query = payload
+ },
+ changeTotalResults(state, payload) {
+ state.totalResults = payload
+ },
+ changeStartItem(state, payload) {
+ state.startItem = payload
+ },
+ changeEndItem(state, payload) {
+ state.endItem = payload
+ },
+ changeNumOfPages(state, payload) {
+ state.numOfPages = payload
+ },
+ changeResults(state, payload) {
+ state.results = [...payload]
+ },
+ changeIsSearching(state, payload) {
+ state.isSearching = payload
+ },
+ changeIsLoading(state, payload) {
+ state.isLoading = payload
+ },
+ changeDisciplines(state, payload) {
+ state.disciplines = payload
+ },
+ changeLearningRTs(state, payload) {
+ state.learningRTs = payload
+ },
+ changeLanguages(state, payload) {
+ state.languages = payload
+ },
+ changeFilteredDisciplines(state, payload) {
+ state.filteredDisciplines = payload
+ },
+ changeFilteredLearningRTs(state, payload) {
+ state.filteredLearningRTs = payload
+ },
+ changeFilteredLanguages(state, payload) {
+ state.filteredLanguages = payload
+ },
+ changeSelectedDisciplines(state, payload) {
+ state.selectedDisciplines = payload
+ },
+ changeSelectedLearningRTs(state, payload) {
+ state.selectedLearningRTs = payload
+ },
+ changeSelectedLanguages(state, payload) {
+ state.selectedLanguages = payload
+ },
+ changeLicences(state, payload) {
+ state.licences = payload
+ },
+ changeSelectedLicences(state, payload) {
+ state.selectedLicences = payload
+ },
+ changeMediaTypes(state, payload) {
+ state.mediaTypes = payload
+ },
+ changeSelectedMediaTypes(state, payload) {
+ state.selectedMediaTypes = payload
+ },
+ changeSources(state, payload) {
+ state.sources = payload
+ },
+ changeSelectedSources(state, payload) {
+ state.selectedSources = payload
+ },
+ changeSelectedDateRange(state, payload) {
+ state.selectedDateRange = payload
+ },
+ changeDocumentData(state, payload) {
+ state.documentData = payload
+ },
+ changeFixedQuery(state, payload) {
+ state.fixedQuery = payload
+ },
+ changeSortType(state, payload) {
+ state.sortType = payload
+ },
+ changeSortOrder(state, payload) {
+ state.sortOrder = payload
+ },
+ changeSortingDescription(state, payload) {
+ state.sortingDescription = payload
+ },
+ resetSort(state, _) {
+ state.sortType = ''
+ state.sortOrder = ''
+ },
+ fetchFavorites(state, _) {
+ const favorites = JSON.parse(window.localStorage.getItem('favorites')) || []
+ state.favorites = [...favorites]
+ },
+ changeFavorites(state, payload) {
+ const favorites = JSON.parse(window.localStorage.getItem('favorites')) || []
+ const index = favorites.indexOf(payload)
+ if (index !== -1) {
+ favorites.splice(index, 1)
+ } else favorites.push(payload)
+ state.favorites = favorites
+ window.localStorage.setItem('favorites', JSON.stringify(favorites))
+ },
+ changeFavoritesData(state, payload) {
+ state.favoritesData = payload
+ },
+ changeStartDate(state, payload) {
+ state.startDate = payload
+ },
+ changeEndDate(state, payload) {
+ state.endDate = payload
+ },
+ changeModal(state, payload) {
+ state.modal = payload
+ },
+ formatPages(state, _) {
+ state.formatPages = []
+ const current = state.currentPage
+ const last = state.numOfPages
+ const delta = 2
+ const left = current - delta + 1
+ const right = current + delta + 1
+ const range = []
+ const rangeWithDots = []
+ let l
+
+ for (let i = 1; i <= last; i++) {
+ if (i === 1 || i === last || (i >= left && i < right)) {
+ range.push(i)
+ }
+ }
+
+ for (const i of range) {
+ if (l) {
+ if (i - l === 2) {
+ rangeWithDots.push(l + 1)
+ } else if (i - l !== 1) {
+ rangeWithDots.push('...')
+ }
+ }
+ rangeWithDots.push(i)
+ l = i
+ }
+
+ state.formatedPages = rangeWithDots
+ },
+}
diff --git a/oeaplatform/frontend/client/tailwind.config.js b/oeaplatform/frontend/client/tailwind.config.js
new file mode 100644
index 0000000000000000000000000000000000000000..f7cb2845aaf8fcc538c56408652de953dc835da6
--- /dev/null
+++ b/oeaplatform/frontend/client/tailwind.config.js
@@ -0,0 +1,14 @@
+module.exports = {
+ theme: {
+ maxWidth: {
+ '6xl': '67rem',
+ '7xl': '79.99rem',
+ },
+ extend: {
+ width: {
+ '6xl': '67rem',
+ '7xl': '79.99rem',
+ },
+ },
+ },
+}
diff --git a/oeaplatform/frontend/client/test/Logo.spec.js b/oeaplatform/frontend/client/test/Logo.spec.js
new file mode 100644
index 0000000000000000000000000000000000000000..c5fbeeb73df86138eda7acdd55c114a9ccfb4584
--- /dev/null
+++ b/oeaplatform/frontend/client/test/Logo.spec.js
@@ -0,0 +1,9 @@
+import { mount } from '@vue/test-utils'
+import Logo from '@/components/Logo.vue'
+
+describe('Logo', () => {
+ test('is a Vue instance', () => {
+ const wrapper = mount(Logo)
+ expect(wrapper.vm).toBeTruthy()
+ })
+})
diff --git a/oeaplatform/frontend/client/tsconfig.json b/oeaplatform/frontend/client/tsconfig.json
new file mode 100644
index 0000000000000000000000000000000000000000..1ff85ff1f7b741d96110d93dc9f0eaeb345133a6
--- /dev/null
+++ b/oeaplatform/frontend/client/tsconfig.json
@@ -0,0 +1,21 @@
+{
+ "compilerOptions": {
+ "target": "ES2018",
+ "module": "ESNext",
+ "moduleResolution": "Node",
+ "lib": ["ESNext", "ESNext.AsyncIterable", "DOM"],
+ "esModuleInterop": true,
+ "allowJs": true,
+ "sourceMap": true,
+ "strict": true,
+ "noEmit": true,
+ "experimentalDecorators": true,
+ "baseUrl": ".",
+ "paths": {
+ "~/*": ["./*"],
+ "@/*": ["./*"]
+ },
+ "types": ["@types/node", "@nuxt/types", "nuxt-i18n"]
+ },
+ "exclude": ["node_modules", ".nuxt", "dist"]
+}
diff --git a/oeaplatform/frontend/client/utils/HTTPRequest.js b/oeaplatform/frontend/client/utils/HTTPRequest.js
new file mode 100644
index 0000000000000000000000000000000000000000..ceb5c4ae98b6b32efb1bcc65bba586b01212dabd
--- /dev/null
+++ b/oeaplatform/frontend/client/utils/HTTPRequest.js
@@ -0,0 +1,14 @@
+import axios from 'axios'
+
+const httpRequest = axios.create({
+ // note: this really seems to be just a base url, "/search/" is appended at runtime
+ // baseURL: 'https://oea-test.univie.ac.at',
+ baseURL: process.env.FRONTEND_SERVER_BASE_URL,
+ withCredentials: false,
+ headers: {
+ 'Access-Control-Allow-Origin': '*',
+ 'Access-Control-Allow-Methods': 'GET,PUT,POST,DELETE,PATCH,OPTIONS',
+ },
+})
+
+export default httpRequest
diff --git a/oeaplatform/frontend/client/yarn.lock b/oeaplatform/frontend/client/yarn.lock
new file mode 100644
index 0000000000000000000000000000000000000000..c7ee1b66552eb5d8ca08b4588aa2bdb790681c61
--- /dev/null
+++ b/oeaplatform/frontend/client/yarn.lock
@@ -0,0 +1,10580 @@
+# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
+# yarn lockfile v1
+
+
+"@alloc/quick-lru@^5.2.0":
+ version "5.2.0"
+ resolved "https://registry.yarnpkg.com/@alloc/quick-lru/-/quick-lru-5.2.0.tgz#7bf68b20c0a350f936915fcae06f58e32007ce30"
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+
+"@ampproject/remapping@^2.2.0":
+ version "2.3.0"
+ resolved "https://registry.yarnpkg.com/@ampproject/remapping/-/remapping-2.3.0.tgz#ed441b6fa600072520ce18b43d2c8cc8caecc7f4"
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+yargs-parser@^21.1.1:
+ version "21.1.1"
+ resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-21.1.1.tgz#9096bceebf990d21bb31fa9516e0ede294a77d35"
+ integrity sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==
+
+yargs@^17.2.1:
+ version "17.7.2"
+ resolved "https://registry.yarnpkg.com/yargs/-/yargs-17.7.2.tgz#991df39aca675a192b816e1e0363f9d75d2aa269"
+ integrity sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==
+ dependencies:
+ cliui "^8.0.1"
+ escalade "^3.1.1"
+ get-caller-file "^2.0.5"
+ require-directory "^2.1.1"
+ string-width "^4.2.3"
+ y18n "^5.0.5"
+ yargs-parser "^21.1.1"
+
+ylru@^1.2.0:
+ version "1.4.0"
+ resolved "https://registry.yarnpkg.com/ylru/-/ylru-1.4.0.tgz#0cf0aa57e9c24f8a2cbde0cc1ca2c9592ac4e0f6"
+ integrity sha512-2OQsPNEmBCvXuFlIni/a+Rn+R2pHW9INm0BxXJ4hVDA8TirqMj+J/Rp9ItLatT/5pZqWwefVrTQcHpixsxnVlA==
+
+yocto-queue@^0.1.0:
+ version "0.1.0"
+ resolved "https://registry.yarnpkg.com/yocto-queue/-/yocto-queue-0.1.0.tgz#0294eb3dee05028d31ee1a5fa2c556a6aaf10a1b"
+ integrity sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==
diff --git a/oeaplatform/frontend/docker-compose.yml b/oeaplatform/frontend/docker-compose.yml
new file mode 100644
index 0000000000000000000000000000000000000000..61bac3749b6e40d5363ce68a0b0c4bdab555fc21
--- /dev/null
+++ b/oeaplatform/frontend/docker-compose.yml
@@ -0,0 +1,22 @@
+version: "3"
+
+services:
+ proxy:
+ image: nginx
+ volumes:
+ - "./proxy/nginx.conf:/etc/nginx/conf.d/default.conf"
+ ports:
+ - 127.0.0.1:8080:80
+
+ frontend-server:
+ build: ./server
+ environment:
+ # This is defined in the yml one above INDEX_BASE_URL: https://oea-sandbox.univie.ac.at/q/v1/
+ # ENV: DEV # not sure what this is/does
+
+ frontend-client:
+ build: ./client
+ environment:
+ # set env vars for node to be read, without it it'll listen on the container's "localhost" only
+ # This is defined now in the yml one above HOST: 0.0.0.0
+ # This is defined now in the yml one above NODE_ENV: production
diff --git a/oeaplatform/frontend/proxy/nginx.conf b/oeaplatform/frontend/proxy/nginx.conf
new file mode 100644
index 0000000000000000000000000000000000000000..834f0822fb1d6154c8197e133a4912d276b35257
--- /dev/null
+++ b/oeaplatform/frontend/proxy/nginx.conf
@@ -0,0 +1,14 @@
+server {
+ listen 80;
+ server_name localhost;
+
+ # search-server part
+ location /search {
+ proxy_pass http://frontend-server:3000;
+ }
+
+ # search-client part
+ location / {
+ proxy_pass http://frontend-client:3000/;
+ }
+}
diff --git a/oeaplatform/frontend/server/.dockerignore b/oeaplatform/frontend/server/.dockerignore
new file mode 100644
index 0000000000000000000000000000000000000000..29d6828b4e34ccc496fe32ed6fd0c9165f14d8e9
--- /dev/null
+++ b/oeaplatform/frontend/server/.dockerignore
@@ -0,0 +1,3 @@
+node_modules
+npm-debug.log
+
diff --git a/oeaplatform/frontend/server/.env b/oeaplatform/frontend/server/.env
new file mode 100644
index 0000000000000000000000000000000000000000..ee9f15d7610f2d7cd8ac3b78502f61f302769c8f
--- /dev/null
+++ b/oeaplatform/frontend/server/.env
@@ -0,0 +1,3 @@
+# URL=https://portal.openeducation.at/q/v1/
+# ENV=DEV
+# PORT=3033
diff --git a/oeaplatform/frontend/server/.gitignore b/oeaplatform/frontend/server/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..40b878db5b1c97fc77049537a71bb2e249abe5dc
--- /dev/null
+++ b/oeaplatform/frontend/server/.gitignore
@@ -0,0 +1 @@
+node_modules/
\ No newline at end of file
diff --git a/oeaplatform/frontend/server/Dockerfile b/oeaplatform/frontend/server/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..2d7139cd5382e01e23ec2b2c38cdf2201addb492
--- /dev/null
+++ b/oeaplatform/frontend/server/Dockerfile
@@ -0,0 +1,70 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION="1.0.0" \
+ APP_NODE_VERSION="20.18.3" \
+ APP_NODE_MAJOR_VERSION="20"
+# Remark DOCKER_REG has to end with / if specified
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS osbase
+
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && apt-get -y install tzdata
+
+FROM osbase AS nodebuilder
+ARG APP_NODE_VERSION \
+ APP_NODE_MAJOR_VERSION
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+ENV NODE_VERSION=${APP_NODE_VERSION}
+ENV NODE_MAJOR=${APP_NODE_MAJOR_VERSION}
+ENV PKG_RELEASE=1nodesource1
+
+## install
+# node
+RUN apt-get update && apt-get install -y \
+ ca-certificates curl gnupg \
+ python3 g++ build-essential
+RUN curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg \
+ && echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_$NODE_MAJOR.x nodistro main" | tee /etc/apt/sources.list.d/nodesource.list > /dev/null
+RUN apt update && apt install -y nodejs=${NODE_VERSION}-${PKG_RELEASE}
+RUN npm install --global yarn
+
+## remove
+RUN apt purge gnupg -y && apt autoremove -y && apt clean -y && rm -rfv /var/lib/apt/lists/*
+
+# RUN npm install -g npm@10.1.0
+# RUN npm update -g
+
+FROM nodebuilder AS nodeapi
+WORKDIR /usr/src/app
+COPY ./docker-entrypoint.sh /usr/src/app/docker-entrypoint.sh
+COPY package*.json ./
+
+# If you are building your code for production
+RUN npm ci --only=production
+
+# Bundle app source
+COPY . .
+
+FROM scratch AS main
+ARG OS_RELEASE \
+ APP_VERSION \
+ APP_NODE_VERSION \
+ OS_RELEASE \
+ OC_CREATED
+## OCI annotation keys
+LABEL org.opencontainers.image.title=frontend-api
+LABEL org.opencontainers.image.vendor=UniVie
+LABEL org.opencontainers.image.authors=pt
+LABEL org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE}
+LABEL org.opencontainers.image.created=${OC_CREATED}
+ENV NODE_VERSION=${APP_NODE_VERSION}
+
+COPY --from=nodeapi / /
+WORKDIR /usr/src/app
+
+# EXPOSE 3033
+CMD [ "node", "server.js" ]
diff --git a/oeaplatform/frontend/server/app.js b/oeaplatform/frontend/server/app.js
new file mode 100644
index 0000000000000000000000000000000000000000..21f20a9330728a5b55580ef7f04add0242f21e00
--- /dev/null
+++ b/oeaplatform/frontend/server/app.js
@@ -0,0 +1,20 @@
+// Libraries imports
+const express = require('express')
+const cors = require('cors')
+const axios = require('axios')
+require('dotenv').config()
+
+// Relative imports
+const search = require('./routes/searchRoute')
+
+const app = express()
+// INDEX_BASE_URL is set at runtime (by docker-compose.yml for example)
+axios.defaults.baseURL = process.env.INDEX_BASE_URL
+
+// Middleware
+app.use(cors())
+app.use(express.json({ extended: true }))
+
+app.use('/search', search)
+
+module.exports = app
diff --git a/oeaplatform/frontend/server/controllers/searchController.js b/oeaplatform/frontend/server/controllers/searchController.js
new file mode 100644
index 0000000000000000000000000000000000000000..37226cd6ea08af87d3f2d417661b180782ae7e47
--- /dev/null
+++ b/oeaplatform/frontend/server/controllers/searchController.js
@@ -0,0 +1,513 @@
+const axios = require('axios')
+
+exports.defaultSearch = async (req, res) => {
+ try {
+ const { query, disciplines, learningRTs, languages, licences, mediaTypes, sources, dateRange, sort, startDate, endDate } = req.body
+ // query, page, size,
+ let from = 0
+ let page = req.body.page
+ let size = req.body.size
+ if (!page) {
+ page = 0
+ }
+ if (!size) {
+ size = 10
+ }
+ from = page * size
+
+ const customDateQuery = {
+ bool: {
+ should: {
+ range: {
+ oea_classification_03: {},
+ },
+ },
+ },
+ }
+
+ const lowerQuery = query.toLowerCase()
+ const queryBuilder = {
+ bool:
+ {
+ must:
+ [
+ {
+ bool:
+ {
+ should:
+ [
+ {
+ multi_match:
+ {
+ query: lowerQuery,
+ fields: ['oea_title^2', 'oea_title.de^2.5', 'oea_title.en^1.5', 'oea_authors^0.5', 'oea_abstract', 'oea_abstract.de^2.5', 'oea_abstract.en^1.5' ],
+ operator: 'and',
+ fuzziness: 'AUTO:3,7',
+ prefix_length: '2'
+ }
+ },
+ {
+ wildcard:
+ {
+ //'oea_abstract': { value: lowerQuery + '*' }
+ 'oea_abstract': { value: lowerQuery }
+ }
+ },
+ {
+ nested:
+ {
+ path: 'oea_classification_01',
+ query:
+ {
+ bool:
+ {
+ should:
+ [
+ {
+ term: { 'oea_classification_01.name_de': { value: lowerQuery, 'case_insensitive': true } }
+ },
+ {
+ term: { 'oea_classification_01.name_en': { value: lowerQuery, 'case_insensitive': true } }
+ }
+ ]
+ }
+ }
+ }
+ },
+ {
+ nested:
+ {
+ path: 'oea_classification_04',
+ query:
+ {
+ bool:
+ {
+ should:
+ [
+ {
+ term: { 'oea_classification_04.name_de': { value: lowerQuery, 'case_insensitive': true } }
+ },
+ {
+ term: { 'oea_classification_04.name_en': { value: lowerQuery, 'case_insensitive': true } }
+ }
+ ]
+ }
+ }
+ }
+ },
+ {
+ nested:
+ {
+ path: 'oea_classification_06',
+ query:
+ {
+ bool:
+ {
+ should:
+ [
+ {
+ term: { 'oea_classification_06.name_de': { value: lowerQuery, 'case_insensitive': true } }
+ },
+ {
+ term: { 'oea_classification_06.name_en': { value: lowerQuery, 'case_insensitive': true } }
+ }
+ ]
+ }
+ }
+ }
+ }
+ ]
+ }
+ }
+ ],
+ must_not: { term: { 'oea_valid': 'false' } },
+ },
+ }
+
+ if (mediaTypes && mediaTypes.length > 0) {
+ // const mediaTypesQuery = mediaTypes.map(licence => ({ match: { oea_classification_05: licence } }))
+ const mediaTypesQuery = mediaTypes.map(mediaType => ({ match: { oea_classification_05: mediaType } }))
+
+ queryBuilder.bool.must = [
+ ...queryBuilder.bool.must,
+ {
+ bool: {
+ should: mediaTypesQuery,
+ },
+ },
+ ]
+ }
+
+ if (disciplines && disciplines.length > 0) {
+ const disciplinesQuery = disciplines.map(discipline => ({ match: { 'oea_classification_01.id': discipline.id } }))
+
+ queryBuilder.bool.must = [
+ ...queryBuilder.bool.must,
+ {
+ nested: {
+ path: 'oea_classification_01',
+ query: { bool: { should: disciplinesQuery } },
+ },
+ },
+ ]
+ }
+
+ if (learningRTs && learningRTs.length > 0) {
+ const learningRTsQuery = learningRTs.map(learningRT => ({ match: { 'oea_classification_04.id': learningRT.id } }))
+
+ queryBuilder.bool.must = [
+ ...queryBuilder.bool.must,
+ {
+ nested: {
+ path: 'oea_classification_04',
+ query: { bool: { should: learningRTsQuery } },
+ },
+ },
+ ]
+ }
+
+ if (languages && languages.length > 0) {
+ const languagesQuery = languages.map(language => ({ match: { 'oea_classification_06.id': language.id } }))
+
+ queryBuilder.bool.must = [
+ ...queryBuilder.bool.must,
+ {
+ nested: {
+ path: 'oea_classification_06',
+ query: { bool: { should: languagesQuery } },
+ },
+ },
+ ]
+ }
+
+ if (licences && licences.length > 0) {
+ const licencesQuery = licences.map(licence => ({ match: { oea_classification_02: licence } }))
+
+ queryBuilder.bool.must = [
+ ...queryBuilder.bool.must,
+ {
+ bool: {
+ should: licencesQuery,
+ },
+ },
+ ]
+ }
+
+ // Substracts current date from input start date which return millisecond, which are after converted to days
+ // After that depending if result is greater than zero or not returns a query for elasticsearch ex. 'now-30d/d'
+ if (startDate) {
+ const startDateDays = Math.floor((new Date() - new Date(startDate)) / 1000 / 60 / 60 / 24)
+ const startQuery = startDateDays > 0 ? `now-${startDateDays}d/d` : `now+${startDateDays * -1}d/d`
+
+ customDateQuery.bool.should.range.oea_classification_03 = { ...customDateQuery.bool.should.range.oea_classification_03, gte: startQuery }
+ }
+
+ if (endDate) {
+ const endDateDays = Math.floor((new Date() - new Date(endDate)) / 1000 / 60 / 60 / 24)
+ const endQuery = endDateDays > 0 ? `now-${endDateDays}d/d` : `now+${endDateDays * -1}d/d`
+
+ customDateQuery.bool.should.range.oea_classification_03 = { ...customDateQuery.bool.should.range.oea_classification_03, lte: endQuery }
+ }
+
+ if (startDate || endDate) {
+ queryBuilder.bool.must = [...queryBuilder.bool.must, customDateQuery]
+ }
+
+ if (dateRange && dateRange !== 'customDate') {
+ const dateRangeQuery = { range: { oea_classification_03: { gte: dateRange } } }
+
+ queryBuilder.bool.must = [
+ ...queryBuilder.bool.must,
+ {
+ bool: {
+ should: dateRangeQuery,
+ },
+ },
+ ]
+ }
+
+ if (sources && sources.length > 0) {
+ const sourcesQuery = sources.map(source => ({ match: { _index: source } }))
+
+ queryBuilder.bool.must = [
+ ...queryBuilder.bool.must,
+ {
+ bool: {
+ should: sourcesQuery,
+ },
+ },
+ ]
+ }
+
+ let requestBody = {
+ query: queryBuilder,
+ from,
+ size,
+ highlight: {
+ fields: {
+ 'oea_abstract': {},
+ 'oea_title': {},
+ 'oea_authors': {},
+ 'oea_classification_01.name_en': {},
+ 'oea_classification_01.name_de': {},
+ 'oea_classification_04.name_en': {},
+ 'oea_classification_04.name_de': {},
+ 'oea_classification_06.name_en': {},
+ 'oea_classification_06.name_de': {},
+ }
+ },
+ aggregations: {
+ facet_oea_classification_05: { terms: { field: 'oea_classification_05' } },
+ facet_oea_classification_01: {
+ nested: { path: 'oea_classification_01' },
+ aggregations: {
+ id: {
+ terms: { field: 'oea_classification_01.id', size: 123 },
+ aggregations: { name_de: { terms: { field: 'oea_classification_01.name_de' } }, name_en: { terms: { field: 'oea_classification_01.name_en' } } },
+ },
+ },
+ },
+ facet_oea_classification_04: {
+ nested: { path: 'oea_classification_04' },
+ aggregations: {
+ id: {
+ terms: { field: 'oea_classification_04.id', size: 123 },
+ aggregations: { name_de: { terms: { field: 'oea_classification_04.name_de' } }, name_en: { terms: { field: 'oea_classification_04.name_en' } } },
+ },
+ },
+ },
+ facet_oea_classification_06: {
+ nested: { path: 'oea_classification_06' },
+ aggregations: {
+ id: {
+ terms: { field: 'oea_classification_06.id', size: 123 },
+ aggregations: { name_de: { terms: { field: 'oea_classification_06.name_de' } }, name_en: { terms: { field: 'oea_classification_06.name_en' } } },
+ },
+ },
+ },
+ facet_oea_classification_02: { terms: { field: 'oea_classification_02', size: 23 } },
+ facet_oea_classification_03: {
+ date_range: {
+ field: 'oea_classification_03',
+ keyed: true,
+ ranges: [
+ { from: 'now/d', key: 'today' },
+ { from: 'now-7d/d', key: 'last_week' },
+ { from: 'now-1M/d', key: 'last_month' },
+ { from: 'now-1y/d', key: 'last_year' },
+ ],
+ },
+ },
+ facet__index: { terms: { field: '_index' } },
+ },
+ }
+
+ if (sort && sort.type === 'date') {
+ requestBody = {
+ ...requestBody,
+ sort: [
+ {
+ oea_classification_03: {
+ order: sort.order,
+ mode: 'min',
+ },
+ },
+ ],
+ }
+ }
+
+ // show requested query in console
+ console.log(JSON.stringify(requestBody, null, 4))
+
+ const resp = await axios.post('', requestBody)
+
+ const disciplinesCounter = {}
+ const learningRTsCounter = {}
+ const languagesCounter = {}
+ const licenceCounter = {}
+ const mediaTypeCounter = {}
+ const sourceCounter = {}
+
+ const disciplinesArr = resp.data.aggregations.facet_oea_classification_01.id.buckets.map(discipline => {
+ if (!disciplinesCounter[discipline.key]) {
+ disciplinesCounter[discipline.key] = 1
+ return {
+ id: discipline.key,
+ name_en: discipline.name_en.buckets[0].key,
+ name_de: discipline.name_de.buckets[0].key,
+ }
+ }
+ })
+
+ const learningRTsArr = resp.data.aggregations.facet_oea_classification_04.id.buckets.map(learningRT => {
+ if (!learningRTsCounter[learningRT.key]) {
+ learningRTsCounter[learningRT.key] = 1
+ return {
+ id: learningRT.key,
+ name_en: learningRT.name_en.buckets[0].key,
+ name_de: learningRT.name_de.buckets[0].key,
+ }
+ }
+ })
+
+ const languagesArr = resp.data.aggregations.facet_oea_classification_06.id.buckets.map(language => {
+ if (!languagesCounter[language.key]) {
+ languagesCounter[language.key] = 1
+ return {
+ id: language.key,
+ name_en: language.name_en.buckets[0].key,
+ name_de: language.name_de.buckets[0].key,
+ }
+ }
+ })
+
+ const licencesArr = resp.data.aggregations.facet_oea_classification_02.buckets.map(licence => {
+ if (!licenceCounter[licence.key]) {
+ licenceCounter[licence.key] = 1
+ return licence.key
+ }
+ })
+
+ const mediaTypesArr = resp.data.aggregations.facet_oea_classification_05.buckets.map(mediaType => {
+ if (!mediaTypeCounter[mediaType.key]) {
+ mediaTypeCounter[mediaType.key] = 1
+ return mediaType.key
+ }
+ })
+
+ const sourcesArr = resp.data.aggregations.facet__index.buckets.map(source => {
+ if (!sourceCounter[source.key]) {
+ sourceCounter[source.key] = 1
+ return source.key
+ }
+ })
+
+ // Sorts an array of the disciplines based on a "Name_de" object property
+ const sortedDisciplines = disciplinesArr.sort((a, b) => (a.name_de > b.name_de ? 1 : b.name_de > a.name_de ? -1 : 0))
+ const sortedLearningRTs = learningRTsArr.sort((a, b) => (a.name_de > b.name_de ? 1 : b.name_de > a.name_de ? -1 : 0))
+ const sortedLanguages = languagesArr.sort((a, b) => (a.name_de > b.name_de ? 1 : b.name_de > a.name_de ? -1 : 0))
+
+ res.send({ data: resp.data, disciplines: sortedDisciplines, learningRTs: sortedLearningRTs, languages: sortedLanguages, licences: licencesArr, mediaType: mediaTypesArr, sources: sourcesArr })
+ } catch (err) {
+ res.send(err)
+ console.log(err)
+ }
+}
+
+exports.findArticleById = async (req, res) => {
+ try {
+ const { id } = req.params
+ const query = { query: { bool: { must: [{ term: { _id: id } }] } } }
+ const resp = await axios.post('', query)
+
+ res.send({ data: resp.data.hits.hits[0] })
+ } catch (err) {
+ console.log(err)
+ res.send(err)
+ }
+}
+
+exports.getFavorites = async (req, res) => {
+ try {
+ // console.log('getFavorites ids:' + req.body.ids)
+
+ const ids = req.body.ids
+ let page = req.body.page
+ let size = req.body.size
+ let from = 0
+ if (!page) {
+ page = 0
+ }
+ if (!size) {
+ size = 10
+ }
+ from = page * size
+
+ // console.log('getFavorites: size, page - ' + size + ', ' + page)
+
+ const queryBuilder = {
+ query: {
+ ids: {
+ values: [],
+ },
+ },
+ from,
+ size
+ }
+
+ ids.forEach(id => (queryBuilder.query.ids.values = [...queryBuilder.query.ids.values, id]))
+ // console.log(queryBuilder);
+ const resp = await axios.post('', queryBuilder)
+ res.send({ data: resp.data })
+ } catch (err) {
+ console.log(err)
+ res.send(err)
+ }
+}
+
+exports.findArticlesByAuthor = async (req, res) => {
+ try {
+ // console.log(req.params)
+
+ const name = req.params.name
+ let page = req.params.page
+ let size = req.params.size
+ let from = 0
+ if (!page) {
+ page = 0
+ }
+ if (!size) {
+ size = 10
+ }
+ from = page * size
+
+ // console.log('name, size, page' + name + ', ' + size + ', ' + page)
+
+ var noDotsAndOthers = name.replace(/[,;\-\_\']/g, ' ')
+ noDotsAndOthers = noDotsAndOthers.replace(/(\.\s)/g, ' ')
+ noDotsAndOthers = noDotsAndOthers.replace(/[\u007C\u2014\u2013\(\)]/g, '')
+ noDotsAndOthers = noDotsAndOthers.replace(/ +/g, ' ')
+ const lowerBlankName = noDotsAndOthers.toLowerCase()
+ const query = {
+ query: {
+ bool: {
+ must: {
+ query_string: {
+ fields: [ 'oea_authors' ],
+ query: '"' + lowerBlankName + '"'
+ }
+ }
+ }
+ },
+ from,
+ size
+ }
+ // show requested query in console
+ console.log(JSON.stringify(query, null, 4))
+ const resp = await axios.post('', query)
+ res.send({ data: resp.data })
+ } catch (err) {
+ console.log(err)
+ res.send(err)
+ }
+}
+exports.testGet = async (req, res) => {
+ try {
+ const ok = 'Okay'
+ console.log(req.params)
+ res.send({ data: ok })
+ } catch (err) {
+ console.log(err)
+ res.send(err)
+ }
+}
+exports.testPost = async (req, res) => {
+ try {
+ const ok = 'Okay'
+ console.log(req.body)
+ res.send({ data: ok })
+ } catch (err) {
+ console.log(err)
+ res.send(err)
+ }
+}
diff --git a/oeaplatform/frontend/server/docker-entrypoint.sh b/oeaplatform/frontend/server/docker-entrypoint.sh
new file mode 100644
index 0000000000000000000000000000000000000000..1b3116e53ba37baa7dc4c9655a9095caccc70ec2
--- /dev/null
+++ b/oeaplatform/frontend/server/docker-entrypoint.sh
@@ -0,0 +1,11 @@
+#!/bin/sh
+set -e
+
+# Run command with node if the first argument contains a "-" or is not a system command. The last
+# part inside the "{}" is a workaround for the following bug in ash/dash:
+# https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=874264
+if [ "${1#-}" != "${1}" ] || [ -z "$(command -v "${1}")" ] || { [ -f "${1}" ] && ! [ -x "${1}" ]; }; then
+ set -- node "$@"
+fi
+
+exec "$@"
diff --git a/oeaplatform/frontend/server/package-lock.json b/oeaplatform/frontend/server/package-lock.json
new file mode 100644
index 0000000000000000000000000000000000000000..f21c0a2efc6a95301e4cabdd2d228b6d4eee4f88
--- /dev/null
+++ b/oeaplatform/frontend/server/package-lock.json
@@ -0,0 +1,1028 @@
+{
+ "name": "open-education-austria-api",
+ "version": "1.0.2",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "open-education-austria-api",
+ "version": "1.0.2",
+ "license": "MIT",
+ "dependencies": {
+ "axios": "^1.3.2",
+ "cors": "^2.8.5",
+ "dotenv": "^16.0.3",
+ "express": "^4.18.2",
+ "nodemon": "^2.0.20"
+ },
+ "devDependencies": {}
+ },
+ "node_modules/abbrev": {
+ "version": "1.1.1",
+ "resolved": "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz",
+ "integrity": "sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q=="
+ },
+ "node_modules/accepts": {
+ "version": "1.3.8",
+ "resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz",
+ "integrity": "sha512-PYAthTa2m2VKxuvSD3DPC/Gy+U+sOA1LAuT8mkmRuvw+NACSaeXEQ+NHcVF7rONl6qcaxV3Uuemwawk+7+SJLw==",
+ "dependencies": {
+ "mime-types": "~2.1.34",
+ "negotiator": "0.6.3"
+ },
+ "engines": {
+ "node": ">= 0.6"
+ }
+ },
+ "node_modules/anymatch": {
+ "version": "3.1.3",
+ "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
+ "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==",
+ "dependencies": {
+ "normalize-path": "^3.0.0",
+ "picomatch": "^2.0.4"
+ },
+ "engines": {
+ "node": ">= 8"
+ }
+ },
+ "node_modules/array-flatten": {
+ "version": "1.1.1",
+ "resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz",
+ "integrity": "sha512-PCVAQswWemu6UdxsDFFX/+gVeYqKAod3D3UVm91jHwynguOwAvYPhx8nNlM++NqRcK6CxxpUafjmhIdKiHibqg=="
+ },
+ "node_modules/asynckit": {
+ "version": "0.4.0",
+ "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
+ "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
+ },
+ "node_modules/axios": {
+ "version": "1.3.2",
+ "resolved": "https://registry.npmjs.org/axios/-/axios-1.3.2.tgz",
+ "integrity": "sha512-1M3O703bYqYuPhbHeya5bnhpYVsDDRyQSabNja04mZtboLNSuZ4YrltestrLXfHgmzua4TpUqRiVKbiQuo2epw==",
+ "dependencies": {
+ "follow-redirects": "^1.15.0",
+ "form-data": "^4.0.0",
+ "proxy-from-env": "^1.1.0"
+ }
+ },
+ "node_modules/balanced-match": {
+ "version": "1.0.2",
+ "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
+ "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="
+ },
+ "node_modules/binary-extensions": {
+ "version": "2.2.0",
+ "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.2.0.tgz",
+ "integrity": "sha512-jDctJ/IVQbZoJykoeHbhXpOlNBqGNcwXJKJog42E5HDPUwQTSdjCHdihjj0DlnheQ7blbT6dHOafNAiS8ooQKA==",
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/body-parser": {
+ "version": "1.20.1",
+ "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.1.tgz",
+ "integrity": "sha512-jWi7abTbYwajOytWCQc37VulmWiRae5RyTpaCyDcS5/lMdtwSz5lOpDE67srw/HYe35f1z3fDQw+3txg7gNtWw==",
+ "dependencies": {
+ "bytes": "3.1.2",
+ "content-type": "~1.0.4",
+ "debug": "2.6.9",
+ "depd": "2.0.0",
+ "destroy": "1.2.0",
+ "http-errors": "2.0.0",
+ "iconv-lite": "0.4.24",
+ "on-finished": "2.4.1",
+ "qs": "6.11.0",
+ "raw-body": "2.5.1",
+ "type-is": "~1.6.18",
+ "unpipe": "1.0.0"
+ },
+ "engines": {
+ "node": ">= 0.8",
+ "npm": "1.2.8000 || >= 1.4.16"
+ }
+ },
+ "node_modules/brace-expansion": {
+ "version": "1.1.11",
+ "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
+ "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
+ "dependencies": {
+ "balanced-match": "^1.0.0",
+ "concat-map": "0.0.1"
+ }
+ },
+ "node_modules/braces": {
+ "version": "3.0.2",
+ "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz",
+ "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==",
+ "dependencies": {
+ "fill-range": "^7.0.1"
+ },
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/bytes": {
+ "version": "3.1.2",
+ "resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz",
+ "integrity": "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg==",
+ "engines": {
+ "node": ">= 0.8"
+ }
+ },
+ "node_modules/call-bind": {
+ "version": "1.0.2",
+ "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.2.tgz",
+ "integrity": "sha512-7O+FbCihrB5WGbFYesctwmTKae6rOiIzmz1icreWJ+0aA7LJfuqhEso2T9ncpcFtzMQtzXf2QGGueWJGTYsqrA==",
+ "dependencies": {
+ "function-bind": "^1.1.1",
+ "get-intrinsic": "^1.0.2"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/ljharb"
+ }
+ },
+ "node_modules/chokidar": {
+ "version": "3.5.3",
+ "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.5.3.tgz",
+ "integrity": "sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw==",
+ "funding": [
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+ "type": "individual",
+ "url": "https://paulmillr.com/funding/"
+ }
+ ],
+ "dependencies": {
+ "anymatch": "~3.1.2",
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+ },
+ "engines": {
+ "node": ">= 8.10.0"
+ },
+ "optionalDependencies": {
+ "fsevents": "~2.3.2"
+ }
+ },
+ "node_modules/combined-stream": {
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+ "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
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diff --git a/oeaplatform/frontend/server/package.json b/oeaplatform/frontend/server/package.json
new file mode 100644
index 0000000000000000000000000000000000000000..5987997ce12b46bf5c0266dad76199058f7c2109
--- /dev/null
+++ b/oeaplatform/frontend/server/package.json
@@ -0,0 +1,20 @@
+{
+ "name": "open-education-austria-backend",
+ "version": "1.1.0",
+ "description": "api for search requests",
+ "main": "index.js",
+ "scripts": {
+ "dev": "nodemon server.js",
+ "start": "node server.js",
+ "test": "echo \"Error: no test specified\" && exit 1"
+ },
+ "author": "UniVie",
+ "license": "MIT",
+ "dependencies": {
+ "axios": "^1.3.2",
+ "cors": "^2.8.5",
+ "dotenv": "^16.0.3",
+ "express": "^4.18.2",
+ "nodemon": "^2.0.20"
+ }
+}
diff --git a/oeaplatform/frontend/server/routes/searchRoute.js b/oeaplatform/frontend/server/routes/searchRoute.js
new file mode 100644
index 0000000000000000000000000000000000000000..d7febc7b40207744b3b1120583e8a7fc3ee88605
--- /dev/null
+++ b/oeaplatform/frontend/server/routes/searchRoute.js
@@ -0,0 +1,13 @@
+const express = require('express')
+const router = express.Router()
+const { defaultSearch, findArticleById, findArticlesByAuthor, getFavorites, testGet, testPost } = require('../controllers/searchController')
+
+router.route('/').post(defaultSearch)
+router.route('/:id').get(findArticleById)
+router.route('/favorites').post(getFavorites)
+router.route('/author/:name/:size?/:page?').get(findArticlesByAuthor)
+router.route('/testget/:name?/:size?/:page?').get(testGet)
+router.route('/testpost').post(testPost)
+//router.route('/author/:name').get(findArticlesByAuthor)
+
+module.exports = router
diff --git a/oeaplatform/frontend/server/server.js b/oeaplatform/frontend/server/server.js
new file mode 100644
index 0000000000000000000000000000000000000000..02798ca8e9454984c15b43d38f303723d2c38799
--- /dev/null
+++ b/oeaplatform/frontend/server/server.js
@@ -0,0 +1,7 @@
+// Relative imports
+const app = require('./app')
+const https = require('https')
+const fs = require('fs')
+const port = process.env.PORT || 3000
+
+app.listen(port, () => console.log(`Server is running on ${port}`))
diff --git a/oeaplatform/frontend/server/tags b/oeaplatform/frontend/server/tags
new file mode 100644
index 0000000000000000000000000000000000000000..4b14223677fe5cef6946a81feb3c57f791772378
--- /dev/null
+++ b/oeaplatform/frontend/server/tags
@@ -0,0 +1,1125 @@
+!_TAG_FILE_FORMAT 2 /extended format; --format=1 will not append ;" to lines/
+!_TAG_FILE_SORTED 1 /0=unsorted, 1=sorted, 2=foldcase/
+!_TAG_OUTPUT_EXCMD mixed /number, pattern, mixed, or combineV2/
+!_TAG_OUTPUT_FILESEP slash /slash or backslash/
+!_TAG_OUTPUT_MODE u-ctags /u-ctags or e-ctags/
+!_TAG_PATTERN_LENGTH_LIMIT 96 /0 for no limit/
+!_TAG_PROC_CWD /home/oftl/src/oea-devel/search/server/ //
+!_TAG_PROGRAM_AUTHOR Universal Ctags Team //
+!_TAG_PROGRAM_NAME Universal Ctags /Derived from Exuberant Ctags/
+!_TAG_PROGRAM_URL https://ctags.io/ /official site/
+!_TAG_PROGRAM_VERSION 5.9.0 /p5.9.20210110.0/
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+version package-lock.json /^ "version": "2.1.1",$/;" s object:dependencies.escape-goat
+version package-lock.json /^ "version": "2.1.1",$/;" s object:dependencies.is-extglob
+version package-lock.json /^ "version": "2.1.1",$/;" s object:dependencies.pupa
+version package-lock.json /^ "version": "2.1.2",$/;" s object:dependencies.safer-buffer
+version package-lock.json /^ "version": "2.1.27",$/;" s object:dependencies.mime-types
+version package-lock.json /^ "version": "2.1.3",$/;" s object:dependencies.fsevents
+version package-lock.json /^ "version": "2.2.1",$/;" s object:dependencies.cli-boxes
+version package-lock.json /^ "version": "2.2.1",$/;" s object:dependencies.term-size
+version package-lock.json /^ "version": "2.2.2",$/;" s object:dependencies.picomatch
+version package-lock.json /^ "version": "2.3.0",$/;" s object:dependencies.on-finished
+version package-lock.json /^ "version": "2.4.0",$/;" s object:dependencies.raw-body
+version package-lock.json /^ "version": "2.6.9",$/;" s object:dependencies.debug
+version package-lock.json /^ "version": "2.8.5",$/;" s object:dependencies.cors
+version package-lock.json /^ "version": "3.0.0",$/;" s object:dependencies.ansi-align
+version package-lock.json /^ "version": "3.0.0",$/;" s object:dependencies.chalk
+version package-lock.json /^ "version": "3.0.0",$/;" s object:dependencies.has-flag
+version package-lock.json /^ "version": "3.0.0",$/;" s object:dependencies.json-buffer
+version package-lock.json /^ "version": "3.0.0",$/;" s object:dependencies.normalize-path
+version package-lock.json /^ "version": "3.0.0",$/;" s object:dependencies.pump
+version package-lock.json /^ "version": "3.0.0",$/;" s object:dependencies.url-parse-lax
+version package-lock.json /^ "version": "3.0.2",$/;" s object:dependencies.braces
+version package-lock.json /^ "version": "3.0.2",$/;" s object:dependencies.is-path-inside
+version package-lock.json /^ "version": "3.0.3",$/;" s object:dependencies.signal-exit
+version package-lock.json /^ "version": "3.0.3",$/;" s object:dependencies.write-file-atomic
+version package-lock.json /^ "version": "3.0.4",$/;" s object:dependencies.minimatch
+version package-lock.json /^ "version": "3.1.0",$/;" s object:dependencies.bytes
+version package-lock.json /^ "version": "3.1.0",$/;" s object:dependencies.keyv
+version package-lock.json /^ "version": "3.1.0",$/;" s object:dependencies.make-dir
+version package-lock.json /^ "version": "3.1.0",$/;" s object:dependencies.touch
+version package-lock.json /^ "version": "3.1.0",$/;" s object:dependencies.widest-line
+version package-lock.json /^ "version": "3.1.1",$/;" s object:dependencies.anymatch
+version package-lock.json /^ "version": "3.1.1",$/;" s object:dependencies.semver-diff
+version package-lock.json /^ "version": "3.1.5",$/;" s object:dependencies.typedarray-to-buffer
+version package-lock.json /^ "version": "3.3.0",$/;" s object:dependencies.decompress-response
+version package-lock.json /^ "version": "3.4.3",$/;" s object:dependencies.chokidar
+version package-lock.json /^ "version": "3.5.0",$/;" s object:dependencies.readdirp
+version package-lock.json /^ "version": "4.0.0",$/;" s object:dependencies.is-npm
+version package-lock.json /^ "version": "4.0.0",$/;" s object:dependencies.xdg-basedir
+version package-lock.json /^ "version": "4.0.1",$/;" s object:dependencies.is-glob
+version package-lock.json /^ "version": "4.1.0",$/;" s object:dependencies.ansi-regex
+version package-lock.json /^ "version": "4.1.0",$/;" s object:dependencies.get-stream
+version package-lock.json /^ "version": "4.1.0",$/;" s object:dependencies.http-cache-semantics
+version package-lock.json /^ "version": "4.1.1",$/;" s object:dependencies.object-assign
+version package-lock.json /^ "version": "4.1.3",$/;" s object:dependencies.update-notifier
+version package-lock.json /^ "version": "4.17.1",$/;" s object:dependencies.express
+version package-lock.json /^ "version": "4.2.0",$/;" s object:dependencies.boxen
+version package-lock.json /^ "version": "4.2.0",$/;" s object:dependencies.string-width
+version package-lock.json /^ "version": "4.2.1",$/;" s object:dependencies.registry-auth-token
+version package-lock.json /^ "version": "4.2.4",$/;" s object:dependencies.graceful-fs
+version package-lock.json /^ "version": "4.3.0",$/;" s object:dependencies.ansi-styles
+version package-lock.json /^ "version": "4.5.0",$/;" s object:dependencies.normalize-url
+version package-lock.json /^ "version": "5.0.1",$/;" s object:dependencies.configstore
+version package-lock.json /^ "version": "5.0.1",$/;" s object:dependencies.to-regex-range
+version package-lock.json /^ "version": "5.1.0",$/;" s object:dependencies.latest-version
+version package-lock.json /^ "version": "5.1.0",$/;" s object:dependencies.registry-url
+version package-lock.json /^ "version": "5.1.1",$/;" s object:dependencies.glob-parent
+version package-lock.json /^ "version": "5.1.2",$/;" s object:dependencies.safe-buffer
+version package-lock.json /^ "version": "5.2.0",$/;" s object:dependencies.strip-ansi
+version package-lock.json /^ "version": "5.3.0",$/;" s object:dependencies.dot-prop
+version package-lock.json /^ "version": "5.3.1",$/;" s object:dependencies.camelcase
+version package-lock.json /^ "version": "5.5.0",$/;" s object:dependencies.supports-color
+version package-lock.json /^ "version": "5.7.1",$/;" s object:dependencies.semver
+version package-lock.json /^ "version": "6.1.0",$/;" s object:dependencies.cacheable-request
+version package-lock.json /^ "version": "6.5.0",$/;" s object:dependencies.package-json
+version package-lock.json /^ "version": "6.7.0",$/;" s object:dependencies.qs
+version package-lock.json /^ "version": "7.0.0",$/;" s object:dependencies.is-number
+version package-lock.json /^ "version": "7.0.1",$/;" s object:dependencies.fill-range
+version package-lock.json /^ "version": "7.0.3",$/;" s object:dependencies.emoji-regex
+version package-lock.json /^ "version": "8.2.0",$/;" s object:dependencies.dotenv
+version package-lock.json /^ "version": "9.6.0",$/;" s object:dependencies.got
+version package-lock.json /^ "version": "1.0.0",$/;" s
+version package.json /^ "version": "1.0.0",$/;" s
+widest-line package-lock.json /^ "widest-line": "^3.1.0"$/;" s object:dependencies.boxen.requires
+widest-line package-lock.json /^ "widest-line": {$/;" o object:dependencies
+wildcard controllers/searchController.js /^ must_not: { wildcard: { _index: '.kibana*' } },$/;" c class:queryBuilder.bool.must_not
+wrappy package-lock.json /^ "wrappy": "1"$/;" s object:dependencies.once.requires
+wrappy package-lock.json /^ "wrappy": {$/;" o object:dependencies
+write-file-atomic package-lock.json /^ "write-file-atomic": "^3.0.0",$/;" s object:dependencies.configstore.requires
+write-file-atomic package-lock.json /^ "write-file-atomic": {$/;" o object:dependencies
+xdg-basedir package-lock.json /^ "xdg-basedir": "^4.0.0"$/;" s object:dependencies.configstore.requires
+xdg-basedir package-lock.json /^ "xdg-basedir": "^4.0.0"$/;" s object:dependencies.update-notifier.requires
+xdg-basedir package-lock.json /^ "xdg-basedir": {$/;" o object:dependencies
diff --git a/oeaplatform/metaharvest/Dockerfile b/oeaplatform/metaharvest/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..89109da97e990423a07fba6b1ffdd68a8e797250
--- /dev/null
+++ b/oeaplatform/metaharvest/Dockerfile
@@ -0,0 +1,156 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION=1.0.0 \
+ APP_PERL_VERSION=5.40.1
+# Remark DOCKER_REG has to end with / if specified
+
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS osbase
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && apt-get -y install tzdata
+
+FROM osbase AS perlbuilder
+ARG APP_PERL_VERSION
+## install
+# necessities: curl, build-essential, perl (perl is part of jammy)
+RUN apt-get update && apt-get -y install curl build-essential libexpat1 unminimize
+RUN yes | unminimize
+# user
+RUN groupadd -r -g 9000 perl && useradd -r -u 9000 -g 9000 --create-home perl
+WORKDIR /home/perl
+USER perl
+# perlbrew
+RUN curl -L https://install.perlbrew.pl | bash
+ENV PATH=/home/perl/perl5/perlbrew/bin:$PATH
+ENV PERLBREW_PATH=/home/perl/perl5/perlbrew/bin
+ENV PERLBREW_ROOT=/home/perl/perl5/perlbrew
+ENV PERLBREW_HOME=/home/perl/.perlbrew
+ENV PERL_MM_USE_DEFAULT=1
+# perl
+ENV PERLBREW_PERL=perl-${APP_PERL_VERSION}
+RUN perlbrew init
+RUN perlbrew --noman install -j 2 $PERLBREW_PERL
+ENV PATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/bin:$PATH
+ENV PERLBREW_MANPATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/man
+ENV PERLBREW_SKIP_INIT=1
+
+## remove
+USER root
+RUN apt-get remove --purge -y build-essential curl \
+ && rm -rfv /var/lib/apt/lists/* \
+ && rm -rfv /home/perl/perl5/perlbrew/build/* \
+ && rm -rfv /home/perl/perl5/perlbrew/dists/*
+
+FROM osbase AS perl
+ARG APP_PERL_VERSION
+## install
+# necessities: curl build-essential (for perlbrew)
+RUN apt-get update && apt-get -y install curl build-essential libexpat1
+# user
+RUN groupadd -r -g 9000 perl && useradd -r -u 9000 -g 9000 --create-home perl
+WORKDIR /home/perl
+USER perl
+# perlbrew
+RUN curl -L https://install.perlbrew.pl | bash
+ENV PATH=/home/perl/perl5/perlbrew/bin:$PATH
+ENV PERLBREW_PATH=/home/perl/perl5/perlbrew/bin
+ENV PERLBREW_ROOT=/home/perl/perl5/perlbrew
+ENV PERLBREW_HOME=/home/perl/.perlbrew
+ENV PERL_MM_USE_DEFAULT=1
+# perl
+ENV PERLBREW_PERL=perl-${APP_PERL_VERSION}
+COPY --from=perlbuilder /home/perl/perl5/perlbrew/perls /home/perl/perl5/perlbrew/perls
+ENV PATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/bin:$PATH
+ENV PERLBREW_MANPATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/man
+ENV PERLBREW_SKIP_INIT=1
+
+## config
+# perl
+USER root
+RUN chown -R perl:perl /home/perl/perl5/perlbrew/perls
+
+## remove
+RUN apt-get remove --purge -y curl \
+ && rm -rfv /var/lib/apt/lists/*
+
+FROM perl AS metaharvestbuilder
+ARG APP_PERL_VERSION
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+
+## install
+# necessities: curl, build-essential, enable cpanm LWP::Protocol::https
+RUN apt-get update && apt-get -y install curl build-essential libssl-dev zlib1g-dev librabbitmq-dev libexpat1-dev unminimize
+RUN yes | unminimize
+# cpanm
+USER perl
+RUN perlbrew install-cpanm
+# CPAN
+RUN cpanm JSON::XS
+RUN cpanm LWP::Protocol::https
+RUN cpanm LWP::Simple
+RUN cpanm List::MoreUtils
+# RabbitMQ tests are running against unavailable Systems
+RUN cpanm --notest Net::AMQP::RabbitMQ
+RUN cpanm Path::Iterator::Rule
+RUN cpanm YAML::Syck
+
+# additional Modules for Harvester with OAI-MPH Interface
+RUN cpanm XML::SAX::ExpatXS
+RUN cpanm Data::Structure::Util
+
+# hopeful you have done the build steps first for own cpan module of the OAI
+# COPY ./OAIPMH-Harvester-0.02.tar.gz /home/perl/OAIPMH-Harvester-0.02.tar.gz
+
+# RUN cpanm --notest /home/perl/OAIPMH-Harvester-0.02.tar.gz
+# or use the version on our gitlab
+RUN cpanm --notest https://gitlab.phaidra.org/oai/oai-pmh_cpan/-/raw/main/OAIPMH-Harvester-0.02.tar.gz
+
+## remove
+USER root
+RUN apt-get remove --purge -y libexpat1-dev librabbitmq-dev zlib1g-dev libssl-dev build-essential curl \
+ && rm -rfv /var/lib/apt/lists/*
+
+FROM perl AS metaharvest
+ARG OS_RELEASE \
+ APP_VERSION \
+ OC_CREATED
+LABEL org.opencontainers.image.title=metaharvest \
+ org.opencontainers.image.vendor=UniVie \
+ org.opencontainers.image.authors=pt \
+ org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE} \
+ org.opencontainers.image.created=${OC_CREATED}
+
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+
+## install
+# perl
+COPY --from=metaharvestbuilder /home/perl/perl5/perlbrew/perls /home/perl/perl5/perlbrew/perls
+
+## config
+# perl
+RUN chown -R perl:perl /home/perl/perl5/perlbrew/perls
+
+## app
+# metaharvest
+USER perl
+COPY perl /home/perl/metaharvest
+ENV PATH=/home/perl/metaharvest:$PATH
+
+USER root
+RUN chown -R perl:perl /home/perl/metaharvest
+RUN chmod -R 775 /home/perl/metaharvest
+
+USER perl
+## host storage
+VOLUME /home/perl/metaharvest/log
+VOLUME /home/perl/metaharvest/tmp
+
+## run
+CMD ["daemon.pl"]
diff --git a/oeaplatform/metaharvest/perl/.gitignore b/oeaplatform/metaharvest/perl/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..b13825510e07e262f1f3b6c43d1eeb4f7aa75f5e
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/.gitignore
@@ -0,0 +1,9 @@
+# visuial studio
+.vscode
+
+# kompressed files
+*.gz
+
+# backup and old files
+*.backup
+*.old
diff --git a/oeaplatform/metaharvest/perl/daemon.pl b/oeaplatform/metaharvest/perl/daemon.pl
new file mode 100755
index 0000000000000000000000000000000000000000..5632be844ed2c8eea6d38cbd0c1aebec2245e820
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/daemon.pl
@@ -0,0 +1,164 @@
+#!/usr/bin/env perl
+
+# cycles and starts jobs
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use YAML::Syck;
+use FindBin;
+use lib "$FindBin::Bin/lib";
+use App::Locker;
+use App::Logger;
+use App;
+use Time::HiRes qw/sleep/;
+
+# config
+my $daemon = YAML::Syck::LoadFile("$FindBin::Bin/etc/daemon/config.yml");
+
+# settings
+$Data::Dumper::Indent = 0;
+
+# logger
+my $logger = App::Logger->new(
+ file => $FindBin::Bin.'/'.$daemon->{ctrl}->{log}->{path}.'/'.$daemon->{ctrl}->{log}->{filename},
+ debug => defined $daemon->{ctrl}->{debug} ? $daemon->{ctrl}->{debug} : 1,
+ verbosity => defined $daemon->{ctrl}->{verbosity} ? $daemon->{ctrl}->{verbosity} : 2,
+);
+
+$logger->info('start');
+
+# control
+$main::term = 0;
+my $sig_term = sub { $main::term = 1; };
+local $SIG{INT} = $sig_term;
+local $SIG{TERM} = $sig_term;
+
+eval {
+
+ # settings
+ my $sleep = $daemon->{ctrl}->{sleep} || 10;
+ my $dryrun = defined $daemon->{ctrl}->{dryrun} ? $daemon->{ctrl}->{dryrun} : 0;
+
+ $logger->debug("daemon ctrl sleep |$sleep|");
+ $logger->debug("daemon ctrl dryrun |$dryrun|");
+
+ my $job_cnt;
+
+ LOOP:
+ while ( !$main::term ) {
+
+ $logger->info('alive and looping', 2);
+
+ # config
+ my $payload = YAML::Syck::LoadFile("$FindBin::Bin/etc/jobs/payload.yml");
+
+ my @jobs = sort keys %{$payload->{jobs}};
+ $logger->debug('jobs ' . Dumper( \@jobs ) );
+
+ # maybe init /job_cnt/
+ unless ( defined $job_cnt ) {
+ $logger->info('init job_cnt');
+ $job_cnt = int(rand( scalar @jobs ));
+ $logger->debug("job_cnt |$job_cnt|");
+ }
+
+ # set /job_cnt/
+ $job_cnt++;
+ $job_cnt = 0 if $job_cnt > $#jobs;
+ $logger->debug("job_cnt |$job_cnt|");
+
+ # get /job_id/
+ my $job_id = $jobs[ $job_cnt ];
+ $logger->info("job_id |$job_id|", 1);
+
+ # workout job
+ my $nolockmsg = "nolock\n";
+ eval {
+
+ $logger->info("attempt to get lock on job_id |$job_id|", 1);
+ my $fh_lock = get_lock(
+ $FindBin::Bin.'/'.$daemon->{jobs}->{lock}->{path}.'/'.$job_id.$daemon->{jobs}->{lock}->{ext},
+ $nolockmsg,
+ );
+ $logger->info('lock obtained', 1);
+
+ $logger->info("got lock on job_id |$job_id|");
+ $logger->info('start processing', 1);
+
+ # job config
+ my $job = $payload->{jobs}->{ $job_id };
+ $logger->debug('job ' . Dumper( $job ) );
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 2;
+
+ # new App for job
+ $logger->info('app App->new', 2);
+ my $app = App->new(
+ job => $job,
+ );
+
+ # run job
+ unless ( $dryrun ) {
+ $logger->info('app start', 1);
+ my $ret = $app->run();
+ if ( $ret ) {
+ $logger->info('app error', 1);
+ }
+ else {
+ $logger->info('app done', 1);
+ }
+ }
+ }
+
+ $logger->info('done processing', 1);
+ $logger->info("attempt to release lock from job_id |$job_id|", 1);
+ release_lock( $fh_lock );
+ $logger->info("lock released from job_id |$job_id|", 1);
+
+ };
+ # no lock
+ if ( $@ eq $nolockmsg ) {
+ $logger->info("no lock on job_id |$job_id|", 1);
+ }
+ # error
+ elsif ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("workout on job_id |$job_id| died |$syntax_error_message|");
+ die $syntax_error_message;
+ }
+
+ # no SIG via main::term received
+ if ( !$main::term ) {
+ $logger->info("sleep |$sleep|", 1);
+ sleep $sleep;
+ $logger->info('awake', 2);
+ $logger->info('about to loop', 2);
+ }
+ # SIG via main::term received
+ else {
+ $logger->warning('SIG via main::term received', 2);
+ }
+
+ } # while ( !$main::term )
+
+}; # eval
+if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("daemon died |$syntax_error_message|");
+ die $syntax_error_message;
+}
+else {
+ $logger->info('daemon gracefully stopped');
+}
+
+$logger->info('stop');
+
+exit(0);
+
diff --git a/oeaplatform/metaharvest/perl/etc/daemon/config.yml b/oeaplatform/metaharvest/perl/etc/daemon/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..10be522c9bfed5acf63e2874e45c9587e487b74d
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/etc/daemon/config.yml
@@ -0,0 +1,23 @@
+#
+# YAML Config
+# regarding daemon
+#
+
+#
+# CTRL
+ctrl:
+ sleep: 3 # seconds between loops; default 10
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ dryrun: 0 # <0|1>; default 0
+ log:
+ path: 'log'
+ filename: 'daemon.log'
+
+#
+# Jobs
+jobs:
+ lock:
+ path: 'tmp'
+ ext: '.lock'
+
diff --git a/oeaplatform/metaharvest/perl/etc/jobs/payload.yml b/oeaplatform/metaharvest/perl/etc/jobs/payload.yml
new file mode 100644
index 0000000000000000000000000000000000000000..66544f9a46d6abfbc5902d38873d2796f9cf959e
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/etc/jobs/payload.yml
@@ -0,0 +1,240 @@
+#
+# YAML Config
+# regarding payload
+#
+
+#
+# Jobs
+jobs:
+ oer-repo.uibk.ac.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 2 # <0|1|2>; default 2
+ debug: 1 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-repo.uibk.ac.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'oer-repo.uibk.ac.at'
+ uri:
+ scheme: 'https'
+ authority : '//oer-repo.uibk.ac.at'
+ path: '/edu-sharing/eduservlet/oai/provider'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'default'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+ oer-portal.uni-graz.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 2 # <0|1|2>; default 2
+ debug: 1 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-portal.uni-graz.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'oer-portal.uni-graz.at'
+ uri:
+ scheme: 'https'
+ authority : '//oer-portal.uni-graz.at'
+ path: '/edu-sharing/eduservlet/oai/provider'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'default'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+ oer.fh-salzburg.ac.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 2 # <0|1|2>; default 2
+ debug: 1 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer.fh-salzburg.ac.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'oer.fh-salzburg.ac.at'
+ uri:
+ scheme: 'https'
+ authority : '//oer.fh-salzburg.ac.at'
+ path: '/edu-sharing/eduservlet/oai/provider'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'default'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+ repository.tugraz.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 2 # <0|1|2>; default 2
+ debug: 1 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'repository.tugraz.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'repository.tugraz.at'
+ uri:
+ scheme: 'https'
+ authority : '//repository.tugraz.at'
+ path: '/oai2d'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'noSetHierarchy'
+ handler: 'OAI_LOM_invenio'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+ gecko.aau.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 2 # <0|1|2>; default 2
+ debug: 1 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'gecko.aau.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'gecko.aau.at'
+ uri:
+ scheme: 'https'
+ authority : '//gecko.aau.at'
+ path: '/api/learning-object/oai-pmh/v1/oai2'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'default'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+ door.donau-uni.ac.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'door.donau-uni.ac.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'door.donau-uni.ac.at'
+ uri:
+ scheme: 'https'
+ authority : '//door.donau-uni.ac.at'
+ path: '/api/oai'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'oer'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+ phaidra.univie.ac.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'phaidra.univie.ac.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'phaidra.univie.ac.at'
+ uri:
+ scheme: 'https'
+ authority : '//services.phaidra.univie.ac.at'
+ path: '/api/oai'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'oer'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
+ phaidra.fh-kaernten.at:
+ type: 'OAIHarvest_LOM'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'phaidra.fh-kaernten.at.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'producer'
+ pass: '/run/secrets/mq_producer_pass'
+ vhost: '/'
+ routing_key: 'phaidra.fh-kaernten.at'
+ uri:
+ scheme: 'https'
+ authority : '//phaidra.fh-kaernten.at'
+ path: '/api/oai'
+ parameters:
+ prefix: 'lom'
+ from: ''
+ until: ''
+ set: 'oer'
+ handler: 'OAI_LOM_edusharing'
+ sleep:
+ token: 0.001
+ post: 321
+ pre: 1
diff --git a/oeaplatform/metaharvest/perl/etc/jobs/sanity.yml b/oeaplatform/metaharvest/perl/etc/jobs/sanity.yml
new file mode 100644
index 0000000000000000000000000000000000000000..54d40d8c1d5bd529da2489e5047c182486ce1e1a
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/etc/jobs/sanity.yml
@@ -0,0 +1,27 @@
+#
+# YAML Config
+# regarding sanity
+#
+
+#
+# Jobs config sanity checks
+cfgs:
+ OAIHarvest_DC:
+ mq:
+ routing_key: '^[a-z0-9.-]+$' # lower case alphanumeric, '.', '-'
+ sleep:
+ token: '^[0-9]+\.[0-9]+$' # real seconds to sleep between batches
+ post: '^[0-9]+$' # seconds to sleep after last item
+ pre: '^[0-9]+$' # seconds to sleep before first item
+ OAIHarvest_LOM:
+ mq:
+ routing_key: '^[a-z0-9.-]+$' # lower case alphanumeric, '.', '-'
+ sleep:
+ token: '^[0-9]+\.[0-9]+$' # real seconds to sleep between batches
+ post: '^[0-9]+$' # seconds to sleep after last item
+ pre: '^[0-9]+$' # seconds to sleep before first item
+ dummy:
+ sleep:
+ post: '^[0-9]+$' # seconds to sleep after last item
+ pre: '^[0-9]+$' # seconds to sleep before first item
+
diff --git a/oeaplatform/metaharvest/perl/lib/App.pm b/oeaplatform/metaharvest/perl/lib/App.pm
new file mode 100644
index 0000000000000000000000000000000000000000..4be76c3eeea2252adfce8e9de24985ada9c7813d
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/App.pm
@@ -0,0 +1,159 @@
+package App;
+
+# workout job
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use YAML::Syck;
+use FindBin;
+use lib "$FindBin::Bin";
+use App::Logger;
+use App::Type::File_JSON;
+use App::Type::HTTP_GET_JSON;
+use App::Type::OAIHarvest_DC;
+use App::Type::OAIHarvest_LOM;
+use App::Type::dummy;
+use List::MoreUtils qw/none/;
+use Time::HiRes qw/sleep/;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_job} = $args{job} or croak "no job given";
+
+ bless($self, $class);
+
+ $self->_init();
+ $self->_sanity();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_job}->{cfg}->{log}->{path}.'/'.$self->{_job}->{cfg}->{log}->{filename},
+ debug => defined $self->{_job}->{cfg}->{debug} ? $self->{_job}->{cfg}->{debug} : 1,
+ verbosity => defined $self->{_job}->{cfg}->{verbosity} ? $self->{_job}->{cfg}->{verbosity} : 2,
+ );
+
+ return;
+}
+
+sub _sanity {
+ my ($self) = @_;
+ croak "_sanity is private" if caller() ne __PACKAGE__;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ # config
+ my $sanity = YAML::Syck::LoadFile("$FindBin::Bin/etc/jobs/sanity.yml");
+
+ $logger->info('sanity check start', 2);
+ $logger->debug('_job ' . Dumper( $self->{_job} ) );
+
+ croak "sanity check died, unknown job type |$self->{_job}->{type}|"
+ if none { $_ eq $self->{_job}->{type} } ( keys %{$sanity->{cfgs}} );
+
+ # sanity check job cfg
+ _sanity_check( $sanity->{cfgs}->{ $self->{_job}->{type} }, $self->{_job}->{cfg} );
+
+ $logger->info('sanity check done', 2);
+
+ return;
+}
+
+# return: SCALAR; 0:no error, 1:error
+sub run {
+ my ($self) = @_;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('App start');
+
+ # to monitor failure of eval block
+ # this method shall not die/croak
+ my $error;
+
+ eval {
+
+ $logger->info("sleep pre |$self->{_job}->{cfg}->{sleep}->{pre}|", 1);
+ sleep $self->{_job}->{cfg}->{sleep}->{pre};
+
+ my $type = $self->{_job}->{type};
+ my $class = 'App::Type::'.$type;
+
+ # new App::Type::/type/
+ $logger->info('work App::Type::'.$type.'->new', 2);
+ my $work = $class->new(
+ cfg => $self->{_job}->{cfg},
+ );
+
+ $logger->info('work start', 1);
+ $work->run();
+ $logger->info('work done', 1);
+
+ # no SIG via main::term received
+ if ( !$main::term ) {
+ $logger->info("sleep post |$self->{_job}->{cfg}->{sleep}->{post}|", 1);
+ sleep $self->{_job}->{cfg}->{sleep}->{post};
+ }
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $error++;
+ $logger->error("App died |$syntax_error_message|");
+ }
+
+ $logger->info('App done');
+
+ return $error ? 1 : 0;
+}
+
+sub _sanity_check {
+ my ($match, $value, $store) = @_;
+
+ # traversal, recursion
+ if ( ref( $match ) eq 'HASH' ) {
+
+ # traverse level
+ for my $key ( keys %{$match} ) {
+ # remember level
+ push @$store, $key;
+ # recurse deeper
+ _sanity_check( $match->{ $key }, $value->{ $key }, $store );
+ # forget level
+ pop @$store;
+ }
+
+ }
+ # check
+ else {
+ my $id = join('/', @$store);
+ my $re = qr{$match};
+ croak "sanity check died, missing job cfg |$id|"
+ unless defined $value;
+ croak "sanity check died, invalid job cfg |$id|, value |$value| should match |$match|"
+ unless $value =~ m{$re};
+ }
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaharvest/perl/lib/App/Locker.pm b/oeaplatform/metaharvest/perl/lib/App/Locker.pm
new file mode 100644
index 0000000000000000000000000000000000000000..1d733b6669b2bf359fa041258c50ac175cf1d29a
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/App/Locker.pm
@@ -0,0 +1,50 @@
+package App::Locker;
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use Fcntl qw/:flock/;
+use File::Basename;
+
+our @ISA = qw(
+ Exporter
+);
+
+our @EXPORT = qw(
+ &get_lock
+ &release_lock
+);
+
+sub get_lock {
+ my ($lockfile, $nolockmsg) = @_;
+
+ # sanity
+ croak "no lockfile given" unless $lockfile;
+ croak "no nolockmsg given" unless $nolockmsg;
+ croak "no newline at end of nolockmsg" unless $nolockmsg =~ m{\n$};
+
+ open my $fh, '>', $lockfile or croak "no open at |$lockfile|, |$!|";
+ # has to die to prevent backtrace that would be included in croak
+ flock( $fh, LOCK_EX|LOCK_NB ) or die $nolockmsg;
+
+ return \*$fh;
+}
+
+sub release_lock {
+ my ($fh) = @_;
+
+ # sanity
+ croak "no fh given" unless $fh;
+
+ flock( $fh, LOCK_UN ) or croak "no flock LOCK_UN at |$fh|, |$!|";
+
+ return;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaharvest/perl/lib/App/Logger.pm b/oeaplatform/metaharvest/perl/lib/App/Logger.pm
new file mode 100644
index 0000000000000000000000000000000000000000..8843cb51610a9069db47417d017e0c63f7b94f0a
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/App/Logger.pm
@@ -0,0 +1,121 @@
+package App::Logger;
+
+# debug: write if /debug/
+# info: write
+# warning: write
+# error: write
+# fatal: write
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use Sys::Hostname;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_file} = $args{file} or croak "no file given";
+ # optional
+ $self->{_debug} = $args{debug} ? 1 : 0;
+ $self->{_verbosity} = $args{verbosity};
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # settings
+ $self->{_user} = $ENV{USER} || '<undef>';
+ $self->{_hostname} = $ENV{HOSTNAME} || hostname() || '<undef>';
+
+ # levels
+ my $levels = {
+ debug => { on_debug_only => 1 },
+ info => {},
+ warning => {},
+ error => {},
+ fatal => {},
+ };
+
+ # create subs on the fly
+ LEVEL:
+ for my $level ( keys %$levels ) {
+
+ # define sub /level/
+ my $sub = sub {
+ my ($self, $msg, $verbosity) = @_;
+ $verbosity ||= 0;
+
+ # act according to /verbosity/
+ if ( $self->{_verbosity} >= $verbosity ) {
+
+ # some /level/ should write /on_debug_only/ if /_debug/
+ if ( $levels->{ $level }->{on_debug_only} ) {
+ $self->_write($msg, $level) if $self->{_debug};
+ }
+ else {
+ $self->_write($msg, $level);
+ }
+
+ # put extra /level/ stuff here ..
+
+ }
+
+ return;
+ };
+
+ # create sub /level/
+ do {
+ no strict 'refs';
+ no warnings 'redefine';
+ *{$level} = $sub;
+ };
+
+ } # LEVEL
+
+ return;
+}
+
+sub _write {
+ my ($self, $msg, $level) = @_;
+ croak "_write is private" if caller() ne __PACKAGE__;
+
+ $msg ||= '';
+ chomp $msg;
+
+ my $scalar_localtime = scalar localtime;
+ my $pid = $$;
+
+ my $message = $scalar_localtime # timestamp
+ . ' ' # whitespace
+ . "[$self->{_hostname}]" # hostname
+ . ' ' # whitespace
+ . "[$pid] [$level]" # info
+ . ( $self->{_debug} ? ' {debug}' : '' ) # debug?
+ . ': ' # separator, whitespace
+ . $msg # msg
+ . "\n" # newline
+ ;
+
+ open my $fh, '>>', $self->{_file} or croak "no open at file |$self->{_file}|, |$!|";
+ print $fh $message or croak "no print at file |$self->{_file}|, |$!|";
+ close $fh or carp "no close at file |$self->{_file}|, |$!|";
+
+ return;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaharvest/perl/lib/App/Type/OAIHarvest_DC.pm b/oeaplatform/metaharvest/perl/lib/App/Type/OAIHarvest_DC.pm
new file mode 100644
index 0000000000000000000000000000000000000000..cf711992884dc241d1603bb5094cb1c7fc34ae76
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/App/Type/OAIHarvest_DC.pm
@@ -0,0 +1,260 @@
+package App::Type::OAIHarvest_DC;
+
+# workout job type OAIHarvest_DC
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use App::Logger;
+use JSON::XS;
+# use LWP::Simple;
+use Net::AMQP::RabbitMQ;
+use Time::HiRes qw/sleep/;
+use Net::OAIPMH::Harvester;
+use Data::Structure::Util qw/unbless/;
+
+
+sub UNIVERSAL::TO_JSON {
+ my( $self ) = shift;
+
+ use Storable qw(dclone);
+ use Data::Structure::Util qw(unbless);
+
+ my $clone = unbless( dclone( $self ) );
+
+ $clone;
+}
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_cfg} = $args{cfg} || croak "no cfg given";
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_cfg}->{log}->{path}.'/'.$self->{_cfg}->{log}->{filename},
+ debug => defined $self->{_cfg}->{debug} ? $self->{_cfg}->{debug} : 1,
+ verbosity => defined $self->{_cfg}->{verbosity} ? $self->{_cfg}->{verbosity} : 2,
+ );
+
+ return;
+}
+
+sub run {
+ my ($self) = @_;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('OAIHarvest_DC start', 1);
+
+ # this method can die/croak/confess
+
+ eval {
+
+ $logger->debug('_cfg ' . Dumper( $self->{_cfg} ) );
+
+ $logger->info('OAIHarvest_DC workout start', 1);
+
+ # OAI-PMH source
+ $logger->info('harvester Net::OAIPMH::Harvester->new', 2);
+ my $uri = $self->{_cfg}->{uri}->{scheme} . ':' . $self->{_cfg}->{uri}->{authority}
+ . $self->{_cfg}->{uri}->{path};
+ my $harvester = Net::OAIPMH::Harvester->new( baseURL => $uri );
+ # need to check how to do it here, are debuglevels allowed? or just true/valse
+ # $Net::OAI::Harvester::DEBUG = 1 if $debug;
+
+ # MessageQueue target
+ $logger->info('mq Net::AMQP::RabbitMQ->new', 2);
+ my $mq = Net::AMQP::RabbitMQ->new();
+ $logger->info('mq connect', 2);
+ $mq->connect(
+ # hostname
+ $self->{_cfg}->{mq}->{host},
+ # options
+ {
+ port => $self->{_cfg}->{mq}->{port},
+ user => $self->{_cfg}->{mq}->{user},
+ password => _slurp( $self->{_cfg}->{mq}->{pass} ),
+ vhost => $self->{_cfg}->{mq}->{vhost},
+ timeout => 5, # <42> seconds, default undef
+ },
+ );
+ $logger->info('mq channel_open', 2);
+ $mq->channel_open(1);
+
+ $logger->info('token start', 2);
+
+ my $c = 0; # count objects
+ my $mq_publish_expiration = $self->{_cfg}->{sleep}->{post} * 1000; # milliseconds
+
+ ##### collect data via oai_pmh starting here:
+
+ $logger->info("request metadataPrefix |$self->{_cfg}->{uri}->{parameters}->{prefix}|", 2);
+ my %opts = ( 'metadataPrefix' => $self->{_cfg}->{uri}->{parameters}->{prefix} );
+ # $opts{ 'from' } = $self->{_cfg}->{uri}->{parameters}->{from}; # expacts a start date not used
+ # $opts{ 'until' } = $self->{_cfg}->{uri}->{parameters}->{from}; # expacts a end date not used
+ if ( $self->{_cfg}->{uri}->{parameters}->{set} ne 'noSetHierarchy' ) {
+ $opts{ 'set' } = $self->{_cfg}->{uri}->{parameters}->{set};
+ }
+ $opts{ 'metadataHandler' } = $self->{_cfg}->{uri}->{parameters}->{handler};
+ $logger->info("request set |$self->{_cfg}->{uri}->{parameters}->{set}|", 2);
+
+ # request the server at
+ $logger->info("request oai uri |$uri|", 2);
+
+ my $records = $harvester->listRecords( %opts );
+ my $finished = 0;
+ my $completeListSize = 0;
+
+ TOKEN:
+ # while
+ while ( ! $finished ) {
+
+ if ( $records->errorCode() ) {
+
+ $logger->info('records errorCode', 2);
+ if ( $records->errorCode() eq 'xmlParseError' ) {
+ $logger->error('xml Parser Error ' . Dumper( $records->file() ) );
+ }
+ $logger->error("no valid response from oai uri |$uri| status_line |".$records->errorCode(). "|");
+ $logger->info('last token', 2);
+ last TOKEN;
+ }
+
+ while ( my $record = $records->next() ) {
+ $logger->info('header identifier: ' . $record->header()->identifier(), 1);
+ # $logger->info('metadata title: ' . $r->metadata()->title(), 2);
+
+ $logger->debug('object ' . Dumper( $record->metadata() ) );
+
+ ###### get the objects and push them into the message queue
+ OBJECTS:
+
+ my $object = bless {
+ pid => $record->header()->identifier(),
+ title => [ $record->metadata()->title() ],
+ format => $record->metadata()->format() || undef,
+ type => $record->metadata()->type() || undef,
+ language => $record->metadata()->language() || undef,
+ date => $record->metadata()->date() || undef,
+ rights => [ $record->metadata()->rights() ],
+ contributor => [ $record->metadata()->contributor() ],
+ identifier => [ $record->metadata()->identifier() ],
+ rights => [ $record->metadata()->rights() ],
+ description => [ $record->metadata()->description() ]
+ };
+
+ my $jsonner = JSON::XS->new->pretty->convert_blessed(1);
+ my $data = $jsonner->encode( $object );
+ $logger->debug('json data' . $data );
+
+ $logger->info('mq publish', 2);
+ $mq->publish(
+ # channel
+ 1,
+ # routing_key
+ $self->{_cfg}->{mq}->{routing_key},
+ # body
+ $data,
+ # options
+ {
+ exchange => '', # default 'amq.direct'
+ },
+ # props
+ {
+ delivery_mode => 2,
+ expiration => $mq_publish_expiration, # milliseconds
+ },
+ );
+
+ # $main::term
+ if ( $main::term ) {
+ last TOKEN;
+ }
+
+ $c++;
+ }
+
+ my $resumptionToken = $records->resumptionToken();
+ if ( $resumptionToken ) {
+ $logger->info("sleep before next token |".$self->{_cfg}->{sleep}->{token}."|", 2);
+ sleep $self->{_cfg}->{sleep}->{token};
+ $logger->info("using resumption token:" . $resumptionToken->token(), 2);
+ $completeListSize = $resumptionToken->completeListSize();
+ my $cursor = $resumptionToken->cursor();
+ $logger->info("completeListSize:" . $completeListSize . "cursor:" . $cursor, 2);
+ $opts{ 'resumptionToken' } = $resumptionToken->token();
+ $logger->info("request oai uri |$uri|", 2);
+ $logger->info("request oai opts |". Dumper( %opts ) ."|", 2);
+ $records = $harvester->listRecords(
+ resumptionToken => $resumptionToken->token(),
+ metadataHandler => $self->{_cfg}->{uri}->{parameters}->{handler}
+ );
+ } else {
+ $finished = 1;
+ }
+ }
+
+ $logger->warning('SIG via main::term received', 2) if $main::term;
+
+ $logger->info('token done', 2);
+
+ $logger->info("c |$c|", 1);
+
+ $logger->info('mq disconnect', 2);
+ $mq->disconnect();
+
+ $logger->info('OAIHarvest_DC workout done', 1);
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("OAIHarvest_DC died |$syntax_error_message|");
+ croak $syntax_error_message;
+ }
+
+ $logger->info('OAIHarvest_DC done', 1);
+
+ return;
+}
+
+sub _slurp {
+ my ($file) = @_;
+
+ my $slurp;
+ open my $fh, '<', $file or croak "no open at file |$file|, |$!|";
+ do {
+ local $/;
+ $slurp = <$fh>;
+ };
+ close $fh or carp "no close at file |$file|, |$!|";
+ chomp $slurp;
+
+ return $slurp;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaharvest/perl/lib/App/Type/OAIHarvest_LOM.pm b/oeaplatform/metaharvest/perl/lib/App/Type/OAIHarvest_LOM.pm
new file mode 100644
index 0000000000000000000000000000000000000000..ea649c3c39e4bd00421ca889b2ca24455cc6f871
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/App/Type/OAIHarvest_LOM.pm
@@ -0,0 +1,232 @@
+package App::Type::OAIHarvest_LOM;
+
+# workout job type OAIHarvest_LOM
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use App::Logger;
+use JSON::XS;
+use Net::AMQP::RabbitMQ;
+use Time::HiRes qw/sleep/;
+use Net::OAIPMH::Harvester;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_cfg} = $args{cfg} || croak "no cfg given";
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_cfg}->{log}->{path}.'/'.$self->{_cfg}->{log}->{filename},
+ debug => defined $self->{_cfg}->{debug} ? $self->{_cfg}->{debug} : 1,
+ verbosity => defined $self->{_cfg}->{verbosity} ? $self->{_cfg}->{verbosity} : 2,
+ );
+
+ return;
+}
+
+sub run {
+ my ($self) = @_;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('OAIHarvest_LOM start', 1);
+
+ # this method can die/croak/confess
+
+ eval {
+
+ $logger->debug('_cfg ' . Dumper( $self->{_cfg} ) );
+
+ $logger->info('OAIHarvest_LOM start', 1);
+
+ # OAI-PMH source
+ $logger->info('harvester Net::OAIPMH::Harvester->new', 2);
+ my $uri = $self->{_cfg}->{uri}->{scheme} . ':' . $self->{_cfg}->{uri}->{authority}
+ . $self->{_cfg}->{uri}->{path};
+ my $harvester = Net::OAIPMH::Harvester->new( baseURL => $uri );
+
+ # MessageQueue target
+ $logger->info('mq Net::AMQP::RabbitMQ->new', 2);
+ my $mq = Net::AMQP::RabbitMQ->new();
+ $logger->info('mq connect', 2);
+ $mq->connect(
+ # hostname
+ $self->{_cfg}->{mq}->{host},
+ # options
+ {
+ port => $self->{_cfg}->{mq}->{port},
+ user => $self->{_cfg}->{mq}->{user},
+ password => _slurp( $self->{_cfg}->{mq}->{pass} ),
+ vhost => $self->{_cfg}->{mq}->{vhost},
+ timeout => 5, # <42> seconds, default undef
+ },
+ );
+ $logger->info('mq channel_open', 2);
+ $mq->channel_open(1);
+
+ $logger->info('token start', 2);
+
+ my $c = 0; # count objects
+ my $mq_publish_expiration = $self->{_cfg}->{sleep}->{post} * 1000; # milliseconds
+
+ ##### collect data via oai_pmh starting here:
+
+ $logger->info("request metadataPrefix |$self->{_cfg}->{uri}->{parameters}->{prefix}|", 2);
+ my %opts = ( 'metadataPrefix' => $self->{_cfg}->{uri}->{parameters}->{prefix} );
+ # $opts{ 'from' } = $self->{_cfg}->{uri}->{parameters}->{from}; # expacts a start date not used
+ # $opts{ 'until' } = $self->{_cfg}->{uri}->{parameters}->{from}; # expacts a end date not used
+ if ( $self->{_cfg}->{uri}->{parameters}->{set} ne 'noSetHierarchy' ) {
+ $opts{ 'set' } = $self->{_cfg}->{uri}->{parameters}->{set};
+ }
+ $opts{ 'metadataHandler' } = $self->{_cfg}->{uri}->{parameters}->{handler};
+ $logger->info("request set |$self->{_cfg}->{uri}->{parameters}->{set}|", 2);
+
+ # request the server at
+ $logger->info("request oai uri |$uri|", 2);
+ $logger->info("request oai opts |". Dumper( %opts ) ."|", 2);
+
+ my $records = $harvester->listRecords( %opts );
+ my $finished = 0;
+ my $completeListSize = 0;
+
+ TOKEN:
+ # while
+ while ( ! $finished ) {
+
+ if ( $records->errorCode() ) {
+
+ $logger->info('records errorCode', 2);
+ if ( $records->errorCode() eq 'xmlParseError' ) {
+ $logger->error('xml Parser Error ' . Dumper( $records->file() ) );
+ }
+ $logger->error("no valid response from oai uri: $uri | code: ".$records->errorCode(). " | reason: ".$records->errorString()." |");
+ $logger->info('last token', 2);
+ last TOKEN;
+ }
+
+ while ( my $record = $records->next() ) {
+ $logger->info('header identifier: ' . $record->header()->identifier(), 1);
+
+ $logger->debug('object ' . Dumper( $record->metadata() ) );
+
+ ###### get the objects and push them into the message queue
+ OBJECTS:
+ my $r = $record->metadata();
+
+ my $data = encode_json( $r->lom() );
+ $logger->debug('json data' . $data );
+
+ $logger->info('mq publish', 2);
+ $mq->publish(
+ # channel
+ 1,
+ # routing_key
+ $self->{_cfg}->{mq}->{routing_key},
+ # body
+ $data,
+ # options
+ {
+ exchange => '', # default 'amq.direct'
+ },
+ # props
+ {
+ delivery_mode => 2,
+ expiration => $mq_publish_expiration, # milliseconds
+ },
+ );
+
+ # $main::term
+ if ( $main::term ) {
+ last TOKEN;
+ }
+
+ $c++;
+ }
+
+ my $resumptionToken = $records->resumptionToken();
+ if ( $resumptionToken ) {
+ $logger->info("sleep before next token |".$self->{_cfg}->{sleep}->{token}."|", 2);
+ sleep $self->{_cfg}->{sleep}->{token};
+ $logger->info("using resumption token:" . $resumptionToken->token(), 2);
+ $completeListSize = defined $resumptionToken->completeListSize() ? $resumptionToken->completeListSize() : -1;
+ my $cursor = $resumptionToken->cursor();
+ $logger->info("completeListSize:" . $completeListSize . "cursor:" . $cursor, 2);
+ $opts{ 'resumptionToken' } = $resumptionToken->token();
+ $logger->info("request oai uri |$uri|", 2);
+ $logger->info("request oai opts |". Dumper( %opts ) ."|", 2);
+ $records = $harvester->listRecords(
+ resumptionToken => $resumptionToken->token(),
+ metadataHandler => $self->{_cfg}->{uri}->{parameters}->{handler}
+ );
+ } else {
+ $finished = 1;
+ }
+ }
+
+
+
+ $logger->warning('SIG via main::term received', 2) if $main::term;
+
+ $logger->info('token done', 2);
+
+ $logger->info("c |$c| vs completeListSize |$completeListSize|", 1);
+
+ $logger->info('mq disconnect', 2);
+ $mq->disconnect();
+
+ $logger->info('OAIHarvest_LOM workout done', 1);
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("OAIHarvest_LOM died |$syntax_error_message|");
+ croak $syntax_error_message;
+ }
+
+ $logger->info('OAIHarvest_LOM done', 1);
+
+ return;
+}
+
+sub _slurp {
+ my ($file) = @_;
+
+ my $slurp;
+ open my $fh, '<', $file or croak "no open at file |$file|, |$!|";
+ do {
+ local $/;
+ $slurp = <$fh>;
+ };
+ close $fh or carp "no close at file |$file|, |$!|";
+ chomp $slurp;
+
+ return $slurp;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaharvest/perl/lib/App/Type/dummy.pm b/oeaplatform/metaharvest/perl/lib/App/Type/dummy.pm
new file mode 100644
index 0000000000000000000000000000000000000000..b18a24d42c78477f18c8808531bd718ad625fe80
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/App/Type/dummy.pm
@@ -0,0 +1,78 @@
+package App::Type::dummy;
+
+# workout job type dummy
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use App::Logger;
+use Time::HiRes qw/sleep/;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_cfg} = $args{cfg} || croak "no cfg given";
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_cfg}->{log}->{path}.'/'.$self->{_cfg}->{log}->{filename},
+ debug => defined $self->{_cfg}->{debug} ? $self->{_cfg}->{debug} : 1,
+ verbosity => defined $self->{_cfg}->{verbosity} ? $self->{_cfg}->{verbosity} : 2,
+ );
+
+ return;
+}
+
+sub run {
+ my ($self) = @_;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('dummy start', 1);
+
+ # this method can die/croak/confess
+
+ eval {
+
+ $logger->debug('_cfg ' . Dumper( $self->{_cfg} ) );
+
+ $logger->info('dummy workout start', 1);
+ $logger->info('dummy workout done', 1);
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("dummy died |$syntax_error_message|");
+ croak $syntax_error_message;
+ }
+
+ $logger->info('dummy done', 1);
+
+ return;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaharvest/perl/lib/OAI_DC_xLang.pm b/oeaplatform/metaharvest/perl/lib/OAI_DC_xLang.pm
new file mode 100644
index 0000000000000000000000000000000000000000..dc172ae0724c7e4fb2789c73d06dd50d42481cdf
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/OAI_DC_xLang.pm
@@ -0,0 +1,117 @@
+package OAI_DC_xLang;
+
+use strict;
+use warnings;
+use base qw( XML::SAX::Base );
+use Carp qw( carp );
+use Data::Dumper;
+our $VERSION = "1.0";
+
+use constant {
+ XMLNS_DC => 'http://purl.org/dc/elements/1.1/',
+ XMLNS_OAIDC => 'http://www.openarchives.org/OAI/2.0/oai_dc/',
+};
+
+our @OAI_DC_ELEMENTS = qw(
+ title
+ creator
+ subject
+ description
+ publisher
+ contributor
+ date
+ type
+ format
+ identifier
+ source
+ language
+ relation
+ coverage
+ rights
+);
+
+
+our $AUTOLOAD;
+
+
+sub new {
+ my ( $class, %opts ) = @_;
+ my $self = bless \%opts, ref( $class ) || $class;
+ foreach ( @OAI_DC_ELEMENTS ) {
+ $self->{ $_ } = [];
+ }
+ return( $self );
+}
+
+
+## rather than right all the accessors we use AUTOLOAD to catch calls
+## valid element names as methods, and return appropriately as a list
+
+sub AUTOLOAD {
+ my $self = shift;
+ my $sub = lc( $AUTOLOAD );
+ $sub =~ s/.*:://;
+ if ( grep /$sub/, @OAI_DC_ELEMENTS ) {
+ if ( wantarray() ) {
+ return( @{ $self->{ $sub } } );
+ } else {
+ return( $self->{ $sub }[0] );
+ }
+ }
+}
+
+## SAX handlers
+
+sub start_element {
+ my ( $self, $element ) = @_;
+ my $elname = $element->{ LocalName };
+ my $ns = $element->{ NamespaceURI };
+ my $xml_lang = '{http://www.w3.org/XML/1998/namespace}lang';
+
+ if ( ($element->{ NamespaceURI } eq XMLNS_OAIDC) and ($elname eq "dc") ) {
+ $self->{ _insideRecord } = 1}
+ elsif ( $element->{ NamespaceURI } ne XMLNS_DC ) {
+ carp "what is ".$element->{ Name }."?";
+ return undef;
+ }
+ elsif ( $element->{ Attributes }{ $xml_lang }{ Value } ) {
+ $self->{ _lang } = $element->{ Attributes }{ $xml_lang }{ Value };
+ $self->{ chars } = "";
+ }
+ elsif ( grep /$elname/, @OAI_DC_ELEMENTS ) {
+ $self->{ chars } = "";
+ $self->{ _lang } = undef }
+ else {
+ carp "what is $elname?"}
+}
+
+sub end_element {
+ my ( $self, $element ) = @_;
+ my $elname = $element->{ LocalName };
+
+ if ( ($element->{ NamespaceURI } eq XMLNS_OAIDC) and ($elname eq "dc") ) {
+ $self->{ _insideRecord } = 0}
+ elsif ( $element->{ NamespaceURI } ne XMLNS_DC ) {
+ return undef}
+ elsif ( grep /$elname/, @OAI_DC_ELEMENTS ) { # o.k.
+ if ( $self->{ _lang } ) { # o.k. with xml:lang attribute
+ my $ob = {
+ $self->{ _lang } => $self->{ chars }
+ };
+ push( @{ $self->{ $elname } }, $ob );
+ } else {
+ push( @{ $self->{ $elname } }, $self->{ chars } );
+ }
+ $self->{ chars } = undef;
+ }
+ elsif ( $self->{ chars } =~ /\S/ ) {
+ carp "unassigned content: ".$self->{ chars };
+ }
+}
+
+sub characters {
+ my ( $self, $characters ) = @_;
+ $self->{ chars } .= $characters->{ Data } if $self->{ _insideRecord };
+}
+
+1;
diff --git a/oeaplatform/metaharvest/perl/lib/OAI_LOM_edusharing.pm b/oeaplatform/metaharvest/perl/lib/OAI_LOM_edusharing.pm
new file mode 100644
index 0000000000000000000000000000000000000000..9375126f4b464313b95b351e156bebf9d8d7e732
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/OAI_LOM_edusharing.pm
@@ -0,0 +1,895 @@
+package OAI_LOM_edusharing;
+
+use strict;
+use warnings;
+use base qw( XML::SAX::Base );
+use Carp qw( carp );
+use Data::Dumper;
+our $VERSION = "0.1";
+
+use constant {
+ XMLNS_DC => 'http://purl.org/dc/elements/1.1/',
+ XMLNS_OAIDC => 'http://www.openarchives.org/OAI/2.0/oai_dc/',
+
+ XMLNS_LOM_de => 'http://purl.org/dc/elements/1.1/',
+ XMLNS_OAI_LOM_de => 'https://www.oerbw.de/hsoerlom',
+ DEFAULT_LANGUAGE => ['de'],
+};
+
+# general lifecycle metametadata technical educational rights classification relation annotation catalog
+our @OAI_LOM_ELEMENTS_FIRST_ORDER = qw(
+ technical
+ );
+
+our @OAI_LOM_ELEMENTS_TECHNICAL_LEAF = qw(
+ format
+ size
+ location
+ );
+#########
+## taxonpath aggregationlevel
+##
+## origin at zoer: taxonPath aggregationLevel
+#########
+
+# our $AUTOLOAD;
+
+sub new {
+ my ( $class, %opts ) = @_;
+ my $self = bless \%opts, ref( $class ) || $class;
+ $self->{ format } = $self->{ size } = $self->{ location } = '';
+ $self->{ id } = $self->{ entry } = $self->{ vcard } = '';
+ $self->{ title } = $self->{ description } = $self->{ catalog } = $self->{ entry } = $self->{ language } = '';
+ $self->{ identifier } = [];
+ $self->{ keyword } = [];
+ $self->{ _tagStack } = [];
+ $self->{ langstring } = undef;
+ $self->{ source } = $self->{ value } = '';
+ $self->{ _insideMetadata } = 0;
+ $self->{ _insideLom } = $self->{ _insideGeneral } = $self->{ _insideLifecycle } =
+ $self->{ _insideMetaMetadata } = $self->{ _insideTechnical } =
+ $self->{ _insideEducational } = $self->{ _insideRights } =
+ $self->{ _insideClassification } = $self->{ _insideClassificationPurpose } = $self->{ _insideStatus } = 0;
+ $self->{ _insideDescription } = $self->{ _insideTitle } = $self->{ _insideAggregationLevel } = $self->{ _insideRole } = $self->{ _insideMetametadata } = 0;
+ $self->{ _insideLearningResourceType } = $self->{ _insideCopyrightandotherrestrictions } = $self->{ _insideTaxon } = 0;
+ return( $self );
+}
+
+# sub new {
+# my ( $class, %opts ) = @_;
+# my $self = bless \%opts, ref( $class ) || $class;
+# # foreach ( @OAI_LOM_ELEMENTS_FIRST_ORDER ) {
+# foreach ( @OAI_LOM_ELEMENTS_LEAF ) {
+# $self->{ $_ } = [];
+# }
+# return( $self );
+#}
+
+
+## rather than right all the accessors we use AUTOLOAD to catch calls
+## valid element names as methods, and return appropriately as a list
+
+#sub AUTOLOAD {
+# my $self = shift;
+# my $sub = lc( $AUTOLOAD );
+# $sub =~ s/.*:://;
+# # if ( grep /$sub/, @OAI_LOM_ELEMENTS_FIRST_ORDER ) {
+# if ( grep /$sub/, @OAI_LOM_ELEMENTS_LEAF ) {
+# if ( wantarray() ) {
+# return( @{ $self->{ $sub } } );
+# } else {
+# return( $self->{ $sub }[0] );
+# }
+# }
+#}
+sub format {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ format } = $element; }
+ return( $self->{ format } );
+}
+
+sub size {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ size } = $element; }
+ return( $self->{ size } );
+}
+
+sub location {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ location } = $element; }
+ return( $self->{ location } );
+}
+
+sub title {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ title } = $element; }
+ return( $self->{ title } );
+}
+
+sub description {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ description } = $element; }
+ return( $self->{ description } );
+}
+
+sub version {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ version } = $element; }
+ return( $self->{ version } );
+}
+
+sub vcard {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ vcard } = $element; }
+ return( $self->{ vcard } );
+}
+
+sub datetime {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ datetime } = $element; }
+ return( $self->{ datetime } );
+}
+
+#sub identifier {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ identifier } = $element; }
+# return( $self->{ identifier } );
+#}
+
+#sub catalog {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ catalog } = $element; }
+# return( $self->{ catalog } );
+#}
+
+# sub entry {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ entry } = $element; }
+# return( $self->{ entry } );
+#}
+
+# sub keyword {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ keyword } = $element; }
+# return( $self->{ keyword } );
+#}
+
+#sub langstring {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ langstring } = $element; }
+# return( $self->{ langstring } );
+# # return( @{ $self->{ langstring } } );
+#}
+
+sub lomGeneral {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomGeneral } = $element; }
+ return( $self->{ lomGeneral } );
+}
+sub lomLifecycle {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomLifecycle } = $element; }
+ return( $self->{ lomLifecycle } );
+}
+sub lomMetametadata {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomMetametadata } = $element; }
+ return( $self->{ lomMetametadata } );
+}
+sub lomTechnical {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomTechnical } = $element; }
+ return( $self->{ lomTechnical } );
+}
+sub lomEducational {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomEducational } = $element; }
+ return( $self->{ lomEducational } );
+}
+sub lomRights {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomRights } = $element; }
+ return( $self->{ lomRights } );
+}
+
+sub lomClassification {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomClassification } = $element; }
+ return( $self->{ lomClassification } );
+}
+
+sub lom {
+ my ( $self ) = @_;
+ my $lom = {
+ general => $self->lomGeneral(),
+ lifecycle => $self->lomLifecycle(),
+ metametadata => $self->lomMetametadata(),
+ technical => $self->lomTechnical(),
+ educational => $self->lomEducational(),
+ rights => $self->lomRights(),
+ classification => $self->lomClassification(),
+ };
+ return( $lom );
+}
+
+sub trim {
+ my ( $txt ) = @_;
+ $txt =~ s/^\s+|\s+$|\R//g;
+ return( $txt );
+}
+
+## SAX handlers
+sub start_element {
+ my ( $self, $element ) = @_;
+ my $xml_lang = '{http://www.w3.org/XML/1998/namespace}lang';
+ #unless ( $element->{ NamespaceURI } eq XMLNS_OAI_LOM_de ) {
+ # $self->SUPER::start_element($element) if $self->{ fwdAll } or $self->{ _insideMetadata };
+ # return;
+ #}
+
+ my $tagName = $element->{ LocalName };
+ push( @{$self->{ _tagStack }}, $tagName );
+ if ( $tagName eq 'metadata' ) {
+ $self->{ _insideMetadata } = 1;
+ }
+ elsif ( $tagName eq 'lom' ) {
+ $self->{ _insideLom } = 1;
+ }
+ elsif ( $tagName eq 'about' ) {
+ $self->{ _insideAbout } = 0;
+ }
+ ##### General #####
+ elsif ( $tagName eq 'general') {
+ delete $self->{ langstringArray };
+ delete $self->{ languages };
+ $self->{ _insideGeneral } = 1;
+ }
+ elsif ( $tagName eq 'title') {
+ delete $self->{ langstringArray };
+ $self->{ _insideTitle } = 1;
+ }
+ elsif ( $tagName eq 'language') {
+ $self->{ _insideLanguage } = 1;
+ }
+ elsif ( $tagName eq 'identifier') {
+ $self->{ _insideIdentifier } = 1;
+ }
+ elsif ( $tagName eq 'catalog') {
+ $self->{ _insideCatalog } = 1;
+ }
+
+ elsif ( $tagName eq 'keyword') {
+ $self->{ _insideEntry } = 1;
+ }
+ elsif ( $tagName eq 'aggregationlevel') {
+ $self->{ _insideAggregationLevel } = 1;
+ }
+
+ ##### Lifecycle #####
+ elsif ( $tagName eq 'lifecycle') {
+ delete $self->{ langstringArray };
+ $self->{ _insideLifecycle } = 1;
+ }
+ elsif ( $tagName eq 'version') {
+ $self->{ _insideVersion } = 1;
+ }
+ elsif ( $tagName eq 'status') {
+ $self->{ _insideStatus } = 1;
+ }
+
+ ##### Metametadata #####
+ elsif ( $tagName eq 'metametadata') {
+ delete $self->{ langstringArray };
+ $self->{ _insideMetametadata } = 1;
+ }
+ elsif ( $tagName eq 'contribute') {
+ delete $self->{ lomMetametadataContributeCentity };
+ delete $self->{ lomLifecycleContributeCentity };
+ $self->{ _insideContribute } = 1;
+ }
+
+ ##### Technical #####
+ elsif ( $tagName eq 'technical') {
+ delete $self->{ langstringArray };
+ $self->{ _insideTechnical } = 1;
+ }
+ elsif ( $tagName eq 'format') {
+ $self->{ _insideFormat } = 1;
+ }
+ elsif ( $tagName eq 'size') {
+ $self->{ _insideSize } = 1;
+ }
+ elsif ( $tagName eq 'location') {
+ $self->{ _insideLocation } = 1;
+ }
+ elsif ( $tagName eq 'duration' ) {
+ $self->{ _insideDuration } = 1;
+ }
+ # non standard element
+ elsif ( $tagName eq 'thumbnail' ) {
+ $self->{ _insideThumbnail } = 1;
+ }
+ # non standard element: location of the thumbnail
+ elsif ( $tagName eq 'url' ) {
+ $self->{ _insideUrl } = 1;
+ }
+ # non standard element: description of the thumbnail
+ # elsif ( $tagName eq 'remark' ) {
+ # $self->{ _insideRemark } = 1;
+ #}
+
+ ##### Educational #####
+ elsif ( $tagName eq 'educational') {
+ delete $self->{ langstringArray };
+ delete $self->{ lomEducationalLearningResourceType }; # since change to hash a delete it here
+ $self->{ _insideEducational } = 1;
+ }
+ elsif ( $tagName eq 'learningresourcetype') {
+ $self->{ _insideLearningResourceType } = 1;
+ delete $self->{ langstringArray } ; # here delete is a must
+ $self->{ langstring } = '';
+ }
+
+ ##### Rights #####
+ elsif ( $tagName eq 'rights') {
+ delete $self->{ langstringArray };
+ $self->{ _insideRights } = 1;
+ }
+ elsif ( $tagName eq 'copyrightandotherrestrictions') {
+ $self->{ _insideCopyrightandotherrestrictions } = 1;
+ }
+
+ ##### Classification #####
+ # the IEEE allows multiple classification and UIBK will use two #
+ elsif ( $tagName eq 'classification') {
+ delete $self->{ langstringArray };
+ delete $self->{ lomClassificationTaxonpath };
+ $self->{ _insideClassification } = 1;
+ }
+ elsif ( $tagName eq 'purpose') {
+ $self->{ _insidePurpose } = 1;
+ }
+ elsif ( $tagName eq 'taxonpath') {
+ delete $self->{ lomClassificationTaxonpathTaxon };
+ $self->{ _insideTaxonpath } = 1;
+ }
+ elsif ( $tagName eq 'taxon') {
+ delete $self->{ langstringArray };
+ $self->{ _insideTaxon } = 1;
+ }
+
+ ##### used in several Elements #####
+ elsif ( $tagName eq 'langstring' ) {
+ if ( $element->{ Attributes }{ $xml_lang }{ Value } ) {
+ $self->{ _lang } = $element->{ Attributes }{ $xml_lang }{ Value };
+ $self->{ chars } = "";
+ }
+ $self->{ _insideLangstring } = 1;
+ }
+ elsif ( $tagName eq 'source') {
+ $self->{ _insideSource } = 1;
+ }
+ elsif ( $tagName eq 'value') {
+ $self->{ _insideValue } = 1;
+ }
+ elsif ( $tagName eq 'entry') {
+ delete $self->{ langstringArray };
+ $self->{ _insideEntry } = 1;
+ }
+ elsif ( $tagName eq 'description') {
+ delete $self->{ langstringArray };
+ $self->{ _insideDescription } = 1;
+ }
+ elsif ( $tagName eq 'role') {
+ $self->{ _insideRole } = 1;
+ }
+ elsif ( $tagName eq 'centity') {
+ $self->{ _insideCentity } = 1;
+ }
+ elsif ( $tagName eq 'vcard') {
+ $self->{ _insideVcard } = 1;
+ }
+ elsif ( $tagName eq 'date') {
+ $self->{ _insideDate } = 1;
+ }
+ elsif ( $tagName eq 'datetime') {
+ $self->{ _insideDatetime } = 1;
+ }
+ elsif ( $tagName eq 'id') {
+ $self->{ id } = '';
+ $self->{ _insideId } = 1;
+ }
+ else {
+ carp "who am I SE? ($tagName)";
+ #return $self->SUPER::start_element($element);
+ };
+ #return $self->SUPER::start_element($element) if $self->{ fwdAll };
+}
+
+sub end_element {
+ my ( $self, $element ) = @_;
+ # unless ( $element->{ NamespaceURI } eq XMLNS_OAI_LOM_de ) {
+ # $self->SUPER::end_element($element) if $self->{ fwdAll } or $self->{ _insideMetadata };
+ # return;
+ #}
+
+ pop( @{$self->{ _tagStack }} );
+ my $tagName = $element->{ LocalName };
+ if ( $tagName eq 'metadata' ) {
+ $self->{ _insideMetadata } = 0;
+ delete $self->{ _insideLom };
+ }
+ elsif ( $tagName eq 'lom' ) {
+ $self->{ _insideLom } = 0;
+ delete $self->{ _insideGeneral };
+ delete $self->{ _insideLifecycle };
+ delete $self->{ _insideMetametadata };
+ delete $self->{ _insideTechnical };
+ delete $self->{ _insideEducational };
+ delete $self->{ _insideRights };
+ delete $self->{ _insideClassification };
+ # General
+ delete $self->{ _insideTitle };
+ delete $self->{ _insideDescription };
+ # Metametadata
+ delete $self->{ _insideMetaMetadata };
+ # Technical
+ delete $self->{ _insideFormat };
+ delete $self->{ _insideSize };
+ delete $self->{ _insideLocation };
+
+ delete $self->{ _insideVcard };
+ delete $self->{ _insideId };
+ delete $self->{ _insideLanguage };
+ delete $self->{ _insideVersion };
+ delete $self->{ _insideEntry };
+ delete $self->{ _insideContribute };
+ delete $self->{ _insideDate };
+ delete $self->{ _insideKeyword };
+ delete $self->{ _insideSource };
+ delete $self->{ _insideDatetime };
+
+ delete $self->{ _insideLangstring };
+ delete $self->{ _insideAggregationLevel };
+ delete $self->{ _insideCopyrightandotherrestrictions };
+ delete $self->{ _insideIdentifier };
+ delete $self->{ _insideLearningResourceType };
+ delete $self->{ _insideCentity };
+ delete $self->{ _insideStatus };
+ delete $self->{ _insideCatalog };
+ delete $self->{ _insideValue };
+ delete $self->{ _insideRole };
+ delete $self->{ _lang };
+ }
+ ##### General #####
+ elsif ( $tagName eq 'general') {
+ # carp 'end_element in general';
+ # $self->{ _insideGeneral } = 0;
+ my $ob = {
+ title => $self->{ lomGeneralTitle } || undef,
+ description => $self->{ lomGeneralDescription } || undef,
+ identifiers => $self->{ lomGeneralIdentifiers } || undef,
+ keywords => $self->{ lomGeneralKeywords } || undef,
+ language => $self->{ languages } || DEFAULT_LANGUAGE,
+ aggregationLevel => $self->{ lomGeneralAggregationLevel } || undef,
+ };
+ $self->{ lomGeneral } = $ob;
+ $self->{ _insideGeneral } = 0;
+ }
+ elsif ( $tagName eq 'title' ) {
+ if ( $self->{ langstringArray } ) {
+ $self->{ lomGeneralTitle } = $self->{ langstringArray };
+ delete $self->{ langstringArray };
+ } else {
+ push( @{ $self->{ lomGeneralTitle } }, $self->{ langstring } );
+ }
+ $self->{ _insideTitle } = 0;
+ $self->{ langstring } = '';
+ }
+
+ elsif ( $tagName eq 'identifier') {
+ my $ent = $self->{ entry };
+ if ( $self->{ langstring } ne '' ) {
+ $ent = $self->{ langstring };
+ $self->{ langstring } = '';
+ }
+ my $ob = {
+ catalog => $self->{ catalog } || undef,
+ entry => trim( $ent )
+ };
+ push( @{ $self->{ lomGeneralIdentifiers } }, $ob );
+ $self->{ _insideIdentifier } = 0;
+ $self->{ catalog } = '';
+ }
+ elsif ( $tagName eq 'catalog') {
+ # $self->{ _insideCatalog } = 0;
+ }
+
+ elsif ( $tagName eq 'keyword') {
+ if ( $self->{ langstringArray } ) {
+ $self->{ lomGeneralKeywords } = $self->{ langstringArray };
+ } else {
+ push( @{ $self->{ lomGeneralKeywords } }, $self->{ langstring } );
+ }
+ $self->{ _insideKeyword } = 0;
+ $self->{ langstring } = '';
+ }
+ elsif ( $tagName eq 'aggregationlevel') {
+ my $ob = {
+ source => $self->{ lomGeneralAggregationLevelSource } || undef,
+ value => $self->{ lomGeneralAggregationLevelValue } || undef
+ };
+ $self->{ lomGeneralAggregationLevel } = $ob ;
+ $self->{ _insideAggregationLevel } = 0;
+ }
+
+ ##### Lifecycle #####
+ elsif ( $tagName eq 'lifecycle' ) {
+ my $ob = {
+ version => $self->version() || undef,
+ versionDate => $self->{ lomLifecycleVersionDate } || undef,
+ status => $self->{ lomLifecycleStatus } || undef,
+ contributes => $self->{ lomLifecycleContribute }
+ };
+ $self->{ lomLifecycle } = $ob;
+ $self->{ _insideLifecycle } = 0;
+ }
+ elsif ( $tagName eq 'status') {
+ my $ob = {
+ source => $self->{ lomLifecycleStatusSource } || undef,
+ value => $self->{ lomLifecycleStatusValue } || undef,
+ };
+ $self->{ lomLifecycleStatus } = $ob ;
+ $self->{ _insideStatus } = 0;
+ }
+
+ ##### Metametadata #####
+ elsif ( $tagName eq 'metametadata' ) {
+ my $ob = {
+ contributors => $self->{ lomMetametadataContribute }
+ };
+ $self->{ lomMetametadata } = $ob;
+ $self->{ _insideMetametadata } = 0;
+ }
+
+ ##### Technical #####
+ elsif ( $tagName eq 'technical' ) {
+ my $ob = {
+ format => $self->{ format } || undef,
+ size => $self->{ size } || undef,
+ location => $self->{ location } || undef,
+ duration => $self->{ lomTechnicalDuration } || undef,
+ otherplatformrequirements => $self->{ otherplatformrequirements } || undef,
+ thumbnail => $self->{ lomTechnicalThumbnail } || undef,
+ };
+ $self->{ lomTechnical } = $ob;
+ $self->{ _insideTechnical } = 0;
+ }
+ elsif ( $tagName eq 'format ') {
+ $self->{ _insideFormat } = 0;
+ }
+ elsif ( $tagName eq 'size' ) {
+ $self->{ _insideSize } = 0;
+ }
+ elsif ( $tagName eq 'location' ) {
+ $self->{ _insideLocation } = 0;
+ }
+ elsif ( $tagName eq 'duration' ) {
+
+ if ( $self->{ _insideDuration } ) {
+ my $ob = {
+ datetime => $self->{ datetime } || undef,
+ description => $self->{ lomDurationDescription } || undef
+ };
+ $self->{ lomTechnicalDuration } = $ob ;
+ }
+ $self->{ datetime } = $self->{ lomDurationDescription } = '';
+ $self->{ _insideDuration } = 0;
+ }
+ # non standard element
+ elsif ( $tagName eq 'thumbnail' ) {
+ my $ob = {
+ url => $self->{ url } || undef,
+ description => $self->{ lomTechnicalThumbnailDescription } || undef,
+ };
+ $self->{ lomTechnicalThumbnail } = $ob;
+ $self->{ _insideThumbnail } = 0;
+ }
+ # non standard element: location of the thumbnail
+ elsif ( $tagName eq 'url' ) {
+ $self->{ _insideUrl } = 0;
+ }
+ # non standard element: description of the thumbnail
+ # elsif ( $tagName eq 'remark' ) {
+ # $self->{ _insideRemark } = 0;
+ #}
+
+ ##### Educational #####
+ elsif ( $tagName eq 'educational' ) {
+ my $ob = {
+ learningResourceType => $self->{ lomEducationalLearningResourceType } || undef,
+ description => $self->{ lomEducationalDescription } || undef,
+ };
+ $self->{ lomEducational } = $ob;
+ $self->{ _insideEducational } = 0;
+ }
+ elsif ( $tagName eq 'learningresourcetype') {
+ my $ob = {
+ source => $self->{ lomEducationalLearningResourceTypeSource } || undef,
+ id => $self->{ id } || undef,
+ entry => $self->{ lomEducationalLearningResourceTypeEntry } || undef,
+ };
+ push( @{ $self->{ lomEducationalLearningResourceType } }, $ob );
+ # $self->{ lomEducationalLearningResourceType } = $ob ; # not just a single object, use hash instead
+ $self->{ _insideLearningResourceType } = 0;
+ }
+
+ ##### Rights #####
+ elsif ( $tagName eq 'rights' ) {
+ my $ob = {
+ copyrightandotherrestrictions => $self->{ lomRightsCopyrightandotherrestrictions } || undef,
+ description => $self->{ lomRightsDescription } || undef,
+ };
+ $self->{ lomRights } = $ob;
+ $self->{ _insideRights } = 0;
+ }
+ elsif ( $tagName eq 'copyrightandotherrestrictions') {
+ my $ob = {
+ source => $self->{ lomRightsCopyrightandotherrestrictionsSource } || undef,
+ value => $self->{ lomRightsCopyrightandotherrestrictionsValue } || undef,
+ };
+ $self->{ lomRightsCopyrightandotherrestrictions } = $ob ;
+ $self->{ _insideCopyrightandotherrestrictions } = 0;
+ }
+
+ ##### Classification #####
+ # IEEE allows multiple classification and UIBK will use two #
+ elsif ( $tagName eq 'classification' ) {
+ my $ob = {
+ purpose => $self->{ lomClassificationPurpose } || undef,
+ taxonPath => $self->{ lomClassificationTaxonpath } || undef,
+ };
+ push( @{ $self->{ lomClassification } }, $ob );
+ $self->{ _insideClassification } = 0;
+ }
+ elsif ( $tagName eq 'purpose' ) {
+ my $ob = {
+ source => $self->{ lomClassificationPurposeSource } || undef,
+ value => $self->{ lomClassificationPurposeValue } || undef,
+ };
+ $self->{ lomClassificationPurpose } = $ob ;
+ $self->{ _insidePurpose } = 0;
+ }
+ elsif ( $tagName eq 'taxonpath' ) {
+ my $ob = {
+ source => $self->{ lomClassificationTaxonpathSource } || undef,
+ taxon => $self->{ lomClassificationTaxonpathTaxon } || undef,
+ };
+ push( @{ $self->{ lomClassificationTaxonpath } }, $ob );
+ $self->{ _insideTaxonpath } = 0;
+ }
+ elsif ( $tagName eq 'taxon' ) {
+ my $entry_array = $self->{ lomClassificationTaxonPathTaxonEntry };
+ my $ob = {
+ id => $self->{ id } || undef,
+ entry => $entry_array || undef,
+ };
+ push( @{ $self->{ lomClassificationTaxonpathTaxon } }, $ob );
+ $self->{ _insideTaxon } = 0;
+ }
+
+ ##### Used in some parent Elements ####
+ elsif ( $tagName eq 'langstring' ) {
+ my $xmlLang = $self->{ _lang };
+ my $txt = $self->{ langstring };
+ if ( $self->{ _lang } ) {
+ if (( $self->{ _lang } ne 'x-none' ) and ( $self->{ _lang } ne 'x-t-cc-url' ) and ( $self->{ _lang } ne 'x-t-oefos' ) and ( $self->{ _lang } ne 'x-t-sdg' )) { # o.k. with xml:lang attribute, ignore x-none
+ my $obLang = {
+ $xmlLang => $txt
+ };
+ #$self->{ langstring } = $obLang;
+ push( @{ $self->{ langstringArray } }, $obLang );
+ $self->{ langstring } = '';
+ }
+ }
+ $self->{ _insideLangstring } = 0;
+ }
+ elsif ( $tagName eq 'source' ) {
+ if ( $self->{ _insideAggregationLevel } == 1 ) {
+ $self->{ lomGeneralAggregationLevelSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideLearningResourceType } == 1 ) {
+ $self->{ lomEducationalLearningResourceTypeSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideCopyrightandotherrestrictions } == 1 ) {
+ $self->{ lomRightsCopyrightandotherrestrictionsSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideMetametadata } == 1 ) {
+ $self->{ lomMetametadataContributeRoleSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideStatus } == 1 ) {
+ $self->{ lomLifecycleStatusSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ $self->{ lomLifecycleContributeRoleSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insidePurpose } == 1 ) {
+ $self->{ lomClassificationPurposeSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideTaxonpath } == 1 ) {
+ $self->{ lomClassificationTaxonpathSource } = $self->{ langstring } ;
+ }
+ $self->{ _insideSource } = 0;
+ $self->{ langstring } = '';
+ }
+ # used in identifiers or learningResourceTypes
+ elsif ( $tagName eq 'entry') {
+ if ( $self->{ _insideLearningResourceType } == 1 ) {
+ $self->{ lomEducationalLearningResourceTypeEntry } = $self->{ langstringArray };
+ delete $self->{ langstringArray } ;
+ # push( @{ $self->{ lomEducationalLearningResourceTypeEntry } }, $self->{ langstringArray } );
+ }
+ elsif ( $self->{ _insideTaxon } == 1 ) {
+ $self->{ lomClassificationTaxonPathTaxonEntry } = $self->{ langstringArray };
+ delete $self->{ langstringArray } ;
+ }
+ $self->{ _insideEntry } = 0;
+ }
+ elsif ( $tagName eq 'description' ) {
+ if ( $self->{ _insideGeneral } == 1 ) {
+ $self->{ lomGeneralDescription } = $self->{ langstringArray } ;
+ delete $self->{ langstringArray } ;
+ }
+ elsif ( $self->{ _insideEducational } == 1 ) {
+ $self->{ lomEducationalDescription } = $self->{ langstringArray } ;
+ delete $self->{ langstringArray } ;
+ }
+ elsif ( $self->{ _insideRights } == 1 ) {
+ $self->{ lomRightsDescription } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideDate } == 1 ) {
+ $self->{ lomDateDescription } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideDuration } == 1 ) {
+ $self->{ lomDurationDescription } = $self->{ langstring } ;
+ }
+ $self->{ langstring } = '';
+ $self->{ _insideDescription } = 0;
+ }
+ elsif ( $tagName eq 'value' ) {
+ if ( $self->{ _insideAggregationLevel } == 1 ) {
+ $self->{ lomGeneralAggregationLevelValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideCopyrightandotherrestrictions } == 1 ) {
+ $self->{ lomRightsCopyrightandotherrestrictionsValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideMetametadata } == 1 ) {
+ $self->{ lomMetametadataContributeRoleValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideStatus } == 1 ) {
+ $self->{ lomLifecycleStatusValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ $self->{ lomLifecycleContributeRoleValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideClassificationPurpose } == 1 ) {
+ $self->{ lomClassificationPurposeValue } = $self->{ langstring } ;
+ }
+ $self->{ _insideValue } = 0;
+ $self->{ langstring } = '';
+ }
+ # used in metametadata and lifecycle
+ elsif ( $tagName eq 'contribute' ) {
+ if ( $self->{ _insideMetametadata } == 1 ) {
+ my $ob = {
+ role => $self->{ lomMetametadataContributeRole } || undef,
+ centities => $self->{ lomMetametadataContributeCentity } || undef,
+ date => $self->{ lomMetametadataContributeDate } || undef
+ };
+ push( @{ $self->{ lomMetametadataContribute } }, $ob );
+ $self->{ lomMetametadataContributeDate } = undef;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ my $ob = {
+ role => $self->{ lomLifecycleContributeRole } || undef,
+ centities => $self->{ lomLifecycleContributeCentity } || undef
+ };
+ push( @{ $self->{ lomLifecycleContribute } }, $ob );
+ }
+ $self->{ _insideContribute } = 0;
+ }
+ elsif ( $tagName eq 'role') {
+ if ( $self->{ _insideMetametadata } == 1 ) {
+ my $ob = {
+ source => $self->{ lomMetametadataContributeRoleSource } || undef,
+ value => $self->{ lomMetametadataContributeRoleValue } || undef
+ };
+ $self->{ lomMetametadataContributeRole } = $ob ;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ my $ob = {
+ source => $self->{ lomLifecycleContributeRoleSource } || undef,
+ value => $self->{ lomLifecycleContributeRoleValue } || undef
+ };
+ $self->{ lomLifecycleContributeRole } = $ob ;
+ }
+ $self->{ _insideRole } = 0;
+ }
+ elsif ( $tagName eq 'centity') {
+ if ( $self->{ _insideMetametadata } == 1 ) {
+ my $ob = {
+ vcard => $self->{ vcard } || undef
+ };
+ push( @{ $self->{ lomMetametadataContributeCentity } }, $ob );
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ my $ob = {
+ vcard => $self->{ vcard } || undef
+ };
+ push( @{$self->{ lomLifecycleContributeCentity } }, $ob );
+ }
+ $self->{ _insideCentity } = 0;
+ $self->{ vcard } = '';
+ }
+ elsif ( $tagName eq 'date') {
+ if ( $self->{ _insideDate } ) {
+ my $ob = {
+ datetime => $self->{ datetime } || undef,
+ description => $self->{ lomDateDescription } || undef
+ };
+ $self->{ lomMetametadataContributeDate } = $ob ;
+ }
+ $self->{ _insideDate } = 0;
+ $self->{ datetime } = $self->{ lomDateDescription } = '';
+ }
+ elsif ( $tagName eq 'version') {
+ # a new implementation style - is it working?
+ $self->version($self->{ langstring });
+ $self->{ _insideVersion } = 0;
+ $self->{ langstring } = '';
+ }
+ elsif ( $tagName eq 'vcard' ) {
+ $self->{ _insideVcard } = 0;
+ }
+ elsif ( $tagName eq 'language' ) {
+ push( @{$self->{ languages } }, $self->{ language } );
+ $self->{ _insideLanguage } = 0;
+ $self->{ language } = '';
+ }
+ elsif ( $tagName eq 'datetime' ) {
+ if ( $self->{ _insideLifecycle } == 1 ) {
+ $self->{ lomLifecycleVersionDate } = $self->{ datetime } || undef;
+ }
+ $self->{ datetime } = '';
+ $self->{ _insideDatetime } = 0;
+ }
+ elsif ( $tagName eq 'format' ) {
+ $self->{ _insideFormat } = 0;
+ }
+ elsif ( $tagName eq 'id' ) {
+ $self->{ _insideId } = 0;
+ }
+ elsif ( $tagName eq 'metadata' ) {
+ delete $self->{ _insideMetadata };;
+ delete $self->{ _tagStack };
+ delete $self->{ _insideLom };
+ }
+ else {
+ carp "who am I EE? ($tagName)";
+ #return $self->SUPER::end_element( $element );
+ };
+ #return $self->SUPER::end_element($element) if $self->{ fwdAll };
+}
+
+sub ignorable_whitespace {
+ my ( $self, $characters ) = @_;
+ return $self->SUPER::ignorable_whitespace( $characters ) if $self->{ _insideLom };
+}
+
+
+sub characters {
+ my ( $self, $characters ) = @_;
+ $self->{ $self->{ _tagStack }[-1] } .= $characters->{ Data } if $self->{ _insideLom };
+}
+
+1;
diff --git a/oeaplatform/metaharvest/perl/lib/OAI_LOM_invenio.pm b/oeaplatform/metaharvest/perl/lib/OAI_LOM_invenio.pm
new file mode 100644
index 0000000000000000000000000000000000000000..12ecd90bfb4cd0f35a3167e8596664fcd01768dc
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/lib/OAI_LOM_invenio.pm
@@ -0,0 +1,941 @@
+package OAI_LOM_invenio;
+
+use strict;
+use warnings;
+use base qw( XML::SAX::Base );
+use Carp qw( carp );
+use Data::Dumper;
+our $VERSION = "0.1";
+
+use constant {
+ XMLNS_DC => 'http://purl.org/dc/elements/1.1/',
+ XMLNS_OAIDC => 'http://www.openarchives.org/OAI/2.0/oai_dc/',
+
+ XMLNS_LOM_de => 'http://purl.org/dc/elements/1.1/',
+ XMLNS_OAI_LOM_de => 'https://www.oerbw.de/hsoerlom',
+ DEFAULT_LANGUAGE => ['de'],
+};
+
+# general lifecycle metametadata technical educational rights classification relation annotation catalog
+our @OAI_LOM_ELEMENTS_FIRST_ORDER = qw(
+ technical
+ );
+
+our @OAI_LOM_ELEMENTS_TECHNICAL_LEAF = qw(
+ format
+ size
+ location
+ );
+#########
+## taxonpath aggregationlevel
+##
+## origin at zoer: taxonPath aggregationLevel
+#########
+
+# our $AUTOLOAD;
+
+sub new {
+ my ( $class, %opts ) = @_;
+ my $self = bless \%opts, ref( $class ) || $class;
+ $self->{ format } = $self->{ size } = $self->{ location } = '';
+ $self->{ id } = $self->{ entry } = $self->{ vcard } = '';
+ $self->{ title } = $self->{ description } = $self->{ catalog } = $self->{ entry } = $self->{ language } = '';
+ $self->{ identifier } = [];
+ $self->{ keyword } = [];
+ $self->{ _tagStack } = [];
+ $self->{ langstring } = undef;
+ $self->{ source } = $self->{ value } = '';
+ $self->{ _insideMetadata } = 0;
+ $self->{ _insideLom } = $self->{ _insideGeneral } = $self->{ _insideLifecycle } =
+ $self->{ _insideMetaMetadata } = $self->{ _insideTechnical } =
+ $self->{ _insideEducational } = $self->{ _insideRights } =
+ $self->{ _insideClassification } = $self->{ _insideClassificationPurpose } = $self->{ _insideStatus } = 0;
+ $self->{ _insideDescription } = $self->{ _insideTitle } = $self->{ _insideAggregationLevel } = $self->{ _insideRole } = $self->{ _insideMetametadata } = 0;
+ $self->{ _insideLearningResourceType } = $self->{ _insideCopyrightandotherrestrictions } = $self->{ _insideTaxon } = 0;
+ return( $self );
+}
+
+# sub new {
+# my ( $class, %opts ) = @_;
+# my $self = bless \%opts, ref( $class ) || $class;
+# # foreach ( @OAI_LOM_ELEMENTS_FIRST_ORDER ) {
+# foreach ( @OAI_LOM_ELEMENTS_LEAF ) {
+# $self->{ $_ } = [];
+# }
+# return( $self );
+#}
+
+
+## rather than right all the accessors we use AUTOLOAD to catch calls
+## valid element names as methods, and return appropriately as a list
+
+#sub AUTOLOAD {
+# my $self = shift;
+# my $sub = lc( $AUTOLOAD );
+# $sub =~ s/.*:://;
+# # if ( grep /$sub/, @OAI_LOM_ELEMENTS_FIRST_ORDER ) {
+# if ( grep /$sub/, @OAI_LOM_ELEMENTS_LEAF ) {
+# if ( wantarray() ) {
+# return( @{ $self->{ $sub } } );
+# } else {
+# return( $self->{ $sub }[0] );
+# }
+# }
+#}
+sub format {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ format } = $element; }
+ return( $self->{ format } );
+}
+
+sub size {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ size } = $element; }
+ return( $self->{ size } );
+}
+
+sub location {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ location } = $element; }
+ return( $self->{ location } );
+}
+
+sub title {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ title } = $element; }
+ return( $self->{ title } );
+}
+
+sub description {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ description } = $element; }
+ return( $self->{ description } );
+}
+
+sub version {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ version } = $element; }
+ return( $self->{ version } );
+}
+
+sub vcard {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ vcard } = $element; }
+ return( $self->{ vcard } );
+}
+
+sub datetime {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ datetime } = $element; }
+ return( $self->{ datetime } );
+}
+
+#sub identifier {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ identifier } = $element; }
+# return( $self->{ identifier } );
+#}
+
+#sub catalog {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ catalog } = $element; }
+# return( $self->{ catalog } );
+#}
+
+# sub entry {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ entry } = $element; }
+# return( $self->{ entry } );
+#}
+
+# sub keyword {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ keyword } = $element; }
+# return( $self->{ keyword } );
+#}
+
+#sub langstring {
+# my ( $self, $element ) = @_;
+# if ( $element ) { $self->{ langstring } = $element; }
+# return( $self->{ langstring } );
+# # return( @{ $self->{ langstring } } );
+#}
+
+sub lomGeneral {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomGeneral } = $element; }
+ return( $self->{ lomGeneral } );
+}
+sub lomLifecycle {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomLifecycle } = $element; }
+ return( $self->{ lomLifecycle } );
+}
+sub lomMetametadata {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomMetametadata } = $element; }
+ return( $self->{ lomMetametadata } );
+}
+sub lomTechnical {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomTechnical } = $element; }
+ return( $self->{ lomTechnical } );
+}
+sub lomEducational {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomEducational } = $element; }
+ return( $self->{ lomEducational } );
+}
+sub lomRights {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomRights } = $element; }
+ return( $self->{ lomRights } );
+}
+
+sub lomClassification {
+ my ( $self, $element ) = @_;
+ if ( $element ) { $self->{ lomClassification } = $element; }
+ return( $self->{ lomClassification } );
+}
+
+sub lom {
+ my ( $self ) = @_;
+ my $lom = {
+ general => $self->lomGeneral(),
+ lifecycle => $self->lomLifecycle(),
+ metametadata => $self->lomMetametadata(),
+ technical => $self->lomTechnical(),
+ educational => $self->lomEducational(),
+ rights => $self->lomRights(),
+ classification => $self->lomClassification(),
+ };
+ return( $lom );
+}
+
+sub trim {
+ my ( $txt ) = @_;
+ $txt =~ s/^\s+|\s+$|\R//g;
+ return( $txt );
+}
+
+sub today {
+ my ($sec,$min,$hour,$mday,$mon,$year,$wday,$yday,$isdst)=localtime(time);
+ my $nice_timestamp = sprintf ( "%04d%-02d-%02d", $year+1900,$mon+1,$mday);
+ return $nice_timestamp;
+}
+
+## SAX handlers
+sub start_element {
+ my ( $self, $element ) = @_;
+ my $xml_lang = '{http://www.w3.org/XML/1998/namespace}lang';
+ #unless ( $element->{ NamespaceURI } eq XMLNS_OAI_LOM_de ) {
+ # $self->SUPER::start_element($element) if $self->{ fwdAll } or $self->{ _insideMetadata };
+ # return;
+ #}
+
+ my $tagName = $element->{ LocalName };
+ push( @{$self->{ _tagStack }}, $tagName );
+ if ( $tagName eq 'metadata' ) {
+ $self->{ _insideMetadata } = 1;
+ }
+ elsif ( $tagName eq 'lom' ) {
+ $self->{ _insideLom } = 1;
+ }
+ elsif ( $tagName eq 'about' ) {
+ $self->{ _insideAbout } = 0;
+ }
+ ##### General #####
+ elsif ( $tagName eq 'general') {
+ delete $self->{ langstringArray };
+ delete $self->{ languages };
+ $self->{ _insideGeneral } = 1;
+ }
+ elsif ( $tagName eq 'title') {
+ delete $self->{ langstringArray };
+ $self->{ _insideTitle } = 1;
+ }
+ elsif ( $tagName eq 'language') {
+ $self->{ _insideLanguage } = 1;
+ }
+ elsif ( $tagName eq 'identifier') {
+ $self->{ _insideIdentifier } = 1;
+ }
+ elsif ( $tagName eq 'catalog') {
+ $self->{ _insideCatalog } = 1;
+ }
+
+ elsif ( $tagName eq 'keyword') {
+ $self->{ _insideEntry } = 1;
+ }
+ elsif ( $tagName eq 'aggregationlevel') {
+ $self->{ _insideAggregationLevel } = 1;
+ }
+
+ ##### Lifecycle #####
+ elsif ( $tagName eq 'lifecycle') {
+ delete $self->{ langstringArray };
+ $self->{ _insideLifecycle } = 1;
+ }
+ elsif ( $tagName eq 'version') {
+ $self->{ _insideVersion } = 1;
+ }
+ elsif ( $tagName eq 'status') {
+ $self->{ _insideStatus } = 1;
+ }
+
+ ##### Metametadata #####
+ elsif ( $tagName eq 'metametadata') {
+ delete $self->{ langstringArray };
+ $self->{ _insideMetametadata } = 1;
+ }
+ elsif ( $tagName eq 'contribute') {
+ delete $self->{ lomMetametadataContributeEntity };
+ delete $self->{ lomLifecycleContributeEntity };
+ delete $self->{ lomMetametadataContributeCentity };
+ delete $self->{ lomLifecycleContributeCentity };
+ $self->{ _insideContribute } = 1;
+ }
+
+ ##### Technical #####
+ elsif ( $tagName eq 'technical') {
+ delete $self->{ langstringArray };
+ $self->{ _insideTechnical } = 1;
+ }
+ elsif ( $tagName eq 'format') {
+ $self->{ _insideFormat } = 1;
+ }
+ elsif ( $tagName eq 'size') {
+ $self->{ _insideSize } = 1;
+ }
+ elsif ( $tagName eq 'location') {
+ $self->{ _insideLocation } = 1;
+ }
+ elsif ( $tagName eq 'duration' ) {
+ $self->{ _insideDuration } = 1;
+ }
+ # non standard element
+ elsif ( $tagName eq 'thumbnail' ) {
+ $self->{ _insideThumbnail } = 1;
+ }
+ # non standard element: description of the thumbnail
+ elsif ( $tagName eq 'licenses' ) {
+ $self->{ _insideLicenses } = 1;
+ }
+
+ ##### Educational #####
+ elsif ( $tagName eq 'educational') {
+ delete $self->{ langstringArray };
+ delete $self->{ lomEducationalLearningResourceType }; # since change to hash a delete it here
+ $self->{ _insideEducational } = 1;
+ }
+ elsif ( $tagName eq 'learningresourcetype') {
+ $self->{ _insideLearningResourceType } = 1;
+ delete $self->{ langstringArray } ; # here delete is a must
+ $self->{ langstring } = '';
+ }
+
+ ##### Rights #####
+ elsif ( $tagName eq 'rights') {
+ delete $self->{ langstringArray };
+ $self->{ _insideRights } = 1;
+ }
+ elsif ( $tagName eq 'copyrightandotherrestrictions') {
+ $self->{ _insideCopyrightandotherrestrictions } = 1;
+ }
+
+ ##### Classification #####
+ # the IEEE allows multiple classification and UIBK will use two #
+ elsif ( $tagName eq 'classification') {
+ delete $self->{ langstringArray };
+ $self->{ _insideClassification } = 1;
+ }
+ elsif ( $tagName eq 'purpose') {
+ $self->{ _insidePurpose } = 1;
+ }
+ elsif ( $tagName eq 'taxonpath') {
+ delete $self->{ lomClassificationTaxonpath };
+ delete $self->{ lomClassificationTaxonpathTaxon };
+ $self->{ _insideTaxonpath } = 1;
+ }
+ elsif ( $tagName eq 'taxon') {
+ delete $self->{ langstringArray };
+ $self->{ _insideTaxon } = 1;
+ }
+
+ ##### used in several Elements #####
+ elsif ( $tagName eq 'langstring' ) {
+ if ( $element->{ Attributes }{ $xml_lang }{ Value } ) {
+ $self->{ _lang } = $element->{ Attributes }{ $xml_lang }{ Value };
+ $self->{ chars } = "";
+ }
+ $self->{ _insideLangstring } = 1;
+ }
+ elsif ( $tagName eq 'source') {
+ $self->{ _insideSource } = 1;
+ }
+ elsif ( $tagName eq 'value') {
+ $self->{ _insideValue } = 1;
+ }
+ elsif ( $tagName eq 'entry') {
+ delete $self->{ langstringArray };
+ $self->{ _insideEntry } = 1;
+ }
+ elsif ( $tagName eq 'description') {
+ delete $self->{ langstringArray };
+ $self->{ _insideDescription } = 1;
+ }
+ elsif ( $tagName eq 'role') {
+ $self->{ _insideRole } = 1;
+ }
+ # old without vcard
+ elsif ( $tagName eq 'entity') {
+ $self->{ _insideEntity } = 1;
+ }
+ elsif ( $tagName eq 'centity') {
+ $self->{ _insideCentity } = 1;
+ }
+ elsif ( $tagName eq 'vcard') {
+ $self->{ _insideVcard } = 1;
+ }
+ elsif ( $tagName eq 'date') {
+ $self->{ _insideDate } = 1;
+ }
+ elsif ( $tagName eq 'datetime') {
+ $self->{ _insideDatetime } = 1;
+ }
+ elsif ( $tagName eq 'id') {
+ $self->{ id } = '';
+ $self->{ _insideId } = 1;
+ }
+ # non standard element: location of the thumbnail, licenses for thumbnail
+ elsif ( $tagName eq 'url' ) {
+ $self->{ url } = '';
+ $self->{ _insideUrl } = 1;
+ }
+ else {
+ carp "who am I SE? ($tagName)";
+ #return $self->SUPER::start_element($element);
+ };
+ #return $self->SUPER::start_element($element) if $self->{ fwdAll };
+}
+
+sub end_element {
+ my ( $self, $element ) = @_;
+ # unless ( $element->{ NamespaceURI } eq XMLNS_OAI_LOM_de ) {
+ # $self->SUPER::end_element($element) if $self->{ fwdAll } or $self->{ _insideMetadata };
+ # return;
+ #}
+
+ pop( @{$self->{ _tagStack }} );
+ my $tagName = $element->{ LocalName };
+ if ( $tagName eq 'metadata' ) {
+ $self->{ _insideMetadata } = 0;
+ delete $self->{ _insideLom };
+ }
+ elsif ( $tagName eq 'lom' ) {
+ $self->{ _insideLom } = 0;
+ delete $self->{ _insideGeneral };
+ delete $self->{ _insideLifecycle };
+ delete $self->{ _insideMetametadata };
+ delete $self->{ _insideTechnical };
+ delete $self->{ _insideEducational };
+ delete $self->{ _insideRights };
+ delete $self->{ _insideClassification };
+ # General
+ delete $self->{ _insideTitle };
+ delete $self->{ _insideDescription };
+ # Metametadata
+ delete $self->{ _insideMetaMetadata };
+ # Technical
+ delete $self->{ _insideFormat };
+ delete $self->{ _insideSize };
+ delete $self->{ _insideLocation };
+
+ delete $self->{ _insideVcard };
+ delete $self->{ _insideId };
+ delete $self->{ _insideLanguage };
+ delete $self->{ _insideVersion };
+ delete $self->{ _insideEntry };
+ delete $self->{ _insideContribute };
+ delete $self->{ _insideDate };
+ delete $self->{ _insideKeyword };
+ delete $self->{ _insideSource };
+ delete $self->{ _insideDatetime };
+
+ delete $self->{ _insideLangstring };
+ delete $self->{ _insideAggregationLevel };
+ delete $self->{ _insideCopyrightandotherrestrictions };
+ delete $self->{ _insideIdentifier };
+ delete $self->{ _insideLearningResourceType };
+ delete $self->{ _insideEntity };
+ delete $self->{ _insideCentity };
+ delete $self->{ _insideStatus };
+ delete $self->{ _insideCatalog };
+ delete $self->{ _insideValue };
+ delete $self->{ _insideRole };
+ delete $self->{ _lang };
+ }
+ ##### General #####
+ elsif ( $tagName eq 'general') {
+ # carp 'end_element in general';
+ # $self->{ _insideGeneral } = 0;
+ my $ob = {
+ title => $self->{ lomGeneralTitle } || undef,
+ description => $self->{ lomGeneralDescription } || undef,
+ identifiers => $self->{ lomGeneralIdentifiers } || undef,
+ # keywords => $self->{ lomGeneralKeywords } || undef, # needs to set to undef in general because of x-none vs de vs en which cause an error
+ keywords => undef,
+ language => $self->{ languages } || DEFAULT_LANGUAGE,
+ aggregationLevel => $self->{ lomGeneralAggregationLevel } || undef,
+ };
+ $self->{ lomGeneral } = $ob;
+ $self->{ _insideGeneral } = 0;
+ }
+ elsif ( $tagName eq 'title' ) {
+ if ( $self->{ langstringArray } ) {
+ $self->{ lomGeneralTitle } = $self->{ langstringArray };
+ delete $self->{ langstringArray };
+ } else {
+ push( @{ $self->{ lomGeneralTitle } }, $self->{ langstring } );
+ }
+ $self->{ _insideTitle } = 0;
+ $self->{ langstring } = '';
+ }
+
+ elsif ( $tagName eq 'identifier') {
+ my $ent = $self->{ entry };
+ if ( $self->{ langstring } ne '' ) {
+ $ent = $self->{ langstring };
+ $self->{ langstring } = '';
+ }
+ my $ob = {
+ catalog => $self->{ catalog } || undef,
+ entry => trim( $ent )
+ };
+ push( @{ $self->{ lomGeneralIdentifiers } }, $ob );
+ $self->{ _insideIdentifier } = 0;
+ $self->{ catalog } = '';
+ }
+ elsif ( $tagName eq 'catalog') {
+ # $self->{ _insideCatalog } = 0;
+ }
+
+ elsif ( $tagName eq 'keyword') {
+ if ( $self->{ langstringArray } ) {
+ $self->{ lomGeneralKeywords } = $self->{ langstringArray };
+ } else {
+ push( @{ $self->{ lomGeneralKeywords } }, $self->{ langstring } );
+ }
+ $self->{ _insideKeyword } = 0;
+ $self->{ langstring } = '';
+ }
+ elsif ( $tagName eq 'aggregationlevel') {
+ my $ob = {
+ source => $self->{ lomGeneralAggregationLevelSource } || undef,
+ value => $self->{ lomGeneralAggregationLevelValue } || undef
+ };
+ $self->{ lomGeneralAggregationLevel } = $ob ;
+ $self->{ _insideAggregationLevel } = 0;
+ }
+
+ ##### Lifecycle #####
+ elsif ( $tagName eq 'lifecycle' ) {
+ my $ob = {
+ version => $self->version() || undef,
+ versionDate => $self->{ lomLifecycleVersionDate } || undef,
+ status => $self->{ lomLifecycleStatus } || undef,
+ contributes => $self->{ lomLifecycleContribute }
+ };
+ $self->{ lomLifecycle } = $ob;
+ $self->{ _insideLifecycle } = 0;
+ }
+ elsif ( $tagName eq 'status') {
+ my $ob = {
+ source => $self->{ lomLifecycleStatusSource } || undef,
+ value => $self->{ lomLifecycleStatusValue } || undef,
+ };
+ $self->{ lomLifecycleStatus } = $ob ;
+ $self->{ _insideStatus } = 0;
+ }
+
+ ##### Metametadata #####
+ elsif ( $tagName eq 'metametadata' ) {
+ my $ob = {
+ contributors => $self->{ lomMetametadataContribute }
+ };
+ $self->{ lomMetametadata } = $ob;
+ $self->{ _insideMetametadata } = 0;
+ }
+
+ ##### Technical #####
+ elsif ( $tagName eq 'technical' ) {
+ my $ob = {
+ format => $self->{ format } || 'iMooX',
+ size => $self->{ size } || undef,
+ location => $self->{ location } || undef,
+ duration => $self->{ lomTechnicalDuration } || undef,
+ otherplatformrequirements => $self->{ otherplatformrequirements } || undef,
+ thumbnail => $self->{ lomTechnicalThumbnail } || undef,
+ };
+ $self->{ lomTechnical } = $ob;
+ $self->{ _insideTechnical } = 0;
+ }
+ elsif ( $tagName eq 'format ') {
+ $self->{ _insideFormat } = 0;
+ }
+ elsif ( $tagName eq 'size' ) {
+ $self->{ _insideSize } = 0;
+ }
+ elsif ( $tagName eq 'location' ) {
+ $self->{ _insideLocation } = 0;
+ }
+ elsif ( $tagName eq 'duration' ) {
+
+ if ( $self->{ _insideDuration } ) {
+ my $ob = {
+ datetime => $self->{ datetime } || undef,
+ description => $self->{ lomDurationDescription } || undef
+ };
+ $self->{ lomTechnicalDuration } = $ob ;
+ }
+ $self->{ datetime } = $self->{ lomDurationDescription } = '';
+ $self->{ _insideDuration } = 0;
+ }
+ # non standard element
+ elsif ( $tagName eq 'thumbnail' ) {
+ my $ob = {
+ url => $self->{ lomTechnicalThumbnailUrl } || undef,
+ description => $self->{ lomTechnicalThumbnailDescription } || undef,
+ licenses => $self->{ lomTechnicalThumbnailLicenses } || undef
+ };
+ $self->{ lomTechnicalThumbnail } = $ob;
+ $self->{ _insideThumbnail } = 0;
+ }
+ # non standard element: location of the thumbnail
+ elsif ( $tagName eq 'url' ) {
+ if (( $self->{ _insideThumbnail } == 1 ) && ( $self->{ _insideLicenses } == 0 )) {
+ $self->{ lomTechnicalThumbnailUrl } = $self->{ url };
+ $self->{ url } = '';
+ }
+ if ( $self->{ _insideLicenses } == 1 ) {
+ $self->{ lomTechnicalThumbnailLicensesUrl } = $self->{ url };
+ $self->{ url } = '';
+ }
+ $self->{ _insideUrl } = 0;
+ }
+ # non standard element: description of the thumbnail
+ elsif ( $tagName eq 'licenses' ) {
+ my $ob = {
+ url => $self->{ lomTechnicalThumbnailLicensesUrl } || undef,
+ id => $self->{ id } || undef,
+ name => $self->{ name } || undef
+ };
+ $self->{ lomTechnicalThumbnailLicenses } = $ob;
+ $self->{ url } = $self->{ id } = $self->{ name } = '';
+ $self->{ _insideLicenses } = 0;
+ }
+
+ ##### Educational #####
+ elsif ( $tagName eq 'educational' ) {
+ my $ob = {
+ learningResourceType => $self->{ lomEducationalLearningResourceType } || undef,
+ description => $self->{ lomEducationalDescription } || undef,
+ };
+ $self->{ lomEducational } = $ob;
+ $self->{ _insideEducational } = 0;
+ }
+ elsif ( $tagName eq 'learningresourcetype') {
+ my $ob = {
+ source => $self->{ lomEducationalLearningResourceTypeSource } || undef,
+ id => $self->{ id } || undef,
+ entry => $self->{ lomEducationalLearningResourceTypeEntry } || undef,
+ };
+ push( @{ $self->{ lomEducationalLearningResourceType } }, $ob );
+ # $self->{ lomEducationalLearningResourceType } = $ob ;# not just a single object, use hash instead
+ $self->{ _insideLearningResourceType } = 0;
+ }
+
+ ##### Rights #####
+ elsif ( $tagName eq 'rights' ) {
+ my $ob = {
+ copyrightandotherrestrictions => $self->{ lomRightsCopyrightandotherrestrictions } || undef,
+ description => $self->{ lomRightsDescription } || undef,
+ };
+ $self->{ lomRights } = $ob;
+ $self->{ _insideRights } = 0;
+ }
+ elsif ( $tagName eq 'copyrightandotherrestrictions') {
+ my $ob = {
+ source => $self->{ lomRightsCopyrightandotherrestrictionsSource } || undef,
+ value => $self->{ lomRightsCopyrightandotherrestrictionsValue } || undef,
+ };
+ $self->{ lomRightsCopyrightandotherrestrictions } = $ob ;
+ $self->{ _insideCopyrightandotherrestrictions } = 0;
+ }
+
+ ##### Classification #####
+ # IEEE allows multiple classification and UIBK will use two #
+ elsif ( $tagName eq 'classification' ) {
+ my $ob = {
+ purpose => $self->{ lomClassificationPurpose } || undef,
+ taxonPath => $self->{ lomClassificationTaxonpath } || undef,
+ };
+ push( @{ $self->{ lomClassification } }, $ob );
+ $self->{ _insideClassification } = 0;
+ }
+ elsif ( $tagName eq 'purpose' ) {
+ my $ob = {
+ source => $self->{ lomClassificationPurposeSource } || undef,
+ value => $self->{ lomClassificationPurposeValue } || undef,
+ };
+ $self->{ lomClassificationPurpose } = $ob ;
+ $self->{ _insidePurpose } = 0;
+ }
+ elsif ( $tagName eq 'taxonpath' ) {
+ my $ob = {
+ source => $self->{ lomClassificationTaxonpathSource } || undef,
+ taxon => $self->{ lomClassificationTaxonpathTaxon } || undef,
+ };
+ push( @{ $self->{ lomClassificationTaxonpath } }, $ob );
+ $self->{ _insideTaxonpath } = 0;
+ }
+ elsif ( $tagName eq 'taxon' ) {
+ my $entry_array = $self->{ lomClassificationTaxonPathTaxonEntry };
+ my $ob = {
+ id => $self->{ id } || undef,
+ entry => $entry_array || undef,
+ };
+ push( @{ $self->{ lomClassificationTaxonpathTaxon } }, $ob );
+ $self->{ _insideTaxon } = 0;
+ }
+
+ ##### Used in some parent Elements ####
+ elsif ( $tagName eq 'langstring' ) {
+ my $xmlLang = $self->{ _lang };
+ my $txt = $self->{ langstring };
+ if ( $self->{ _lang } ) {
+ if (( $self->{ _lang } ne 'x-none' ) and ( $self->{ _lang } ne 'x-t-cc-url' ) and ( $self->{ _lang } ne 'x-t-oefos' ) and ( $self->{ _lang } ne 'x-t-sdg' )) { # o.k. with xml:lang attribute, ignore x-none
+ my $obLang = {
+ $xmlLang => $txt
+ };
+ #$self->{ langstring } = $obLang;
+ push( @{ $self->{ langstringArray } }, $obLang );
+ $self->{ langstring } = '';
+ }
+ }
+ $self->{ _insideLangstring } = 0;
+ }
+ elsif ( $tagName eq 'source' ) {
+ if ( $self->{ _insideAggregationLevel } == 1 ) {
+ $self->{ lomGeneralAggregationLevelSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideLearningResourceType } == 1 ) {
+ $self->{ lomEducationalLearningResourceTypeSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideCopyrightandotherrestrictions } == 1 ) {
+ $self->{ lomRightsCopyrightandotherrestrictionsSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideMetametadata } == 1 ) {
+ $self->{ lomMetametadataContributeRoleSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideStatus } == 1 ) {
+ $self->{ lomLifecycleStatusSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ $self->{ lomLifecycleContributeRoleSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insidePurpose } == 1 ) {
+ $self->{ lomClassificationPurposeSource } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideTaxonpath } == 1 ) {
+ $self->{ lomClassificationTaxonpathSource } = $self->{ langstring } ;
+ }
+ $self->{ _insideSource } = 0;
+ $self->{ langstring } = '';
+ }
+ # used in identifiers or learningResourceTypes
+ elsif ( $tagName eq 'entry') {
+ if ( $self->{ _insideLearningResourceType } == 1 ) {
+ $self->{ lomEducationalLearningResourceTypeEntry } = $self->{ langstringArray };
+ delete $self->{ langstringArray } ;
+ # push( @{ $self->{ lomEducationalLearningResourceTypeEntry } }, $self->{ langstringArray } );
+ }
+ elsif ( $self->{ _insideTaxon } == 1 ) {
+ $self->{ lomClassificationTaxonPathTaxonEntry } = $self->{ langstringArray };
+ delete $self->{ langstringArray } ;
+ }
+ $self->{ _insideEntry } = 0;
+ }
+ elsif ( $tagName eq 'description' ) {
+ if ( $self->{ _insideGeneral } == 1 ) {
+ $self->{ lomGeneralDescription } = $self->{ langstringArray } ;
+ delete $self->{ langstringArray } ;
+ }
+ elsif ( $self->{ _insideEducational } == 1 ) {
+ $self->{ lomEducationalDescription } = $self->{ langstringArray } ;
+ delete $self->{ langstringArray } ;
+ }
+ elsif ( $self->{ _insideRights } == 1 ) {
+ $self->{ lomRightsDescription } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideDate } == 1 ) {
+ $self->{ lomDateDescription } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideDuration } == 1 ) {
+ $self->{ lomDurationDescription } = $self->{ langstring } ;
+ }
+ $self->{ langstring } = '';
+ $self->{ _insideDescription } = 0;
+ }
+ elsif ( $tagName eq 'value' ) {
+ if ( $self->{ _insideAggregationLevel } == 1 ) {
+ $self->{ lomGeneralAggregationLevelValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideCopyrightandotherrestrictions } == 1 ) {
+ $self->{ lomRightsCopyrightandotherrestrictionsValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideMetametadata } == 1 ) {
+ $self->{ lomMetametadataContributeRoleValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideStatus } == 1 ) {
+ $self->{ lomLifecycleStatusValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ $self->{ lomLifecycleContributeRoleValue } = $self->{ langstring } ;
+ }
+ elsif ( $self->{ _insideClassificationPurpose } == 1 ) {
+ $self->{ lomClassificationPurposeValue } = $self->{ langstring } ;
+ }
+ $self->{ _insideValue } = 0;
+ $self->{ langstring } = '';
+ }
+ # used in metametadata and lifecycle
+ elsif ( $tagName eq 'contribute' ) {
+ if ( $self->{ _insideMetametadata } == 1 ) {
+ my $ob = {
+ role => $self->{ lomMetametadataContributeRole } || undef,
+ entities => $self->{ lomMetametadataContributeEntity } || undef,
+ centities => $self->{ lomMetametadataContributeCentity } || undef,
+ date => $self->{ lomMetametadataContributeDate } || undef
+ };
+ push( @{ $self->{ lomMetametadataContribute } }, $ob );
+ $self->{ lomMetametadataContributeDate } = undef;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ my $ob = {
+ role => $self->{ lomLifecycleContributeRole } || undef,
+ entities => $self->{ lomLifecycleContributeEntity } || undef,
+ centities => $self->{ lomLifecycleContributeCentity } || undef
+ };
+ push( @{ $self->{ lomLifecycleContribute } }, $ob );
+ }
+ $self->{ _insideContribute } = 0;
+ }
+ elsif ( $tagName eq 'role') {
+ if ( $self->{ _insideMetametadata } == 1 ) {
+ my $ob = {
+ source => $self->{ lomMetametadataContributeRoleSource } || undef,
+ value => $self->{ lomMetametadataContributeRoleValue } || undef
+ };
+ $self->{ lomMetametadataContributeRole } = $ob ;
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ my $ob = {
+ source => $self->{ lomLifecycleContributeRoleSource } || undef,
+ value => $self->{ lomLifecycleContributeRoleValue } || undef
+ };
+ $self->{ lomLifecycleContributeRole } = $ob ;
+ }
+ $self->{ _insideRole } = 0;
+ }
+ elsif ( $tagName eq 'entity') {
+ if ( $self->{ _insideMetametadata } == 1 ) {
+ # old implmentation did not use vcard
+ push( @{ $self->{ lomMetametadataContributeEntity } }, $self->{ entity } );
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ # old implmentation did not use vcard
+ push( @{ $self->{ lomLifecycleContributeEntity } }, $self->{ entity } );
+ $self->{ vcard } = '';
+ }
+ $self->{ entity } = '';
+ $self->{ _insideEntity } = 0;
+ }
+ elsif ( $tagName eq 'centity') {
+ if ( $self->{ _insideMetametadata } == 1 ) {
+ my $ob = {
+ vcard => $self->{ vcard } || undef
+ };
+ push( @{ $self->{ lomMetametadataContributeCentity } }, $ob );
+ }
+ elsif ( $self->{ _insideLifecycle } == 1 ) {
+ my $ob = {
+ vcard => $self->{ vcard } || undef
+ };
+ push( @{$self->{ lomLifecycleContributeCentity } }, $ob );
+ $self->{ vcard } = '';
+ }
+ $self->{ _insideCentity } = 0;
+ }
+ elsif ( $tagName eq 'date') {
+ if ( $self->{ _insideDate } ) {
+ my $ob = {
+ datetime => $self->{ datetime } || undef,
+ description => $self->{ lomDateDescription } || undef
+ };
+ $self->{ lomMetametadataContributeDate } = $ob ;
+ }
+ $self->{ _insideDate } = 0;
+ $self->{ datetime } = $self->{ lomDateDescription } = '';
+ }
+ elsif ( $tagName eq 'version') {
+ # a new implementation style - is it working?
+ $self->version($self->{ langstring });
+ $self->{ _insideVersion } = 0;
+ $self->{ langstring } = '';
+ }
+ elsif ( $tagName eq 'vcard' ) {
+ $self->{ _insideVcard } = 0;
+ }
+ elsif ( $tagName eq 'language' ) {
+ push( @{$self->{ languages } }, $self->{ language } );
+ $self->{ _insideLanguage } = 0;
+ $self->{ language } = '';
+ }
+ elsif ( $tagName eq 'datetime' ) {
+ if ( $self->{ _insideLifecycle } == 1 ) {
+ $self->{ lomLifecycleVersionDate } = $self->{ datetime } || undef;
+ }
+ $self->{ datetime } = '';
+ $self->{ _insideDatetime } = 0;
+ }
+ elsif ( $tagName eq 'format' ) {
+ $self->{ _insideFormat } = 0;
+ }
+ elsif ( $tagName eq 'id' ) {
+ $self->{ _insideId } = 0;
+ }
+ elsif ( $tagName eq 'metadata' ) {
+ delete $self->{ _insideMetadata };;
+ delete $self->{ _tagStack };
+ delete $self->{ _insideLom };
+ }
+ else {
+ carp "who am I EE? ($tagName)";
+ #return $self->SUPER::end_element( $element );
+ };
+ #return $self->SUPER::end_element($element) if $self->{ fwdAll };
+}
+
+sub ignorable_whitespace {
+ my ( $self, $characters ) = @_;
+ return $self->SUPER::ignorable_whitespace( $characters ) if $self->{ _insideLom };
+}
+
+
+sub characters {
+ my ( $self, $characters ) = @_;
+ $self->{ $self->{ _tagStack }[-1] } .= $characters->{ Data } if $self->{ _insideLom };
+}
+
+1;
diff --git a/oeaplatform/metaharvest/perl/t/00_compile.t b/oeaplatform/metaharvest/perl/t/00_compile.t
new file mode 100755
index 0000000000000000000000000000000000000000..92519229fd2383b76de65f019e5c1580a55c40cf
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/t/00_compile.t
@@ -0,0 +1,42 @@
+#!/usr/bin/env perl
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use FindBin;
+use Test::More;
+
+use utf8;
+
+my $tree = {
+# 'file' => <0:skip|1:test>,
+ 'daemon.pl' => 1,
+ 'lib/App.pm' => 1,
+ 'lib/App/Locker.pm' => 1,
+ 'lib/App/Logger.pm' => 1,
+ 'lib/App/Type/File_JSON.pm' => 1,
+ 'lib/App/Type/HTTP_GET_JSON.pm' => 1,
+ 'lib/App/Type/OAIHarvest_LOM.pm' => 1,
+ 'lib/App/Type/OAIHarvest_DC.pm' => 1,
+ 'lib/App/Type/dummy.pm' => 1,
+};
+my $dir = "$FindBin::Bin/..";
+
+SCRIPT:
+for my $script ( keys %$tree ) {
+ next SCRIPT unless $tree->{ $script };
+ my $file = "$dir/$script";
+ my $res;
+ eval {
+ $res = `perl -c $file 2>&1`;
+ chomp $res;
+ };
+ is( $res, "$file syntax OK", "$file compiled" );
+}
+
+done_testing();
+
+exit(0);
+
diff --git a/oeaplatform/metaharvest/perl/t/01_use.t b/oeaplatform/metaharvest/perl/t/01_use.t
new file mode 100755
index 0000000000000000000000000000000000000000..d75ea7ae9504ff961ea0f9a2314fa71227b0ed64
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/t/01_use.t
@@ -0,0 +1,36 @@
+#!/usr/bin/env perl
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../lib";
+use Test::More;
+
+use utf8;
+
+my $tree;
+
+BEGIN {
+ $tree = {
+ # 'module' => <0:skip|1:test>,
+ 'App' => 1,
+ 'App::Locker' => 1,
+ 'App::Logger' => 1,
+ 'App::Type::File_JSON' => 1,
+ 'App::Type::HTTP_GET_JSON' => 1,
+ 'App::Type::dummy' => 1,
+ };
+ MODULE:
+ for my $module ( keys %$tree ) {
+ next MODULE unless $tree->{ $module };
+ use_ok( $module );
+ }
+}
+
+done_testing();
+
+exit(0);
+
diff --git a/oeaplatform/metaharvest/perl/t/02_can.t b/oeaplatform/metaharvest/perl/t/02_can.t
new file mode 100755
index 0000000000000000000000000000000000000000..dc779e47fc7f42b3e28657288edb422f4dd18483
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/t/02_can.t
@@ -0,0 +1,72 @@
+#!/usr/bin/env perl
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../lib";
+use Test::More;
+
+use utf8;
+
+my $tree;
+
+BEGIN {
+ $tree = {
+ # 'module' => {
+ # 'method' => <0:skip|1:test>,
+ # },
+ 'App' => {
+ '_init' => 1,
+ '_sanity' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ 'App::Locker' => {
+ 'get_lock' => 1,
+ 'release_lock' => 1,
+ },
+ 'App::Logger' => {
+ '_init' => 1,
+ '_write' => 1,
+ 'new' => 1,
+ },
+ 'App::Type::File_JSON' => {
+ '_init' => 1,
+ '_slurp' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ 'App::Type::HTTP_GET_JSON' => {
+ '_init' => 1,
+ '_slurp' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ 'App::Type::dummy' => {
+ '_init' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ };
+ MODULE:
+ for my $module ( keys %$tree ) {
+ use_ok( $module );
+ }
+}
+
+MODULE:
+for my $module ( keys %$tree ) {
+ METHOD:
+ for my $method ( keys %{$tree->{ $module }} ) {
+ next METHOD unless $tree->{ $module }->{ $method };
+ can_ok( $module, $method );
+ }
+}
+
+done_testing();
+
+exit(0);
+
diff --git a/oeaplatform/metaharvest/perl/t/run.sh b/oeaplatform/metaharvest/perl/t/run.sh
new file mode 100755
index 0000000000000000000000000000000000000000..11f43799ee5cd47bcee4c35c1193bc2863d7fbc2
--- /dev/null
+++ b/oeaplatform/metaharvest/perl/t/run.sh
@@ -0,0 +1,10 @@
+#!/bin/bash
+
+## settings_begin
+DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )
+## settings_end
+
+prove $DIR
+
+exit 0
+
diff --git a/oeaplatform/metaingest/Dockerfile b/oeaplatform/metaingest/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..501414ffc1f5d936968d3d108defcb181a47c08d
--- /dev/null
+++ b/oeaplatform/metaingest/Dockerfile
@@ -0,0 +1,145 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION=1.0.0 \
+ APP_PERL_VERSION=5.40.1
+# Remark DOCKER_REG has to end with / if specified
+
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS osbase
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && apt-get -y install tzdata
+
+FROM osbase AS perlbuilder
+ARG APP_PERL_VERSION
+## install
+# necessities: curl, build-essential, perl (perl is part of jammy)
+RUN apt-get update && apt-get -y install curl build-essential libexpat1 unminimize
+RUN yes | unminimize
+# user
+RUN groupadd -r -g 9000 perl && useradd -r -u 9000 -g 9000 --create-home perl
+WORKDIR /home/perl
+USER perl
+# perlbrew
+RUN curl -L https://install.perlbrew.pl | bash
+ENV PATH=/home/perl/perl5/perlbrew/bin:$PATH
+ENV PERLBREW_PATH=/home/perl/perl5/perlbrew/bin
+ENV PERLBREW_ROOT=/home/perl/perl5/perlbrew
+ENV PERLBREW_HOME=/home/perl/.perlbrew
+ENV PERL_MM_USE_DEFAULT=1
+# perl
+ENV PERLBREW_PERL=perl-${APP_PERL_VERSION}
+RUN perlbrew init
+RUN perlbrew --noman install -j 2 $PERLBREW_PERL
+ENV PATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/bin:$PATH
+ENV PERLBREW_MANPATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/man
+ENV PERLBREW_SKIP_INIT=1
+
+## remove
+USER root
+RUN apt-get remove --purge -y build-essential curl \
+ && rm -rfv /var/lib/apt/lists/* \
+ && rm -rfv /home/perl/perl5/perlbrew/build/* \
+ && rm -rfv /home/perl/perl5/perlbrew/dists/*
+
+FROM osbase AS perl
+ARG APP_PERL_VERSION
+## install
+# necessities: curl build-essential (for perlbrew)
+RUN apt-get update && apt-get -y install curl build-essential libexpat1
+# user
+RUN groupadd -r -g 9000 perl && useradd -r -u 9000 -g 9000 --create-home perl
+WORKDIR /home/perl
+USER perl
+# perlbrew
+RUN curl -L https://install.perlbrew.pl | bash
+ENV PATH=/home/perl/perl5/perlbrew/bin:$PATH
+ENV PERLBREW_PATH=/home/perl/perl5/perlbrew/bin
+ENV PERLBREW_ROOT=/home/perl/perl5/perlbrew
+ENV PERLBREW_HOME=/home/perl/.perlbrew
+ENV PERL_MM_USE_DEFAULT=1
+# perl
+ENV PERLBREW_PERL=perl-${APP_PERL_VERSION}
+COPY --from=perlbuilder /home/perl/perl5/perlbrew/perls /home/perl/perl5/perlbrew/perls
+ENV PATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/bin:$PATH
+ENV PERLBREW_MANPATH=/home/perl/perl5/perlbrew/perls/$PERLBREW_PERL/man
+ENV PERLBREW_SKIP_INIT=1
+
+## config
+# perl
+USER root
+RUN chown -R perl:perl /home/perl/perl5/perlbrew/perls
+
+## remove
+RUN apt-get remove --purge -y curl \
+ && rm -rfv /var/lib/apt/lists/*
+
+FROM perl AS metaingestbuilder
+ARG APP_PERL_VERSION
+
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+
+## install
+# necessities: curl, build-essential, enable cpanm LWP::Protocol::https
+RUN apt-get update && apt-get -y install curl build-essential libssl-dev zlib1g-dev librabbitmq-dev libexpat1-dev unminimize
+RUN yes | unminimize
+# cpanm
+USER perl
+RUN perlbrew install-cpanm
+# CPAN
+RUN cpanm JSON::XS
+RUN cpanm LWP::Protocol::https
+RUN cpanm LWP::Simple
+RUN cpanm List::MoreUtils
+# RabbitMQ tests are running against unavailable Systems
+RUN cpanm --notest Net::AMQP::RabbitMQ
+RUN cpanm Test::More
+RUN cpanm Text::CSV_XS
+RUN cpanm YAML::Syck
+
+## remove
+USER root
+RUN apt-get remove --purge -y libexpat1-dev librabbitmq-dev zlib1g-dev libssl-dev build-essential curl \
+ && rm -rfv /var/lib/apt/lists/*
+
+FROM perl AS metaingest
+ARG OS_RELEASE \
+ APP_VERSION \
+ OC_CREATED
+LABEL org.opencontainers.image.title=metaingest \
+ org.opencontainers.image.vendor=UniVie \
+ org.opencontainers.image.authors=pt \
+ org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE} \
+ org.opencontainers.image.created=${OC_CREATED}
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+
+## install
+# perl
+COPY --from=metaingestbuilder /home/perl/perl5/perlbrew/perls /home/perl/perl5/perlbrew/perls
+
+## config
+# perl
+RUN chown -R perl:perl /home/perl/perl5/perlbrew/perls
+
+## app
+# metaingest
+USER perl
+COPY perl /home/perl/metaingest
+ENV PATH=/home/perl/metaingest:$PATH
+
+USER root
+RUN chown -R perl:perl /home/perl/metaingest
+RUN chmod -R 775 /home/perl/metaingest
+
+USER perl
+## host storage
+VOLUME /home/perl/metaingest/log
+
+## run
+CMD ["daemon.pl"]
diff --git a/oeaplatform/metaingest/perl/.gitignore b/oeaplatform/metaingest/perl/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..43aee7608b442ebae0cc53cde5645884f979d048
--- /dev/null
+++ b/oeaplatform/metaingest/perl/.gitignore
@@ -0,0 +1,2 @@
+# visual studio
+.vscode/
diff --git a/oeaplatform/metaingest/perl/daemon.pl b/oeaplatform/metaingest/perl/daemon.pl
new file mode 100755
index 0000000000000000000000000000000000000000..2d7644be2141fe1ee8cfb5b5d91ffe303224d4cb
--- /dev/null
+++ b/oeaplatform/metaingest/perl/daemon.pl
@@ -0,0 +1,119 @@
+#!/usr/bin/env perl
+
+# receive messages from queues
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use YAML::Syck;
+use FindBin;
+use lib "$FindBin::Bin/lib";
+use App::Logger;
+use App;
+use Time::HiRes qw/sleep/;
+
+# config
+my $daemon = YAML::Syck::LoadFile("$FindBin::Bin/etc/daemon/config.yml");
+
+# settings
+$Data::Dumper::Indent = 2;
+
+# logger
+my $logger = App::Logger->new(
+ file => $FindBin::Bin.'/'.$daemon->{ctrl}->{log}->{path}.'/'.$daemon->{ctrl}->{log}->{filename},
+ debug => defined $daemon->{ctrl}->{debug} ? $daemon->{ctrl}->{debug} : 1,
+ verbosity => defined $daemon->{ctrl}->{verbosity} ? $daemon->{ctrl}->{verbosity} : 2,
+);
+
+$logger->info('start');
+
+# control
+$main::term = 0;
+my $sig_term = sub { $main::term = 1; };
+local $SIG{INT} = $sig_term;
+local $SIG{TERM} = $sig_term;
+
+eval {
+
+ # settings
+ my $sleep = $daemon->{ctrl}->{sleep} || 10;
+ my $dryrun = defined $daemon->{ctrl}->{dryrun} ? $daemon->{ctrl}->{dryrun} : 0;
+
+ $logger->debug("daemon ctrl sleep |$sleep|");
+ $logger->debug("daemon ctrl dryrun |$dryrun|");
+
+ LOOP:
+ while ( !$main::term ) {
+
+ $logger->info('alive and looping', 2);
+
+ # config
+ my $payload = YAML::Syck::LoadFile("$FindBin::Bin/etc/queues/payload.yml");
+
+ $logger->info('start processing', 1);
+
+ # ctrl config
+ my $ctrl = $payload->{ctrl};
+ $logger->debug('ctrl ' . Dumper( $ctrl ) );
+
+ # queues config
+ my $queues = $payload->{queues};
+ $logger->debug('queues ' . Dumper( $queues ) );
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 0;
+
+ # new App for queues
+ $logger->info('app App->new', 2);
+ my $app = App->new(
+ ctrl => $ctrl,
+ queues => $queues,
+ );
+
+ # workout queues
+ unless ( $dryrun ) {
+ $logger->info('app start', 1);
+ my $ret = $app->run();
+ if ( $ret ) {
+ $logger->info('app error', 1);
+ }
+ else {
+ $logger->info('app done', 1);
+ }
+ }
+ }
+
+ $logger->info('done processing', 1);
+
+ # no SIG via main::term received
+ if ( !$main::term ) {
+ $logger->info("sleep |$sleep|", 1);
+ sleep $sleep;
+ $logger->info('awake', 2);
+ $logger->info('about to loop', 2);
+ }
+ # SIG via main::term received
+ else {
+ $logger->warning('SIG via main::term received', 2);
+ }
+
+ } # while ( !$main::term )
+
+}; # eval
+if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("daemon died |$syntax_error_message|");
+ die $syntax_error_message;
+}
+else {
+ $logger->info('daemon gracefully stopped');
+}
+
+$logger->info('stop');
+
+exit(0);
+
diff --git a/oeaplatform/metaingest/perl/etc/daemon/config.yml b/oeaplatform/metaingest/perl/etc/daemon/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..0502466de2df1b014d1cc20b682d5f22389cf9c8
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/daemon/config.yml
@@ -0,0 +1,16 @@
+#
+# YAML Config
+# regarding daemon
+#
+
+#
+# CTRL
+ctrl:
+ # sleep: 1 # seconds between resurrection loops; default 10
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ dryrun: 0 # <0|1>; default 0
+ log:
+ path: 'log'
+ filename: 'daemon.log'
+
diff --git a/oeaplatform/metaingest/perl/etc/queues/payload.yml b/oeaplatform/metaingest/perl/etc/queues/payload.yml
new file mode 100644
index 0000000000000000000000000000000000000000..81cffe15461619b8f7dba7f1ac536feb7dbe484e
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/queues/payload.yml
@@ -0,0 +1,141 @@
+#
+# YAML Config
+# regarding payload
+#
+
+#
+# CTRL
+ctrl:
+ verbosity: 0 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'app.log'
+ mq:
+ host: 'mq'
+ port: 5672
+ user: 'consumer'
+ pass: '/run/secrets/mq_consumer_pass'
+ vhost: '/'
+ prefetch_count: 1 # <42>; default 1
+ objects:
+ max: 0 # <42>; 0:all, <42>:such many
+ sleep:
+ batch: 0.001 # seconds to sleep between receiving messages
+ pre: 2 # seconds to sleep before workout of queues
+
+#
+# Queues
+queues:
+ oer-repo.uibk.ac.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-repo.uibk.ac.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/oer-repo.uibk.ac.at'
+ ingest:
+ age: '1d'
+ oer-portal.uni-graz.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer-portal.uni-graz.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/oer-portal.uni-graz.at'
+ ingest:
+ age: '1d'
+ oer.fh-salzburg.ac.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'oer.fh-salzburg.ac.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/oer.fh-salzburg.ac.at'
+ ingest:
+ age: '1d'
+ repository.tugraz.at:
+ type: 'OAIIngest_LOM_invenio'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'repository.tugraz.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/repository.tugraz.at'
+ ingest:
+ age: '1d'
+ gecko.aau.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'gecko.aau.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/gecko.aau.at'
+ ingest:
+ age: '1d'
+ door.donau-uni.ac.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'door.donau-uni.ac.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/door.donau-uni.ac.at'
+ ingest:
+ age: '1d'
+ phaidra.univie.ac.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'phaidra.univie.ac.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/phaidra.univie.ac.at'
+ ingest:
+ age: '1d'
+ phaidra.fh-kaernten.at:
+ type: 'OAIIngest_LOM_edusharing'
+ cfg:
+ verbosity: 1 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'phaidra.fh-kaernten.at.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/phaidra.fh-kaernten.at'
+ ingest:
+ age: '1d'
diff --git a/oeaplatform/metaingest/perl/etc/queues/sanity.yml b/oeaplatform/metaingest/perl/etc/queues/sanity.yml
new file mode 100644
index 0000000000000000000000000000000000000000..316e3fa782930bc8932f71970eb7d54889b436f9
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/queues/sanity.yml
@@ -0,0 +1,13 @@
+#
+# YAML Config
+# regarding sanity
+#
+
+#
+# Queues config sanity checks
+types:
+ - OAIIngest_DC
+ - OAIIngest_LOM_edusharing
+ - OAIIngest_LOM_invenio
+ - dummy
+
diff --git a/oeaplatform/metaingest/perl/etc/sources/vocabs/config.yml b/oeaplatform/metaingest/perl/etc/sources/vocabs/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..6a2c2744863598c13063d7339860e452ada0b522
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/sources/vocabs/config.yml
@@ -0,0 +1,51 @@
+#
+# Vocabs
+vocabs:
+ vocabs.kim.hcrt:
+ type: 'Opensearch'
+ cfg:
+ verbosity: 0 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'vocabs.kim.hcrt.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/vocabs.kim.hcrt'
+ vocabs.iso639:
+ type: 'Opensearch'
+ cfg:
+ verbosity: 0 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'vocabs.iso639.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/vocabs.iso639'
+ vocabs.oefos2012:
+ type: 'Opensearch'
+ cfg:
+ verbosity: 0 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'vocabs.oefos2012.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/vocabs.oefos2012'
+ vocabs.spdx:
+ type: 'Opensearch'
+ cfg:
+ verbosity: 0 # <0|1|2>; default 2
+ debug: 0 # <0|1>; default 1
+ log:
+ path: 'log'
+ filename: 'vocabs.spdx.log'
+ uri:
+ scheme: 'http'
+ authority : '//index:9200'
+ path: '/vocabs.spdx'
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/config.yml b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..3c21ec77c1a3463ceec171eca7818cc1aecb7a61
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/config.yml
@@ -0,0 +1,16 @@
+#
+# YAML Config
+# regarding type DC_OAI_PMH or LOM_OAI_PMH
+#
+
+#
+# FS stuff
+fs:
+ oefos:
+ 2002:
+ de: 'etc/targets/oaiingest_dc/oefos/OEFOS2002_DE_CTI_20171007_030417.txt'
+ en: 'etc/targets/oaiingest_dc/oefos/OEFOS2002_EN_CTI_20171007_030424.txt'
+ 2012:
+ de: 'etc/targets/oaiingest_dc/oefos/OEFOS2012_DE_CTI_20211111_154218.txt'
+ en: 'etc/targets/oaiingest_dc/oefos/OEFOS2012_EN_CTI_20211111_154228.txt'
+
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2002_DE_CTI_20171007_030417.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2002_DE_CTI_20171007_030417.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a9f80aa93a3b89ea2bf4edecdcc66cf2ba0557e6
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2002_DE_CTI_20171007_030417.txt
@@ -0,0 +1,1667 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURWISSENSCHAFTEN";""
+2;"11";"11";"Mathematik, Informatik";""
+3;"1101";"1101";"ADV, EDV";""
+3;"1102";"1102";"Algebra";""
+3;"1103";"1103";"Analysis";""
+3;"1104";"1104";"Angewandte Mathematik";""
+3;"1105";"1105";"Computer Software";""
+3;"1106";"1106";"Formale Sprachen";""
+3;"1107";"1107";"Geometrie";""
+3;"1108";"1108";"Informatik";""
+3;"1109";"1109";"Informations- und Datenverarbeitung";""
+3;"1110";"1110";"Kybernetik";""
+3;"1111";"1111";"Logik";""
+3;"1112";"1112";"Logistik";""
+3;"1113";"1113";"Mathematische Statistik";""
+3;"1114";"1114";"Numerische Mathematik";""
+3;"1115";"1115";"Technische Mathematik";""
+3;"1116";"1116";"Topologie";""
+3;"1117";"1117";"Versicherungsmathematik";""
+3;"1118";"1118";"Wahrscheinlichkeitstheorie";""
+3;"1119";"1119";"Zahlentheorie";""
+3;"1120";"1120";"Kombinatorik";""
+3;"1121";"1121";"Operations Research";""
+3;"1122";"1122";"Artificial Intelligence";""
+3;"1123";"1123";"Computerunterst�tztes Entwerfen, - Produzieren (CAD/CAM)";""
+3;"1124";"1124";"Digitale Bildverarbeitung und Graphik";""
+3;"1125";"1125";"Computerintegrierte Fertigung (CIM)";""
+3;"1126";"1126";"Computer-Netzwerke";""
+3;"1127";"1127";"Informationswissenschaft";""
+3;"1128";"1128";"Supercomputing";""
+3;"1129";"1129";"Mechatronik";""
+3;"1130";"1130";"Biomathematik";""
+3;"1131";"1131";"Computer Algebra";""
+3;"1132";"1132";"Computerunterst�tzte Animation";""
+3;"1133";"1133";"Computerunterst�tzte Simulation";""
+3;"1134";"1134";"Computer Supported Cooperative Work (CSCW)";""
+3;"1135";"1135";"Differentialgeometrie";""
+3;"1136";"1136";"Entwurf integrierter Schaltungen";""
+3;"1137";"1137";"Finanzmathematik";""
+3;"1138";"1138";"Informationssysteme";""
+3;"1139";"1139";"Neuronale (Neurale) Netze";""
+3;"1140";"1140";"Software-Engineering";""
+3;"1141";"1141";"Symbolic Computation";""
+3;"1142";"1142";"Systemtheorie";""
+3;"1143";"1143";"Terminologie(-wissenschaft)";""
+3;"1144";"1144";"Virtual Reality";""
+3;"1145";"1145";"Zeitreihenanalyse";""
+3;"1146";"1146";"Wirtschaftsinformatik";""
+3;"1147";"1147";"Sicherheit in der Informationstechnik (IT-Sicherheit)";""
+3;"1148";"1148";"Computerlinguistik";""
+3;"1149";"1149";"Elektronische Sprachverarbeitung";""
+3;"1150";"1150";"Informations-Design";""
+3;"1151";"1151";"Numeric Computation";""
+3;"1152";"1152";"Spieltheorie";""
+3;"1153";"1153";"Rechtsinformatik";""
+3;"1154";"1154";"Angewandte Geometrie";""
+3;"1155";"1155";"Bildwissenschaft";""
+3;"1156";"1156";"Web-Engineering";""
+3;"1157";"1157";"Usability Research";""
+3;"1158";"1158";"Verteilte Systeme";""
+3;"1159";"1159";"Bioinformatik";""
+3;"1160";"1160";"Grid Computing";""
+3;"1161";"1161";"Human-Computer Interaction";""
+3;"1162";"1162";"Statistik";""
+3;"1163";"1163";"Geschichte der Mathematik";""
+3;"1164";"1164";"Pervasive Computing";""
+3;"1165";"1165";"Stochastik";""
+2;"12";"12";"Physik, Mechanik, Astronomie";""
+3;"1201";"1201";"Allgemeine Mechanik";""
+3;"1202";"1202";"Akustik";""
+3;"1203";"1203";"Angewandte Physik";""
+3;"1204";"1204";"Astronomie";""
+3;"1205";"1205";"Astrophysik";""
+3;"1206";"1206";"Atom-, Kernphysik";""
+3;"1207";"1207";"Biophysik";""
+3;"1208";"1208";"Elementarteilchenphysik";""
+3;"1209";"1209";"Experimentalphysik";""
+3;"1210";"1210";"Festk�rperphysik";""
+3;"1211";"1211";"Hochenergiephysik";""
+3;"1212";"1212";"Kern-, Atomenergie";""
+3;"1213";"1213";"Optik";""
+3;"1214";"1214";"Physikalische Elektronik";""
+3;"1215";"1215";"Quantenmechanik";""
+3;"1217";"1217";"Reaktorphysik";""
+3;"1218";"1218";"Relativit�tstheorie";""
+3;"1219";"1219";"Strahlenschutz";""
+3;"1220";"1220";"Str�mungslehre";""
+3;"1221";"1221";"Technische Physik";""
+3;"1222";"1222";"Theoretische Physik";""
+3;"1223";"1223";"Weltraumforschung";""
+3;"1224";"1224";"Elektronenphysik";""
+3;"1225";"1225";"Mathematische Physik";""
+3;"1226";"1226";"Neutronenphysik";""
+3;"1227";"1227";"Photophysik";""
+3;"1228";"1228";"Plasmaphysik";""
+3;"1229";"1229";"Halbleiterphysik";""
+3;"1230";"1230";"Laserphysik";""
+3;"1231";"1231";"Metallphysik";""
+3;"1232";"1232";"Biomechanik";""
+3;"1233";"1233";"Bruchmechanik";""
+3;"1234";"1234";"Dosimetrie";""
+3;"1235";"1235";"Ionenphysik";""
+3;"1237";"1237";"Laserspektroskopie";""
+3;"1238";"1238";"Oberfl�chenphysik";""
+3;"1239";"1239";"Polymerphysik";""
+3;"1240";"1240";"Statistische Physik";""
+3;"1241";"1241";"Mechatronik";""
+3;"1242";"1242";"Massenspektrometrie";""
+3;"1243";"1243";"Mikromechanik (auch: - der Werkstoffe)";""
+3;"1244";"1244";"Mittelenergiephysik";""
+3;"1245";"1245";"Nanotechnologie";""
+3;"1246";"1246";"Quantenoptik";""
+3;"1247";"1247";"Reaktionskinetik";""
+3;"1248";"1248";"Spektroskopie (auch: Molek�l-)";""
+3;"1249";"1249";"Strahlenphysik";""
+3;"1250";"1250";"Materialphysik";""
+3;"1251";"1251";"Kondensierte Materie";""
+3;"1252";"1252";"Kontinuumsmechanik";""
+3;"1253";"1253";"Magnetismus";""
+3;"1254";"1254";"Quantenfeldtheorie";""
+2;"13";"13";"Chemie";""
+3;"1301";"1301";"Allgemeine Chemie";""
+3;"1302";"1302";"Analytische Chemie";""
+3;"1303";"1303";"Anorganische Chemie";""
+3;"1304";"1304";"Biochemie";""
+3;"1305";"1305";"Biochemische Technologie";""
+3;"1306";"1306";"Chemische Technologie";""
+3;"1307";"1307";"Elektrochemie";""
+3;"1308";"1308";"Lebensmittelchemie";""
+3;"1309";"1309";"Mikrochemie";""
+3;"1310";"1310";"Organische Chemie";""
+3;"1311";"1311";"Photochemie";""
+3;"1312";"1312";"Physikalische Chemie";""
+3;"1313";"1313";"Radiochemie";""
+3;"1314";"1314";"Strahlenchemie";""
+3;"1315";"1315";"Strukturchemie";""
+3;"1316";"1316";"Technische Chemie";""
+3;"1317";"1317";"Theoretische Chemie";""
+3;"1318";"1318";"Festk�rperchemie";""
+3;"1319";"1319";"Gerichtliche Chemie";""
+3;"1320";"1320";"Biotechnologie";""
+3;"1321";"1321";"Makromolekulare Chemie";""
+3;"1322";"1322";"Oberfl�chenchemie";""
+3;"1323";"1323";"Polymerchemie";""
+3;"1324";"1324";"R�ntgenfluoreszenz (-analyse)";""
+3;"1325";"1325";"Enzymtechnologie";""
+3;"1326";"1326";"Korrosionsschutz";""
+3;"1327";"1327";"Spektroskopie (auch: Molek�l-)";""
+3;"1328";"1328";"Reaktionskinetik";""
+3;"1329";"1329";"Umweltchemie";""
+3;"1330";"1330";"Strukturbiologie";""
+3;"1331";"1331";"Biokatalyse";""
+3;"1332";"1332";"Chemische Biologie";""
+3;"1333";"1333";"Naturstoffchemie";""
+3;"1334";"1334";"Organometallchemie";""
+2;"14";"14";"Biologie, Botanik, Zoologie";""
+3;"1401";"1401";"Allgemeine Biologie";""
+3;"1402";"1402";"Biochemie";""
+3;"1403";"1403";"Biophysik";""
+3;"1404";"1404";"Botanik";""
+3;"1405";"1405";"Zellbiologie (Cytologie)";""
+3;"1406";"1406";"Experimentelle Zoologie";""
+3;"1407";"1407";"Genetik";""
+3;"1408";"1408";"Geobotanik";""
+3;"1409";"1409";"Humanbiologie";""
+3;"1410";"1410";"Mikrobiologie";""
+3;"1411";"1411";"Molekularbiologie";""
+3;"1412";"1412";"�kologie der Pflanzen";""
+3;"1413";"1413";"�kologie der Tiere";""
+3;"1414";"1414";"�kosystemforschung";""
+3;"1415";"1415";"Pal�obotanik";""
+3;"1416";"1416";"Pal�ontologie";""
+3;"1417";"1417";"Pflanzenanatomie";""
+3;"1418";"1418";"Pflanzenphysiologie";""
+3;"1419";"1419";"Phytotechnologie";""
+3;"1420";"1420";"Tieranatomie";""
+3;"1421";"1421";"Tierphysiologie";""
+3;"1422";"1422";"Vergleichende Verhaltensforschung (Ethologie)";""
+3;"1423";"1423";"Zoologie";""
+3;"1424";"1424";"Zoophysiologie";""
+3;"1425";"1425";"Entwicklungsgeschichte";""
+3;"1426";"1426";"Evolution";""
+3;"1427";"1427";"Pflanzenmorphologie";""
+3;"1428";"1428";"Phytochemie";""
+3;"1429";"1429";"Systematische Botanik";""
+3;"1430";"1430";"Tiergeographie";""
+3;"1431";"1431";"Tiersystematik";""
+3;"1432";"1432";"Biotechnologie";""
+3;"1433";"1433";"Gentechnik, -technologie";""
+3;"1434";"1434";"Biomechanik";""
+3;"1435";"1435";"Mykologie";""
+3;"1436";"1436";"Ultrastrukturforschung";""
+3;"1437";"1437";"Vegetationskunde";""
+3;"1438";"1438";"Biomathematik";""
+3;"1439";"1439";"Chronobiologie";""
+3;"1440";"1440";"Enzymtechnologie";""
+3;"1441";"1441";"Nanotechnologie";""
+3;"1442";"1442";"Spektroskopie (auch: Molek�l-)";""
+3;"1443";"1443";"Photobiologie";""
+3;"1444";"1444";"DNA-Analyse (auch: genetischer Fingerabdruck)";""
+3;"1445";"1445";"Faunistik";""
+3;"1446";"1446";"Gef��biologie";""
+3;"1447";"1447";"Neurobiologie";""
+3;"1448";"1448";"Stammzellenforschung";""
+3;"1449";"1449";"Strahlenbiologie";""
+3;"1450";"1450";"Proteomik";""
+3;"1451";"1451";"Strukturbiologie";""
+3;"1452";"1452";"Biodiversit�tsforschung";""
+3;"1453";"1453";"Biologische Anthropologie";""
+3;"1454";"1454";"Genomik";""
+3;"1455";"1455";"Theoretische Biologie";""
+3;"1456";"1456";"Bioinformatik";""
+3;"1457";"1457";"Entwicklungsbiologie";""
+3;"1458";"1458";"Phylogenie";""
+3;"1459";"1459";"Reproduktionsbiologie";""
+3;"1460";"1460";"Biostatistik";""
+3;"1461";"1461";"Chemische Biologie";""
+3;"1462";"1462";"Ersatzmethoden zu Tierversuchen";""
+3;"1463";"1463";"Glykobiolobie";""
+3;"1464";"1464";"Limnologie";""
+3;"1465";"1465";"Populationsgenetik";""
+3;"1466";"1466";"Versuchstierkunde, -zucht";""
+2;"15";"15";"Geologie, Mineralogie";""
+3;"1501";"1501";"Baugeologie";""
+3;"1502";"1502";"Erd�lgeologie";""
+3;"1503";"1503";"Geodynamik";""
+3;"1504";"1504";"Geologie";""
+3;"1505";"1505";"Geophysik";""
+3;"1507";"1507";"Kristallographie";""
+3;"1508";"1508";"Mineralogie";""
+3;"1509";"1509";"Montangeologie";""
+3;"1510";"1510";"Pal�ontologie";""
+3;"1511";"1511";"Petrographie";""
+3;"1512";"1512";"Sedimentologie";""
+3;"1513";"1513";"Strukturchemie";""
+3;"1514";"1514";"Technische Geologie";""
+3;"1515";"1515";"Tektonik";""
+3;"1516";"1516";"Bodenkunde, -schutz";""
+3;"1517";"1517";"Geochemie";""
+3;"1518";"1518";"Geothermie";""
+3;"1519";"1519";"Glaziologie";""
+3;"1520";"1520";"Geomorphologie";""
+3;"1521";"1521";"Gravimetrie";""
+3;"1522";"1522";"Magnetik";""
+3;"1523";"1523";"Seismik";""
+3;"1524";"1524";"Erosion (auch: Erosionskunde, -schutz)";""
+3;"1525";"1525";"Wildbach- und Lawinenkunde (-forschung)";""
+3;"1526";"1526";"Petrologie";""
+3;"1527";"1527";"Kulturgeologie";""
+3;"1528";"1528";"Geostatistik";""
+3;"1529";"1529";"Ingenieurgeologie";""
+3;"1530";"1530";"Stratigraphie";""
+2;"16";"16";"Meteorologie, Klimatologie";""
+3;"1601";"1601";"Geophysik";""
+3;"1602";"1602";"Klimatologie";""
+3;"1603";"1603";"Meteorologie";""
+3;"1604";"1604";"Weltraumforschung";""
+3;"1605";"1605";"Glaziologie";""
+3;"1606";"1606";"Bioklimatologie";""
+3;"1607";"1607";"Agrarmeteorologie";""
+3;"1608";"1608";"Erderw�rmung, globale -";""
+2;"17";"17";"Hydrologie, Hydrographie";""
+3;"1701";"1701";"Abwasserreinigung";""
+3;"1702";"1702";"Gew�sserreinigung";""
+3;"1703";"1703";"Gew�sserschutz";""
+3;"1704";"1704";"Hydromechanik";""
+3;"1705";"1705";"Hydrobiologie";""
+3;"1706";"1706";"Hydrogeologie";""
+3;"1707";"1707";"Hydrographie";""
+3;"1708";"1708";"Hydrologie";""
+3;"1709";"1709";"Limnologie";""
+3;"1710";"1710";"Mikrobiologie";""
+3;"1711";"1711";"Spel�ologie";""
+3;"1712";"1712";"Wasserhygiene";""
+3;"1713";"1713";"Wassertechnologie";""
+3;"1714";"1714";"Wasseruntersuchung";""
+3;"1715";"1715";"Wasserversorgung";""
+3;"1716";"1716";"Wasserwirtschaft";""
+3;"1717";"1717";"Grundwasserwirtschaft";""
+3;"1718";"1718";"Erosion (auch: Erosionskunde, -schutz)";""
+3;"1719";"1719";"Wildbach- und Lawinenkunde (-forschung)";""
+3;"1720";"1720";"Hochwasser (-schutz)";""
+3;"1721";"1721";"Hydrochemie";""
+2;"18";"18";"Geographie";""
+3;"1801";"1801";"Angewandte Geographie";""
+3;"1802";"1802";"Kartographie";""
+3;"1803";"1803";"Kulturgeographie";""
+3;"1804";"1804";"Regionale Geographie";""
+3;"1805";"1805";"Physische Geographie";""
+3;"1806";"1806";"Topographie";""
+3;"1807";"1807";"Wirtschaftsgeographie";""
+3;"1808";"1808";"Glaziologie";""
+3;"1809";"1809";"Sozialgeographie";""
+3;"1810";"1810";"Geographische Informationssysteme (GIS)";""
+3;"1811";"1811";"Politische Geographie";""
+3;"1812";"1812";"Regionalentwicklung, -splanung";""
+3;"1813";"1813";"Bev�lkerungsgeographie";""
+3;"1814";"1814";"Geomorphologie";""
+2;"19";"19";"Sonstige und interdisziplin�re Naturwissenschaften";""
+3;"1901";"1901";"Elektronenmikroskopie";""
+3;"1902";"1902";"Gaschromatographie";""
+3;"1903";"1903";"Lebensmitteluntersuchung";""
+3;"1904";"1904";"Naturwissenschaften interdisziplin�r";""
+3;"1905";"1905";"Naturwissenschaftliche Dokumentation";""
+3;"1906";"1906";"R�ntgenstrukturanalyse";""
+3;"1907";"1907";"Umweltforschung";""
+3;"1908";"1908";"Bodenkunde, -schutz";""
+3;"1909";"1909";"Rohstoffforschung, -wirtschaft";""
+3;"1910";"1910";"Altlastensanierung";""
+3;"1911";"1911";"Arch�ometrie";""
+3;"1912";"1912";"Dosimetrie";""
+3;"1913";"1913";"Fachdidaktik (Naturwissenschaften)";""
+3;"1914";"1914";"Isotopentechnik";""
+3;"1915";"1915";"Computerunterst�tzte Simulation";""
+3;"1916";"1916";"�kotechnik (""Ecotech"")";""
+3;"1917";"1917";"Umweltschutz";""
+3;"1918";"1918";"Risikoforschung";""
+3;"1919";"1919";"Informations-Design";""
+3;"1920";"1920";"Luftreinhaltung";""
+3;"1921";"1921";"�kologische Langzeitforschung";""
+3;"1922";"1922";"Textilchemie, -physik";""
+3;"1923";"1923";"Trainingswissenschaft";""
+3;"1924";"1924";"Umweltchemie";""
+3;"1925";"1925";"Wissensmanagement";""
+3;"1926";"1926";"Geschichte der Mathematik";""
+3;"1927";"1927";"Geschichte der Naturwissenschaften";""
+3;"1928";"1928";"Hochwasser (-schutz)";""
+3;"1929";"1929";"Abfallwirtschaft";""
+3;"1930";"1930";"Ingenieurbiologie";""
+3;"1931";"1931";"Naturschutz(-forschung)";""
+3;"1932";"1932";"�kotoxikologie";""
+3;"1933";"1933";"Zivil- und Katastrophenschutz";""
+3;"1934";"1934";"Ern�hrungswissenschaften";""
+1;"2";"2";"TECHNISCHE WISSENSCHAFTEN";""
+2;"21";"21";"Bergbau, Metallurgie";""
+3;"2101";"2101";"Aufbereitung mineralischer Rohstoffe";""
+3;"2102";"2102";"Bergbaukunde";""
+3;"2103";"2103";"Bergschadenkunde";""
+3;"2104";"2104";"Eisenh�ttentechnologie";""
+3;"2105";"2105";"Erd�lgeologie";""
+3;"2106";"2106";"Erd�lgewinnung";""
+3;"2107";"2107";"Feuerfeste Baustoffe";""
+3;"2108";"2108";"F�rdertechnik";""
+3;"2109";"2109";"Gesteinsh�ttentechnologie";""
+3;"2110";"2110";"Gie�ereitechnologie";""
+3;"2111";"2111";"Nichteisenmetallurgie";""
+3;"2113";"2113";"Industrieofenbau";""
+3;"2114";"2114";"Lagerst�ttenerschlie�ung";""
+3;"2115";"2115";"Lagerst�ttenkunde";""
+3;"2116";"2116";"Markscheidekunde";""
+3;"2117";"2117";"Metallkunde";""
+3;"2118";"2118";"Metallurgie";""
+3;"2119";"2119";"Montangeologie";""
+3;"2120";"2120";"Schwei�technik";""
+3;"2121";"2121";"W�rmetechnik";""
+3;"2122";"2122";"Werkstoffpr�fung, Material-";""
+3;"2123";"2123";"Tiefbohrtechnik";""
+3;"2124";"2124";"Verbrennungstechnik";""
+3;"2125";"2125";"Untertagebau";""
+3;"2126";"2126";"Umformtechnik";""
+3;"2127";"2127";"Werkstofftechnik";""
+2;"22";"22";"Maschinenbau, Instrumentenbau";""
+3;"2201";"2201";"Computer Hardware, ADVA";""
+3;"2202";"2202";"Dampf- und Gasturbinen";""
+3;"2203";"2203";"Energietechnik";""
+3;"2204";"2204";"Feinwerktechnik";""
+3;"2205";"2205";"Flugzeugbau";""
+3;"2206";"2206";"F�rdertechnik";""
+3;"2207";"2207";"Industrieofenbau";""
+3;"2208";"2208";"Instrumentenbau";""
+3;"2209";"2209";"Kessel-, Reaktorbau";""
+3;"2210";"2210";"Kraftfahrwesen";""
+3;"2211";"2211";"Leichtbau";""
+3;"2212";"2212";"Maschinenbau";""
+3;"2213";"2213";"Maschinendynamik";""
+3;"2214";"2214";"Mechanische Technologie";""
+3;"2215";"2215";"Messtechnik";""
+3;"2216";"2216";"Montanmaschinenwesen";""
+3;"2217";"2217";"Reaktortechnik";""
+3;"2218";"2218";"Schiffstechnik";""
+3;"2219";"2219";"Str�mungslehre";""
+3;"2220";"2220";"Str�mungsmaschinen";""
+3;"2221";"2221";"Technische Mechanik";""
+3;"2222";"2222";"Theoretische Maschinenlehre";""
+3;"2223";"2223";"Thermische Turbomaschinen";""
+3;"2224";"2224";"Thermodynamik (auch: chemische -)";""
+3;"2225";"2225";"Verbrennungskraftmaschinen";""
+3;"2226";"2226";"W�rmetechnik";""
+3;"2227";"2227";"Wasserkraftmaschinen und Pumpen";""
+3;"2228";"2228";"Werkstoffpr�fung, Material-";""
+3;"2229";"2229";"Zellstoff- und Papiertechnik";""
+3;"2230";"2230";"Heizungstechnik";""
+3;"2231";"2231";"K�ltetechnik";""
+3;"2232";"2232";"W�rmepumpen";""
+3;"2233";"2233";"Apparatebau";""
+3;"2234";"2234";"Robotik (Robotertechnik)";""
+3;"2235";"2235";"Tunnelbel�ftung";""
+3;"2236";"2236";"Mechatronik";""
+3;"2237";"2237";"Tribologie";""
+3;"2238";"2238";"Mikromechanik (auch: - der Werkstoffe)";""
+3;"2239";"2239";"Kraftfahrzeugtechnik";""
+3;"2240";"2240";"Umformtechnik";""
+3;"2241";"2241";"Bruchmechanik";""
+3;"2242";"2242";"Klimatechnik";""
+2;"23";"23";"Bautechnik";""
+3;"2301";"2301";"Bahnbau";""
+3;"2302";"2302";"Bauaufnahmen";""
+3;"2303";"2303";"Baubetrieb";""
+3;"2304";"2304";"Bauforschung";""
+3;"2305";"2305";"Bauphysik";""
+3;"2306";"2306";"Baustatik";""
+3;"2307";"2307";"Baustofflehre";""
+3;"2308";"2308";"Baustoffpr�fung";""
+3;"2309";"2309";"Bauwirtschaft";""
+3;"2310";"2310";"Bodenmechanik";""
+3;"2311";"2311";"Br�ckenbau";""
+3;"2312";"2312";"Erdbau";""
+3;"2313";"2313";"Felsmechanik";""
+3;"2314";"2314";"Festigkeitslehre";""
+3;"2315";"2315";"Flussbau";""
+3;"2316";"2316";"Grundbau";""
+3;"2317";"2317";"Hochbau";""
+3;"2318";"2318";"Holzbau";""
+3;"2319";"2319";"Hydraulik";""
+3;"2320";"2320";"Industriebau";""
+3;"2321";"2321";"Konstruktiver Wasserbau";""
+3;"2322";"2322";"Landwirtschaftlicher Wasserbau";""
+3;"2323";"2323";"Landwirtschaftliches Bauwesen";""
+3;"2324";"2324";"Leichtbau";""
+3;"2325";"2325";"Mechanische Technologie";""
+3;"2326";"2326";"Siedlungswasserbau";""
+3;"2327";"2327";"Stahlbau";""
+3;"2328";"2328";"Stahlbetonbau";""
+3;"2329";"2329";"Stra�enbau";""
+3;"2330";"2330";"Tiefbau";""
+3;"2331";"2331";"Tragwerkslehre";""
+3;"2332";"2332";"Wasserkraftanlagenbau";""
+3;"2333";"2333";"Wildbach- und Lawinenverbauung";""
+3;"2334";"2334";"Baudynamik";""
+3;"2335";"2335";"Brandverh�tung, Brandschutz";""
+3;"2336";"2336";"Bau�kologie";""
+3;"2337";"2337";"Tunnelbau";""
+3;"2338";"2338";"Altbausanierung";""
+3;"2339";"2339";"Bruchmechanik";""
+3;"2340";"2340";"L�rmschutz, Schallschutz";""
+3;"2341";"2341";"Tunnelbel�ftung";""
+3;"2342";"2342";"Aerodynamik";""
+3;"2343";"2343";"Bautechnik";""
+3;"2344";"2344";"Untertagebau";""
+3;"2345";"2345";"Ingenieurbiologie";""
+3;"2346";"2346";"Ingenieurgeologie";""
+2;"24";"24";"Architektur";""
+3;"2401";"2401";"Architektonische Gestaltung";""
+3;"2402";"2402";"Architektur";""
+3;"2403";"2403";"Architekturmodellbau";""
+3;"2404";"2404";"Bauaufnahmen";""
+3;"2405";"2405";"Bauforschung";""
+3;"2406";"2406";"Baukunst";""
+3;"2407";"2407";"Baustatik";""
+3;"2408";"2408";"Br�ckenbau";""
+3;"2409";"2409";"Denkmalpflege";""
+3;"2410";"2410";"Entwerfen";""
+3;"2411";"2411";"Geb�udelehre";""
+3;"2412";"2412";"Hochbau";""
+3;"2413";"2413";"Holzbau";""
+3;"2414";"2414";"Industriebau";""
+3;"2415";"2415";"Innenarchitektur";""
+3;"2416";"2416";"Innenraumgestaltung";""
+3;"2417";"2417";"Leichtbau";""
+3;"2418";"2418";"Raumkunst";""
+3;"2419";"2419";"St�dtebau";""
+3;"2420";"2420";"Stadt-, Dorferneuerung";""
+3;"2421";"2421";"Stahlbau";""
+3;"2422";"2422";"Stahlbetonbau";""
+3;"2423";"2423";"Tiefbau";""
+3;"2424";"2424";"Tragwerkslehre";""
+3;"2425";"2425";"Umweltgestaltung";""
+3;"2426";"2426";"Wohnbau";""
+3;"2427";"2427";"Bau�kologie";""
+3;"2428";"2428";"Altbausanierung";""
+3;"2429";"2429";"Raumgestaltung";""
+3;"2430";"2430";"Solararchitektur";""
+3;"2431";"2431";"Gartenkunst";""
+3;"2432";"2432";"Architekturtheorie";""
+2;"25";"25";"Elektrotechnik, Elektronik";""
+3;"2501";"2501";"Allgemeine Elektronik";""
+3;"2502";"2502";"Allgemeine Elektrotechnik";""
+3;"2503";"2503";"Computer Hardware, ADVA";""
+3;"2504";"2504";"Elektrische Anlagen (Bau und Betrieb)";""
+3;"2505";"2505";"Elektrische Antriebstechnik";""
+3;"2506";"2506";"Elektrische Beleuchtung";""
+3;"2507";"2507";"Elektrische Energie";""
+3;"2508";"2508";"Elektrische Maschinen (Bau und Betrieb)";""
+3;"2509";"2509";"Elektrische Regelungstechnik";""
+3;"2510";"2510";"Elektrische Steuerungstechnik";""
+3;"2511";"2511";"Elektrizit�tswesen";""
+3;"2512";"2512";"Elektrotechnische Messkunde";""
+3;"2513";"2513";"Elektro- und Biomedizinische Technik";""
+3;"2514";"2514";"Energietechnik";""
+3;"2515";"2515";"Fernmeldetechnik";""
+3;"2516";"2516";"Geoelektrik";""
+3;"2517";"2517";"Halbleitertechnologie";""
+3;"2518";"2518";"Hochfrequenztechnik";""
+3;"2519";"2519";"Hochspannungstechnik";""
+3;"2520";"2520";"Industrielle Elektronik";""
+3;"2521";"2521";"Mikroelektronik";""
+3;"2522";"2522";"Nachrichtentechnik";""
+3;"2524";"2524";"Physikalische Elektronik";""
+3;"2525";"2525";"Radiotechnik";""
+3;"2526";"2526";"Schwachstromtechnik";""
+3;"2527";"2527";"Starkstromtechnik";""
+3;"2529";"2529";"Theoretische Elektrotechnik";""
+3;"2530";"2530";"Wellenausbreitung";""
+3;"2531";"2531";"Lasertechnik";""
+3;"2532";"2532";"Optische Nachrichtentechnik";""
+3;"2533";"2533";"Signalverarbeitung analog, digital";""
+3;"2534";"2534";"Solartechnologie";""
+3;"2535";"2535";"Supraleitung";""
+3;"2536";"2536";"Computer-Netzwerke";""
+3;"2537";"2537";"Elektronenstrahltechnik";""
+3;"2539";"2539";"Laserspektroskopie";""
+3;"2540";"2540";"Robotik (Robotertechnik)";""
+3;"2541";"2541";"Mechatronik";""
+3;"2542";"2542";"Photovoltaik";""
+3;"2543";"2543";"Entwurf integrierter Schaltungen";""
+3;"2545";"2545";"Neuronale (Neurale) Netze";""
+3;"2546";"2546";"Sensorik";""
+3;"2547";"2547";"Telekommunikation, Mobil-";""
+3;"2548";"2548";"Sicherheit in der Informationstechnik (IT-Sicherheit)";""
+3;"2549";"2549";"Elektromagnetismus";""
+3;"2550";"2550";"Navigation";""
+3;"2551";"2551";"Mikrowellentechnik";""
+3;"2552";"2552";"Radartechnik";""
+3;"2553";"2553";"Audiotechnik";""
+3;"2554";"2554";"Elektromagnetische Vertr�glichkeit";""
+3;"2555";"2555";"Human-Computer Interaction";""
+3;"2556";"2556";"Leistungselektronik";""
+3;"2557";"2557";"Embedded Systems";""
+2;"26";"26";"Technische Chemie, Brennstoff- und Mineral�ltechnologie";""
+3;"2601";"2601";"Anorganisch-chemische Technologie";""
+3;"2602";"2602";"Brandverh�tung, Brandschutz";""
+3;"2603";"2603";"Biochemische Technologie";""
+3;"2604";"2604";"Brennstofftechnologie";""
+3;"2605";"2605";"Chemische Technologie";""
+3;"2606";"2606";"Kunststoffkunde";""
+3;"2607";"2607";"Kunststofftechnik";""
+3;"2608";"2608";"Kunststoffverarbeitung";""
+3;"2609";"2609";"Mineral�ltechnologie";""
+3;"2610";"2610";"Organisch-chemische Technologie";""
+3;"2611";"2611";"Silikatchemie";""
+3;"2612";"2612";"Technische Chemie";""
+3;"2613";"2613";"Werkstoffpr�fung, Material-";""
+3;"2614";"2614";"Zellstoff- und Papiertechnik";""
+3;"2615";"2615";"Sprengtechnik";""
+3;"2616";"2616";"Beschichtungstechnik";""
+3;"2617";"2617";"Korrosionsschutz";""
+3;"2618";"2618";"Verbrennungstechnik";""
+3;"2619";"2619";"Thermodynamik (auch: chemische -)";""
+3;"2620";"2620";"Materialchemie";""
+2;"27";"27";"Geod�sie, Vermessungswesen";""
+3;"2701";"2701";"Erdmessung";""
+3;"2702";"2702";"Fernerkundung";""
+3;"2703";"2703";"Geod�sie, auch: H�here -";""
+3;"2704";"2704";"Kartographie";""
+3;"2705";"2705";"Katastervermessung";""
+3;"2706";"2706";"Landesvermessung";""
+3;"2707";"2707";"Photogrammetrie";""
+3;"2708";"2708";"Topographie";""
+3;"2709";"2709";"Vermessungswesen";""
+3;"2710";"2710";"Ingenieurgeod�sie";""
+3;"2711";"2711";"GPS (Satellitengest�tzte Koordinatenmessung)";""
+3;"2712";"2712";"3D-Vermessung";""
+2;"28";"28";"Verkehrswesen, Verkehrsplanung";""
+3;"2801";"2801";"Eisenbahnwesen";""
+3;"2802";"2802";"Stra�enbau";""
+3;"2803";"2803";"Stra�enplanung";""
+3;"2804";"2804";"Transportwirtschaft";""
+3;"2805";"2805";"Verkehrsplanung, -sicherheit";""
+3;"2806";"2806";"Verkehrstechnik";""
+3;"2807";"2807";"Verkehrswesen";""
+3;"2808";"2808";"Verkehrswirtschaft";""
+3;"2809";"2809";"Unfallforschung";""
+3;"2810";"2810";"Seilbahnwesen";""
+2;"29";"29";"Sonstige und interdisziplin�re Technische Wissenschaften";""
+3;"2901";"2901";"Abfalltechnologie";""
+3;"2902";"2902";"Allgemeine Verfahrenstechnik";""
+3;"2903";"2903";"Arbeitswissenschaft";""
+3;"2904";"2904";"Betriebstechnik";""
+3;"2905";"2905";"Elektronenmikroskopie";""
+3;"2906";"2906";"Energiewirtschaft";""
+3;"2907";"2907";"Gaschromatographie";""
+3;"2908";"2908";"Graphische Technik";""
+3;"2909";"2909";"Luftfahrttechnik";""
+3;"2910";"2910";"Rohstoffr�ckgewinnung (Recycling)";""
+3;"2911";"2911";"R�ntgenstrukturanalyse";""
+3;"2912";"2912";"Technische Dokumentation";""
+3;"2913";"2913";"Technische Wissenschaften interdisziplin�r";""
+3;"2914";"2914";"Textiltechnik";""
+3;"2915";"2915";"Tieftemperaturforschung";""
+3;"2916";"2916";"Verpackungswesen";""
+3;"2917";"2917";"Wirtschaftstechnik";""
+3;"2918";"2918";"Umwelttechnologie";""
+3;"2919";"2919";"Energieforschung";""
+3;"2920";"2920";"Abluftreinigung";""
+3;"2921";"2921";"Biotechnologie";""
+3;"2922";"2922";"Produktgestaltung";""
+3;"2923";"2923";"Rohstoffforschung, -wirtschaft";""
+3;"2924";"2924";"Schadstoffdeposition";""
+3;"2925";"2925";"Schadstoffemission";""
+3;"2926";"2926";"Sprengtechnik";""
+3;"2927";"2927";"Technikfolgenabsch�tzung";""
+3;"2928";"2928";"Umwelt�konomie";""
+3;"2929";"2929";"Zivil- und Katastrophenschutz";""
+3;"2930";"2930";"Altlastensanierung";""
+3;"2931";"2931";"Arch�ometrie";""
+3;"2932";"2932";"Automatisierung";""
+3;"2933";"2933";"Dosimetrie";""
+3;"2934";"2934";"Ergonomie";""
+3;"2935";"2935";"Fachdidaktik (Technische Wissenschaften)";""
+3;"2936";"2936";"Qualit�tssicherung";""
+3;"2937";"2937";"Technikgeschichte";""
+3;"2938";"2938";"Behindertenfragen, -forschung";""
+3;"2939";"2939";"Computerunterst�tzte Simulation";""
+3;"2940";"2940";"Energieeinsparung (Ma�nahmen zur -)";""
+3;"2941";"2941";"Erneuerbare Energie (auch: Energietr�ger, Rohstoffe)";""
+3;"2942";"2942";"Fertigungstechnik";""
+3;"2943";"2943";"Forschungs- und Innovationsmanagement";""
+3;"2944";"2944";"Human�kologie";""
+3;"2945";"2945";"�kotechnik (""Ecotech"")";""
+3;"2946";"2946";"Umweltschutz";""
+3;"2947";"2947";"Informationstechnologie";""
+3;"2948";"2948";"Informationsgesellschaft";""
+3;"2949";"2949";"Telekommunikation, Mobil-";""
+3;"2950";"2950";"Risikoforschung";""
+3;"2951";"2951";"Technologietransfer";""
+3;"2952";"2952";"Sicherheit in der Informationstechnik (IT-Sicherheit)";""
+3;"2953";"2953";"Datenschutz und Datensicherheit";""
+3;"2954";"2954";"Audiovisuelle Medien";""
+3;"2955";"2955";"Aerodynamik";""
+3;"2956";"2956";"Ecodesign";""
+3;"2957";"2957";"Luftreinhaltung";""
+3;"2959";"2959";"Nachhaltige Entwicklung, Nachhaltiges Wirtschaften";""
+3;"2960";"2960";"�kologische Langzeitforschung";""
+3;"2961";"2961";"Schadensanalyse";""
+3;"2962";"2962";"Technikphilosophie";""
+3;"2963";"2963";"Techniksoziologie";""
+3;"2964";"2964";"Textilchemie, -physik";""
+3;"2965";"2965";"Wissensmanagement";""
+3;"2966";"2966";"Geschichte der Technischen Wissenschaften";""
+3;"2967";"2967";"Lichttechnologie";""
+3;"2968";"2968";"Nanotechnologie";""
+3;"2969";"2969";"Abfallwirtschaft";""
+3;"2970";"2970";"Fermentierung";""
+3;"2971";"2971";"Gender Studies (Technische Wissenschaften)";""
+3;"2972";"2972";"Usabilty Research";""
+3;"2973";"2973";"Technische Statistik";""
+1;"3";"3";"HUMANMEDIZIN";""
+2;"31";"31";"Anatomie, Pathologie";""
+3;"3101";"3101";"Allgemeine Anatomie";""
+3;"3102";"3102";"Allgemeine Pathologie";""
+3;"3103";"3103";"Zellbiologie (Cytologie)";""
+3;"3104";"3104";"Embryologie";""
+3;"3105";"3105";"Experimentelle Pathologie";""
+3;"3106";"3106";"Funktionelle Pathologie";""
+3;"3107";"3107";"Histologie";""
+3;"3108";"3108";"Krebsforschung";""
+3;"3109";"3109";"Neuropathologie";""
+3;"3110";"3110";"Onkologie";""
+3;"3111";"3111";"Pathologische Anatomie";""
+3;"3112";"3112";"Psychopathologie";""
+3;"3113";"3113";"R�ntgenanatomie";""
+3;"3114";"3114";"Systematische Anatomie";""
+3;"3115";"3115";"Topographische Anatomie";""
+3;"3116";"3116";"Diagnostik in der Medizin";""
+3;"3117";"3117";"Funktionelle Anatomie";""
+3;"3118";"3118";"Pathophysiologie";""
+3;"3119";"3119";"Molekulare Pathologie";""
+2;"32";"32";"Medizinische Chemie, Medizinische Physik, Physiologie";""
+3;"3201";"3201";"Allgemeine Physiologie";""
+3;"3202";"3202";"Balneologie";""
+3;"3203";"3203";"Biophysik";""
+3;"3204";"3204";"Elektronenmikroskopie";""
+3;"3205";"3205";"Elektro- und Biomedizinische Technik";""
+3;"3206";"3206";"Humangenetik";""
+3;"3207";"3207";"Krebsforschung";""
+3;"3208";"3208";"Medizinische Biochemie";""
+3;"3209";"3209";"Medizinische Biologie";""
+3;"3210";"3210";"Medizinische Chemie";""
+3;"3211";"3211";"Medizinische Molekularbiologie";""
+3;"3212";"3212";"Medizinische Physik";""
+3;"3213";"3213";"Medizinische Physiologie";""
+3;"3214";"3214";"Neurochemie";""
+3;"3215";"3215";"Neuro- und Sinnesphysiologie";""
+3;"3216";"3216";"Nuklearmedizin";""
+3;"3217";"3217";"Radiologie";""
+3;"3218";"3218";"Strahlenbiologie";""
+3;"3219";"3219";"Strahlenphysik";""
+3;"3220";"3220";"Strahlenschutz";""
+3;"3221";"3221";"Strahlentherapie";""
+3;"3222";"3222";"Vergleichende Physiologie";""
+3;"3223";"3223";"Zellbiologie (Cytologie)";""
+3;"3224";"3224";"Cytogenetik";""
+3;"3225";"3225";"Sonographie";""
+3;"3226";"3226";"Biomechanik";""
+3;"3227";"3227";"Magnetresonanztomographie (MRT)";""
+3;"3228";"3228";"Impfstoffentwicklung";""
+3;"3229";"3229";"Gef��biologie";""
+3;"3230";"3230";"Stammzellenforschung";""
+3;"3231";"3231";"Strahlenchemie";""
+3;"3232";"3232";"Proteomik";""
+3;"3233";"3233";"Computertomographie";""
+3;"3234";"3234";"Genomik";""
+3;"3235";"3235";"Glykobiologie";""
+3;"3236";"3236";"Lipidforschung";""
+2;"33";"33";"Pharmazie, Pharmakologie, Toxikologie";""
+3;"3301";"3301";"Hom�opathie";""
+3;"3302";"3302";"Neuropharmakologie";""
+3;"3303";"3303";"Pharmakodynamik";""
+3;"3304";"3304";"Pharmakognosie";""
+3;"3305";"3305";"Pharmakologie";""
+3;"3306";"3306";"Pharmazeutische Chemie";""
+3;"3307";"3307";"Pharmazie";""
+3;"3308";"3308";"Psychopharmakologie";""
+3;"3309";"3309";"Toxikologie";""
+3;"3310";"3310";"Pharmazeutische Technologie";""
+3;"3311";"3311";"Phytochemie";""
+3;"3312";"3312";"Pharmakokinetik";""
+3;"3313";"3313";"Arzneimittel-, Arzneistoffanalyse";""
+3;"3314";"3314";"Impfstoffentwicklung";""
+3;"3315";"3315";"Naturstoffchemie";""
+2;"34";"34";"Hygiene, medizinische Mikrobiologie";""
+3;"3401";"3401";"Allergieforschung";""
+3;"3402";"3402";"Arbeitsmedizin";""
+3;"3403";"3403";"Bakteriologie";""
+3;"3404";"3404";"Bakteriologisch-serologische Untersuchungen";""
+3;"3405";"3405";"Berufskrankheiten";""
+3;"3406";"3406";"Blutgruppenserologie";""
+3;"3407";"3407";"Bluttransfusionskunde";""
+3;"3408";"3408";"Epidemiologie";""
+3;"3409";"3409";"H�matologie";""
+3;"3410";"3410";"Hygiene";""
+3;"3411";"3411";"Immunologie";""
+3;"3412";"3412";"Krebsforschung";""
+3;"3413";"3413";"Lebensmittelhygiene";""
+3;"3414";"3414";"Leuk�mieforschung";""
+3;"3415";"3415";"Lufthygiene";""
+3;"3416";"3416";"Medizinische Mikrobiologie";""
+3;"3417";"3417";"Parasitologie";""
+3;"3418";"3418";"Pr�ventivmedizin";""
+3;"3419";"3419";"Rehabilitationsforschung";""
+3;"3420";"3420";"Serologie";""
+3;"3421";"3421";"Seuchenforschung";""
+3;"3423";"3423";"Sozialmedizin";""
+3;"3424";"3424";"Spezifische Prophylaxe (Impfschutz)";""
+3;"3425";"3425";"Stressforschung";""
+3;"3426";"3426";"Tropenmedizin";""
+3;"3427";"3427";"Umwelthygiene";""
+3;"3428";"3428";"Virologie";""
+3;"3429";"3429";"Wasserhygiene";""
+3;"3430";"3430";"Neuro-, Psychoimmunologie";""
+3;"3431";"3431";"Diagnostik in der Medizin";""
+3;"3432";"3432";"Impfstoffentwicklung";""
+3;"3433";"3433";"HIV-Forschung";""
+3;"3434";"3434";"Krankenhaushygiene";""
+2;"35";"35";"Klinische Medizin (ausgenommen Chirurgie und Psychiatrie)";""
+3;"3501";"3501";"Akupunktur";""
+3;"3502";"3502";"Allergieforschung";""
+3;"3503";"3503";"Allgemeinmedizin";""
+3;"3504";"3504";"Andrologie";""
+3;"3505";"3505";"Augenheilkunde";""
+3;"3506";"3506";"Balneologie";""
+3;"3507";"3507";"Chemotherapie";""
+3;"3508";"3508";"Dermatologie";""
+3;"3509";"3509";"Endokrinologie";""
+3;"3510";"3510";"Gastroenterologie";""
+3;"3511";"3511";"Geburtshilfe";""
+3;"3512";"3512";"Geriatrie";""
+3;"3513";"3513";"Gyn�kologie";""
+3;"3514";"3514";"Hals-, Nasen-, Ohrenkrankheiten";""
+3;"3515";"3515";"Haut- und Geschlechtskrankheiten";""
+3;"3516";"3516";"Hepatologie";""
+3;"3517";"3517";"H�r-, Stimm- und Sprachst�rungen";""
+3;"3518";"3518";"Innere Medizin";""
+3;"3519";"3519";"Intensivmedizin";""
+3;"3520";"3520";"Kardiologie";""
+3;"3521";"3521";"Kieferchirurgie";""
+3;"3522";"3522";"Kinderheilkunde";""
+3;"3523";"3523";"Kreislauferkrankungen";""
+3;"3524";"3524";"Lungenheilkunde";""
+3;"3525";"3525";"Neonatologie";""
+3;"3526";"3526";"Nephrologie";""
+3;"3527";"3527";"Nuklearmedizin";""
+3;"3528";"3528";"Orthop�die";""
+3;"3529";"3529";"Perinatologie";""
+3;"3530";"3530";"Radiodiagnostik";""
+3;"3531";"3531";"Radiologie";""
+3;"3532";"3532";"Rehabilitationsforschung";""
+3;"3533";"3533";"Rheumatologie";""
+3;"3534";"3534";"Sozialmedizin";""
+3;"3535";"3535";"Sportmedizin";""
+3;"3536";"3536";"Stoffwechselerkrankungen";""
+3;"3537";"3537";"Strahlenschutz";""
+3;"3538";"3538";"Strahlentherapie";""
+3;"3539";"3539";"Syphilidologie";""
+3;"3540";"3540";"Urologie";""
+3;"3541";"3541";"Venerologie";""
+3;"3542";"3542";"Zahn-, Mund- und Kieferheilkunde";""
+3;"3543";"3543";"Angiologie";""
+3;"3544";"3544";"Klinische Chemie";""
+3;"3545";"3545";"Laboratoriumsdiagnostik";""
+3;"3546";"3546";"Physikalische Medizin";""
+3;"3547";"3547";"Computerunterst�tzte Diagnose und Therapie";""
+3;"3548";"3548";"Diabetologie";""
+3;"3549";"3549";"Implantologie";""
+3;"3550";"3550";"Sonographie";""
+3;"3551";"3551";"Pr�natale Diagnostik";""
+3;"3552";"3552";"Diagnostik in der Medizin";""
+3;"3553";"3553";"Notfallmedizin";""
+3;"3554";"3554";"Schmerztherapie";""
+3;"3555";"3555";"Transplantationsmedizin";""
+3;"3556";"3556";"Kieferorthop�die";""
+3;"3557";"3557";"Palliativmedizin";""
+3;"3558";"3558";"Polytraumaversorgung";""
+3;"3559";"3559";"H�matologie";""
+3;"3560";"3560";"Onkologie";""
+3;"3561";"3561";"Schlafmedizin";""
+2;"36";"36";"Chirurgie und An�sthesiologie";""
+3;"3601";"3601";"Akupunktur";""
+3;"3602";"3602";"Allgemeine Chirurgie";""
+3;"3603";"3603";"An�sthesiologie";""
+3;"3604";"3604";"Bluttransfusionskunde";""
+3;"3605";"3605";"Experimentelle Chirurgie";""
+3;"3606";"3606";"Intensivmedizin";""
+3;"3607";"3607";"Kieferchirurgie";""
+3;"3608";"3608";"Kinderchirurgie";""
+3;"3609";"3609";"Mikrochirurgie";""
+3;"3610";"3610";"Neurochirurgie";""
+3;"3611";"3611";"Nuklearmedizin";""
+3;"3612";"3612";"Orthop�die";""
+3;"3613";"3613";"Plastische und Wiederherstellungschirurgie";""
+3;"3614";"3614";"Transplantationschirurgie";""
+3;"3615";"3615";"Unfallchirurgie";""
+3;"3616";"3616";"Gef��chirurgie";""
+3;"3617";"3617";"Herzchirurgie";""
+3;"3618";"3618";"Thorax- und Hyperbare Chirurgie";""
+3;"3619";"3619";"Gastro-intestinale Chirurgie";""
+3;"3620";"3620";"Implantologie";""
+3;"3621";"3621";"Laserchirurgie";""
+3;"3622";"3622";"Onkologische Chirurgie";""
+3;"3623";"3623";"Schmerztherapie";""
+3;"3624";"3624";"Notfallmedizin";""
+3;"3625";"3625";"Navigationschirurgie";""
+3;"3626";"3626";"Polytraumaversorgung";""
+2;"37";"37";"Psychiatrie und Neurologie";""
+3;"3701";"3701";"Forensische Psychiatrie";""
+3;"3702";"3702";"Hirnforschung";""
+3;"3703";"3703";"H�r-, Stimm- und Sprachst�rungen";""
+3;"3704";"3704";"Kinder- und Jugendpsychiatrie";""
+3;"3705";"3705";"Klinische Psychiatrie";""
+3;"3706";"3706";"Medizinische Psychologie";""
+3;"3707";"3707";"Medizinische Psychotherapie";""
+3;"3708";"3708";"Mikrochirurgie";""
+3;"3709";"3709";"Neurochirurgie";""
+3;"3710";"3710";"Neurologie";""
+3;"3711";"3711";"Neuropathologie";""
+3;"3712";"3712";"Neuropharmakologie";""
+3;"3713";"3713";"Neuro- und Sinnesphysiologie";""
+3;"3714";"3714";"Psychoanalyse";""
+3;"3715";"3715";"Psychopathologie";""
+3;"3716";"3716";"Psychopharmakologie";""
+3;"3717";"3717";"Psychosomatik";""
+3;"3718";"3718";"Rehabilitationsforschung";""
+3;"3719";"3719";"Sozialpsychiatrie";""
+3;"3720";"3720";"Suchtforschung";""
+3;"3721";"3721";"Tiefenpsychologie";""
+3;"3722";"3722";"Verhaltenstherapie";""
+3;"3723";"3723";"Sonder- und Heilp�dagogik";""
+3;"3724";"3724";"Neuro-, Psychoimmunologie";""
+3;"3725";"3725";"Diagnostik in der Medizin";""
+3;"3726";"3726";"Linguistik, klinische -, Neuro-,";""
+3;"3727";"3727";"Neuropsychologie";""
+3;"3728";"3728";"Stressforschung";""
+3;"3729";"3729";"Klinische Neurowissenschaften";""
+2;"38";"38";"Gerichtsmedizin";""
+3;"3801";"3801";"Forensische Psychiatrie";""
+3;"3802";"3802";"Gerichtliche Humanmedizin";""
+3;"3803";"3803";"Gerichtliche Veterin�rmedizin";""
+3;"3804";"3804";"Gerichtliche Chemie";""
+3;"3805";"3805";"DNA-Analyse (auch: genetischer Fingerabdruck)";""
+3;"3806";"3806";"Blutspurenanalyse";""
+3;"3807";"3807";"Forensische Radiologie";""
+2;"39";"39";"Sonstige und interdisziplin�re Humanmedizin";""
+3;"3901";"3901";"Biostatistik";""
+3;"3902";"3902";"Elektronenmikroskopie";""
+3;"3903";"3903";"Geschichte der Medizin";""
+3;"3904";"3904";"Hom�opathie";""
+3;"3905";"3905";"Humanmedizin interdisziplin�r";""
+3;"3906";"3906";"Medizinische Computerwissenschaften";""
+3;"3907";"3907";"Medizinische Dokumentation";""
+3;"3908";"3908";"Medizinische Kybernetik";""
+3;"3909";"3909";"Medizinische Statistik";""
+3;"3910";"3910";"Verkehrsmedizin";""
+3;"3911";"3911";"�konomie des Gesundheitswesens";""
+3;"3912";"3912";"Computerunterst�tzte Diagnose und Therapie";""
+3;"3913";"3913";"Gentechnik, -technologie";""
+3;"3914";"3914";"Gerontologie";""
+3;"3915";"3915";"Medizinsoziologie";""
+3;"3916";"3916";"Ergonomie";""
+3;"3917";"3917";"Ern�hrungswissenschaften";""
+3;"3918";"3918";"Fachdidaktik (Humanmedizin)";""
+3;"3919";"3919";"Krankenhaus�konomie";""
+3;"3920";"3920";"Notfallmedizin";""
+3;"3921";"3921";"Patientenrechte";""
+3;"3922";"3922";"Umweltmedizin";""
+3;"3923";"3923";"Medizinische Ethik";""
+3;"3924";"3924";"Bioinformatik";""
+3;"3925";"3925";"Gesundheitswissenschaften";""
+3;"3926";"3926";"Krankenhaushygiene";""
+3;"3927";"3927";"Medizinische Informatik";""
+3;"3928";"3928";"Pflegewissenschaft";""
+3;"3929";"3929";"Biotechnologie";""
+3;"3930";"3930";"Gender Studies (Humanmedizin)";""
+3;"3931";"3931";"Sportwissenschaften";""
+3;"3932";"3932";"Ersatzmethoden zu Tierversuchen";""
+1;"4";"4";"LAND- UND FORSTWIRTSCHAFT, VETERIN�RMEDIZIN";""
+2;"41";"41";"Ackerbau, Pflanzenzucht, Pflanzenschutz";""
+3;"4101";"4101";"Ackerbau";""
+3;"4102";"4102";"Bew�sserungswirtschaft";""
+3;"4103";"4103";"Getreidebau, Getreide";""
+3;"4104";"4104";"Landwirtschaftlich-bakteriologische Untersuchungen";""
+3;"4105";"4105";"Landwirtschaftlich-chemische Untersuchungen";""
+3;"4106";"4106";"Landwirtschaftliche Maschinen und Ger�te";""
+3;"4107";"4107";"Lebensmitteltechnologie";""
+3;"4108";"4108";"M�llerei (Mehl)";""
+3;"4109";"4109";"Pflanzenbau";""
+3;"4110";"4110";"Pflanzenschutz";""
+3;"4111";"4111";"Pflanzenzucht";""
+3;"4112";"4112";"Saatzucht";""
+3;"4113";"4113";"Samenzucht und -pr�fung";""
+3;"4115";"4115";"Bodenuntersuchungen";""
+3;"4116";"4116";"Agrar�kologie";""
+3;"4117";"4117";"Biologischer Landbau";""
+3;"4118";"4118";"Erneuerbare Energie (auch: Energietr�ger, Rohstoffe)";""
+3;"4119";"4119";"Nachwachsende Rohstoffe";""
+3;"4120";"4120";"Pflanzenern�hrung und -d�ngung";""
+3;"4121";"4121";"Tropischer und subtropischer Pflanzenbau";""
+3;"4122";"4122";"Landwirtschaftlich-virologische Untersuchungen";""
+2;"42";"42";"Gartenbau, Obstbau";""
+3;"4201";"4201";"Bew�sserungswirtschaft";""
+3;"4202";"4202";"Gartenbau";""
+3;"4203";"4203";"Gr�nraumgestaltung";""
+3;"4204";"4204";"Landwirtschaftliche Maschinen und Ger�te";""
+3;"4205";"4205";"Lebensmitteltechnologie";""
+3;"4206";"4206";"Obstbau";""
+3;"4207";"4207";"Obstbaumschutz";""
+3;"4208";"4208";"Spezialkulturen";""
+3;"4209";"4209";"Versuchsanlagen f�r Obstbau";""
+3;"4210";"4210";"Weinbau";""
+3;"4211";"4211";"Bodenuntersuchungen";""
+3;"4212";"4212";"Biologischer Landbau";""
+3;"4213";"4213";"Gem�sebau";""
+3;"4214";"4214";"Gartenkunst";""
+3;"4215";"4215";"Zierpflanzenbau";""
+2;"43";"43";"Forst- und Holzwirtschaft";""
+3;"4301";"4301";"Forstentomologie";""
+3;"4302";"4302";"Forstliche Wirtschaftslehre";""
+3;"4303";"4303";"Forstliches Bauwesen";""
+3;"4304";"4304";"Forstliches Ingenieurwesen";""
+3;"4305";"4305";"Forst�kologie";""
+3;"4306";"4306";"Forstschutz";""
+3;"4307";"4307";"Forsttechnik";""
+3;"4308";"4308";"Forst- und Holzwirtschaftspolitik";""
+3;"4309";"4309";"Forstwirtschaft";""
+3;"4310";"4310";"Holzchemie";""
+3;"4311";"4311";"Holzforschung";""
+3;"4312";"4312";"Holzschutz";""
+3;"4313";"4313";"Holztechnologie";""
+3;"4314";"4314";"Holzwirtschaft";""
+3;"4315";"4315";"Waldbau";""
+3;"4316";"4316";"Zellstoff- und Papiertechnik";""
+3;"4317";"4317";"Bodenuntersuchungen";""
+3;"4318";"4318";"Nachwachsende Rohstoffe";""
+3;"4319";"4319";"Forstpathologie";""
+2;"44";"44";"Viehzucht, Tierproduktion";""
+3;"4401";"4401";"Bienenkunde";""
+3;"4402";"4402";"Fischereiwirtschaft";""
+3;"4403";"4403";"Fischkunde";""
+3;"4404";"4404";"Fleischhygiene";""
+3;"4405";"4405";"Fleischtechnologie";""
+3;"4406";"4406";"Haustiergenetik";""
+3;"4408";"4408";"K�serei";""
+3;"4409";"4409";"K�nstliche Besamung";""
+3;"4410";"4410";"Lebensmitteltechnologie";""
+3;"4411";"4411";"Lebensmitteluntersuchung";""
+3;"4412";"4412";"Mast- und Schlachtleistungen";""
+3;"4413";"4413";"Mikrobiologie";""
+3;"4414";"4414";"Milchhygiene";""
+3;"4415";"4415";"Milchtechnologie";""
+3;"4416";"4416";"Milchwirtschaft";""
+3;"4417";"4417";"Schweinepr�fung";""
+3;"4418";"4418";"Tierern�hrung";""
+3;"4419";"4419";"Tierproduktion";""
+3;"4420";"4420";"Tierzucht";""
+3;"4421";"4421";"Versuchstierkunde, -zucht";""
+3;"4422";"4422";"Wildtierkunde";""
+3;"4423";"4423";"Futtermitteluntersuchung";""
+3;"4425";"4425";"Nutztierethologie";""
+3;"4426";"4426";"Tierhaltung";""
+3;"4427";"4427";"Gefl�gelmedizin";""
+2;"45";"45";"Veterin�rmedizin";""
+3;"4501";"4501";"Bakteriologie (Tiere)";""
+3;"4502";"4502";"Elektronenmikroskopie";""
+3;"4503";"4503";"Gerichtliche Veterin�rmedizin";""
+3;"4504";"4504";"Huf- und Klauenkunde";""
+3;"4505";"4505";"Lebensmitteluntersuchung";""
+3;"4506";"4506";"Medizinische Biochemie (Tiere)";""
+3;"4507";"4507";"Medizinische Chemie (Tiere)";""
+3;"4508";"4508";"Medizinische Physik (Tiere)";""
+3;"4509";"4509";"Tieranatomie";""
+3;"4510";"4510";"Tier-Augenheilkunde";""
+3;"4511";"4511";"Tier-Chirurgie";""
+3;"4512";"4512";"Tierembryologie";""
+3;"4513";"4513";"Tierern�hrung";""
+3;"4514";"4514";"Tier-Geburtshilfe";""
+3;"4515";"4515";"Tier-Gyn�kologie";""
+3;"4516";"4516";"Tierhistologie";""
+3;"4517";"4517";"Tierhygiene";""
+3;"4518";"4518";"Tier-Orthop�die";""
+3;"4519";"4519";"Tierparasitologie";""
+3;"4520";"4520";"Tierpathologie";""
+3;"4521";"4521";"Tierphysiologie";""
+3;"4522";"4522";"Tier-R�ntgenologie";""
+3;"4523";"4523";"Tierseuchenbek�mpfung";""
+3;"4524";"4524";"Virologie (Tiere)";""
+3;"4525";"4525";"Wildtierkunde";""
+3;"4526";"4526";"Zoologie";""
+3;"4527";"4527";"Pharmakologie (Tiere)";""
+3;"4528";"4528";"Tier-Andrologie";""
+3;"4529";"4529";"Tier-Unfallchirurgie";""
+3;"4530";"4530";"Tier-Zahnheilkunde";""
+3;"4531";"4531";"Toxikologie (Tiere)";""
+3;"4532";"4532";"Tier-An�sthesiologie";""
+3;"4533";"4533";"Tiercytologie";""
+3;"4534";"4534";"Tier-Interne Medizin";""
+3;"4536";"4536";"Vogelmedizin, Zier-";""
+3;"4537";"4537";"Immunologie (Tiere)";""
+3;"4538";"4538";"Laboratoriumsdiagnostik (Tiere)";""
+3;"4539";"4539";"Tierneurologie";""
+3;"4540";"4540";"Diagnostik in der Veterin�rmedizin";""
+3;"4541";"4541";"Geschichte der Veterin�rmedizin";""
+3;"4542";"4542";"Phytotherapie (Tiere)";""
+2;"49";"49";"Sonstige und interdisziplin�re Land- und Forstwirtschaft";""
+3;"4901";"4901";"ADV, EDV in der Land- und Forstwirtschaft";""
+3;"4902";"4902";"Agrarische Operationen";""
+3;"4903";"4903";"Agrar�konomie";""
+3;"4904";"4904";"Agrarpolitik";""
+3;"4905";"4905";"Bew�sserungswirtschaft";""
+3;"4906";"4906";"G�rungstechnologie";""
+3;"4907";"4907";"Land- und Forstwirtschaft interdisziplin�r";""
+3;"4908";"4908";"Land- und forstwirtschaftliche Dokumentation";""
+3;"4909";"4909";"Landwirtschaftliche Betriebswirtschaft";""
+3;"4910";"4910";"Landwirtschaftliche Marktlehre";""
+3;"4911";"4911";"Landwirtschaftliche Maschinen und Ger�te";""
+3;"4912";"4912";"Landwirtschaftliches Bauwesen";""
+3;"4913";"4913";"Lebensmitteltechnologie";""
+3;"4914";"4914";"Lebensmitteluntersuchung";""
+3;"4915";"4915";"Bodenuntersuchungen";""
+3;"4916";"4916";"Ern�hrungswirtschaft";""
+3;"4917";"4917";"Biotechnologie";""
+3;"4918";"4918";"Gentechnik, -technologie";""
+3;"4919";"4919";"Ern�hrungswissenschaften";""
+3;"4920";"4920";"Fachdidaktik (Land- und Forstwirtschaft, Veterin�rmedizin)";""
+3;"4921";"4921";"Agrar�kologie";""
+3;"4922";"4922";"Umweltschutz";""
+3;"4923";"4923";"Agrarmeteorologie";""
+3;"4924";"4924";"Nachhaltige Entwicklung, Nachhaltiges Wirtschaften";""
+3;"4925";"4925";"Fermentierung";""
+3;"4926";"4926";"Populationsgenetik";""
+1;"5";"5";"SOZIALWISSENSCHAFTEN";""
+2;"51";"51";"Politikwissenschaft";""
+3;"5101";"5101";"Allgemeine Staatslehre";""
+3;"5102";"5102";"Entwicklungshilfe";""
+3;"5103";"5103";"Friedensforschung";""
+3;"5104";"5104";"Ideologiekritik";""
+3;"5105";"5105";"Internationale Beziehungen";""
+3;"5106";"5106";"Philosophie der Politik";""
+3;"5107";"5107";"Politik und �ffentliches Recht";""
+3;"5108";"5108";"Politische Theorie";""
+3;"5109";"5109";"Politische Systeme";""
+3;"5111";"5111";"Rechts- und Staatsphilosophie";""
+3;"5112";"5112";"Europarecht";""
+3;"5113";"5113";"Forschungsrecht, -politik";""
+3;"5114";"5114";"Politische Bildung";""
+3;"5115";"5115";"Europ�ische Integration";""
+3;"5116";"5116";"F�deralismusforschung";""
+3;"5117";"5117";"Konfliktforschung";""
+3;"5118";"5118";"Politikwissenschaft";""
+3;"5119";"5119";"Entwicklungspolitik";""
+3;"5120";"5120";"Politikfeldanalyse";""
+2;"52";"52";"Rechtswissenschaften";""
+3;"5201";"5201";"Agrarrecht";""
+3;"5202";"5202";"Allgemeines Verfahrensrecht";""
+3;"5203";"5203";"Arbeitsrecht";""
+3;"5204";"5204";"B�rgerliches Recht (auch: -, allgemeiner Teil)";""
+3;"5205";"5205";"Energierecht";""
+3;"5206";"5206";"Finanzrecht";""
+3;"5207";"5207";"Genossenschaftsrecht";""
+3;"5208";"5208";"Gesellschaftsrecht";""
+3;"5209";"5209";"Haftpflichtrecht";""
+3;"5210";"5210";"Unternehmensrecht";""
+3;"5211";"5211";"Internationale Beziehungen";""
+3;"5212";"5212";"Internationales Privatrecht";""
+3;"5213";"5213";"Kartellrecht";""
+3;"5214";"5214";"Kirchenrecht";""
+3;"5215";"5215";"Kriminologie";""
+3;"5216";"5216";"Mietrecht";""
+3;"5217";"5217";"�ffentliches Recht";""
+3;"5218";"5218";"Verfassungsrecht (�sterreichisches -, europ�isches -)";""
+3;"5219";"5219";"�sterreichisches Verwaltungsrecht";""
+3;"5220";"5220";"Privatrecht";""
+3;"5221";"5221";"Rechtsdokumentation";""
+3;"5222";"5222";"Rechtsgeschichte";""
+3;"5223";"5223";"Rechtsphilosophie";""
+3;"5224";"5224";"Rechtsvergleichung";""
+3;"5225";"5225";"R�misches Recht";""
+3;"5226";"5226";"Sozialrecht";""
+3;"5227";"5227";"Sozialversicherungsrecht";""
+3;"5228";"5228";"Staatsrecht";""
+3;"5229";"5229";"Strafprozessrecht";""
+3;"5230";"5230";"Strafrecht";""
+3;"5231";"5231";"Urheber- und Verlagsrecht";""
+3;"5232";"5232";"Verkehrsrecht";""
+3;"5233";"5233";"Versicherungsrecht";""
+3;"5234";"5234";"Verwaltungslehre";""
+3;"5235";"5235";"V�lkerrecht";""
+3;"5236";"5236";"Wertpapierrecht";""
+3;"5237";"5237";"Wirtschaftsrecht";""
+3;"5238";"5238";"Zivilverfahrensrecht";""
+3;"5239";"5239";"Zivilrecht";""
+3;"5240";"5240";"Europarecht";""
+3;"5241";"5241";"Staatskirchenrecht";""
+3;"5242";"5242";"Umweltrecht";""
+3;"5243";"5243";"Frauenforschung, -fragen";""
+3;"5244";"5244";"Forschungsrecht, -politik";""
+3;"5245";"5245";"Medienrecht";""
+3;"5246";"5246";"Medizinrecht";""
+3;"5247";"5247";"Menschenrechte (auch: Schutz der -)";""
+3;"5248";"5248";"Patientenrechte";""
+3;"5249";"5249";"Raumordnungsrecht";""
+3;"5250";"5250";"Rechtsinformatik";""
+3;"5251";"5251";"Rechtstheorie";""
+3;"5252";"5252";"Grund- und Menschenrechte";""
+3;"5253";"5253";"Konsumentenschutzrecht";""
+3;"5254";"5254";"Wohnrecht";""
+3;"5255";"5255";"Datenschutz und Datensicherheit";""
+3;"5256";"5256";"Baurecht";""
+3;"5257";"5257";"Familien- und Erbrecht";""
+3;"5258";"5258";"F�deralismusforschung";""
+3;"5259";"5259";"Gewerberecht";""
+3;"5260";"5260";"Informationsrecht";""
+3;"5261";"5261";"Verfassungsvergleich (europ�ischer -, internationaler -)";""
+3;"5262";"5262";"Mediation";""
+3;"5263";"5263";"Sachenrecht";""
+3;"5264";"5264";"Schuldrecht";""
+3;"5265";"5265";"Verfassungslehre";""
+3;"5266";"5266";"Verfassungsrecht, allgemein";""
+3;"5267";"5267";"Verwaltungsrecht, allgemein";""
+3;"5268";"5268";"Rechtspsychologie";""
+3;"5269";"5269";"Rechtssoziologie";""
+3;"5270";"5270";"Wettbewerbsrecht";""
+3;"5271";"5271";"Patentrecht";""
+3;"5272";"5272";"Bankrecht";""
+3;"5273";"5273";"Allgemeine Staatslehre";""
+3;"5274";"5274";"Kapitalmarktrecht";""
+2;"53";"53";"Wirtschaftswissenschaften";""
+3;"5301";"5301";"Absatzwirtschaft";""
+3;"5302";"5302";"Agrar�konomie";""
+3;"5303";"5303";"Agrarpolitik";""
+3;"5304";"5304";"Arbeitsmarktforschung";""
+3;"5305";"5305";"Bankbetriebslehre";""
+3;"5306";"5306";"Betriebliche Datenverarbeitung";""
+3;"5307";"5307";"Betriebswirtschaftslehre";""
+3;"5308";"5308";"Betriebswissenschaften";""
+3;"5309";"5309";"Entwicklungshilfe";""
+3;"5310";"5310";"Fertigungswirtschaft";""
+3;"5311";"5311";"Finanzwissenschaft";""
+3;"5312";"5312";"Fremdenverkehrsforschung";""
+3;"5313";"5313";"Genossenschaftswesen";""
+3;"5314";"5314";"Gewerbeforschung";""
+3;"5315";"5315";"Handelswissenschaft";""
+3;"5316";"5316";"Industriebetriebslehre";""
+3;"5317";"5317";"Industrielle Unternehmensforschung";""
+3;"5318";"5318";"Landwirtschaftliche Betriebswirtschaft";""
+3;"5319";"5319";"Landwirtschaftliche Marktlehre";""
+3;"5320";"5320";"Marketing";""
+3;"5321";"5321";"Marktforschung";""
+3;"5322";"5322";"National�konomie";""
+3;"5323";"5323";"�konometrie";""
+3;"5324";"5324";"Organisationsforschung";""
+3;"5325";"5325";"Politische �konomie";""
+3;"5326";"5326";"Produktionsforschung";""
+3;"5327";"5327";"Rechnungswesen";""
+3;"5328";"5328";"Revisions- und Treuhandwesen";""
+3;"5329";"5329";"Standort�konomie";""
+3;"5330";"5330";"Standortplanung";""
+3;"5331";"5331";"Strukturpolitik";""
+3;"5332";"5332";"Transportwirtschaft";""
+3;"5333";"5333";"Unternehmensf�hrung";""
+3;"5334";"5334";"Volkswirtschaftspolitik";""
+3;"5335";"5335";"Volkswirtschaftstheorie";""
+3;"5336";"5336";"Warenwirtschaftslehre";""
+3;"5337";"5337";"Welthandelslehre";""
+3;"5338";"5338";"Werbewissenschaft";""
+3;"5339";"5339";"Wirtschaftsanalysen";""
+3;"5340";"5340";"Wirtschaftsgeschichte";""
+3;"5341";"5341";"Wirtschaftspolitik";""
+3;"5343";"5343";"Wirtschaftstheorie";""
+3;"5344";"5344";"Au�enhandel";""
+3;"5345";"5345";"Gemeinwirtschaft";""
+3;"5346";"5346";"�konomie des Gesundheitswesens";""
+3;"5347";"5347";"Operations Research";""
+3;"5348";"5348";"Wirtschaftsp�dagogik";""
+3;"5349";"5349";"Steuerlehre, betriebswirtschaftliche -";""
+3;"5350";"5350";"Innovationsforschung";""
+3;"5351";"5351";"�ffentliche Wirtschaft";""
+3;"5352";"5352";"Personalwesen, -wirtschaft";""
+3;"5353";"5353";"Umwelt�konomie";""
+3;"5354";"5354";"Betriebswirtschaftliche Logistik";""
+3;"5355";"5355";"Computerintegrierte Fertigung (CIM)";""
+3;"5356";"5356";"Krankenhaus�konomie";""
+3;"5357";"5357";"Unternehmensberatung";""
+3;"5358";"5358";"Betriebliche Finanzwirtschaft";""
+3;"5359";"5359";"Controlling";""
+3;"5360";"5360";"Finanzmathematik";""
+3;"5361";"5361";"Finanzwirtschaft";""
+3;"5362";"5362";"Kultur�konomie";""
+3;"5363";"5363";"Non-Profit-Sector-Forschung (NPO, NPI)";""
+3;"5364";"5364";"Projektmanagement";""
+3;"5365";"5365";"Qualit�tsmanagement";""
+3;"5366";"5366";"Informationsgesellschaft";""
+3;"5367";"5367";"Wirtschaftsinformatik";""
+3;"5368";"5368";"Nachhaltige Entwicklung, Nachhaltiges Wirtschaften";""
+3;"5369";"5369";"Umweltmanagement";""
+3;"5370";"5370";"Industrie�konomik";""
+3;"5371";"5371";"Makro�konomie";""
+3;"5372";"5372";"Regulierungs�konomik";""
+2;"54";"54";"Soziologie";""
+3;"5401";"5401";"Allgemeine Sozialforschung";""
+3;"5402";"5402";"Allgemeine Soziologie";""
+3;"5403";"5403";"Bildungssoziologie";""
+3;"5404";"5404";"Demographie";""
+3;"5405";"5405";"Empirische Sozialforschung";""
+3;"5406";"5406";"Entwicklungshilfe";""
+3;"5407";"5407";"Ethik und Sozialwissenschaften";""
+3;"5408";"5408";"Friedensforschung";""
+3;"5409";"5409";"Kirchliche Sozialforschung";""
+3;"5410";"5410";"Kulturwissenschaft";""
+3;"5411";"5411";"Sozialphilosophie";""
+3;"5412";"5412";"Soziographie";""
+3;"5413";"5413";"Soziologische Methoden";""
+3;"5414";"5414";"Spezielle Soziologie";""
+3;"5415";"5415";"Wirtschaftssoziologie";""
+3;"5416";"5416";"Betriebssoziologie";""
+3;"5417";"5417";"Frauenforschung, -fragen";""
+3;"5418";"5418";"Gerontologie";""
+3;"5419";"5419";"Medizinsoziologie";""
+3;"5420";"5420";"Musiksoziologie";""
+3;"5421";"5421";"Alternsforschung";""
+3;"5422";"5422";"Feminismusfragen";""
+3;"5423";"5423";"Kinderforschung, Jugendforschung";""
+3;"5424";"5424";"P�dagogische Soziologie";""
+3;"5425";"5425";"Umweltsoziologie";""
+3;"5426";"5426";"Informationsgesellschaft";""
+3;"5427";"5427";"Armutsforschung, soziale Ausgrenzung";""
+3;"5428";"5428";"Migrationsforschung, Emigrations-";""
+3;"5429";"5429";"Familienforschung";""
+3;"5430";"5430";"Rechtssoziologie";""
+3;"5431";"5431";"Techniksoziologie";""
+3;"5432";"5432";"Freizeitforschung";""
+3;"5433";"5433";"Gender Studies";""
+3;"5434";"5434";"Religionssoziologie";""
+3;"5435";"5435";"Suchtforschung";""
+2;"55";"55";"Psychologie";""
+3;"5501";"5501";"Allgemeine Psychologie";""
+3;"5502";"5502";"Berufs-, Arbeits-, Betriebspsychologie";""
+3;"5503";"5503";"Differentielle Psychologie";""
+3;"5504";"5504";"Experimentelle Psychologie";""
+3;"5505";"5505";"Kinder- und Jugendpsychologie";""
+3;"5506";"5506";"Lernpsychologie";""
+3;"5507";"5507";"Motivationspsychologie";""
+3;"5508";"5508";"P�dagogische Psychologie";""
+3;"5509";"5509";"Psychologische Methodik";""
+3;"5510";"5510";"Psychotherapie";""
+3;"5511";"5511";"Sozialpsychologie";""
+3;"5512";"5512";"Tiefenpsychologie";""
+3;"5513";"5513";"Verhaltenspsychologie";""
+3;"5514";"5514";"Verkehrspsychologie";""
+3;"5515";"5515";"Wahrnehmungspsychologie";""
+3;"5516";"5516";"Klinische Psychologie";""
+3;"5517";"5517";"Organisationspsychologie";""
+3;"5518";"5518";"Parapsychologie";""
+3;"5519";"5519";"Pastoralpsychologie";""
+3;"5520";"5520";"Behindertenfragen, -forschung";""
+3;"5521";"5521";"Kognitionspsychologie";""
+3;"5522";"5522";"Psychophysiologie";""
+3;"5523";"5523";"Rechtspsychologie";""
+3;"5524";"5524";"Entwicklungspsychologie";""
+3;"5525";"5525";"Familienforschung";""
+3;"5526";"5526";"Konfliktforschung";""
+3;"5527";"5527";"Mediation";""
+3;"5528";"5528";"Sexualwissenschaften, -kunde";""
+3;"5529";"5529";"Gruppendynamik";""
+3;"5530";"5530";"Psychoanalyse";""
+3;"5531";"5531";"Verhaltenstherapie";""
+3;"5532";"5532";"Angewandte Psychologie";""
+3;"5533";"5533";"Suchtforschung";""
+2;"56";"56";"Raumplanung";""
+3;"5601";"5601";"Fl�chenwidmung";""
+3;"5602";"5602";"Landesplanung";""
+3;"5603";"5603";"Landschaftspflege";""
+3;"5604";"5604";"Naturschutz(-forschung)";""
+3;"5605";"5605";"�rtliche Raumplanung";""
+3;"5606";"5606";"Raumforschung";""
+3;"5607";"5607";"Raumordnung";""
+3;"5608";"5608";"Regionalentwicklung, -splanung";""
+3;"5609";"5609";"St�dtebau";""
+3;"5610";"5610";"Stadtentwicklungsplanung";""
+3;"5611";"5611";"Stadt- und Regionalanalyse";""
+3;"5612";"5612";"Standort�konomie";""
+3;"5613";"5613";"Standortplanung";""
+3;"5614";"5614";"Umweltgestaltung";""
+3;"5615";"5615";"Verkehrsplanung, -sicherheit";""
+3;"5616";"5616";"Geographische Informationssysteme (GIS)";""
+3;"5617";"5617";"Landschaftsplanung";""
+3;"5618";"5618";"Regional�konomie";""
+3;"5619";"5619";"Landschafts�kologie";""
+3;"5620";"5620";"Kulturlandschaftsforschung";""
+3;"5621";"5621";"Landschaftsarchitektur";""
+2;"57";"57";"Angewandte Statistik, Sozialstatistik";""
+3;"5701";"5701";"Angewandte Statistik";""
+3;"5702";"5702";"Bev�lkerungsstatistik";""
+3;"5703";"5703";"Demographie";""
+3;"5704";"5704";"Sozialstatistik";""
+3;"5705";"5705";"Statistische Erhebungen";""
+3;"5706";"5706";"Wirtschaftsstatistik";""
+3;"5707";"5707";"Zeitreihenanalyse";""
+2;"58";"58";"P�dagogik, Erziehungswissenschaften";""
+3;"5801";"5801";"Allgemeine P�dagogik";""
+3;"5802";"5802";"Angewandte P�dagogik";""
+3;"5803";"5803";"Bildungsforschung";""
+3;"5804";"5804";"Bildungs�konomie";""
+3;"5805";"5805";"Bildungsplanung";""
+3;"5806";"5806";"Bildungssoziologie";""
+3;"5807";"5807";"Didaktik";""
+3;"5808";"5808";"Hochschuldidaktik";""
+3;"5809";"5809";"Sportp�dagogik";""
+3;"5810";"5810";"Lernpsychologie";""
+3;"5811";"5811";"Motivationspsychologie";""
+3;"5812";"5812";"P�dagogische Psychologie";""
+3;"5813";"5813";"Schulp�dagogik";""
+3;"5814";"5814";"Sportwissenschaften";""
+3;"5815";"5815";"Theoretische P�dagogik";""
+3;"5816";"5816";"Unterrichtswissenschaft";""
+3;"5817";"5817";"Vergleichende Erziehungswissenschaft";""
+3;"5818";"5818";"Wirtschaftsp�dagogik";""
+3;"5819";"5819";"Berufsp�dagogik";""
+3;"5820";"5820";"Betriebsp�dagogik";""
+3;"5821";"5821";"Erwachsenenbildung";""
+3;"5822";"5822";"Medienp�dagogik";""
+3;"5823";"5823";"Sozialp�dagogik";""
+3;"5824";"5824";"Sonder- und Heilp�dagogik";""
+3;"5825";"5825";"Atem- und Stimmerziehung";""
+3;"5826";"5826";"Freizeitp�dagogik";""
+3;"5827";"5827";"Museumsp�dagogik";""
+3;"5828";"5828";"Fachdidaktik (Naturwissenschaften)";""
+3;"5829";"5829";"Fachdidaktik (Technische Wissenschaften)";""
+3;"5830";"5830";"Fachdidaktik (Humanmedizin)";""
+3;"5831";"5831";"Fachdidaktik (Land- und Forstwirtschaft, Veterin�rmedizin)";""
+3;"5832";"5832";"Fachdidaktik (Sozialwissenschaften)";""
+3;"5833";"5833";"Fachdidaktik (Geisteswissenschaften)";""
+3;"5834";"5834";"Behindertenfragen, -forschung";""
+3;"5835";"5835";"P�dagogische Soziologie";""
+3;"5836";"5836";"Schulmathematik und Didaktik der Mathematik";""
+3;"5837";"5837";"Gruppendynamik";""
+3;"5838";"5838";"E-Learning, Telelearning";""
+3;"5839";"5839";"Trainingswissenschaft";""
+3;"5840";"5840";"Musikp�dagogik";""
+3;"5841";"5841";"Begabungs- und Begabtenforschung";""
+3;"5842";"5842";"Politische Bildung";""
+2;"59";"59";"Sonstige und interdisziplin�re Sozialwissenschaften";""
+3;"5901";"5901";"Allgemeine Sozialforschung";""
+3;"5902";"5902";"Arbeitsmarktforschung";""
+3;"5903";"5903";"Arbeitsmarktpolitik";""
+3;"5904";"5904";"Arbeitswissenschaft";""
+3;"5905";"5905";"Berufsberatung";""
+3;"5906";"5906";"Bildungs�konomie";""
+3;"5907";"5907";"Entwicklungshilfe";""
+3;"5908";"5908";"Kulturgeographie";""
+3;"5909";"5909";"Regionale Geographie";""
+3;"5910";"5910";"Milit�rstrategische Forschung";""
+3;"5911";"5911";"Sozialpolitik";""
+3;"5912";"5912";"Sozialwissenschaften interdisziplin�r";""
+3;"5913";"5913";"Sozialwissenschaftliche Dokumentation";""
+3;"5914";"5914";"Umweltforschung";""
+3;"5915";"5915";"Wirtschaftsgeographie";""
+3;"5916";"5916";"Berufskunde";""
+3;"5917";"5917";"Kommunikationswissenschaft";""
+3;"5918";"5918";"Medienforschung, -kunde";""
+3;"5919";"5919";"Operations Research";""
+3;"5920";"5920";"Publizistik";""
+3;"5921";"5921";"Sozialgeographie";""
+3;"5922";"5922";"Systemanalyse";""
+3;"5923";"5923";"Technikfolgenabsch�tzung";""
+3;"5924";"5924";"Umwelt�konomie";""
+3;"5925";"5925";"Zivil- und Katastrophenschutz";""
+3;"5926";"5926";"Fachdidaktik (Sozialwissenschaften)";""
+3;"5927";"5927";"Ethnographie";""
+3;"5928";"5928";"Ethnologie / V�lkerkunde";""
+3;"5929";"5929";"Ethnosoziologie";""
+3;"5930";"5930";"Kulturanthropologie";""
+3;"5932";"5932";"Europ�ische Ethnologie / Volkskunde";""
+3;"5933";"5933";"Alternsforschung";""
+3;"5934";"5934";"Behindertenfragen, -forschung";""
+3;"5935";"5935";"Frauenforschung, -fragen";""
+3;"5936";"5936";"Forschungs- und Innovationsmanagement";""
+3;"5937";"5937";"Informationssysteme";""
+3;"5938";"5938";"Kinderforschung, Jugendforschung";""
+3;"5939";"5939";"Umweltschutz";""
+3;"5940";"5940";"Volksgruppen, -forschung";""
+3;"5941";"5941";"Informationsgesellschaft";""
+3;"5942";"5942";"Europ�ische Integration";""
+3;"5943";"5943";"Risikoforschung";""
+3;"5944";"5944";"Technologietransfer";""
+3;"5945";"5945";"Organisationsentwicklung";""
+3;"5946";"5946";"Kooperation Wissenschaft-Wirtschaft";""
+3;"5947";"5947";"Minderheitenforschung";""
+3;"5948";"5948";"Aktionsforschung (Actions Research)";""
+3;"5949";"5949";"Audiovisuelle Medien";""
+3;"5950";"5950";"Ecodesign";""
+3;"5951";"5951";"E-Government";""
+3;"5952";"5952";"Migrationsforschung, Emigrations-";""
+3;"5953";"5953";"Spieltheorie";""
+3;"5954";"5954";"Wissensmanagement";""
+3;"5955";"5955";"Zukunftsforschung interdisziplin�r";""
+3;"5956";"5956";"Freizeitforschung";""
+3;"5957";"5957";"Gender Studies (Sozialwissenschaften)";""
+3;"5958";"5958";"Geschichte der Sozialwissenschaften";""
+3;"5959";"5959";"Unfallforschung";""
+3;"5960";"5960";"Spielforschung";""
+3;"5961";"5961";"Bev�lkerungsgeographie";""
+3;"5962";"5962";"Entwicklungszusammenarbeit";""
+3;"5963";"5963";"Evaluationsforschung";""
+3;"5964";"5964";"Wissenschaftsforschung";""
+3;"5965";"5965";"Graffiti-Forschung";""
+3;"5966";"5966";"Journalistik";""
+1;"6";"6";"GEISTESWISSENSCHAFTEN";""
+2;"61";"61";"Philosophie";""
+3;"6101";"6101";"Allgemeine Philosophie";""
+3;"6102";"6102";"Erkenntnistheorie";""
+3;"6103";"6103";"Ethik";""
+3;"6104";"6104";"Geschichtsphilosophie";""
+3;"6105";"6105";"Logik";""
+3;"6106";"6106";"Metaphysik";""
+3;"6107";"6107";"Naturphilosophie";""
+3;"6108";"6108";"Philosophische Gesellschaftslehre";""
+3;"6109";"6109";"Philosophische Soziologie";""
+3;"6110";"6110";"Rechts- und Staatsphilosophie";""
+3;"6111";"6111";"Wissenschaftstheorie";""
+3;"6112";"6112";"Sprachphilosophie";""
+3;"6113";"6113";"�sthetik";""
+3;"6114";"6114";"Philosophische Anthropologie";""
+3;"6115";"6115";"Religionsphilosophie";""
+3;"6116";"6116";"Hermeneutik";""
+3;"6117";"6117";"Medizinische Ethik";""
+3;"6118";"6118";"Technikphilosophie";""
+3;"6119";"6119";"Sozialphilosophie";""
+3;"6120";"6120";"Wissenschaftsgeschichte";""
+3;"6121";"6121";"Bioethik";""
+3;"6122";"6122";"Kulturphilosophie";""
+3;"6123";"6123";"Wirtschaftsethik";""
+2;"64";"64";"Theologie";""
+3;"6401";"6401";"Alttestamentliche Bibelwissenschaft";""
+3;"6402";"6402";"Atheismusforschung";""
+3;"6403";"6403";"Christliche Arch�ologie";""
+3;"6404";"6404";"Christliche Philosophie";""
+3;"6405";"6405";"Dogmatische Theologie";""
+3;"6406";"6406";"Fundamentaltheologie";""
+3;"6407";"6407";"Katechetik";""
+3;"6408";"6408";"Kirchengeschichte";""
+3;"6409";"6409";"Kirchenrecht";""
+3;"6410";"6410";"Liturgiewissenschaft";""
+3;"6411";"6411";"Moraltheologie";""
+3;"6412";"6412";"Neutestamentliche Bibelwissenschaft";""
+3;"6413";"6413";"�kumenische Theologie";""
+3;"6414";"6414";"Pastoraltheologie";""
+3;"6415";"6415";"Patrologie";""
+3;"6416";"6416";"Religionsp�dagogik";""
+3;"6417";"6417";"Religionswissenschaft";""
+3;"6418";"6418";"Theologische Anthropologie";""
+3;"6419";"6419";"Christliche Soziallehre";""
+3;"6420";"6420";"Pastoralpsychologie";""
+3;"6421";"6421";"Religionsphilosophie";""
+3;"6422";"6422";"Exegese";""
+3;"6423";"6423";"Feminismusfragen";""
+3;"6424";"6424";"Religionsgeschichte";""
+3;"6425";"6425";"Spirituelle Theologie";""
+3;"6426";"6426";"Homiletik";""
+3;"6427";"6427";"Religionssoziologie";""
+3;"6428";"6428";"Seelsorge";""
+2;"65";"65";"Historische Wissenschaften";""
+3;"6501";"6501";"Alte Geschichte";""
+3;"6502";"6502";"Altertumskunde";""
+3;"6503";"6503";"Numismatik";""
+3;"6504";"6504";"Archivwesen";""
+3;"6505";"6505";"Fr�hgeschichte";""
+3;"6506";"6506";"Geschichte der �sterreichisch-ungarischen Monarchie";""
+3;"6507";"6507";"Geschichtliche Landeskunde";""
+3;"6508";"6508";"Geschichtswissenschaft";""
+3;"6509";"6509";"Historische Hilfswissenschaften";""
+3;"6510";"6510";"Klassische Arch�ologie";""
+3;"6511";"6511";"Mittelalterliche Geschichte";""
+3;"6512";"6512";"Musealwesen, Museologie";""
+3;"6513";"6513";"Neuere Geschichte";""
+3;"6514";"6514";"�sterreichische Geschichte";""
+3;"6515";"6515";"Osteurop�ische Geschichte";""
+3;"6516";"6516";"Quellenkunde, Quellenedition";""
+3;"6517";"6517";"Rechtsgeschichte";""
+3;"6518";"6518";"Sozialgeschichte";""
+3;"6519";"6519";"S�dosteurop�ische Geschichte";""
+3;"6520";"6520";"Urgeschichte";""
+3;"6521";"6521";"Wirtschaftsgeschichte";""
+3;"6522";"6522";"Zeitgeschichte";""
+3;"6523";"6523";"Arch�ologie";""
+3;"6524";"6524";"Regionalgeschichte";""
+3;"6525";"6525";"Stadtgeschichte";""
+3;"6526";"6526";"Wissenschaftsgeschichte";""
+3;"6527";"6527";"Kulturgeschichte";""
+3;"6528";"6528";"Papyrologie";""
+3;"6529";"6529";"Epigraphik";""
+3;"6530";"6530";"Feminismusfragen";""
+3;"6532";"6532";"Minderheitenforschung";""
+3;"6533";"6533";"Musikgeschichte";""
+3;"6534";"6534";"Geschichte der Geisteswissenschaften";""
+3;"6535";"6535";"Geschichte der Naturwissenschaften";""
+3;"6536";"6536";"Geschichte der Sozialwissenschaften";""
+3;"6537";"6537";"Geschichte der Technischen Wissenschaften";""
+3;"6538";"6538";"Geschichte der Veterin�rmedizin";""
+3;"6539";"6539";"Pal�ographie, Handschriftenkunde";""
+2;"66";"66";"Sprach- und Literaturwissenschaften";""
+3;"6601";"6601";"Allgemeine Literaturwissenschaft";""
+3;"6602";"6602";"Allgemeine Sprachwissenschaft";""
+3;"6603";"6603";"Amerikanistik";""
+3;"6604";"6604";"Angewandte Sprachwissenschaft";""
+3;"6605";"6605";"Anglistik";""
+3;"6606";"6606";"Diachrone Sprachwissenschaft";""
+3;"6607";"6607";"Dolmetscher-, �bersetzerausbildung";""
+3;"6608";"6608";"Germanistik";""
+3;"6609";"6609";"Indogermanistik";""
+3;"6610";"6610";"Klassische Philologie";""
+3;"6611";"6611";"Linguistik";""
+3;"6612";"6612";"Mundartkunde";""
+3;"6613";"6613";"Namenforschung";""
+3;"6614";"6614";"Skandinavistik";""
+3;"6615";"6615";"Romanistik";""
+3;"6616";"6616";"Slawistik";""
+3;"6617";"6617";"Literaturwissenschaft (auch: vergleichende -)";""
+3;"6618";"6618";"Sprachwissenschaft (auch: vergleichende -)";""
+3;"6619";"6619";"Lexikographie";""
+3;"6620";"6620";"Literaturgeschichte";""
+3;"6621";"6621";"Mittellateinische Philologie";""
+3;"6622";"6622";"Psycholinguistik";""
+3;"6623";"6623";"Soziolinguistik";""
+3;"6624";"6624";"Sprachunterrichtsforschung";""
+3;"6625";"6625";"Fachsprachenforschung";""
+3;"6626";"6626";"Hermeneutik";""
+3;"6628";"6628";"Keltologie";""
+3;"6629";"6629";"Terminologie(-wissenschaft)";""
+3;"6630";"6630";"Geb�rdensprachforschung";""
+3;"6631";"6631";"Translations-(Dolmetsch-, �bersetzungs-)wissenschaft";""
+3;"6632";"6632";"Australistik";""
+3;"6633";"6633";"Computerlinguistik";""
+3;"6634";"6634";"Kognitive Linguistik";""
+3;"6635";"6635";"Elektronische Sprachverarbeitung";""
+3;"6636";"6636";"Semiotik";""
+3;"6637";"6637";"Phonetik";""
+3;"6638";"6638";"Gr�zistik";""
+3;"6639";"6639";"Latinistik";""
+3;"6640";"6640";"Finno-Ugristik";""
+3;"6641";"6641";"Neulateinische Philologie";""
+3;"6642";"6642";"Phonologie";""
+3;"6643";"6643";"Synchrone Sprachwissenschaft";""
+3;"6644";"6644";"Nederlandistik";""
+2;"67";"67";"Sonstige philologisch-kulturkundliche Richtungen";""
+3;"6701";"6701";"Afrikanistik";""
+3;"6702";"6702";"�gyptologie";""
+3;"6704";"6704";"Altsemitische Philologie";""
+3;"6705";"6705";"Arabistik";""
+3;"6706";"6706";"Buddhismuskunde";""
+3;"6707";"6707";"Byzantinistik";""
+3;"6709";"6709";"Indologie";""
+3;"6710";"6710";"Islamkunde";""
+3;"6711";"6711";"Japanologie";""
+3;"6712";"6712";"Judaistik";""
+3;"6713";"6713";"Orientalistik";""
+3;"6714";"6714";"Sinologie";""
+3;"6715";"6715";"Tibetologie";""
+3;"6716";"6716";"Turkologie";""
+3;"6717";"6717";"Papyrologie";""
+3;"6718";"6718";"Epigraphik";""
+3;"6719";"6719";"Iranistik";""
+3;"6720";"6720";"Religionsgeschichte";""
+3;"6721";"6721";"Kulturwissenschaft";""
+3;"6723";"6723";"Pal�ographie, Handschriftenkunde";""
+3;"6724";"6724";"Phonetik";""
+3;"6725";"6725";"Koptologie";""
+2;"68";"68";"Kunstwissenschaften";""
+3;"6801";"6801";"Angewandte Kunst";""
+3;"6802";"6802";"Bildende Kunst";""
+3;"6803";"6803";"Darstellende Kunst";""
+3;"6804";"6804";"Denkmalpflege";""
+3;"6805";"6805";"Industrielle Formgebung, Industrial Design";""
+3;"6806";"6806";"Klassische Arch�ologie";""
+3;"6807";"6807";"Kunsterziehung";""
+3;"6808";"6808";"Kunstgeschichte";""
+3;"6809";"6809";"Musealwesen, Museologie";""
+3;"6810";"6810";"Musik";""
+3;"6811";"6811";"Musikp�dagogik";""
+3;"6812";"6812";"Musikwissenschaft";""
+3;"6813";"6813";"Restaurierung, Konservierung";""
+3;"6814";"6814";"Theaterwissenschaft";""
+3;"6815";"6815";"Produktgestaltung";""
+3;"6816";"6816";"Atem- und Stimmerziehung";""
+3;"6817";"6817";"Musiksoziologie";""
+3;"6818";"6818";"Volksmusikforschung";""
+3;"6819";"6819";"Kultur�konomie";""
+3;"6820";"6820";"Filmwissenschaft";""
+3;"6821";"6821";"Musikgeschichte";""
+3;"6822";"6822";"Gesang";""
+3;"6823";"6823";"Jazzforschung";""
+3;"6824";"6824";"Kirchenmusik";""
+3;"6825";"6825";"Popularmusikforschung";""
+3;"6826";"6826";"Ethnomusikologie";""
+3;"6827";"6827";"Musiktheorie";""
+3;"6828";"6828";"Architektonische Gestaltung";""
+3;"6829";"6829";"B�hnengestaltung";""
+3;"6830";"6830";"Design";""
+3;"6831";"6831";"Kunsttheorie";""
+3;"6832";"6832";"Medienkunst";""
+3;"6833";"6833";"Szenographie";""
+3;"6834";"6834";"Auff�hrungspraxis";""
+3;"6835";"6835";"Tanzwissenschaft";""
+2;"69";"69";"Sonstige und interdisziplin�re Geisteswissenschaften";""
+3;"6901";"6901";"Bibliothekswissenschaft";""
+3;"6902";"6902";"Geisteswissenschaftliche Dokumentation";""
+3;"6903";"6903";"Geisteswissenschaften interdisziplin�r";""
+3;"6904";"6904";"Kommunikationswissenschaft";""
+3;"6905";"6905";"Medienforschung, -kunde";""
+3;"6906";"6906";"Publikumsforschung";""
+3;"6907";"6907";"Publizistik";""
+3;"6908";"6908";"Fachdidaktik (Geisteswissenschaften)";""
+3;"6909";"6909";"Kultur�konomie";""
+3;"6910";"6910";"Rhetorik";""
+3;"6911";"6911";"Geschichte der Geisteswissenschaften";""
+3;"6912";"6912";"Gender Studies (Geisteswissenschaften)";""
+3;"6913";"6913";"Graffiti-Forschung";""
+3;"6914";"6914";"Journalistik";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2002_EN_CTI_20171007_030424.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2002_EN_CTI_20171007_030424.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8cf18870d432d8235ff62c262779914ef290d05b
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2002_EN_CTI_20171007_030424.txt
@@ -0,0 +1,1667 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURAL SCIENCES";""
+2;"11";"11";"Mathematics, Computer Sciences";""
+3;"1101";"1101";"ADP/EDP";""
+3;"1102";"1102";"Algebra";""
+3;"1103";"1103";"Analysis";""
+3;"1104";"1104";"Applied mathematics";""
+3;"1105";"1105";"Computer software";""
+3;"1106";"1106";"Formal languages";""
+3;"1107";"1107";"Geometry";""
+3;"1108";"1108";"Informatics";""
+3;"1109";"1109";"Information and data processing";""
+3;"1110";"1110";"Cybernetics";""
+3;"1111";"1111";"Logic";""
+3;"1112";"1112";"Logistics";""
+3;"1113";"1113";"Mathematical statistics";""
+3;"1114";"1114";"Numerical mathematics";""
+3;"1115";"1115";"Technical mathematics";""
+3;"1116";"1116";"Topology";""
+3;"1117";"1117";"Actuarial mathematics";""
+3;"1118";"1118";"Probability theory";""
+3;"1119";"1119";"Number theory";""
+3;"1120";"1120";"Combinatorics";""
+3;"1121";"1121";"Operations research";""
+3;"1122";"1122";"Artificial intelligence";""
+3;"1123";"1123";"Computer-aided design and manufacture (CAD/CAM)";""
+3;"1124";"1124";"Digital image processing and graphics";""
+3;"1125";"1125";"Computer integrated manufacturing (CIM)";""
+3;"1126";"1126";"Computer networks";""
+3;"1127";"1127";"Information science";""
+3;"1128";"1128";"Supercomputing";""
+3;"1129";"1129";"Mechatronics";""
+3;"1130";"1130";"Biomathematics";""
+3;"1131";"1131";"Computer algebra";""
+3;"1132";"1132";"Computer-aided animation";""
+3;"1133";"1133";"Computer-aided simulation";""
+3;"1134";"1134";"Computer supported cooperative work (CSCW)";""
+3;"1135";"1135";"Differential geometry";""
+3;"1136";"1136";"Integrated circuit design";""
+3;"1137";"1137";"Financial mathematics";""
+3;"1138";"1138";"Information systems";""
+3;"1139";"1139";"Neuronal (neural) networks";""
+3;"1140";"1140";"Software engineering";""
+3;"1141";"1141";"Symbolic computation";""
+3;"1142";"1142";"Systems theory";""
+3;"1143";"1143";"Terminology";""
+3;"1144";"1144";"Virtual reality";""
+3;"1145";"1145";"Time series analysis";""
+3;"1146";"1146";"Management information systems";""
+3;"1147";"1147";"IT security";""
+3;"1148";"1148";"Computational linguistics";""
+3;"1149";"1149";"Electronic voice processing";""
+3;"1150";"1150";"Information design";""
+3;"1151";"1151";"Numeric computation";""
+3;"1152";"1152";"Game theory";""
+3;"1153";"1153";"Legal informatics";""
+3;"1154";"1154";"Applied geometry";""
+3;"1155";"1155";"Image science";""
+3;"1156";"1156";"Web engineering";""
+3;"1157";"1157";"Usability research";""
+3;"1158";"1158";"Distributed systems";""
+3;"1159";"1159";"Bioinformatics";""
+3;"1160";"1160";"Grid computing";""
+3;"1161";"1161";"Human-computer interaction";""
+3;"1162";"1162";"Statistics";""
+3;"1163";"1163";"History of mathematics";""
+3;"1164";"1164";"Pervasive Computing";""
+3;"1165";"1165";"Stochastics";""
+2;"12";"12";"Physics, Mechanics, Astronomy";""
+3;"1201";"1201";"General mechanics";""
+3;"1202";"1202";"Acoustics";""
+3;"1203";"1203";"Applied physics";""
+3;"1204";"1204";"Astronomy";""
+3;"1205";"1205";"Astrophysics";""
+3;"1206";"1206";"Atomic, nuclear physics";""
+3;"1207";"1207";"Biophysics";""
+3;"1208";"1208";"Elementary particle physics";""
+3;"1209";"1209";"Experimental physics";""
+3;"1210";"1210";"Solid state physics";""
+3;"1211";"1211";"High energy physics";""
+3;"1212";"1212";"Nuclear, atomic energy";""
+3;"1213";"1213";"Optics";""
+3;"1214";"1214";"Physical electronics";""
+3;"1215";"1215";"Quantum mechanics";""
+3;"1217";"1217";"Reactor physics";""
+3;"1218";"1218";"Theory of relativity";""
+3;"1219";"1219";"Radiation protection";""
+3;"1220";"1220";"Fluid mechanics";""
+3;"1221";"1221";"Technical physics";""
+3;"1222";"1222";"Theoretical physics";""
+3;"1223";"1223";"Space exploration";""
+3;"1224";"1224";"Electron physics";""
+3;"1225";"1225";"Mathematical physics";""
+3;"1226";"1226";"Neutron physics";""
+3;"1227";"1227";"Photophysics";""
+3;"1228";"1228";"Plasma physics";""
+3;"1229";"1229";"Semiconductor physics";""
+3;"1230";"1230";"Laser physics";""
+3;"1231";"1231";"Metal physics";""
+3;"1232";"1232";"Biomechanics";""
+3;"1233";"1233";"Fracture mechanics";""
+3;"1234";"1234";"Dosimetry";""
+3;"1235";"1235";"Ion physics";""
+3;"1237";"1237";"Laser spectroscopy";""
+3;"1238";"1238";"Surface physics";""
+3;"1239";"1239";"Polymer physics";""
+3;"1240";"1240";"Statistical physics";""
+3;"1241";"1241";"Mechatronics";""
+3;"1242";"1242";"Mass spectrometry";""
+3;"1243";"1243";"Micromechanics (also: of materials)";""
+3;"1244";"1244";"Medium energy physics";""
+3;"1245";"1245";"Nanotechnology";""
+3;"1246";"1246";"Quantum optics";""
+3;"1247";"1247";"Reaction kinetics";""
+3;"1248";"1248";"Spectroscopy (also: molecule -)";""
+3;"1249";"1249";"Radiation physics";""
+3;"1250";"1250";"Materials physics";""
+3;"1251";"1251";"Condensed matter";""
+3;"1252";"1252";"Continuum mechanics";""
+3;"1253";"1253";"Magnetism";""
+3;"1254";"1254";"Quantum field theory";""
+2;"13";"13";"Chemistry";""
+3;"1301";"1301";"General chemistry";""
+3;"1302";"1302";"Analytical chemistry";""
+3;"1303";"1303";"Inorganic chemistry";""
+3;"1304";"1304";"Biochemistry";""
+3;"1305";"1305";"Biochemical technology";""
+3;"1306";"1306";"Chemical technology";""
+3;"1307";"1307";"Electrochemistry";""
+3;"1308";"1308";"Food chemistry";""
+3;"1309";"1309";"Microchemistry";""
+3;"1310";"1310";"Organic chemistry";""
+3;"1311";"1311";"Photo chemistry";""
+3;"1312";"1312";"Physical chemistry";""
+3;"1313";"1313";"Radiochemistry";""
+3;"1314";"1314";"Radiation chemistry";""
+3;"1315";"1315";"Structural chemistry";""
+3;"1316";"1316";"Technical chemistry";""
+3;"1317";"1317";"Theoretical chemistry";""
+3;"1318";"1318";"Solid state chemistry";""
+3;"1319";"1319";"Forensic chemistry";""
+3;"1320";"1320";"Biotechnology";""
+3;"1321";"1321";"Macromolecular chemistry";""
+3;"1322";"1322";"Surface chemistry";""
+3;"1323";"1323";"Polymer chemistry";""
+3;"1324";"1324";"X-ray fluorescence (analysis)";""
+3;"1325";"1325";"Enzyme technology";""
+3;"1326";"1326";"Corrosion protection";""
+3;"1327";"1327";"Spectroscopy (also: molecule -)";""
+3;"1328";"1328";"Reaction kinetics";""
+3;"1329";"1329";"Environmental chemistry";""
+3;"1330";"1330";"Structural biology";""
+3;"1331";"1331";"Biocatalysis";""
+3;"1332";"1332";"Chemical biology";""
+3;"1333";"1333";"Natural product chemistry";""
+3;"1334";"1334";"Organometallic chemistry";""
+2;"14";"14";"Biology, Botany, Zoology";""
+3;"1401";"1401";"General biology";""
+3;"1402";"1402";"Biochemistry";""
+3;"1403";"1403";"Biophysics";""
+3;"1404";"1404";"Botany";""
+3;"1405";"1405";"Cell biology (cytology)";""
+3;"1406";"1406";"Experimental zoology";""
+3;"1407";"1407";"Genetics";""
+3;"1408";"1408";"Geobotany";""
+3;"1409";"1409";"Human biology";""
+3;"1410";"1410";"Microbiology";""
+3;"1411";"1411";"Molecular biology";""
+3;"1412";"1412";"Ecology of plants";""
+3;"1413";"1413";"Ecology of animals";""
+3;"1414";"1414";"Ecosystem research";""
+3;"1415";"1415";"Palaeobotany";""
+3;"1416";"1416";"Palaeontology";""
+3;"1417";"1417";"Plant anatomy";""
+3;"1418";"1418";"Plant physiology";""
+3;"1419";"1419";"Phytotechnology";""
+3;"1420";"1420";"Animal anatomy";""
+3;"1421";"1421";"Animal physiology";""
+3;"1422";"1422";"Comparative behaviour (ethology)";""
+3;"1423";"1423";"Zoology";""
+3;"1424";"1424";"Zoophysiology";""
+3;"1425";"1425";"Developmental history";""
+3;"1426";"1426";"Evolution";""
+3;"1427";"1427";"Plant morphology";""
+3;"1428";"1428";"Phytochemistry";""
+3;"1429";"1429";"Systematic botany";""
+3;"1430";"1430";"Zoogeography";""
+3;"1431";"1431";"Animal systematics";""
+3;"1432";"1432";"Biotechnology";""
+3;"1433";"1433";"Genetic engineering, - technology";""
+3;"1434";"1434";"Biomechanics";""
+3;"1435";"1435";"Mycology";""
+3;"1436";"1436";"Ultrastructure research";""
+3;"1437";"1437";"Vegetation science";""
+3;"1438";"1438";"Biomathematics";""
+3;"1439";"1439";"Chronobiology";""
+3;"1440";"1440";"Enzyme technology";""
+3;"1441";"1441";"Nanotechnology";""
+3;"1442";"1442";"Spectroscopy (also: molecule -)";""
+3;"1443";"1443";"Photobiology";""
+3;"1444";"1444";"DNA analysis (also: genetic fingerprinting)";""
+3;"1445";"1445";"Faunistics";""
+3;"1446";"1446";"Vascular biology";""
+3;"1447";"1447";"Neurobiology";""
+3;"1448";"1448";"Stem cell research";""
+3;"1449";"1449";"Radiation biology";""
+3;"1450";"1450";"Proteomics";""
+3;"1451";"1451";"Structural biology";""
+3;"1452";"1452";"Biodiversity research";""
+3;"1453";"1453";"Biological anthropology";""
+3;"1454";"1454";"Genomics";""
+3;"1455";"1455";"Theoretical biology";""
+3;"1456";"1456";"Bioinformatics";""
+3;"1457";"1457";"Developmental biology";""
+3;"1458";"1458";"Phylogeny";""
+3;"1459";"1459";"Reproductive biology";""
+3;"1460";"1460";"Biostatistics";""
+3;"1461";"1461";"Chemical biology";""
+3;"1462";"1462";"Replacement methods of animal experiments";""
+3;"1463";"1463";"Glycobiology";""
+3;"1464";"1464";"Limnology";""
+3;"1465";"1465";"Population genetics";""
+3;"1466";"1466";"Laboratory animal research and breeding";""
+2;"15";"15";"Geology, Mineralogy";""
+3;"1501";"1501";"Construction geology";""
+3;"1502";"1502";"Petroleum geology";""
+3;"1503";"1503";"Geodynamics";""
+3;"1504";"1504";"Geology";""
+3;"1505";"1505";"Geophysics";""
+3;"1507";"1507";"Crystallography";""
+3;"1508";"1508";"Mineralogy";""
+3;"1509";"1509";"Mining geology";""
+3;"1510";"1510";"Palaeontology";""
+3;"1511";"1511";"Petrography";""
+3;"1512";"1512";"Sedimentology";""
+3;"1513";"1513";"Structural chemistry";""
+3;"1514";"1514";"Technical geology";""
+3;"1515";"1515";"Tectonics";""
+3;"1516";"1516";"Soil science, -protection";""
+3;"1517";"1517";"Geochemistry";""
+3;"1518";"1518";"Geothermics";""
+3;"1519";"1519";"Glaciology";""
+3;"1520";"1520";"Geomorphology";""
+3;"1521";"1521";"Gravimetry";""
+3;"1522";"1522";"Magnetics";""
+3;"1523";"1523";"Seismology";""
+3;"1524";"1524";"Erosion (also: Erosion science, -protection)";""
+3;"1525";"1525";"Torrent and avalanche research";""
+3;"1526";"1526";"Petrology";""
+3;"1527";"1527";"Cultural geology";""
+3;"1528";"1528";"Geostatistics";""
+3;"1529";"1529";"Engineering geology";""
+3;"1530";"1530";"Stratigraphy";""
+2;"16";"16";"Meteorology, Climatology";""
+3;"1601";"1601";"Geophysics";""
+3;"1602";"1602";"Climatology";""
+3;"1603";"1603";"Meteorology";""
+3;"1604";"1604";"Space exploration";""
+3;"1605";"1605";"Glaciology";""
+3;"1606";"1606";"Bioclimatology";""
+3;"1607";"1607";"Agrometeorology";""
+3;"1608";"1608";"Global warming";""
+2;"17";"17";"Hydrology, Hydrography";""
+3;"1701";"1701";"Wastewater treatment";""
+3;"1702";"1702";"Water purification";""
+3;"1703";"1703";"Water pollution control";""
+3;"1704";"1704";"Hydromechanics";""
+3;"1705";"1705";"Hydrobiology";""
+3;"1706";"1706";"Hydrogeology";""
+3;"1707";"1707";"Hydrography";""
+3;"1708";"1708";"Hydrology";""
+3;"1709";"1709";"Limnology";""
+3;"1710";"1710";"Microbiology";""
+3;"1711";"1711";"Speleology";""
+3;"1712";"1712";"Water hygiene";""
+3;"1713";"1713";"Water technology";""
+3;"1714";"1714";"Water analysis";""
+3;"1715";"1715";"Water supply";""
+3;"1716";"1716";"Water management";""
+3;"1717";"1717";"Groundwater management";""
+3;"1718";"1718";"Erosion (also: erosion science, -protection)";""
+3;"1719";"1719";"Torrent and avalanche research";""
+3;"1720";"1720";"Flood control";""
+3;"1721";"1721";"Hydrochemistry";""
+2;"18";"18";"Geography";""
+3;"1801";"1801";"Applied geography";""
+3;"1802";"1802";"Cartography";""
+3;"1803";"1803";"Cultural geography";""
+3;"1804";"1804";"Regional geography";""
+3;"1805";"1805";"Physical geography";""
+3;"1806";"1806";"Topography";""
+3;"1807";"1807";"Economic geography";""
+3;"1808";"1808";"Glaciology";""
+3;"1809";"1809";"Social geography";""
+3;"1810";"1810";"Geographic Information Systems (GIS)";""
+3;"1811";"1811";"Political geography";""
+3;"1812";"1812";"Regional development planning";""
+3;"1813";"1813";"Population geography";""
+3;"1814";"1814";"Geomorphology";""
+2;"19";"19";"Other and interdisciplinary Natural Sciences";""
+3;"1901";"1901";"Electron microscopy";""
+3;"1902";"1902";"Gas chromatography";""
+3;"1903";"1903";"Food analysis";""
+3;"1904";"1904";"Interdisciplinary natural sciences";""
+3;"1905";"1905";"Natural scientific documentation";""
+3;"1906";"1906";"X-ray structure analysis";""
+3;"1907";"1907";"Environmental research";""
+3;"1908";"1908";"Soil science, -protection";""
+3;"1909";"1909";"Resource economics, - management";""
+3;"1910";"1910";"Clean-up of contaminated sites";""
+3;"1911";"1911";"Archeometry";""
+3;"1912";"1912";"Dosimetry";""
+3;"1913";"1913";"Subject didactics (natural sciences)";""
+3;"1914";"1914";"Isotope technology";""
+3;"1915";"1915";"Computer-aided simulation";""
+3;"1916";"1916";"Ecotech";""
+3;"1917";"1917";"Environmental protection";""
+3;"1918";"1918";"Risk research";""
+3;"1919";"1919";"Information design";""
+3;"1920";"1920";"Air pollution control";""
+3;"1921";"1921";"Long-term ecological research";""
+3;"1922";"1922";"Textile chemistry, -physics";""
+3;"1923";"1923";"Exercise sciences";""
+3;"1924";"1924";"Environmental chemistry";""
+3;"1925";"1925";"Knowledge management";""
+3;"1926";"1926";"History of mathematics";""
+3;"1927";"1927";"History of natural sciences";""
+3;"1928";"1928";"Flood control";""
+3;"1929";"1929";"Waste management";""
+3;"1930";"1930";"Soil bioengineering";""
+3;"1931";"1931";"Nature conservation (- research)";""
+3;"1932";"1932";"Ecotoxicology";""
+3;"1933";"1933";"Civil defence and disaster control";""
+3;"1934";"1934";"Nutritional sciences";""
+1;"2";"2";"TECHNICAL SCIENCES";""
+2;"21";"21";"Mining, Metallurgy";""
+3;"2101";"2101";"Mineral resources processing";""
+3;"2102";"2102";"Mining engineering";""
+3;"2103";"2103";"Mining damage";""
+3;"2104";"2104";"Ironworks technology";""
+3;"2105";"2105";"Petroleum geology";""
+3;"2106";"2106";"Petroleum engineering";""
+3;"2107";"2107";"Fireproof building materials";""
+3;"2108";"2108";"Conveying technology";""
+3;"2109";"2109";"Ceramics engineering";""
+3;"2110";"2110";"Foundry technology";""
+3;"2111";"2111";"Nonferrous metallurgy";""
+3;"2113";"2113";"Industrial furnace engineering";""
+3;"2114";"2114";"Exploration of mineral deposits";""
+3;"2115";"2115";"Economic geology";""
+3;"2116";"2116";"Mine surveying";""
+3;"2117";"2117";"Physical metallurgy";""
+3;"2118";"2118";"Metallurgy";""
+3;"2119";"2119";"Mining geology";""
+3;"2120";"2120";"Welding engineering";""
+3;"2121";"2121";"Heat engineering";""
+3;"2122";"2122";"Materials testing";""
+3;"2123";"2123";"Deep drilling techniques";""
+3;"2124";"2124";"Combustion technology";""
+3;"2125";"2125";"Underground mining";""
+3;"2126";"2126";"Forming technology (metal)";""
+3;"2127";"2127";"Materials technology";""
+2;"22";"22";"Mechanical Engineering";""
+3;"2201";"2201";"Computer hardware, ADVA";""
+3;"2202";"2202";"Steam and gas turbines";""
+3;"2203";"2203";"Energy technology";""
+3;"2204";"2204";"Precision engineering";""
+3;"2205";"2205";"Aircraft construction";""
+3;"2206";"2206";"Conveying technology";""
+3;"2207";"2207";"Industrial furnace engineering";""
+3;"2208";"2208";"Instrument construction";""
+3;"2209";"2209";"Boiler and reactor construction";""
+3;"2210";"2210";"Automotive engineering";""
+3;"2211";"2211";"Lightweight construction";""
+3;"2212";"2212";"Mechanical engineering";""
+3;"2213";"2213";"Mechanical dynamics";""
+3;"2214";"2214";"Mechanical technology";""
+3;"2215";"2215";"Measurement technology";""
+3;"2216";"2216";"Mining machine technology";""
+3;"2217";"2217";"Reactor technology";""
+3;"2218";"2218";"Ship technology";""
+3;"2219";"2219";"Fluid mechanics";""
+3;"2220";"2220";"Turbo machines";""
+3;"2221";"2221";"Technical mechanics";""
+3;"2222";"2222";"Theoretical mechanical engineering";""
+3;"2223";"2223";"Thermal turboengines";""
+3;"2224";"2224";"Thermodynamics (also: chemical)";""
+3;"2225";"2225";"Internal combustion engines";""
+3;"2226";"2226";"Heat engineering";""
+3;"2227";"2227";"Hydraulic engines and pumps";""
+3;"2228";"2228";"Materials testing";""
+3;"2229";"2229";"Pulp and paper technology";""
+3;"2230";"2230";"Heating engineering";""
+3;"2231";"2231";"Refrigeration engineering";""
+3;"2232";"2232";"Heat pumps";""
+3;"2233";"2233";"Apparatus construction";""
+3;"2234";"2234";"Robotics";""
+3;"2235";"2235";"Tunnel ventilation";""
+3;"2236";"2236";"Mechatronics";""
+3;"2237";"2237";"Tribology";""
+3;"2238";"2238";"Micromechanics (also: of materials)";""
+3;"2239";"2239";"Automotive technology";""
+3;"2240";"2240";"Forming technology (metal)";""
+3;"2241";"2241";"Fracture mechanics";""
+3;"2242";"2242";"Air conditioning technology";""
+2;"23";"23";"Civil Engineering";""
+3;"2301";"2301";"Railway construction";""
+3;"2302";"2302";"Survey of buildings";""
+3;"2303";"2303";"Construction management";""
+3;"2304";"2304";"Construction research";""
+3;"2305";"2305";"Building physics";""
+3;"2306";"2306";"Structural statics";""
+3;"2307";"2307";"Construction material practice";""
+3;"2308";"2308";"Building materials testing";""
+3;"2309";"2309";"Building trade";""
+3;"2310";"2310";"Soil mechanics";""
+3;"2311";"2311";"Bridge engineering";""
+3;"2312";"2312";"Geotechnics";""
+3;"2313";"2313";"Rock mechanics";""
+3;"2314";"2314";"Strength of materials";""
+3;"2315";"2315";"River engineering";""
+3;"2316";"2316";"Foundation engineering";""
+3;"2317";"2317";"Structural engineering";""
+3;"2318";"2318";"Timber construction";""
+3;"2319";"2319";"Hydraulics";""
+3;"2320";"2320";"Industrial construction";""
+3;"2321";"2321";"Constructional hydraulic engineering";""
+3;"2322";"2322";"Agricultural hydraulic engineering";""
+3;"2323";"2323";"Agricultural construction";""
+3;"2324";"2324";"Lightweight construction";""
+3;"2325";"2325";"Mechanical technology";""
+3;"2326";"2326";"Water and sanitary engineering";""
+3;"2327";"2327";"Steel construction";""
+3;"2328";"2328";"Reinforced concrete construction";""
+3;"2329";"2329";"Road construction";""
+3;"2330";"2330";"Civil engineering";""
+3;"2331";"2331";"Structural design";""
+3;"2332";"2332";"Hydro power plant construction";""
+3;"2333";"2333";"Torrent and avalanche restraining technology";""
+3;"2334";"2334";"Structural dynamics";""
+3;"2335";"2335";"Fire prevention, fire protection";""
+3;"2336";"2336";"Building ecology";""
+3;"2337";"2337";"Tunnelling";""
+3;"2338";"2338";"Old building restoration";""
+3;"2339";"2339";"Fracture mechanics";""
+3;"2340";"2340";"Noise protection, sound control";""
+3;"2341";"2341";"Tunnel ventilation";""
+3;"2342";"2342";"Aerodynamics";""
+3;"2343";"2343";"Constructional engineering";""
+3;"2344";"2344";"Underground mining";""
+3;"2345";"2345";"Soil bioengineering";""
+3;"2346";"2346";"Engineering geology";""
+2;"24";"24";"Architecture";""
+3;"2401";"2401";"Architectural design";""
+3;"2402";"2402";"Architecture";""
+3;"2403";"2403";"Architectural model building";""
+3;"2404";"2404";"Survey of buildings";""
+3;"2405";"2405";"Construction research";""
+3;"2406";"2406";"Building design";""
+3;"2407";"2407";"Structural statics";""
+3;"2408";"2408";"Bridge engineering";""
+3;"2409";"2409";"Preservation of monuments";""
+3;"2410";"2410";"Designing";""
+3;"2411";"2411";"Building typology";""
+3;"2412";"2412";"Structural engineering";""
+3;"2413";"2413";"Timber construction";""
+3;"2414";"2414";"Industrial construction";""
+3;"2415";"2415";"Interior decoration";""
+3;"2416";"2416";"Interior design";""
+3;"2417";"2417";"Lightweight construction";""
+3;"2418";"2418";"Spatial arts";""
+3;"2419";"2419";"Urban planning";""
+3;"2420";"2420";"Urban, village renovation";""
+3;"2421";"2421";"Steel construction";""
+3;"2422";"2422";"Reinforced concrete construction";""
+3;"2423";"2423";"Civil engineering";""
+3;"2424";"2424";"Structural design";""
+3;"2425";"2425";"Environmental planning";""
+3;"2426";"2426";"Residential building";""
+3;"2427";"2427";"Building ecology";""
+3;"2428";"2428";"Old building restoration";""
+3;"2429";"2429";"Spatial design";""
+3;"2430";"2430";"Solar architecture";""
+3;"2431";"2431";"Horticultural art";""
+3;"2432";"2432";"Architectural theory";""
+2;"25";"25";"Electrical Engineering, Electronics";""
+3;"2501";"2501";"General electronics";""
+3;"2502";"2502";"General electrical engineering";""
+3;"2503";"2503";"Computer hardware, ADVA";""
+3;"2504";"2504";"Electrical power systems (construction and operation)";""
+3;"2505";"2505";"Electrical drive engineering";""
+3;"2506";"2506";"Electrical lighting";""
+3;"2507";"2507";"Electrical energy";""
+3;"2508";"2508";"Electrical machines (construction and operation)";""
+3;"2509";"2509";"Automatic control engineering";""
+3;"2510";"2510";"Open loop control engineering";""
+3;"2511";"2511";"Electricity";""
+3;"2512";"2512";"Electrotechnical measurements";""
+3;"2513";"2513";"Electro- and biomedical technology";""
+3;"2514";"2514";"Energy technology";""
+3;"2515";"2515";"Telecommunications engineering";""
+3;"2516";"2516";"Geoelectrics";""
+3;"2517";"2517";"Semiconductor technology";""
+3;"2518";"2518";"High-frequency engineering";""
+3;"2519";"2519";"High-voltage engineering";""
+3;"2520";"2520";"Industrial electronics";""
+3;"2521";"2521";"Microelectronics";""
+3;"2522";"2522";"Communication engineering";""
+3;"2524";"2524";"Physical electronics";""
+3;"2525";"2525";"Radio engineering";""
+3;"2526";"2526";"Light-current engineering";""
+3;"2527";"2527";"Heavy-current engineering";""
+3;"2529";"2529";"Theoretical electrical engineering";""
+3;"2530";"2530";"Wave propagation";""
+3;"2531";"2531";"Laser technology";""
+3;"2532";"2532";"Optical communication engineering";""
+3;"2533";"2533";"Signal processing (analogous, digital)";""
+3;"2534";"2534";"Solar technology";""
+3;"2535";"2535";"Superconductivity";""
+3;"2536";"2536";"Computer networks";""
+3;"2537";"2537";"Electron beam technology";""
+3;"2539";"2539";"Laser spectroscopy";""
+3;"2540";"2540";"Robotics";""
+3;"2541";"2541";"Mechatronics";""
+3;"2542";"2542";"Photovoltaics";""
+3;"2543";"2543";"Integrated circuit design";""
+3;"2545";"2545";"Neuronal (neural) networks";""
+3;"2546";"2546";"Sensor technology";""
+3;"2547";"2547";"Telecommunications";""
+3;"2548";"2548";"IT security";""
+3;"2549";"2549";"Electromagnetism";""
+3;"2550";"2550";"Navigation";""
+3;"2551";"2551";"Microwave engineering";""
+3;"2552";"2552";"Radar engineering";""
+3;"2553";"2553";"Audio technology";""
+3;"2554";"2554";"Electromagnetic compatibility";""
+3;"2555";"2555";"Human-computer interaction";""
+3;"2556";"2556";"Power electronics";""
+3;"2557";"2557";"Embedded systems";""
+2;"26";"26";"Technical Chemistry, Fuel and Petroleum Engineering";""
+3;"2601";"2601";"Inorganic chemical technology";""
+3;"2602";"2602";"Fire prevention, fire protection";""
+3;"2603";"2603";"Biochemical technology";""
+3;"2604";"2604";"Fuel technology";""
+3;"2605";"2605";"Chemical technology";""
+3;"2606";"2606";"Polymer science";""
+3;"2607";"2607";"Plastics technology";""
+3;"2608";"2608";"Plastics processing";""
+3;"2609";"2609";"Petroleum technology";""
+3;"2610";"2610";"Organic chemical technology";""
+3;"2611";"2611";"Silicate chemistry";""
+3;"2612";"2612";"Technical chemistry";""
+3;"2613";"2613";"Materials testing";""
+3;"2614";"2614";"Pulp and paper technology";""
+3;"2615";"2615";"Explosives technology";""
+3;"2616";"2616";"Coating technology";""
+3;"2617";"2617";"Corrosion protection";""
+3;"2618";"2618";"Combustion technology";""
+3;"2619";"2619";"Thermodynamics (also: chemical)";""
+3;"2620";"2620";"Materials chemistry";""
+2;"27";"27";"Geodesy, Surveying";""
+3;"2701";"2701";"Geodetic surveying";""
+3;"2702";"2702";"Remote sensing";""
+3;"2703";"2703";"Geodesy";""
+3;"2704";"2704";"Cartography";""
+3;"2705";"2705";"Cadastral surveying";""
+3;"2706";"2706";"Land surveying";""
+3;"2707";"2707";"Photogrammetry";""
+3;"2708";"2708";"Topography";""
+3;"2709";"2709";"Surveying";""
+3;"2710";"2710";"Geodetic engineering";""
+3;"2711";"2711";"GPS (Global Positioning System)";""
+3;"2712";"2712";"3D-surveying";""
+2;"28";"28";"Traffic System, Traffic Planning";""
+3;"2801";"2801";"Railway engineering";""
+3;"2802";"2802";"Road construction";""
+3;"2803";"2803";"Road planning";""
+3;"2804";"2804";"Transport economics";""
+3;"2805";"2805";"Traffic planning, - security";""
+3;"2806";"2806";"Traffic engineering";""
+3;"2807";"2807";"Traffic system and transportation";""
+3;"2808";"2808";"Traffic economics";""
+3;"2809";"2809";"Accident research";""
+3;"2810";"2810";"Ropeways";""
+2;"29";"29";"Other and interdisciplinary Technical Sciences";""
+3;"2901";"2901";"Waste technology";""
+3;"2902";"2902";"General process engineering";""
+3;"2903";"2903";"Ergonomics";""
+3;"2904";"2904";"Industrial technology";""
+3;"2905";"2905";"Electron microscopy";""
+3;"2906";"2906";"Power industry";""
+3;"2907";"2907";"Gas chromatography";""
+3;"2908";"2908";"Graphical techniques";""
+3;"2909";"2909";"Aeronautical technology";""
+3;"2910";"2910";"Recycling";""
+3;"2911";"2911";"X-ray structure analysis";""
+3;"2912";"2912";"Technical documentation";""
+3;"2913";"2913";"Interdisciplinary technical sciences";""
+3;"2914";"2914";"Textile technology";""
+3;"2915";"2915";"Cryogenic research";""
+3;"2916";"2916";"Packaging";""
+3;"2917";"2917";"Business technology";""
+3;"2918";"2918";"Environmental technology";""
+3;"2919";"2919";"Energy research";""
+3;"2920";"2920";"Waste air purification";""
+3;"2921";"2921";"Biotechnology";""
+3;"2922";"2922";"Product design";""
+3;"2923";"2923";"Resource economics, - management";""
+3;"2924";"2924";"Pollutant deposition";""
+3;"2925";"2925";"Pollutant emission";""
+3;"2926";"2926";"Explosives technology";""
+3;"2927";"2927";"Technology assessment";""
+3;"2928";"2928";"Environmental economics";""
+3;"2929";"2929";"Civil defence and disaster control";""
+3;"2930";"2930";"Clean-up of contaminated sites";""
+3;"2931";"2931";"Archeometry";""
+3;"2932";"2932";"Automation";""
+3;"2933";"2933";"Dosimetry";""
+3;"2934";"2934";"Ergonomics";""
+3;"2935";"2935";"Subject didactics (technical sciences)";""
+3;"2936";"2936";"Quality control";""
+3;"2937";"2937";"Technical history";""
+3;"2938";"2938";"Disability issues, Handicapped research";""
+3;"2939";"2939";"Computer-aided simulation";""
+3;"2940";"2940";"Energy saving (Measures for)";""
+3;"2941";"2941";"Renewable energy (also energy sources, raw materials)";""
+3;"2942";"2942";"Manufacturing technology";""
+3;"2943";"2943";"Research and innovation management";""
+3;"2944";"2944";"Human ecology";""
+3;"2945";"2945";"Ecotech";""
+3;"2946";"2946";"Environmental protection";""
+3;"2947";"2947";"Information technology";""
+3;"2948";"2948";"Information society";""
+3;"2949";"2949";"Telecommunications";""
+3;"2950";"2950";"Risk research";""
+3;"2951";"2951";"Technology transfer";""
+3;"2952";"2952";"IT security";""
+3;"2953";"2953";"Data security and data privacy";""
+3;"2954";"2954";"Audiovisual media";""
+3;"2955";"2955";"Aerodynamics";""
+3;"2956";"2956";"Ecodesign";""
+3;"2957";"2957";"Air pollution control";""
+3;"2959";"2959";"Sustainable development, sustainable economics";""
+3;"2960";"2960";"Long-term ecological research";""
+3;"2961";"2961";"Failure analysis";""
+3;"2962";"2962";"Philosophy of technology";""
+3;"2963";"2963";"Sociology of technology";""
+3;"2964";"2964";"Textile chemistry, -physics";""
+3;"2965";"2965";"Knowledge management";""
+3;"2966";"2966";"History of technical sciences";""
+3;"2967";"2967";"Light technology";""
+3;"2968";"2968";"Nanotechnology";""
+3;"2969";"2969";"Waste management";""
+3;"2970";"2970";"Fermentation";""
+3;"2971";"2971";"Gender studies (technical sciences)";""
+3;"2972";"2972";"Usability research";""
+3;"2973";"2973";"Technical statistics";""
+1;"3";"3";"HUMAN MEDICINE";""
+2;"31";"31";"Anatomy, Pathology";""
+3;"3101";"3101";"General anatomy";""
+3;"3102";"3102";"General pathology";""
+3;"3103";"3103";"Cell biology (cytology)";""
+3;"3104";"3104";"Embryology";""
+3;"3105";"3105";"Experimental pathology";""
+3;"3106";"3106";"Functional pathology";""
+3;"3107";"3107";"Histology";""
+3;"3108";"3108";"Cancer research";""
+3;"3109";"3109";"Neuropathology";""
+3;"3110";"3110";"Oncology";""
+3;"3111";"3111";"Pathological anatomy";""
+3;"3112";"3112";"Psychopathology";""
+3;"3113";"3113";"X-ray anatomy";""
+3;"3114";"3114";"Systematic anatomy";""
+3;"3115";"3115";"Topographical anatomy";""
+3;"3116";"3116";"Diagnosis in medicine";""
+3;"3117";"3117";"Functional anatomy";""
+3;"3118";"3118";"Pathophysiology";""
+3;"3119";"3119";"Molecular pathology";""
+2;"32";"32";"Medical Chemistry, Medical Physics, Physiology";""
+3;"3201";"3201";"General physiology";""
+3;"3202";"3202";"Balneology";""
+3;"3203";"3203";"Biophysics";""
+3;"3204";"3204";"Electron microscopy";""
+3;"3205";"3205";"Electro- and biomedical technology";""
+3;"3206";"3206";"Human genetics";""
+3;"3207";"3207";"Cancer research";""
+3;"3208";"3208";"Medical biochemistry";""
+3;"3209";"3209";"Medical biology";""
+3;"3210";"3210";"Medical chemistry";""
+3;"3211";"3211";"Medical molecular biology";""
+3;"3212";"3212";"Medical physics";""
+3;"3213";"3213";"Medical physiology";""
+3;"3214";"3214";"Neurochemistry";""
+3;"3215";"3215";"Neurophysiology and sense physiology";""
+3;"3216";"3216";"Nuclear medicine";""
+3;"3217";"3217";"Radiology";""
+3;"3218";"3218";"Radiation biology";""
+3;"3219";"3219";"Radiation physics";""
+3;"3220";"3220";"Radiation protection";""
+3;"3221";"3221";"Radiation therapy";""
+3;"3222";"3222";"Comparative physiology";""
+3;"3223";"3223";"Cell biology (cytology)";""
+3;"3224";"3224";"Cytogenetics";""
+3;"3225";"3225";"Sonography";""
+3;"3226";"3226";"Biomechanics";""
+3;"3227";"3227";"Magnetic resonance tomography";""
+3;"3228";"3228";"Vaccine development";""
+3;"3229";"3229";"Vascular biology";""
+3;"3230";"3230";"Stem cell research";""
+3;"3231";"3231";"Radiation chemistry";""
+3;"3232";"3232";"Proteomics";""
+3;"3233";"3233";"Computed tomography";""
+3;"3234";"3234";"Genomics";""
+3;"3235";"3235";"Glycobiology";""
+3;"3236";"3236";"Lipidomics research";""
+2;"33";"33";"Pharmaceutics, Pharmacology, Toxicology";""
+3;"3301";"3301";"Homeopathy";""
+3;"3302";"3302";"Neuropharmacology";""
+3;"3303";"3303";"Pharmacodynamics";""
+3;"3304";"3304";"Pharmacognosy";""
+3;"3305";"3305";"Pharmacology";""
+3;"3306";"3306";"Pharmaceutical chemistry";""
+3;"3307";"3307";"Pharmaceutics";""
+3;"3308";"3308";"Psychopharmacology";""
+3;"3309";"3309";"Toxicology";""
+3;"3310";"3310";"Pharmaceutical technology";""
+3;"3311";"3311";"Phytochemistry";""
+3;"3312";"3312";"Pharmacokinetics";""
+3;"3313";"3313";"Pharmaceutical and drug analysis";""
+3;"3314";"3314";"Vaccine development";""
+3;"3315";"3315";"Natural product chemistry";""
+2;"34";"34";"Hygiene, Medical Microbiology";""
+3;"3401";"3401";"Allergy research";""
+3;"3402";"3402";"Occupational medicine";""
+3;"3403";"3403";"Bacteriology";""
+3;"3404";"3404";"Bacteriological-serological examinations";""
+3;"3405";"3405";"Occupational diseases";""
+3;"3406";"3406";"Blood group serology";""
+3;"3407";"3407";"Blood transfusion";""
+3;"3408";"3408";"Epidemiology";""
+3;"3409";"3409";"Haematology";""
+3;"3410";"3410";"Hygiene";""
+3;"3411";"3411";"Immunology";""
+3;"3412";"3412";"Cancer research";""
+3;"3413";"3413";"Food hygiene";""
+3;"3414";"3414";"Leukaemia research";""
+3;"3415";"3415";"Air hygiene";""
+3;"3416";"3416";"Medical microbiology";""
+3;"3417";"3417";"Parasitology";""
+3;"3418";"3418";"Preventive medicine";""
+3;"3419";"3419";"Rehabilitation research";""
+3;"3420";"3420";"Serology";""
+3;"3421";"3421";"Epidemic research";""
+3;"3423";"3423";"Social medicine";""
+3;"3424";"3424";"Specific prophylaxis (protection by vaccination)";""
+3;"3425";"3425";"Stress research";""
+3;"3426";"3426";"Tropical medicine";""
+3;"3427";"3427";"Environmental hygiene";""
+3;"3428";"3428";"Virology";""
+3;"3429";"3429";"Water hygiene";""
+3;"3430";"3430";"Neuro-, Psychoimmunology";""
+3;"3431";"3431";"Diagnosis in medicine";""
+3;"3432";"3432";"Vaccine development";""
+3;"3433";"3433";"HIV research";""
+3;"3434";"3434";"Hospital hygiene";""
+2;"35";"35";"Clinical Medicine (except Surgery and Psychiatry)";""
+3;"3501";"3501";"Acupuncture";""
+3;"3502";"3502";"Allergy research";""
+3;"3503";"3503";"General practice";""
+3;"3504";"3504";"Andrology";""
+3;"3505";"3505";"Ophthalmology";""
+3;"3506";"3506";"Balneology";""
+3;"3507";"3507";"Chemotherapy";""
+3;"3508";"3508";"Dermatology";""
+3;"3509";"3509";"Endocrinology";""
+3;"3510";"3510";"Gastroenterology";""
+3;"3511";"3511";"Obstetrics";""
+3;"3512";"3512";"Geriatrics";""
+3;"3513";"3513";"Gynaecology";""
+3;"3514";"3514";"Ear, nose and throat diseases";""
+3;"3515";"3515";"Skin and venereal diseases";""
+3;"3516";"3516";"Hepatology";""
+3;"3517";"3517";"Hearing, voice and speech disabilities";""
+3;"3518";"3518";"Internal medicine";""
+3;"3519";"3519";"Intensive care medicine";""
+3;"3520";"3520";"Cardiology";""
+3;"3521";"3521";"Oral surgery";""
+3;"3522";"3522";"Paediatrics";""
+3;"3523";"3523";"Circulatory diseases";""
+3;"3524";"3524";"Pulmonary medicine";""
+3;"3525";"3525";"Neonatology";""
+3;"3526";"3526";"Nephrology";""
+3;"3527";"3527";"Nuclear medicine";""
+3;"3528";"3528";"Orthopaedics";""
+3;"3529";"3529";"Perinatology";""
+3;"3530";"3530";"Radiodiagnostics";""
+3;"3531";"3531";"Radiology";""
+3;"3532";"3532";"Rehabilitation research";""
+3;"3533";"3533";"Rheumatology";""
+3;"3534";"3534";"Social medicine";""
+3;"3535";"3535";"Sports medicine";""
+3;"3536";"3536";"Metabolic diseases";""
+3;"3537";"3537";"Radiation protection";""
+3;"3538";"3538";"Radiation therapy";""
+3;"3539";"3539";"Syphilology";""
+3;"3540";"3540";"Urology";""
+3;"3541";"3541";"Venereology";""
+3;"3542";"3542";"Dentistry";""
+3;"3543";"3543";"Angiology";""
+3;"3544";"3544";"Clinical chemistry";""
+3;"3545";"3545";"Laboratory diagnostics";""
+3;"3546";"3546";"Physical medicine";""
+3;"3547";"3547";"Computer-aided diagnosis and therapy";""
+3;"3548";"3548";"Diabetology";""
+3;"3549";"3549";"Implantology";""
+3;"3550";"3550";"Sonography";""
+3;"3551";"3551";"Prenatal diagnostics";""
+3;"3552";"3552";"Diagnosis in medicine";""
+3;"3553";"3553";"Emergency medicine";""
+3;"3554";"3554";"Pain therapy";""
+3;"3555";"3555";"Transplantation medicine";""
+3;"3556";"3556";"Orthodontics";""
+3;"3557";"3557";"Palliative medicine";""
+3;"3558";"3558";"Multiple trauma care";""
+3;"3559";"3559";"Haematology";""
+3;"3560";"3560";"Oncology";""
+3;"3561";"3561";"Sleep medicine";""
+2;"36";"36";"Surgery and Anaesthesiology";""
+3;"3601";"3601";"Acupuncture";""
+3;"3602";"3602";"General surgery";""
+3;"3603";"3603";"Anaesthesiology";""
+3;"3604";"3604";"Blood transfusion";""
+3;"3605";"3605";"Experimental surgery";""
+3;"3606";"3606";"Intensive care medicine";""
+3;"3607";"3607";"Oral surgery";""
+3;"3608";"3608";"Paediatric surgery";""
+3;"3609";"3609";"Microsurgery";""
+3;"3610";"3610";"Neurosurgery";""
+3;"3611";"3611";"Nuclear medicine";""
+3;"3612";"3612";"Orthopaedics";""
+3;"3613";"3613";"Plastic and reconstructive surgery";""
+3;"3614";"3614";"Transplantation surgery";""
+3;"3615";"3615";"Accident surgery";""
+3;"3616";"3616";"Vascular surgery";""
+3;"3617";"3617";"Heart surgery";""
+3;"3618";"3618";"Thorax and hyperbaric surgery";""
+3;"3619";"3619";"Gastrointestinal surgery";""
+3;"3620";"3620";"Implantology";""
+3;"3621";"3621";"Laser surgery";""
+3;"3622";"3622";"Oncological surgery";""
+3;"3623";"3623";"Pain therapy";""
+3;"3624";"3624";"Emergency medicine";""
+3;"3625";"3625";"Navigation surgery";""
+3;"3626";"3626";"Multiple trauma care";""
+2;"37";"37";"Psychiatry and Neurology";""
+3;"3701";"3701";"Forensic psychiatry";""
+3;"3702";"3702";"Brain research";""
+3;"3703";"3703";"Hearing, voice and speech disabilities";""
+3;"3704";"3704";"Child and adolescent psychiatry";""
+3;"3705";"3705";"Clinical psychiatry";""
+3;"3706";"3706";"Medical psychology";""
+3;"3707";"3707";"Medical psychotherapy";""
+3;"3708";"3708";"Microsurgery";""
+3;"3709";"3709";"Neurosurgery";""
+3;"3710";"3710";"Neurology";""
+3;"3711";"3711";"Neuropathology";""
+3;"3712";"3712";"Neuropharmacology";""
+3;"3713";"3713";"Neurophysiology and sense physiology";""
+3;"3714";"3714";"Psychoanalysis";""
+3;"3715";"3715";"Psychopathology";""
+3;"3716";"3716";"Psychopharmacology";""
+3;"3717";"3717";"Psychosomatics";""
+3;"3718";"3718";"Rehabilitation research";""
+3;"3719";"3719";"Social psychiatry";""
+3;"3720";"3720";"Addiction research";""
+3;"3721";"3721";"Depth psychology";""
+3;"3722";"3722";"Behavioural therapy";""
+3;"3723";"3723";"Orthopaedagogy";""
+3;"3724";"3724";"Neuro-, Psychoimmunology";""
+3;"3725";"3725";"Diagnosis in medicine";""
+3;"3726";"3726";"Linguistics, clinical -, neuro -";""
+3;"3727";"3727";"Neuropsychology";""
+3;"3728";"3728";"Stress research";""
+3;"3729";"3729";"Clinical neurosciences";""
+2;"38";"38";"Forensic Medicine";""
+3;"3801";"3801";"Forensic psychiatry";""
+3;"3802";"3802";"Forensic human medicine";""
+3;"3803";"3803";"Forensic veterinary medicine";""
+3;"3804";"3804";"Forensic chemistry";""
+3;"3805";"3805";"DNA analysis (also: genetic fingerprinting)";""
+3;"3806";"3806";"Bloodstain pattern analysis";""
+3;"3807";"3807";"Forensic radiology";""
+2;"39";"39";"Other and interdisciplinary Human Medicine";""
+3;"3901";"3901";"Biostatistics";""
+3;"3902";"3902";"Electron microscopy";""
+3;"3903";"3903";"History of medicine";""
+3;"3904";"3904";"Homeopathy";""
+3;"3905";"3905";"Interdisciplinary human medicine";""
+3;"3906";"3906";"Medical computer sciences";""
+3;"3907";"3907";"Medical documentation";""
+3;"3908";"3908";"Medical cybernetics";""
+3;"3909";"3909";"Medical statistics";""
+3;"3910";"3910";"Traffic medicine";""
+3;"3911";"3911";"Economics of the health system";""
+3;"3912";"3912";"Computer-aided diagnosis and therapy";""
+3;"3913";"3913";"Genetic engineering, - technology";""
+3;"3914";"3914";"Gerontology";""
+3;"3915";"3915";"Medical sociology";""
+3;"3916";"3916";"Ergonomics";""
+3;"3917";"3917";"Nutritional sciences";""
+3;"3918";"3918";"Subject didactics (human medicine)";""
+3;"3919";"3919";"Hospital economics";""
+3;"3920";"3920";"Emergency medicine";""
+3;"3921";"3921";"Patient rights";""
+3;"3922";"3922";"Environmental medicine";""
+3;"3923";"3923";"Medical ethics";""
+3;"3924";"3924";"Bioinformatics";""
+3;"3925";"3925";"Health sciences";""
+3;"3926";"3926";"Hospital hygiene";""
+3;"3927";"3927";"Medical informatics";""
+3;"3928";"3928";"Nursing science";""
+3;"3929";"3929";"Biotechnology";""
+3;"3930";"3930";"Gender studies (human medicine)";""
+3;"3931";"3931";"Sport sciences";""
+3;"3932";"3932";"Replacement methods of animal experiments";""
+1;"4";"4";"AGRICULTURE & FORESTRY, VETERINARY MEDICINE";""
+2;"41";"41";"Agronomy, Plant Breeding, Plant Protection";""
+3;"4101";"4101";"Agronomy";""
+3;"4102";"4102";"Irrigated agriculture";""
+3;"4103";"4103";"Cereal cultivation, cereals";""
+3;"4104";"4104";"Agricultural-bacteriological examinations";""
+3;"4105";"4105";"Agricultural-chemical examinations";""
+3;"4106";"4106";"Agricultural machines and equipment";""
+3;"4107";"4107";"Food technology";""
+3;"4108";"4108";"Milling (flour)";""
+3;"4109";"4109";"Plant cultivation";""
+3;"4110";"4110";"Plant protection";""
+3;"4111";"4111";"Plant breeding";""
+3;"4112";"4112";"Seed growing";""
+3;"4113";"4113";"Seed cultivation and testing";""
+3;"4115";"4115";"Soil testing";""
+3;"4116";"4116";"Agroecology";""
+3;"4117";"4117";"Organic farming";""
+3;"4118";"4118";"Renewable energy (also energy sources, raw materials)";""
+3;"4119";"4119";"Regenerable raw materials";""
+3;"4120";"4120";"Plant nutrition and plant fertilization";""
+3;"4121";"4121";"Tropical and subtropical agriculture";""
+3;"4122";"4122";"Agricultural-virological examinations";""
+2;"42";"42";"Horticulture, Fruit Growing";""
+3;"4201";"4201";"Irrigated agriculture";""
+3;"4202";"4202";"Horticulture";""
+3;"4203";"4203";"Green area planning";""
+3;"4204";"4204";"Agricultural machines and equipment";""
+3;"4205";"4205";"Food technology";""
+3;"4206";"4206";"Fruit growing";""
+3;"4207";"4207";"Fruit tree protection";""
+3;"4208";"4208";"Special cultures";""
+3;"4209";"4209";"Experimental design for fruit growing";""
+3;"4210";"4210";"Viticulture";""
+3;"4211";"4211";"Soil testing";""
+3;"4212";"4212";"Organic farming";""
+3;"4213";"4213";"Vegetable growing";""
+3;"4214";"4214";"Horticultural art";""
+3;"4215";"4215";"Ornamental horticulture";""
+2;"43";"43";"Forestry and Timber";""
+3;"4301";"4301";"Forest entomology";""
+3;"4302";"4302";"Forest economics";""
+3;"4303";"4303";"Forest construction";""
+3;"4304";"4304";"Forest engineering";""
+3;"4305";"4305";"Forest ecology";""
+3;"4306";"4306";"Forest protection";""
+3;"4307";"4307";"Forest technology";""
+3;"4308";"4308";"Forest and timber trade policy";""
+3;"4309";"4309";"Forestry";""
+3;"4310";"4310";"Wood chemistry";""
+3;"4311";"4311";"Wood research";""
+3;"4312";"4312";"Wood preservation";""
+3;"4313";"4313";"Wood technology";""
+3;"4314";"4314";"Timber trade and industry";""
+3;"4315";"4315";"Silviculture";""
+3;"4316";"4316";"Pulp and paper technology";""
+3;"4317";"4317";"Soil testing";""
+3;"4318";"4318";"Regenerable raw materials";""
+3;"4319";"4319";"Forest pathology";""
+2;"44";"44";"Livestock Breeding, Animal Production";""
+3;"4401";"4401";"Apiculture";""
+3;"4402";"4402";"Fisheries economics";""
+3;"4403";"4403";"Ichthyology";""
+3;"4404";"4404";"Meat hygiene";""
+3;"4405";"4405";"Meat technology";""
+3;"4406";"4406";"Genetics of domesticated animals";""
+3;"4408";"4408";"Cheese-making";""
+3;"4409";"4409";"Artificial insemination";""
+3;"4410";"4410";"Food technology";""
+3;"4411";"4411";"Food analysis";""
+3;"4412";"4412";"Fattening and slaughter performance";""
+3;"4413";"4413";"Microbiology";""
+3;"4414";"4414";"Milk hygiene";""
+3;"4415";"4415";"Milk technology";""
+3;"4416";"4416";"Dairy farming";""
+3;"4417";"4417";"Pig testing";""
+3;"4418";"4418";"Animal nutrition";""
+3;"4419";"4419";"Animal production";""
+3;"4420";"4420";"Animal breeding";""
+3;"4421";"4421";"Laboratory animal research and breeding";""
+3;"4422";"4422";"Wildlife science";""
+3;"4423";"4423";"Feed analysis";""
+3;"4425";"4425";"Livestock ethology";""
+3;"4426";"4426";"Animal husbandry";""
+3;"4427";"4427";"Poultry medicine";""
+2;"45";"45";"Veterinary Medicine";""
+3;"4501";"4501";"Bacteriology (animals)";""
+3;"4502";"4502";"Electron microscopy";""
+3;"4503";"4503";"Forensic veterinary medicine";""
+3;"4504";"4504";"Hoof and claw research";""
+3;"4505";"4505";"Food analysis";""
+3;"4506";"4506";"Medical biochemistry (animals)";""
+3;"4507";"4507";"Medical chemistry (animals)";""
+3;"4508";"4508";"Medical physics (animals)";""
+3;"4509";"4509";"Animal anatomy";""
+3;"4510";"4510";"Veterinary ophthalmology";""
+3;"4511";"4511";"Veterinary surgery";""
+3;"4512";"4512";"Animal embryology";""
+3;"4513";"4513";"Animal nutrition";""
+3;"4514";"4514";"Veterinary obstetrics";""
+3;"4515";"4515";"Veterinary gynaecology";""
+3;"4516";"4516";"Animal histology";""
+3;"4517";"4517";"Animal hygiene";""
+3;"4518";"4518";"Veterinary orthopaedics";""
+3;"4519";"4519";"Animal parasitology";""
+3;"4520";"4520";"Animal pathology";""
+3;"4521";"4521";"Animal physiology";""
+3;"4522";"4522";"Veterinary radiology";""
+3;"4523";"4523";"Animal epidemic control";""
+3;"4524";"4524";"Virology (animals)";""
+3;"4525";"4525";"Wildlife science";""
+3;"4526";"4526";"Zoology";""
+3;"4527";"4527";"Pharmacology (animals)";""
+3;"4528";"4528";"Animal andrology";""
+3;"4529";"4529";"Veterinary emergency surgery";""
+3;"4530";"4530";"Veterinary dentistry";""
+3;"4531";"4531";"Toxicology (animals)";""
+3;"4532";"4532";"Veterinary anaesthesiology";""
+3;"4533";"4533";"Animal cytology";""
+3;"4534";"4534";"Animal internal medicine";""
+3;"4536";"4536";"Bird medicine, ornamental bird medicine";""
+3;"4537";"4537";"Veterinary immunology";""
+3;"4538";"4538";"Veterinary diagnostic laboratory";""
+3;"4539";"4539";"Animal neurology";""
+3;"4540";"4540";"Diagnosis in veterinary medicine";""
+3;"4541";"4541";"History of veterinary medicine";""
+3;"4542";"4542";"Phytotherapy (animals)";""
+2;"49";"49";"Other and interdisciplinary Agriculture and Forestry";""
+3;"4901";"4901";"ADP, EDP in Agriculture and forestry";""
+3;"4902";"4902";"Agricultural operations";""
+3;"4903";"4903";"Agricultural economics";""
+3;"4904";"4904";"Agricultural policy";""
+3;"4905";"4905";"Irrigated agriculture";""
+3;"4906";"4906";"Fermentation technology";""
+3;"4907";"4907";"Interdisciplinary agricultural and forestry science";""
+3;"4908";"4908";"Agricultural and forestry documentation";""
+3;"4909";"4909";"Farm management";""
+3;"4910";"4910";"Agricultural marketing";""
+3;"4911";"4911";"Agricultural machines and equipment";""
+3;"4912";"4912";"Agricultural construction";""
+3;"4913";"4913";"Food technology";""
+3;"4914";"4914";"Food analysis";""
+3;"4915";"4915";"Soil testing";""
+3;"4916";"4916";"Food economics";""
+3;"4917";"4917";"Biotechnology";""
+3;"4918";"4918";"Genetic engineering, - technology";""
+3;"4919";"4919";"Nutritional sciences";""
+3;"4920";"4920";"Subject didactics (agriculture, forestry and veterinary medicine)";""
+3;"4921";"4921";"Agroecology";""
+3;"4922";"4922";"Environmental protection";""
+3;"4923";"4923";"Agrometeorology";""
+3;"4924";"4924";"Sustainable development, sustainable economics";""
+3;"4925";"4925";"Fermentation";""
+3;"4926";"4926";"Population genetics";""
+1;"5";"5";"SOCIAL SCIENCES";""
+2;"51";"51";"Political Science";""
+3;"5101";"5101";"General political science";""
+3;"5102";"5102";"Foreign aid";""
+3;"5103";"5103";"Peace research";""
+3;"5104";"5104";"Critique of ideology";""
+3;"5105";"5105";"International relations";""
+3;"5106";"5106";"Philosophy of politics";""
+3;"5107";"5107";"Politics and public law";""
+3;"5108";"5108";"Political theory";""
+3;"5109";"5109";"Political systems";""
+3;"5111";"5111";"Legal and political philosophy";""
+3;"5112";"5112";"European law";""
+3;"5113";"5113";"Research law, -policy";""
+3;"5114";"5114";"Political education";""
+3;"5115";"5115";"European integration";""
+3;"5116";"5116";"Federalism research";""
+3;"5117";"5117";"Conflict research";""
+3;"5118";"5118";"Political science";""
+3;"5119";"5119";"Development policy";""
+3;"5120";"5120";"Policy analysis";""
+2;"52";"52";"Legal Sciences";""
+3;"5201";"5201";"Agricultural law";""
+3;"5202";"5202";"General procedure law";""
+3;"5203";"5203";"Labour law";""
+3;"5204";"5204";"Civil law (also: general part)";""
+3;"5205";"5205";"Energy law";""
+3;"5206";"5206";"Financial law";""
+3;"5207";"5207";"Cooperative law";""
+3;"5208";"5208";"Company law";""
+3;"5209";"5209";"Liability law";""
+3;"5210";"5210";"Business law";""
+3;"5211";"5211";"International relations";""
+3;"5212";"5212";"International civil law";""
+3;"5213";"5213";"Antitrust law";""
+3;"5214";"5214";"Canon law";""
+3;"5215";"5215";"Criminology";""
+3;"5216";"5216";"Rent law";""
+3;"5217";"5217";"Public law";""
+3;"5218";"5218";"Constitutional law (Austrian-, European-)";""
+3;"5219";"5219";"Austrian administrative law";""
+3;"5220";"5220";"Private law";""
+3;"5221";"5221";"Law documentation";""
+3;"5222";"5222";"Legal history";""
+3;"5223";"5223";"Philosophy of law";""
+3;"5224";"5224";"Comparative law";""
+3;"5225";"5225";"Roman law";""
+3;"5226";"5226";"Social law";""
+3;"5227";"5227";"Social security law";""
+3;"5228";"5228";"Constitutional law";""
+3;"5229";"5229";"Penal procedure law";""
+3;"5230";"5230";"Criminal law";""
+3;"5231";"5231";"Copyright and publication right";""
+3;"5232";"5232";"Traffic law";""
+3;"5233";"5233";"Insurance law";""
+3;"5234";"5234";"Administrative science";""
+3;"5235";"5235";"International law";""
+3;"5236";"5236";"Securities law";""
+3;"5237";"5237";"Commercial law";""
+3;"5238";"5238";"Civil procedure law";""
+3;"5239";"5239";"Civil law";""
+3;"5240";"5240";"European law";""
+3;"5241";"5241";"State church law";""
+3;"5242";"5242";"Environmental law";""
+3;"5243";"5243";"Women?s studies (Women?s issues)";""
+3;"5244";"5244";"Research law, -policy";""
+3;"5245";"5245";"Media law";""
+3;"5246";"5246";"Medical law";""
+3;"5247";"5247";"Human rights (also: protection of - )";""
+3;"5248";"5248";"Patient rights";""
+3;"5249";"5249";"Zoning law";""
+3;"5250";"5250";"Legal informatics";""
+3;"5251";"5251";"Theory of law";""
+3;"5252";"5252";"Basic and Human rights";""
+3;"5253";"5253";"Consumer law";""
+3;"5254";"5254";"Housing law";""
+3;"5255";"5255";"Data security and data privacy";""
+3;"5256";"5256";"Planning and building laws and regulations";""
+3;"5257";"5257";"Family law and law of inheritance";""
+3;"5258";"5258";"Federalism research";""
+3;"5259";"5259";"Law on registration and establishment of business associations";""
+3;"5260";"5260";"Information law";""
+3;"5261";"5261";"Comparative constitutional law (European -, international -)";""
+3;"5262";"5262";"Mediation";""
+3;"5263";"5263";"Law of things";""
+3;"5264";"5264";"Law of obligations";""
+3;"5265";"5265";"Theory of constitutional law";""
+3;"5266";"5266";"Constitutional law, general";""
+3;"5267";"5267";"Administrative law, general";""
+3;"5268";"5268";"Legal psychology";""
+3;"5269";"5269";"Sociology of law";""
+3;"5270";"5270";"Competition law";""
+3;"5271";"5271";"Patent law";""
+3;"5272";"5272";"Banking law";""
+3;"5273";"5273";"General political science";""
+3;"5274";"5274";"Capital market legislation";""
+2;"53";"53";"Economics";""
+3;"5301";"5301";"Distributive trades";""
+3;"5302";"5302";"Agricultural economics";""
+3;"5303";"5303";"Agricultural policy";""
+3;"5304";"5304";"Labour market research";""
+3;"5305";"5305";"Bank management";""
+3;"5306";"5306";"Business data processing";""
+3;"5307";"5307";"Business and management economics";""
+3;"5308";"5308";"Management sciences";""
+3;"5309";"5309";"Foreign aid";""
+3;"5310";"5310";"Manufacturing";""
+3;"5311";"5311";"Public finance";""
+3;"5312";"5312";"Tourism research";""
+3;"5313";"5313";"Cooperative systems";""
+3;"5314";"5314";"Trade Research";""
+3;"5315";"5315";"Commercial science";""
+3;"5316";"5316";"Industrial management";""
+3;"5317";"5317";"Industrial operations research";""
+3;"5318";"5318";"Farm management";""
+3;"5319";"5319";"Agricultural marketing";""
+3;"5320";"5320";"Marketing";""
+3;"5321";"5321";"Market research";""
+3;"5322";"5322";"National/Political economy";""
+3;"5323";"5323";"Econometrics";""
+3;"5324";"5324";"Organizational research";""
+3;"5325";"5325";"Political economics";""
+3;"5326";"5326";"Production research";""
+3;"5327";"5327";"Accounting";""
+3;"5328";"5328";"Auditing and trusts";""
+3;"5329";"5329";"Economics of location";""
+3;"5330";"5330";"Site selection";""
+3;"5331";"5331";"Structural policy";""
+3;"5332";"5332";"Transport economics";""
+3;"5333";"5333";"Business management";""
+3;"5334";"5334";"Political economic policy";""
+3;"5335";"5335";"Political economic theory";""
+3;"5336";"5336";"Commodity science";""
+3;"5337";"5337";"World trade science";""
+3;"5338";"5338";"Science of advertising";""
+3;"5339";"5339";"Economic analyses";""
+3;"5340";"5340";"Economic history";""
+3;"5341";"5341";"Economic policy";""
+3;"5343";"5343";"Economic theory";""
+3;"5344";"5344";"Foreign trade";""
+3;"5345";"5345";"Social economy";""
+3;"5346";"5346";"Economics of the health system";""
+3;"5347";"5347";"Operations research";""
+3;"5348";"5348";"Business education";""
+3;"5349";"5349";"Business taxation";""
+3;"5350";"5350";"Innovation research";""
+3;"5351";"5351";"Public economy";""
+3;"5352";"5352";"Human resource management, personnel management";""
+3;"5353";"5353";"Environmental economics";""
+3;"5354";"5354";"Business logistics";""
+3;"5355";"5355";"Computer integrated manufacturing (CIM)";""
+3;"5356";"5356";"Hospital economics";""
+3;"5357";"5357";"Management consulting";""
+3;"5358";"5358";"Corporate finances";""
+3;"5359";"5359";"Controlling";""
+3;"5360";"5360";"Financial mathematics";""
+3;"5361";"5361";"Financial management";""
+3;"5362";"5362";"Cultural economics";""
+3;"5363";"5363";"Non-profit-sector research (NPO, NPI)";""
+3;"5364";"5364";"Project management";""
+3;"5365";"5365";"Quality management";""
+3;"5366";"5366";"Information society";""
+3;"5367";"5367";"Management information systems";""
+3;"5368";"5368";"Sustainable development, sustainable economics";""
+3;"5369";"5369";"Environmental management";""
+3;"5370";"5370";"Industrial economics";""
+3;"5371";"5371";"Macroeconomics";""
+3;"5372";"5372";"Regulatory economics";""
+2;"54";"54";"Sociology";""
+3;"5401";"5401";"General social research";""
+3;"5402";"5402";"General sociology";""
+3;"5403";"5403";"Educational sociology";""
+3;"5404";"5404";"Demography";""
+3;"5405";"5405";"Empirical social research";""
+3;"5406";"5406";"Foreign aid";""
+3;"5407";"5407";"Ethics and social sciences";""
+3;"5408";"5408";"Peace research";""
+3;"5409";"5409";"Social research and church";""
+3;"5410";"5410";"Cultural science";""
+3;"5411";"5411";"Social philosophy";""
+3;"5412";"5412";"Sociography";""
+3;"5413";"5413";"Sociological methods";""
+3;"5414";"5414";"Special sociology";""
+3;"5415";"5415";"Economic sociology";""
+3;"5416";"5416";"Industrial sociology";""
+3;"5417";"5417";"Women?s studies, Women?s issues";""
+3;"5418";"5418";"Gerontology";""
+3;"5419";"5419";"Medical sociology";""
+3;"5420";"5420";"Music sociology";""
+3;"5421";"5421";"Aging research";""
+3;"5422";"5422";"Feminist issues";""
+3;"5423";"5423";"Child research, youth research";""
+3;"5424";"5424";"Pedagogical sociology";""
+3;"5425";"5425";"Environmental sociology";""
+3;"5426";"5426";"Information society";""
+3;"5427";"5427";"Poverty research, social exclusion";""
+3;"5428";"5428";"Migration research, emigration -";""
+3;"5429";"5429";"Genealogy";""
+3;"5430";"5430";"Sociology of law";""
+3;"5431";"5431";"Sociology of technology";""
+3;"5432";"5432";"Leisure time research";""
+3;"5433";"5433";"Gender studies";""
+3;"5434";"5434";"Sociology of religion";""
+3;"5435";"5435";"Addiction research";""
+2;"55";"55";"Psychology";""
+3;"5501";"5501";"General psychology";""
+3;"5502";"5502";"Occupational-, industrial psychology";""
+3;"5503";"5503";"Differential psychology";""
+3;"5504";"5504";"Experimental psychology";""
+3;"5505";"5505";"Child and adolescent psychology";""
+3;"5506";"5506";"Psychology of learning";""
+3;"5507";"5507";"Motivational psychology";""
+3;"5508";"5508";"Educational psychology";""
+3;"5509";"5509";"Psychological methodology";""
+3;"5510";"5510";"Psychotherapy";""
+3;"5511";"5511";"Social psychology";""
+3;"5512";"5512";"Depth psychology";""
+3;"5513";"5513";"Behavioural psychology";""
+3;"5514";"5514";"Traffic psychology";""
+3;"5515";"5515";"Psychology of perception";""
+3;"5516";"5516";"Clinical psychology";""
+3;"5517";"5517";"Organisational psychology";""
+3;"5518";"5518";"Parapsychology";""
+3;"5519";"5519";"Pastoral psychology";""
+3;"5520";"5520";"Disability issues, Handicapped research";""
+3;"5521";"5521";"Cognitive psychology";""
+3;"5522";"5522";"Psychophysiology";""
+3;"5523";"5523";"Legal psychology";""
+3;"5524";"5524";"Developmental psychology";""
+3;"5525";"5525";"Genealogy";""
+3;"5526";"5526";"Conflict research";""
+3;"5527";"5527";"Mediation";""
+3;"5528";"5528";"Sexology, sex education";""
+3;"5529";"5529";"Group dynamics";""
+3;"5530";"5530";"Psychoanalysis";""
+3;"5531";"5531";"Behavioural therapy";""
+3;"5532";"5532";"Applied psychology";""
+3;"5533";"5533";"Addiction research";""
+2;"56";"56";"Regional Planning";""
+3;"5601";"5601";"Zoning";""
+3;"5602";"5602";"Land use planning";""
+3;"5603";"5603";"Landscape preservation";""
+3;"5604";"5604";"Nature conservation (- research)";""
+3;"5605";"5605";"Regional planning";""
+3;"5606";"5606";"Spatial research";""
+3;"5607";"5607";"Spatial structure";""
+3;"5608";"5608";"Regional development planning";""
+3;"5609";"5609";"Urban planning";""
+3;"5610";"5610";"Urban development planning";""
+3;"5611";"5611";"Urban and regional analysis";""
+3;"5612";"5612";"Economics of location";""
+3;"5613";"5613";"Site selection";""
+3;"5614";"5614";"Environmental planning";""
+3;"5615";"5615";"Traffic planning, - security";""
+3;"5616";"5616";"Geographic Information Systems (GIS)";""
+3;"5617";"5617";"Landscape planning";""
+3;"5618";"5618";"Regional economy";""
+3;"5619";"5619";"Landscape ecology";""
+3;"5620";"5620";"Cultural landscape research";""
+3;"5621";"5621";"Landscape architecture";""
+2;"57";"57";"Applied Statistics, Social Statistics";""
+3;"5701";"5701";"Applied statistics";""
+3;"5702";"5702";"Population statistics";""
+3;"5703";"5703";"Demography";""
+3;"5704";"5704";"Social statistics";""
+3;"5705";"5705";"Statistical surveys";""
+3;"5706";"5706";"Economic statistics";""
+3;"5707";"5707";"Time series analysis";""
+2;"58";"58";"Pedagogy, Educational Sciences";""
+3;"5801";"5801";"General education";""
+3;"5802";"5802";"Applied pedagogy";""
+3;"5803";"5803";"Educational research";""
+3;"5804";"5804";"Educational economy";""
+3;"5805";"5805";"Educational planning";""
+3;"5806";"5806";"Educational sociology";""
+3;"5807";"5807";"Didactics";""
+3;"5808";"5808";"University didactics";""
+3;"5809";"5809";"Physical education";""
+3;"5810";"5810";"Psychology of learning";""
+3;"5811";"5811";"Motivational psychology";""
+3;"5812";"5812";"Educational psychology";""
+3;"5813";"5813";"School pedagogy";""
+3;"5814";"5814";"Sport sciences";""
+3;"5815";"5815";"Theoretical pedagogy";""
+3;"5816";"5816";"Education science";""
+3;"5817";"5817";"Comparative educational science";""
+3;"5818";"5818";"Business education";""
+3;"5819";"5819";"Vocational pedagogy";""
+3;"5820";"5820";"In-company education and training";""
+3;"5821";"5821";"Adult education";""
+3;"5822";"5822";"Media pedagogy";""
+3;"5823";"5823";"Social pedagogy";""
+3;"5824";"5824";"Orthopaedagogy";""
+3;"5825";"5825";"Breathing and vocal training";""
+3;"5826";"5826";"Leisure/recreation pedagogy";""
+3;"5827";"5827";"Museum didactics";""
+3;"5828";"5828";"Subject didactics (natural sciences)";""
+3;"5829";"5829";"Subject didactics (technical sciences)";""
+3;"5830";"5830";"Subject didactics (human medicine)";""
+3;"5831";"5831";"Subject didactics (agriculture, forestry and veterinary medicine)";""
+3;"5832";"5832";"Subject didactics (social sciences)";""
+3;"5833";"5833";"Subject didactics (humanities)";""
+3;"5834";"5834";"Disability issues, Handicapped research";""
+3;"5835";"5835";"Pedagogical sociology";""
+3;"5836";"5836";"School mathematics (didactics)";""
+3;"5837";"5837";"Group dynamics";""
+3;"5838";"5838";"E-learning, telelearning";""
+3;"5839";"5839";"Exercise sciences";""
+3;"5840";"5840";"Music education";""
+3;"5841";"5841";"Gifted and talented education research";""
+3;"5842";"5842";"Political education";""
+2;"59";"59";"Other and interdisciplinary Social Sciences";""
+3;"5901";"5901";"General social research";""
+3;"5902";"5902";"Labour market research";""
+3;"5903";"5903";"Labour market policy";""
+3;"5904";"5904";"Ergonomics";""
+3;"5905";"5905";"Career guidance";""
+3;"5906";"5906";"Educational economy";""
+3;"5907";"5907";"Foreign aid";""
+3;"5908";"5908";"Cultural geography";""
+3;"5909";"5909";"Regional geography";""
+3;"5910";"5910";"Military strategic research";""
+3;"5911";"5911";"Social policy";""
+3;"5912";"5912";"Social sciences (interdisciplinary)";""
+3;"5913";"5913";"Sociological documentation";""
+3;"5914";"5914";"Environmental research";""
+3;"5915";"5915";"Economic geography";""
+3;"5916";"5916";"Vocational instruction";""
+3;"5917";"5917";"Communication science";""
+3;"5918";"5918";"Media research, -studies";""
+3;"5919";"5919";"Operations research";""
+3;"5920";"5920";"Journalism";""
+3;"5921";"5921";"Social geography";""
+3;"5922";"5922";"Systems analysis";""
+3;"5923";"5923";"Technology assessment";""
+3;"5924";"5924";"Environmental economics";""
+3;"5925";"5925";"Civil defence and disaster control";""
+3;"5926";"5926";"Subject didactics (social sciences)";""
+3;"5927";"5927";"Ethnography";""
+3;"5928";"5928";"Ethnology";""
+3;"5929";"5929";"Ethnosociology";""
+3;"5930";"5930";"Cultural anthropology";""
+3;"5932";"5932";"European ethnology";""
+3;"5933";"5933";"Aging research";""
+3;"5934";"5934";"Disability issues, Handicapped research";""
+3;"5935";"5935";"Women?s studies, Women?s issues";""
+3;"5936";"5936";"Research and innovation management";""
+3;"5937";"5937";"Information systems";""
+3;"5938";"5938";"Child research, youth research";""
+3;"5939";"5939";"Environmental protection";""
+3;"5940";"5940";"Ethnic group research";""
+3;"5941";"5941";"Information society";""
+3;"5942";"5942";"European integration";""
+3;"5943";"5943";"Risk research";""
+3;"5944";"5944";"Technology transfer";""
+3;"5945";"5945";"Organisational development";""
+3;"5946";"5946";"Cooperation between science and economics";""
+3;"5947";"5947";"Minorities research";""
+3;"5948";"5948";"Actions research";""
+3;"5949";"5949";"Audiovisual media";""
+3;"5950";"5950";"Ecodesign";""
+3;"5951";"5951";"E-government";""
+3;"5952";"5952";"Migration research, emigration -,";""
+3;"5953";"5953";"Game theory";""
+3;"5954";"5954";"Knowledge management";""
+3;"5955";"5955";"Futurology, interdisciplinary";""
+3;"5956";"5956";"Leisure time research";""
+3;"5957";"5957";"Gender studies (soical sciences)";""
+3;"5958";"5958";"History of social sciences";""
+3;"5959";"5959";"Accident research";""
+3;"5960";"5960";"Game research";""
+3;"5961";"5961";"Population geography";""
+3;"5962";"5962";"Development cooperation";""
+3;"5963";"5963";"Evaluation research";""
+3;"5964";"5964";"Scientific research";""
+3;"5965";"5965";"Graffiti research";""
+3;"5966";"5966";"Journalism";""
+1;"6";"6";"HUMANITIES";""
+2;"61";"61";"Philosophy";""
+3;"6101";"6101";"General philosophy";""
+3;"6102";"6102";"Epistemology";""
+3;"6103";"6103";"Ethics";""
+3;"6104";"6104";"Philosophy of history";""
+3;"6105";"6105";"Logic";""
+3;"6106";"6106";"Metaphysics";""
+3;"6107";"6107";"Natural philosophy";""
+3;"6108";"6108";"Philosophical social studies";""
+3;"6109";"6109";"Philosophical sociology";""
+3;"6110";"6110";"Legal and political philosophy";""
+3;"6111";"6111";"Theory of science";""
+3;"6112";"6112";"Philosophy of language";""
+3;"6113";"6113";"Aesthetics";""
+3;"6114";"6114";"Philosophical anthropology";""
+3;"6115";"6115";"Philosophy of religion";""
+3;"6116";"6116";"Hermeneutics";""
+3;"6117";"6117";"Medical ethics";""
+3;"6118";"6118";"Philosophy of technology";""
+3;"6119";"6119";"Social philosophy";""
+3;"6120";"6120";"History of science";""
+3;"6121";"6121";"Bioethics";""
+3;"6122";"6122";"Cultural philosophy";""
+3;"6123";"6123";"Business ethics";""
+2;"64";"64";"Theology";""
+3;"6401";"6401";"Bible studies (Old Testament)";""
+3;"6402";"6402";"Studies in atheism";""
+3;"6403";"6403";"Christian archaeology";""
+3;"6404";"6404";"Christian philosophy";""
+3;"6405";"6405";"Dogmatic theology";""
+3;"6406";"6406";"Fundamental theology";""
+3;"6407";"6407";"Catechetics";""
+3;"6408";"6408";"Church history";""
+3;"6409";"6409";"Canon law";""
+3;"6410";"6410";"Liturgics";""
+3;"6411";"6411";"Moral theology";""
+3;"6412";"6412";"Bible studies (New Testament)";""
+3;"6413";"6413";"Ecumenical theology";""
+3;"6414";"6414";"Pastoral theology";""
+3;"6415";"6415";"Patrology";""
+3;"6416";"6416";"Pedagogy of religion";""
+3;"6417";"6417";"Religious science";""
+3;"6418";"6418";"Theological anthropology";""
+3;"6419";"6419";"Christian social doctrine";""
+3;"6420";"6420";"Pastoral psychology";""
+3;"6421";"6421";"Philosophy of religion";""
+3;"6422";"6422";"Exegesis";""
+3;"6423";"6423";"Feminist issues";""
+3;"6424";"6424";"History of religion";""
+3;"6425";"6425";"Spiritual theology";""
+3;"6426";"6426";"Homiletics";""
+3;"6427";"6427";"Sociology of religion";""
+3;"6428";"6428";"Pastoral care";""
+2;"65";"65";"Historical Sciences";""
+3;"6501";"6501";"Ancient history";""
+3;"6502";"6502";"Classical studies";""
+3;"6503";"6503";"Numismatics";""
+3;"6504";"6504";"Archive studies";""
+3;"6505";"6505";"Early history";""
+3;"6506";"6506";"History of the Austro-Hungarian Monarchy";""
+3;"6507";"6507";"Historical regional studies";""
+3;"6508";"6508";"Science of history";""
+3;"6509";"6509";"Historical auxiliary sciences";""
+3;"6510";"6510";"Classical archaeology";""
+3;"6511";"6511";"Medieval history";""
+3;"6512";"6512";"Museology";""
+3;"6513";"6513";"Modern history";""
+3;"6514";"6514";"Austrian history";""
+3;"6515";"6515";"East European history";""
+3;"6516";"6516";"Source studies, source edition";""
+3;"6517";"6517";"Legal history";""
+3;"6518";"6518";"Social history";""
+3;"6519";"6519";"Southeast European history";""
+3;"6520";"6520";"Prehistory";""
+3;"6521";"6521";"Economic history";""
+3;"6522";"6522";"Contemporary history";""
+3;"6523";"6523";"Archaeology";""
+3;"6524";"6524";"Regional history";""
+3;"6525";"6525";"Urban history";""
+3;"6526";"6526";"History of science";""
+3;"6527";"6527";"Cultural history";""
+3;"6528";"6528";"Papyrology";""
+3;"6529";"6529";"Epigraphic";""
+3;"6530";"6530";"Feminist issues";""
+3;"6532";"6532";"Minorities research";""
+3;"6533";"6533";"History of music";""
+3;"6534";"6534";"History of humanities";""
+3;"6535";"6535";"History of natural sciences";""
+3;"6536";"6536";"History of social sciences";""
+3;"6537";"6537";"History of technical sciences";""
+3;"6538";"6538";"History of veterinary medicine";""
+3;"6539";"6539";"Palaeography, codicology";""
+2;"66";"66";"Linguistics and Literature";""
+3;"6601";"6601";"General literature studies";""
+3;"6602";"6602";"General language studies";""
+3;"6603";"6603";"American studies";""
+3;"6604";"6604";"Applied linguistics";""
+3;"6605";"6605";"English language and literature";""
+3;"6606";"6606";"Diachronic linguistics";""
+3;"6607";"6607";"Interpreting, translating education";""
+3;"6608";"6608";"German studies";""
+3;"6609";"6609";"Indo-European linguistics";""
+3;"6610";"6610";"Classical philology";""
+3;"6611";"6611";"Linguistics";""
+3;"6612";"6612";"Dialectology";""
+3;"6613";"6613";"Onomastics";""
+3;"6614";"6614";"Scandinavian studies";""
+3;"6615";"6615";"Romance studies";""
+3;"6616";"6616";"Slavonic studies";""
+3;"6617";"6617";"Literature studies (also: comparative -)";""
+3;"6618";"6618";"Language studies (also: comparative -)";""
+3;"6619";"6619";"Lexicography";""
+3;"6620";"6620";"History of literature";""
+3;"6621";"6621";"Medieval Latin philology";""
+3;"6622";"6622";"Psycholinguistics";""
+3;"6623";"6623";"Sociolinguistics";""
+3;"6624";"6624";"Language instruction research";""
+3;"6625";"6625";"Technical language studies";""
+3;"6626";"6626";"Hermeneutics";""
+3;"6628";"6628";"Celtology";""
+3;"6629";"6629";"Terminology";""
+3;"6630";"6630";"Sign language research";""
+3;"6631";"6631";"Translation and interpreting studies";""
+3;"6632";"6632";"Australian studies";""
+3;"6633";"6633";"Computational linguistics";""
+3;"6634";"6634";"Cognitive linguistics";""
+3;"6635";"6635";"Electronic voice processing";""
+3;"6636";"6636";"Semiotics";""
+3;"6637";"6637";"Phonetics";""
+3;"6638";"6638";"Greek studies";""
+3;"6639";"6639";"Latinistics";""
+3;"6640";"6640";"Finno-Ugrian languages";""
+3;"6641";"6641";"Neo-Latin philology";""
+3;"6642";"6642";"Phonology";""
+3;"6643";"6643";"Synchronic linguistics";""
+3;"6644";"6644";"Dutch studies";""
+2;"67";"67";"Other Philological and Cultural Sciences";""
+3;"6701";"6701";"African studies";""
+3;"6702";"6702";"Egyptology";""
+3;"6704";"6704";"Ancient Semitic studies";""
+3;"6705";"6705";"Arabic studies";""
+3;"6706";"6706";"Buddhology";""
+3;"6707";"6707";"Byzantine studies";""
+3;"6709";"6709";"Indology";""
+3;"6710";"6710";"Islamic studies";""
+3;"6711";"6711";"Japanology";""
+3;"6712";"6712";"Judaism";""
+3;"6713";"6713";"Orientalism";""
+3;"6714";"6714";"Sinology";""
+3;"6715";"6715";"Tibetology";""
+3;"6716";"6716";"Turcology";""
+3;"6717";"6717";"Papyrology";""
+3;"6718";"6718";"Epigraphic";""
+3;"6719";"6719";"Iranian studies";""
+3;"6720";"6720";"History of religion";""
+3;"6721";"6721";"Cultural science";""
+3;"6723";"6723";"Palaeography, codicology";""
+3;"6724";"6724";"Phonetics";""
+3;"6725";"6725";"Coptology";""
+2;"68";"68";"Arts";""
+3;"6801";"6801";"Applied arts";""
+3;"6802";"6802";"Fine arts";""
+3;"6803";"6803";"Performing arts";""
+3;"6804";"6804";"Preservation of monuments";""
+3;"6805";"6805";"Industrial design";""
+3;"6806";"6806";"Classical archaeology";""
+3;"6807";"6807";"Art education";""
+3;"6808";"6808";"Art history";""
+3;"6809";"6809";"Museology";""
+3;"6810";"6810";"Music";""
+3;"6811";"6811";"Music education";""
+3;"6812";"6812";"Musicology";""
+3;"6813";"6813";"Restoration, Conservation";""
+3;"6814";"6814";"Theatre studies";""
+3;"6815";"6815";"Product design";""
+3;"6816";"6816";"Breathing and vocal training";""
+3;"6817";"6817";"Music sociology";""
+3;"6818";"6818";"Folk music studies";""
+3;"6819";"6819";"Cultural economics";""
+3;"6820";"6820";"Film studies";""
+3;"6821";"6821";"History of music";""
+3;"6822";"6822";"Singing";""
+3;"6823";"6823";"Jazz studies";""
+3;"6824";"6824";"Church music";""
+3;"6825";"6825";"Popular music studies";""
+3;"6826";"6826";"Ethnomusicology";""
+3;"6827";"6827";"Music theory";""
+3;"6828";"6828";"Architectural design";""
+3;"6829";"6829";"Stage design";""
+3;"6830";"6830";"Design";""
+3;"6831";"6831";"Art theory";""
+3;"6832";"6832";"Media arts";""
+3;"6833";"6833";"Scenography";""
+3;"6834";"6834";"Performance practice";""
+3;"6835";"6835";"Dance science";""
+2;"69";"69";"Other and interdisciplinary Humanities";""
+3;"6901";"6901";"Library science";""
+3;"6902";"6902";"Documentation (humanities)";""
+3;"6903";"6903";"Humanities (interdisciplinary)";""
+3;"6904";"6904";"Communication science";""
+3;"6905";"6905";"Media research, -studies";""
+3;"6906";"6906";"Public research";""
+3;"6907";"6907";"Journalism";""
+3;"6908";"6908";"Subject didactics (humanities)";""
+3;"6909";"6909";"Cultural economics";""
+3;"6910";"6910";"Rhetoric";""
+3;"6911";"6911";"History of humanities";""
+3;"6912";"6912";"Gender studies (humanities)";""
+3;"6913";"6913";"Graffiti research";""
+3;"6914";"6914";"Journalism";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_DE_CTI_20171007_030438.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_DE_CTI_20171007_030438.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cb6886d5aca90305957d715603d29807390b0362
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_DE_CTI_20171007_030438.txt
@@ -0,0 +1,1420 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURWISSENSCHAFTEN";""
+2;"101";"101";"Mathematik";""
+3;"1010";"1010";"Mathematik";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Angewandte Geometrie";""
+4;"101004";"101004";"Biomathematik";""
+4;"101005";"101005";"Computeralgebra";""
+4;"101006";"101006";"Differentialgeometrie";""
+4;"101007";"101007";"Finanzmathematik";""
+4;"101008";"101008";"Funktionentheorie";""
+4;"101009";"101009";"Geometrie";""
+4;"101010";"101010";"Geschichte der Mathematik";""
+4;"101011";"101011";"Graphentheorie";""
+4;"101012";"101012";"Kombinatorik";""
+4;"101013";"101013";"Mathematische Logik";""
+4;"101014";"101014";"Numerische Mathematik";""
+4;"101015";"101015";"Operations Research";""
+4;"101016";"101016";"Optimierung";""
+4;"101017";"101017";"Spieltheorie";""
+4;"101018";"101018";"Statistik";""
+4;"101019";"101019";"Stochastik";""
+4;"101020";"101020";"Technische Mathematik";""
+4;"101021";"101021";"Theoretische Kybernetik";""
+4;"101022";"101022";"Topologie";""
+4;"101023";"101023";"Versicherungsmathematik";""
+4;"101024";"101024";"Wahrscheinlichkeitstheorie";""
+4;"101025";"101025";"Zahlentheorie";""
+4;"101026";"101026";"Zeitreihenanalyse";""
+4;"101027";"101027";"Dynamische Systeme";""
+4;"101028";"101028";"Mathematische Modellierung";""
+4;"101029";"101029";"Mathematische Statistik";""
+4;"101030";"101030";"Zuverl�ssigkeitstheorie";""
+4;"101031";"101031";"Approximationstheorie";""
+4;"101032";"101032";"Funktionalanalysis";""
+2;"102";"102";"Informatik";""
+3;"1020";"1020";"Informatik";""
+4;"102001";"102001";"Artificial Intelligence";""
+4;"102002";"102002";"Augmented Reality";""
+4;"102003";"102003";"Bildverarbeitung";""
+4;"102004";"102004";"Bioinformatik";""
+4;"102005";"102005";"Computer Aided Design (CAD)";""
+4;"102006";"102006";"Computer Supported Cooperative Work (CSCW)";""
+4;"102007";"102007";"Computeranimation";""
+4;"102008";"102008";"Computergraphik";""
+4;"102009";"102009";"Computersimulation";""
+4;"102010";"102010";"Datenbanksysteme";""
+4;"102011";"102011";"Formale Sprachen";""
+4;"102012";"102012";"Geschichte der Informatik";""
+4;"102013";"102013";"Human-Computer Interaction";""
+4;"102014";"102014";"Informationsdesign";""
+4;"102015";"102015";"Informationssysteme";""
+4;"102016";"102016";"IT-Sicherheit";""
+4;"102017";"102017";"Kryptologie";""
+4;"102018";"102018";"K�nstliche Neuronale Netze";""
+4;"102019";"102019";"Machine Learning";""
+4;"102020";"102020";"Medizinische Informatik";""
+4;"102021";"102021";"Pervasive Computing";""
+4;"102022";"102022";"Softwareentwicklung";""
+4;"102023";"102023";"Supercomputing";""
+4;"102024";"102024";"Usability Research";""
+4;"102025";"102025";"Verteilte Systeme";""
+4;"102026";"102026";"Virtual Reality";""
+4;"102027";"102027";"Web Engineering";""
+4;"102028";"102028";"Knowledge Engineering";""
+4;"102029";"102029";"Praktische Informatik";""
+4;"102030";"102030";"Semantische Technologien";""
+4;"102031";"102031";"Theoretische Informatik";""
+4;"102032";"102032";"Computational Intelligence";""
+4;"102033";"102033";"Data Mining";""
+2;"103";"103";"Physik, Astronomie";""
+3;"1030";"1030";"Physik, Astronomie";""
+4;"103001";"103001";"Aerodynamik";""
+4;"103002";"103002";"Akustik";""
+4;"103003";"103003";"Astronomie";""
+4;"103004";"103004";"Astrophysik";""
+4;"103005";"103005";"Atomphysik";""
+4;"103006";"103006";"Chemische Physik";""
+4;"103007";"103007";"Dosimetrie";""
+4;"103008";"103008";"Experimentalphysik";""
+4;"103009";"103009";"Festk�rperphysik";""
+4;"103010";"103010";"Geschichte der Physik";""
+4;"103011";"103011";"Halbleiterphysik";""
+4;"103012";"103012";"Hochenergiephysik";""
+4;"103013";"103013";"Ionenphysik";""
+4;"103014";"103014";"Kernphysik";""
+4;"103015";"103015";"Kondensierte Materie";""
+4;"103016";"103016";"Laserphysik";""
+4;"103017";"103017";"Magnetismus";""
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+4;"103020";"103020";"Oberfl�chenphysik";""
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+4;"104022";"104022";"Theoretische Chemie";""
+4;"104023";"104023";"Umweltchemie";""
+4;"104024";"104024";"R�ntgenstrukturanalyse";""
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+2;"107";"107";"Andere Naturwissenschaften";""
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+4;"107006";"107006";"Naturschutz";""
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+1;"2";"2";"TECHNISCHE WISSENSCHAFTEN";""
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+4;"201101";"201101";"Baubetrieb";""
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+4;"201111";"201111";"Flussbau";""
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+4;"201113";"201113";"Holzbau";""
+4;"201114";"201114";"Industriebau";""
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+4;"201116";"201116";"Landwirtschaftliches Bauwesen";""
+4;"201117";"201117";"Leichtbau";""
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+4;"201119";"201119";"Stahlbau";""
+4;"201120";"201120";"Stahlbetonbau";""
+4;"201121";"201121";"Stra�enbau";""
+4;"201122";"201122";"Technischer Hochwasserschutz";""
+4;"201123";"201123";"Tiefbau";""
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+4;"201125";"201125";"Wasserbau";""
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+4;"201128";"201128";"Nachhaltiges Bauen";""
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+4;"201130";"201130";"Konstruktiver Glasbau";""
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+4;"201201";"201201";"Architekturgeschichte";""
+4;"201202";"201202";"Architekturmodellbau";""
+4;"201203";"201203";"Architekturtheorie";""
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+4;"201205";"201205";"Bauforschung";""
+4;"201206";"201206";"Entwerfen";""
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+4;"201209";"201209";"Innenarchitektur";""
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+4;"201211";"201211";"Solararchitektur";""
+4;"201212";"201212";"St�dtebau";""
+4;"201213";"201213";"Wohnbau";""
+4;"201214";"201214";"Experimentelle Architektur";""
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+3;"2013";"2013";"Verkehrswesen";""
+4;"201301";"201301";"Bahnbau";""
+4;"201302";"201302";"Eisenbahnwesen";""
+4;"201303";"201303";"Seilbahnwesen";""
+4;"201304";"201304";"Stra�enbau";""
+4;"201305";"201305";"Verkehrstechnik";""
+4;"201306";"201306";"Verkehrstelematik";""
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+4;"201905";"201905";"Bauen im Bestand";""
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+2;"202";"202";"Elektrotechnik, Elektronik, Informationstechnik";""
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+4;"202001";"202001";"Audiotechnik";""
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+4;"202006";"202006";"Computer Hardware";""
+4;"202007";"202007";"Computer Integrated Manufacturing (CIM)";""
+4;"202008";"202008";"Elektrische Anlagen";""
+4;"202009";"202009";"Elektrische Antriebstechnik";""
+4;"202010";"202010";"Elektrische Energietechnik";""
+4;"202011";"202011";"Elektrische Maschinen";""
+4;"202012";"202012";"Elektrische Messtechnik";""
+4;"202013";"202013";"Elektromagnetische Vertr�glichkeit";""
+4;"202014";"202014";"Elektromagnetismus";""
+4;"202015";"202015";"Elektronik";""
+4;"202016";"202016";"Elektrotechnik";""
+4;"202017";"202017";"Embedded Systems";""
+4;"202018";"202018";"Halbleiterelektronik";""
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+4;"202022";"202022";"Informationstechnik";""
+4;"202023";"202023";"Integrierte Schaltkreise";""
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+4;"202026";"202026";"Lichttechnik";""
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+4;"202030";"202030";"Nachrichtentechnik";""
+4;"202031";"202031";"Netzwerktechnik";""
+4;"202032";"202032";"Photovoltaik";""
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+4;"202034";"202034";"Regelungstechnik";""
+4;"202035";"202035";"Robotik";""
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+4;"202038";"202038";"Telekommunikation";""
+4;"202039";"202039";"Theoretische Elektrotechnik";""
+4;"202040";"202040";"�bertragungstechnik";""
+4;"202041";"202041";"Technische Informatik";""
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+2;"203";"203";"Maschinenbau";""
+3;"2030";"2030";"Maschinenbau";""
+4;"203001";"203001";"Apparatebau";""
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+4;"203011";"203011";"Leichtbau";""
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+4;"203024";"203024";"Thermodynamik";""
+4;"203025";"203025";"Tribologie";""
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+4;"203028";"203028";"W�rmetechnik";""
+4;"203029";"203029";"Werkzeugbau";""
+4;"203030";"203030";"Brennstoffzellentechnik";""
+4;"203031";"203031";"Konstruktionslehre";""
+4;"203032";"203032";"Generative Fertigungsverfahren";""
+4;"203033";"203033";"Hydraulische Antriebstechnik";""
+4;"203034";"203034";"Kontinuumsmechanik";""
+4;"203035";"203035";"Thermoprozesstechnik";""
+4;"203036";"203036";"Waffen- und Munitionstechnik";""
+2;"204";"204";"Chemische Verfahrenstechnik";""
+3;"2040";"2040";"Chemische Verfahrenstechnik";""
+4;"204001";"204001";"Anorganisch-chemische Technologie";""
+4;"204002";"204002";"Chemische Reaktionstechnik";""
+4;"204003";"204003";"Chemische Verfahrenstechnik";""
+4;"204004";"204004";"Organisch-chemische Technologie";""
+4;"204005";"204005";"Raffinerietechnik";""
+4;"204006";"204006";"Mechanische Verfahrenstechnik";""
+4;"204007";"204007";"Thermische Verfahrenstechnik";""
+2;"205";"205";"Werkstofftechnik";""
+3;"2050";"2050";"Werkstofftechnik";""
+4;"205001";"205001";"Baustoffpr�fung";""
+4;"205002";"205002";"Beschichtungstechnik";""
+4;"205003";"205003";"Feuerfeste Materialien";""
+4;"205004";"205004";"Funktionsmaterialien";""
+4;"205005";"205005";"Gesteinsh�ttenkunde";""
+4;"205006";"205006";"Holzforschung";""
+4;"205007";"205007";"Holzschutzmittel";""
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+4;"205009";"205009";"Keramische Werkstoffe";""
+4;"205010";"205010";"Korrosionsschutzmittel";""
+4;"205011";"205011";"Kunststofftechnik";""
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+4;"205013";"205013";"Schadensanalytik";""
+4;"205014";"205014";"Textiltechnik";""
+4;"205015";"205015";"Verbundwerkstoffe";""
+4;"205016";"205016";"Werkstoffpr�fung";""
+4;"205017";"205017";"Werkstofftechnik";""
+4;"205018";"205018";"Zellstoff- und Papiertechnik";""
+4;"205019";"205019";"Materialwissenschaften";""
+2;"206";"206";"Medizintechnik";""
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+4;"206001";"206001";"Biomedizinische Technik";""
+4;"206002";"206002";"Elektromedizinische Technik";""
+4;"206003";"206003";"Medizinische Physik";""
+4;"206004";"206004";"Medizintechnik";""
+4;"206005";"206005";"Prothetik";""
+4;"206006";"206006";"Rehabilitationstechnik";""
+2;"207";"207";"Umweltingenieurwesen, Angewandte Geowissenschaften";""
+3;"2071";"2071";"Umwelttechnik";""
+4;"207101";"207101";"Abfalltechnik";""
+4;"207102";"207102";"Abluftreinigung";""
+4;"207103";"207103";"Abwasserreinigung";""
+4;"207104";"207104";"Altlastensanierung";""
+4;"207105";"207105";"Deponietechnik";""
+4;"207106";"207106";"Erneuerbare Energie";""
+4;"207107";"207107";"Luftreinhaltung";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Schadstoffemission";""
+4;"207110";"207110";"Technischer Umweltschutz";""
+4;"207111";"207111";"Umwelttechnik";""
+4;"207112";"207112";"Wasseraufbereitung";""
+4;"207113";"207113";"Wasserinfrastruktur";""
+4;"207114";"207114";"Wasserwirtschaft";""
+3;"2072";"2072";"Ingenieurgeologie, Geotechnik";""
+4;"207201";"207201";"Bodenmechanik";""
+4;"207202";"207202";"Erdbau";""
+4;"207203";"207203";"Felsmechanik";""
+4;"207204";"207204";"Geotechnik";""
+4;"207205";"207205";"Grundbau";""
+4;"207206";"207206";"Ingenieurgeologie";""
+4;"207207";"207207";"Tunnelbau";""
+4;"207208";"207208";"Tunnelbel�ftung";""
+3;"2073";"2073";"Bergbau, Erd�lgewinnung";""
+4;"207301";"207301";"Aufbereitung mineralischer Rohstoffe";""
+4;"207302";"207302";"Bergbaukunde";""
+4;"207303";"207303";"Bergschadenkunde";""
+4;"207304";"207304";"Erdgasgewinnung";""
+4;"207305";"207305";"Erdgastechnik";""
+4;"207306";"207306";"Erd�lgeologie";""
+4;"207307";"207307";"Erd�lgewinnung";""
+4;"207308";"207308";"Erd�ltechnik";""
+4;"207309";"207309";"Geschichte des Bergbaus";""
+4;"207310";"207310";"Gewinnung mineralischer Rohstoffe";""
+4;"207311";"207311";"Lagerst�ttenkunde";""
+4;"207312";"207312";"Markscheidekunde";""
+4;"207313";"207313";"Tiefbohrtechnik";""
+4;"207314";"207314";"Untertagebau";""
+3;"2074";"2074";"Geod�sie, Vermessungswesen";""
+4;"207401";"207401";"3D-Vermessung";""
+4;"207402";"207402";"Fernerkundung";""
+4;"207403";"207403";"Geod�sie";""
+4;"207404";"207404";"Geoinformatik";""
+4;"207405";"207405";"Ingenieurgeod�sie";""
+4;"207406";"207406";"Kartographie";""
+4;"207407";"207407";"Katastervermessung";""
+4;"207408";"207408";"Landesvermessung";""
+4;"207409";"207409";"Navigationssysteme";""
+4;"207410";"207410";"Photogrammetrie";""
+4;"207411";"207411";"Satellitengeod�sie";""
+4;"207412";"207412";"Satellitengest�tzte Koordinatenmessung";""
+4;"207413";"207413";"Vermessungswesen";""
+3;"2079";"2079";"Sonstiges Umweltingenieurwesen, Angewandte Geowissenschaften";""
+4;"207901";"207901";"Offshore-Technik";""
+2;"208";"208";"Umweltbiotechnologie";""
+3;"2080";"2080";"Umweltbiotechnologie";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Ethik in der Umweltbiotechnologie";""
+4;"208003";"208003";"Umweltbiotechnologie";""
+2;"209";"209";"Industrielle Biotechnologie";""
+3;"2090";"2090";"Industrielle Biotechnologie";""
+4;"209001";"209001";"Biokatalyse";""
+4;"209002";"209002";"Bioprozesstechnik";""
+4;"209003";"209003";"Biotreibstoffe";""
+4;"209004";"209004";"Enzymtechnologie";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrielle Biotechnologie";""
+2;"210";"210";"Nanotechnologie";""
+3;"2100";"2100";"Nanotechnologie";""
+4;"210001";"210001";"Nanoanalytik";""
+4;"210002";"210002";"Nanobiotechnologie";""
+4;"210003";"210003";"Nanoelektronik";""
+4;"210004";"210004";"Nanomaterialien";""
+4;"210005";"210005";"Nanophotonik";""
+4;"210006";"210006";"Nanotechnologie";""
+2;"211";"211";"Andere Technische Wissenschaften";""
+3;"2111";"2111";"Metallurgie";""
+4;"211101";"211101";"Eisen- und Stahlmetallurgie";""
+4;"211102";"211102";"Gie�ereitechnik";""
+4;"211103";"211103";"Metallkunde";""
+4;"211104";"211104";"Metallurgie";""
+4;"211105";"211105";"Nichteisenmetallurgie";""
+4;"211106";"211106";"Leichtmetalle";""
+4;"211107";"211107";"Sekund�rmetallurgie";""
+3;"2112";"2112";"Lebensmitteltechnologie";""
+4;"211201";"211201";"Getreidetechnologie";""
+4;"211202";"211202";"Lebensmitteltechnologie";""
+4;"211203";"211203";"Lebensmittelverfahrenstechnik";""
+4;"211204";"211204";"Fleischtechnologie";""
+3;"2119";"2119";"Sonstige Technische Wissenschaften";""
+4;"211901";"211901";"Abfallvermeidung";""
+4;"211902";"211902";"Assistierende Technologien";""
+4;"211903";"211903";"Betriebswissenschaften";""
+4;"211904";"211904";"Biomechanik";""
+4;"211905";"211905";"Bionik";""
+4;"211906";"211906";"Brandschutz";""
+4;"211907";"211907";"Energieeinsparung";""
+4;"211908";"211908";"Energieforschung";""
+4;"211909";"211909";"Energietechnik";""
+4;"211910";"211910";"L�rmschutz";""
+4;"211911";"211911";"Nachhaltige Technologien";""
+4;"211912";"211912";"Produktgestaltung";""
+4;"211913";"211913";"Qualit�tssicherung";""
+4;"211914";"211914";"Risikoforschung";""
+4;"211915";"211915";"Solartechnik";""
+4;"211916";"211916";"Sprengtechnik";""
+4;"211917";"211917";"Technikfolgenabsch�tzung";""
+4;"211918";"211918";"Technikgeschichte";""
+4;"211919";"211919";"Thermographie";""
+4;"211920";"211920";"Verpackungstechnik";""
+4;"211921";"211921";"Zivil- und Katastrophenschutz";""
+4;"211922";"211922";"Energiespeicherung";""
+4;"211923";"211923";"Fabrikplanung";""
+4;"211924";"211924";"Prozess- und Anlagensicherheit";""
+1;"3";"3";"HUMANMEDIZIN, GESUNDHEITSWISSENSCHAFTEN";""
+2;"301";"301";"Medizinisch-theoretische Wissenschaften, Pharmazie";""
+3;"3011";"3011";"Anatomie, Pathologie, Physiologie";""
+4;"301101";"301101";"Allgemeine Pathologie";""
+4;"301102";"301102";"Anatomie";""
+4;"301103";"301103";"Diagnostik in der Medizin";""
+4;"301104";"301104";"Embryologie";""
+4;"301105";"301105";"Experimentelle Pathologie";""
+4;"301106";"301106";"Funktionelle Anatomie";""
+4;"301107";"301107";"Histologie";""
+4;"301108";"301108";"Molekulare Pathologie";""
+4;"301109";"301109";"Pathophysiologie";""
+4;"301110";"301110";"Physiologie";""
+4;"301111";"301111";"R�ntgenanatomie";""
+4;"301112";"301112";"Systematische Anatomie";""
+4;"301113";"301113";"Topographische Anatomie";""
+4;"301114";"301114";"Zellbiologie";""
+3;"3012";"3012";"Pharmazie, Pharmakologie, Toxikologie";""
+4;"301201";"301201";"Arzneimittel-, Arzneistoffanalyse";""
+4;"301202";"301202";"Geschichte der Pharmazie";""
+4;"301203";"301203";"Pharmakodynamik";""
+4;"301204";"301204";"Pharmakognosie";""
+4;"301205";"301205";"Pharmakokinetik";""
+4;"301206";"301206";"Pharmakologie";""
+4;"301207";"301207";"Pharmazeutische Chemie";""
+4;"301208";"301208";"Pharmazeutische Technologie";""
+4;"301209";"301209";"Pharmazie";""
+4;"301210";"301210";"Psychopharmakologie";""
+4;"301211";"301211";"Toxikologie";""
+4;"301212";"301212";"Klinische Pharmazie";""
+4;"301213";"301213";"Drug Targeting";""
+3;"3013";"3013";"Medizinische Biochemie, Humangenetik";""
+4;"301301";"301301";"Humangenetik";""
+4;"301302";"301302";"Lipidforschung";""
+4;"301303";"301303";"Medizinische Biochemie";""
+4;"301304";"301304";"Medizinische Biologie";""
+4;"301305";"301305";"Medizinische Chemie";""
+4;"301306";"301306";"Medizinische Molekularbiologie";""
+4;"301307";"301307";"Zytogenetik";""
+3;"3014";"3014";"Neurowissenschaften";""
+4;"301401";"301401";"Hirnforschung";""
+4;"301402";"301402";"Neurobiologie";""
+4;"301403";"301403";"Neurochemie";""
+4;"301404";"301404";"Neuroimmunologie";""
+4;"301405";"301405";"Neuropathologie";""
+4;"301406";"301406";"Neuropharmakologie";""
+4;"301407";"301407";"Neurophysiologie";""
+4;"301408";"301408";"Psychophysiologie";""
+4;"301409";"301409";"Neuroanatomie";""
+3;"3019";"3019";"Sonstige Medizinisch-theoretische Wissenschaften";""
+4;"301901";"301901";"Blutgruppenserologie";""
+4;"301902";"301902";"Immunologie";""
+4;"301903";"301903";"Impfstoffentwicklung";""
+4;"301904";"301904";"Krebsforschung";""
+4;"301905";"301905";"Psychoneuroimmunologie";""
+4;"301906";"301906";"Serologie";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Klinische Medizin";""
+3;"3020";"3020";"Klinische Medizin";""
+4;"302001";"302001";"Akupunktur";""
+4;"302002";"302002";"Allergologie";""
+4;"302003";"302003";"Allgemeinchirurgie";""
+4;"302004";"302004";"An�sthesiologie";""
+4;"302005";"302005";"Andrologie";""
+4;"302006";"302006";"Angiologie";""
+4;"302007";"302007";"Augenheilkunde";""
+4;"302008";"302008";"Balneologie";""
+4;"302009";"302009";"Chemotherapie";""
+4;"302010";"302010";"Computertomographie (CT)";""
+4;"302011";"302011";"Dermatologie";""
+4;"302012";"302012";"Diabetologie";""
+4;"302013";"302013";"Diagnostik in der Medizin";""
+4;"302014";"302014";"Endokrinologie";""
+4;"302015";"302015";"Experimentelle Chirurgie";""
+4;"302016";"302016";"Gastroenterologie";""
+4;"302017";"302017";"Geburtshilfe";""
+4;"302018";"302018";"Gef��chirurgie";""
+4;"302019";"302019";"Geriatrie";""
+4;"302020";"302020";"Gerontologie";""
+4;"302021";"302021";"Geschichte der Psychiatrie";""
+4;"302022";"302022";"Gyn�kologie";""
+4;"302023";"302023";"Hals-, Nasen-, Ohrenheilkunde";""
+4;"302024";"302024";"H�matologie";""
+4;"302025";"302025";"Hepatologie";""
+4;"302026";"302026";"Herzchirurgie";""
+4;"302027";"302027";"H�r-, Stimm- und Sprachst�rungen";""
+4;"302028";"302028";"Hyperbare Medizin";""
+4;"302029";"302029";"Implantologie";""
+4;"302030";"302030";"Innere Medizin";""
+4;"302031";"302031";"Intensivmedizin";""
+4;"302032";"302032";"Kardiologie";""
+4;"302033";"302033";"Kieferchirurgie";""
+4;"302034";"302034";"Kieferorthop�die";""
+4;"302035";"302035";"Kinder- und Jugendheilkunde";""
+4;"302036";"302036";"Kinder- und Jugendpsychiatrie";""
+4;"302037";"302037";"Kinderchirurgie";""
+4;"302038";"302038";"Klinische Neuropsychologie";""
+4;"302039";"302039";"Komplement�rmedizin";""
+4;"302040";"302040";"Labordiagnostik";""
+4;"302041";"302041";"Laserchirurgie";""
+4;"302042";"302042";"Logop�die";""
+4;"302043";"302043";"Magnetresonanztomographie (MRT)";""
+4;"302044";"302044";"Medizinische Physik";""
+4;"302045";"302045";"Medizinische Psychologie";""
+4;"302046";"302046";"Medizinische Psychotherapie";""
+4;"302047";"302047";"Mikrochirurgie";""
+4;"302048";"302048";"Minimal-invasive Chirurgie";""
+4;"302049";"302049";"Neonatologie";""
+4;"302050";"302050";"Nephrologie";""
+4;"302051";"302051";"Neurochirurgie";""
+4;"302052";"302052";"Neurologie";""
+4;"302053";"302053";"Notfallmedizin";""
+4;"302054";"302054";"Nuklearmedizin";""
+4;"302055";"302055";"Onkologie";""
+4;"302056";"302056";"Onkologische Chirurgie";""
+4;"302057";"302057";"Orthop�die";""
+4;"302058";"302058";"Palliativmedizin";""
+4;"302059";"302059";"Parodontologie";""
+4;"302060";"302060";"Perinatologie";""
+4;"302061";"302061";"Physikalische Medizin";""
+4;"302062";"302062";"Plastische und Rekonstruktive Chirurgie";""
+4;"302063";"302063";"Polytraumaversorgung";""
+4;"302064";"302064";"Pr�natale Diagnostik";""
+4;"302065";"302065";"Psychiatrie";""
+4;"302066";"302066";"Psychopathologie";""
+4;"302067";"302067";"Psychosomatik";""
+4;"302068";"302068";"Pulmologie";""
+4;"302069";"302069";"Radiochirurgie";""
+4;"302070";"302070";"Radiodiagnostik";""
+4;"302071";"302071";"Radiologie";""
+4;"302072";"302072";"Rheumatologie";""
+4;"302073";"302073";"Schlafmedizin";""
+4;"302074";"302074";"Schmerzmedizin";""
+4;"302075";"302075";"Sonographie";""
+4;"302076";"302076";"Sozialpsychiatrie";""
+4;"302077";"302077";"Stammzellentransplantation";""
+4;"302078";"302078";"Stoffwechselerkrankungen";""
+4;"302079";"302079";"Strahlenschutz";""
+4;"302080";"302080";"Strahlentherapie";""
+4;"302081";"302081";"Thoraxchirurgie";""
+4;"302082";"302082";"Transfusionsmedizin";""
+4;"302083";"302083";"Transplantationschirurgie";""
+4;"302084";"302084";"Transplantationsmedizin";""
+4;"302085";"302085";"Unfallchirurgie";""
+4;"302086";"302086";"Urologie";""
+4;"302087";"302087";"Venerologie";""
+4;"302088";"302088";"Zahn-, Mund- und Kieferheilkunde";""
+4;"302089";"302089";"Reproduktionsmedizin";""
+4;"302090";"302090";"Allgemeinmedizin";""
+4;"302091";"302091";"Immuntherapie";""
+4;"302092";"302092";"Orale Chirurgie";""
+2;"303";"303";"Gesundheitswissenschaften";""
+3;"3030";"3030";"Gesundheitswissenschaften";""
+4;"303001";"303001";"Arbeitsmedizin";""
+4;"303002";"303002";"Bakteriologie";""
+4;"303003";"303003";"Berufskrankheiten";""
+4;"303004";"303004";"Bewegungswissenschaft";""
+4;"303005";"303005";"Biomechanik des Sports";""
+4;"303006";"303006";"Di�tologie";""
+4;"303007";"303007";"Epidemiologie";""
+4;"303008";"303008";"Ergonomie";""
+4;"303009";"303009";"Ern�hrungswissenschaften";""
+4;"303010";"303010";"Gesundheits�konomie";""
+4;"303011";"303011";"Gesundheitspolitik";""
+4;"303012";"303012";"Gesundheitswissenschaften";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Impfschutz";""
+4;"303015";"303015";"Krankenhaushygiene";""
+4;"303016";"303016";"Krankenhausmanagement";""
+4;"303017";"303017";"Lebensmittelhygiene";""
+4;"303018";"303018";"Lufthygiene";""
+4;"303019";"303019";"Medizinische Ethik";""
+4;"303020";"303020";"Medizinische Mikrobiologie";""
+4;"303021";"303021";"Medizinische Rehabilitation";""
+4;"303022";"303022";"Palliativpflege";""
+4;"303023";"303023";"Parasitologie";""
+4;"303024";"303024";"Pflegewissenschaft";""
+4;"303025";"303025";"Pr�ventivmedizin";""
+4;"303026";"303026";"Public Health";""
+4;"303027";"303027";"Sozialmedizin";""
+4;"303028";"303028";"Sportwissenschaft";""
+4;"303029";"303029";"Suchtforschung";""
+4;"303030";"303030";"Trainingswissenschaft";""
+4;"303031";"303031";"Tropenmedizin";""
+4;"303032";"303032";"Umwelthygiene";""
+4;"303033";"303033";"Umweltmedizin";""
+4;"303034";"303034";"Virologie";""
+4;"303035";"303035";"Wasserhygiene";""
+4;"303036";"303036";"Patientensicherheit";""
+4;"303037";"303037";"Ergotherapie";""
+4;"303038";"303038";"Physiotherapie";""
+4;"303039";"303039";"Radiologietechnologie";""
+4;"303040";"303040";"Versorgungsforschung";""
+2;"304";"304";"Medizinische Biotechnologie";""
+3;"3040";"3040";"Medizinische Biotechnologie";""
+4;"304001";"304001";"Ethik in der Medizinischen Biotechnologie";""
+4;"304002";"304002";"Genetische Diagnostik";""
+4;"304003";"304003";"Gentechnik";""
+4;"304004";"304004";"Gentherapie";""
+4;"304005";"304005";"Medizinische Biotechnologie";""
+4;"304006";"304006";"Pharmakogenomik";""
+4;"304007";"304007";"Tissue Engineering";""
+2;"305";"305";"Andere Humanmedizin, Gesundheitswissenschaften";""
+3;"3051";"3051";"Gerichtsmedizin";""
+4;"305101";"305101";"Blutspurenanalyse";""
+4;"305102";"305102";"DNA-Analyse (Gerichtsmedizin)";""
+4;"305103";"305103";"Forensische Biologie";""
+4;"305104";"305104";"Forensische Chemie";""
+4;"305105";"305105";"Forensische Psychiatrie";""
+4;"305106";"305106";"Forensische Radiologie";""
+4;"305107";"305107";"Forensische Toxikologie";""
+4;"305108";"305108";"Gerichtliche Humanmedizin";""
+4;"305109";"305109";"Forensische Anthropologie";""
+3;"3059";"3059";"Sonstige Humanmedizin, Gesundheitswissenschaften";""
+4;"305901";"305901";"Computerunterst�tzte Diagnose und Therapie";""
+4;"305902";"305902";"Gender Medizin";""
+4;"305903";"305903";"Geschichte der Medizin";""
+4;"305904";"305904";"Medizinische Dokumentation";""
+4;"305905";"305905";"Medizinische Informatik";""
+4;"305906";"305906";"Medizinische Kybernetik";""
+4;"305907";"305907";"Medizinische Statistik";""
+4;"305908";"305908";"Sportmedizin";""
+4;"305909";"305909";"Stressforschung";""
+4;"305910";"305910";"Verkehrsmedizin";""
+1;"4";"4";"AGRARWISSENSCHAFTEN, VETERIN�RMEDIZIN";""
+2;"401";"401";"Land- und Forstwirtschaft, Fischerei";""
+3;"4011";"4011";"Ackerbau, Gartenbau";""
+4;"401101";"401101";"Ackerbau";""
+4;"401102";"401102";"Bew�sserungswirtschaft";""
+4;"401103";"401103";"Gartenbau";""
+4;"401104";"401104";"Gem�sebau";""
+4;"401105";"401105";"Getreidebau";""
+4;"401106";"401106";"Landschaftspflege";""
+4;"401107";"401107";"Landtechnik";""
+4;"401108";"401108";"Obstbau";""
+4;"401109";"401109";"�kologischer Landbau";""
+4;"401110";"401110";"Pflanzenbau";""
+4;"401111";"401111";"Pflanzenern�hrung";""
+4;"401112";"401112";"Pflanzenschutz";""
+4;"401113";"401113";"Pflanzenzucht";""
+4;"401114";"401114";"Saatzucht";""
+4;"401115";"401115";"Samenzucht";""
+4;"401116";"401116";"Spezialkulturen";""
+4;"401117";"401117";"Weinbau";""
+4;"401118";"401118";"Zierpflanzenbau";""
+4;"401119";"401119";"Feldfutterbau";""
+3;"4012";"4012";"Forst- und Holzwirtschaft";""
+4;"401201";"401201";"Forstentomologie";""
+4;"401202";"401202";"Forstpathologie";""
+4;"401203";"401203";"Forstschutz";""
+4;"401204";"401204";"Forsttechnik";""
+4;"401205";"401205";"Forstwirtschaft";""
+4;"401206";"401206";"Holzwirtschaft";""
+4;"401207";"401207";"Waldbau";""
+4;"401208";"401208";"Wald�kologie";""
+4;"401209";"401209";"Waldwachstum";""
+3;"4019";"4019";"Sonstige Land- und Forstwirtschaft, Fischerei";""
+4;"401901";"401901";"Bodenerosion";""
+4;"401902";"401902";"Bodenkunde";""
+4;"401903";"401903";"Fischerei";""
+4;"401904";"401904";"Geschichte der Land- und Forstwirtschaft";""
+4;"401905";"401905";"Nachwachsende Rohstoffe";""
+4;"401906";"401906";"Jagdwirtschaft";""
+2;"402";"402";"Tierzucht, Tierproduktion";""
+3;"4020";"4020";"Tierzucht, Tierproduktion";""
+4;"402001";"402001";"Bienenkunde";""
+4;"402002";"402002";"Fischkunde";""
+4;"402003";"402003";"Fleischhygiene";""
+4;"402004";"402004";"Fleischproduktion";""
+4;"402005";"402005";"Futtermittelanalyse";""
+4;"402006";"402006";"Haustierzucht";""
+4;"402007";"402007";"Imkerei";""
+4;"402008";"402008";"K�nstliche Besamung";""
+4;"402009";"402009";"Lebensmitteluntersuchung";""
+4;"402010";"402010";"Milchhygiene";""
+4;"402011";"402011";"Milchproduktion";""
+4;"402012";"402012";"Nutztierethologie";""
+4;"402013";"402013";"Tierern�hrung";""
+4;"402014";"402014";"Tierhaltung";""
+4;"402015";"402015";"Tierproduktion";""
+4;"402016";"402016";"Tierschutz";""
+4;"402017";"402017";"Tierzucht";""
+4;"402018";"402018";"Versuchstierkunde";""
+2;"403";"403";"Veterin�rmedizin";""
+3;"4030";"4030";"Veterin�rmedizin";""
+4;"403001";"403001";"An�sthesiologie (Veterin�rmedizin)";""
+4;"403002";"403002";"Anatomie (Veterin�rmedizin)";""
+4;"403003";"403003";"Andrologie (Veterin�rmedizin)";""
+4;"403004";"403004";"Augenheilkunde (Veterin�rmedizin)";""
+4;"403005";"403005";"Bakteriologie (Veterin�rmedizin)";""
+4;"403006";"403006";"Bildgebende Diagnostik (Veterin�rmedizin)";""
+4;"403007";"403007";"Chirurgie (Veterin�rmedizin)";""
+4;"403008";"403008";"Diagnostik (Veterin�rmedizin)";""
+4;"403009";"403009";"Embryologie (Veterin�rmedizin)";""
+4;"403010";"403010";"Geburtshilfe (Veterin�rmedizin)";""
+4;"403011";"403011";"Gerichtliche Veterin�rmedizin";""
+4;"403012";"403012";"Geschichte der Veterin�rmedizin";""
+4;"403013";"403013";"Gyn�kologie (Veterin�rmedizin)";""
+4;"403014";"403014";"Histologie (Veterin�rmedizin)";""
+4;"403015";"403015";"Hygiene (Veterin�rmedizin)";""
+4;"403016";"403016";"Immunologie (Veterin�rmedizin)";""
+4;"403017";"403017";"Interne Medizin (Veterin�rmedizin)";""
+4;"403018";"403018";"Labordiagnostik (Veterin�rmedizin)";""
+4;"403019";"403019";"Medizinische Biochemie (Veterin�rmedizin)";""
+4;"403020";"403020";"Medizinische Chemie (Veterin�rmedizin)";""
+4;"403021";"403021";"Neurologie (Veterin�rmedizin)";""
+4;"403022";"403022";"Orthop�die (Veterin�rmedizin)";""
+4;"403023";"403023";"Parasitologie (Veterin�rmedizin)";""
+4;"403024";"403024";"Pathologie (Veterin�rmedizin)";""
+4;"403025";"403025";"Pharmakologie (Veterin�rmedizin)";""
+4;"403026";"403026";"Physiologie (Veterin�rmedizin)";""
+4;"403027";"403027";"Phytotherapie (Veterin�rmedizin)";""
+4;"403028";"403028";"Tierern�hrung";""
+4;"403029";"403029";"Tierseuchenbek�mpfung";""
+4;"403030";"403030";"Toxikologie (Veterin�rmedizin)";""
+4;"403031";"403031";"Virologie (Veterin�rmedizin)";""
+4;"403032";"403032";"Zahnheilkunde (Veterin�rmedizin)";""
+4;"403033";"403033";"Regenerative Medizin (Veterin�rmedizin)";""
+4;"403034";"403034";"Schmerzmedizin (Veterin�rmedizin)";""
+2;"404";"404";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+3;"4040";"4040";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+4;"404001";"404001";"Agrarbiotechnologie";""
+4;"404002";"404002";"Biopharming";""
+4;"404003";"404003";"Ethik in der Agrar- und Lebensmittelbiotechnologie";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"G�rungstechnologie";""
+4;"404006";"404006";"Gentechnik";""
+4;"404007";"404007";"Lebensmittelbiotechnologie";""
+2;"405";"405";"Andere Agrarwissenschaften";""
+3;"4050";"4050";"Andere Agrarwissenschaften";""
+4;"405001";"405001";"Agrar�kologie";""
+4;"405002";"405002";"Agrar�konomie";""
+4;"405003";"405003";"Agrarpolitik";""
+4;"405004";"405004";"Nachhaltige Landwirtschaft";""
+4;"405005";"405005";"Wildtierkunde";""
+4;"405006";"405006";"Agrarsoziologie";""
+4;"405007";"405007";"Wildtiermanagement";""
+1;"5";"5";"SOZIALWISSENSCHAFTEN";""
+2;"501";"501";"Psychologie";""
+3;"5010";"5010";"Psychologie";""
+4;"501001";"501001";"Allgemeine Psychologie";""
+4;"501002";"501002";"Angewandte Psychologie";""
+4;"501003";"501003";"Arbeitspsychologie";""
+4;"501004";"501004";"Differentielle Psychologie";""
+4;"501005";"501005";"Entwicklungspsychologie";""
+4;"501006";"501006";"Experimentalpsychologie";""
+4;"501007";"501007";"Geschichte der Psychologie";""
+4;"501008";"501008";"Gruppendynamik";""
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+4;"501010";"501010";"Klinische Psychologie";""
+4;"501011";"501011";"Kognitionspsychologie";""
+4;"501012";"501012";"Medienpsychologie";""
+4;"501013";"501013";"Motivationspsychologie";""
+4;"501014";"501014";"Neuropsychologie";""
+4;"501015";"501015";"Organisationspsychologie";""
+4;"501016";"501016";"P�dagogische Psychologie";""
+4;"501017";"501017";"Psychoanalyse";""
+4;"501018";"501018";"Psychologische Diagnostik";""
+4;"501019";"501019";"Psychotherapie";""
+4;"501020";"501020";"Rechtspsychologie";""
+4;"501021";"501021";"Sozialpsychologie";""
+4;"501022";"501022";"Suizidologie";""
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+4;"501024";"501024";"Verhaltenstherapie";""
+4;"501025";"501025";"Verkehrspsychologie";""
+4;"501026";"501026";"Wahrnehmungspsychologie";""
+4;"501027";"501027";"Musiktherapie";""
+4;"501028";"501028";"Psychosoziale Notfallversorgung (PSNV)";""
+4;"501029";"501029";"Wirtschaftspsychologie";""
+4;"501030";"501030";"Kognitionswissenschaft";""
+2;"502";"502";"Wirtschaftswissenschaften";""
+3;"5020";"5020";"Wirtschaftswissenschaften";""
+4;"502001";"502001";"Arbeitsmarktpolitik";""
+4;"502002";"502002";"Arbeitsmarkttheorie";""
+4;"502003";"502003";"Au�enhandel";""
+4;"502004";"502004";"Bankbetriebslehre";""
+4;"502005";"502005";"Bildungs�konomie";""
+4;"502006";"502006";"Controlling";""
+4;"502007";"502007";"E-Commerce";""
+4;"502008";"502008";"Entwicklungs�konomie";""
+4;"502009";"502009";"Finanzwirtschaft";""
+4;"502010";"502010";"Finanzwissenschaft";""
+4;"502011";"502011";"Genossenschaftswesen";""
+4;"502012";"502012";"Industriebetriebslehre";""
+4;"502013";"502013";"Industrie�konomik";""
+4;"502014";"502014";"Innovationsforschung";""
+4;"502015";"502015";"Innovationsmanagement";""
+4;"502016";"502016";"KMU-Forschung";""
+4;"502017";"502017";"Logistik";""
+4;"502018";"502018";"Makro�konomie";""
+4;"502019";"502019";"Marketing";""
+4;"502020";"502020";"Marktforschung";""
+4;"502021";"502021";"Mikro�konomie";""
+4;"502022";"502022";"Nachhaltiges Wirtschaften";""
+4;"502023";"502023";"NPO-Forschung";""
+4;"502024";"502024";"�ffentliche Wirtschaft";""
+4;"502025";"502025";"�konometrie";""
+4;"502026";"502026";"Personalmanagement";""
+4;"502027";"502027";"Politische �konomie";""
+4;"502028";"502028";"Produktionswirtschaft";""
+4;"502029";"502029";"Produktmanagement";""
+4;"502030";"502030";"Projektmanagement";""
+4;"502031";"502031";"Public Management";""
+4;"502032";"502032";"Qualit�tsmanagement";""
+4;"502033";"502033";"Rechnungswesen";""
+4;"502034";"502034";"Regulierungs�konomik";""
+4;"502035";"502035";"Revisions- und Treuhandwesen";""
+4;"502036";"502036";"Risikomanagement";""
+4;"502037";"502037";"Standortplanung";""
+4;"502038";"502038";"Steuerlehre";""
+4;"502039";"502039";"Strukturpolitik";""
+4;"502040";"502040";"Tourismusforschung";""
+4;"502041";"502041";"Umweltmanagement";""
+4;"502042";"502042";"Umwelt�konomie";""
+4;"502043";"502043";"Unternehmensberatung";""
+4;"502044";"502044";"Unternehmensf�hrung";""
+4;"502045";"502045";"Verhaltens�konomie";""
+4;"502046";"502046";"Volkswirtschaftspolitik";""
+4;"502047";"502047";"Volkswirtschaftstheorie";""
+4;"502048";"502048";"Wirtschaftsethik";""
+4;"502049";"502049";"Wirtschaftsgeschichte";""
+4;"502050";"502050";"Wirtschaftsinformatik";""
+4;"502051";"502051";"Wirtschaftsstatistik";""
+4;"502052";"502052";"Betriebswirtschaftslehre";""
+4;"502053";"502053";"Volkswirtschaftslehre";""
+4;"502054";"502054";"Entrepreneurship";""
+4;"502055";"502055";"Verteilungs�konomie";""
+4;"502056";"502056";"Wirtschaftspr�fung";""
+2;"503";"503";"Erziehungswissenschaften";""
+3;"5030";"5030";"Erziehungswissenschaften";""
+4;"503001";"503001";"Allgemeine P�dagogik";""
+4;"503002";"503002";"Angewandte P�dagogik";""
+4;"503003";"503003";"Begabungsforschung";""
+4;"503004";"503004";"Berufskunde";""
+4;"503005";"503005";"Berufsp�dagogik";""
+4;"503006";"503006";"Bildungsforschung";""
+4;"503007";"503007";"Didaktik";""
+4;"503008";"503008";"E-Learning";""
+4;"503009";"503009";"Erwachsenenbildung";""
+4;"503010";"503010";"Fachdidaktik Agrarwissenschaften, Veterin�rmedizin";""
+4;"503011";"503011";"Fachdidaktik Geisteswissenschaften";""
+4;"503012";"503012";"Fachdidaktik Humanmedizin, Gesundheitswissenschaften";""
+4;"503013";"503013";"Fachdidaktik Naturwissenschaften";""
+4;"503014";"503014";"Fachdidaktik Sozialwissenschaften";""
+4;"503015";"503015";"Fachdidaktik Technische Wissenschaften";""
+4;"503016";"503016";"Freizeitp�dagogik";""
+4;"503017";"503017";"Geschichte der P�dagogik";""
+4;"503018";"503018";"Hochschuldidaktik";""
+4;"503019";"503019";"Kunstp�dagogik";""
+4;"503020";"503020";"Medienp�dagogik";""
+4;"503021";"503021";"Museumsp�dagogik";""
+4;"503022";"503022";"Musikp�dagogik";""
+4;"503023";"503023";"Qualifikationsforschung";""
+4;"503024";"503024";"Religionsp�dagogik";""
+4;"503025";"503025";"Schulp�dagogik";""
+4;"503026";"503026";"Sonder- und Heilp�dagogik";""
+4;"503027";"503027";"Sozialp�dagogik";""
+4;"503028";"503028";"Sportp�dagogik";""
+4;"503029";"503029";"Sprachlehrforschung";""
+4;"503030";"503030";"Wirtschaftsp�dagogik";""
+4;"503031";"503031";"Elementarp�dagogik";""
+4;"503032";"503032";"Lehr- und Lernforschung";""
+4;"503033";"503033";"Politische Bildung";""
+4;"503034";"503034";"Inklusive P�dagogik";""
+2;"504";"504";"Soziologie";""
+3;"5040";"5040";"Soziologie";""
+4;"504001";"504001";"Allgemeine Soziologie";""
+4;"504002";"504002";"Arbeitssoziologie";""
+4;"504003";"504003";"Armut und soziale Ausgrenzung";""
+4;"504004";"504004";"Bev�lkerungsstatistik";""
+4;"504005";"504005";"Bildungssoziologie";""
+4;"504006";"504006";"Demographie";""
+4;"504007";"504007";"Empirische Sozialforschung";""
+4;"504008";"504008";"Ethnographie";""
+4;"504009";"504009";"Ethnologie";""
+4;"504010";"504010";"Europ�ische Ethnologie";""
+4;"504011";"504011";"Familienforschung";""
+4;"504012";"504012";"Freizeitforschung";""
+4;"504013";"504013";"Gender Mainstreaming";""
+4;"504014";"504014";"Gender Studies";""
+4;"504015";"504015";"Geschichte der Soziologie";""
+4;"504016";"504016";"Jugendsoziologie";""
+4;"504017";"504017";"Kulturanthropologie";""
+4;"504018";"504018";"Kultursoziologie";""
+4;"504019";"504019";"Mediensoziologie";""
+4;"504020";"504020";"Medizinsoziologie";""
+4;"504021";"504021";"Migrationsforschung";""
+4;"504022";"504022";"Musiksoziologie";""
+4;"504023";"504023";"Politische Soziologie";""
+4;"504024";"504024";"Rechtssoziologie";""
+4;"504025";"504025";"Religionssoziologie";""
+4;"504026";"504026";"Sozialgeschichte";""
+4;"504027";"504027";"Spezielle Soziologie";""
+4;"504028";"504028";"Techniksoziologie";""
+4;"504029";"504029";"Umweltsoziologie";""
+4;"504030";"504030";"Wirtschaftssoziologie";""
+4;"504031";"504031";"Diversit�tsforschung";""
+2;"505";"505";"Rechtswissenschaften";""
+3;"5050";"5050";"Rechtswissenschaften";""
+4;"505001";"505001";"Arbeitsrecht";""
+4;"505002";"505002";"Datenschutz";""
+4;"505003";"505003";"Europarecht";""
+4;"505004";"505004";"Finanzrecht";""
+4;"505005";"505005";"Geistiges Eigentum";""
+4;"505006";"505006";"Grundrechte";""
+4;"505007";"505007";"Insolvenzrecht";""
+4;"505008";"505008";"Kriminologie";""
+4;"505009";"505009";"Mediation";""
+4;"505010";"505010";"Medizinrecht";""
+4;"505011";"505011";"Menschenrechte";""
+4;"505012";"505012";"�ffentliches Recht";""
+4;"505013";"505013";"Privatrecht";""
+4;"505014";"505014";"Rechtsgeschichte";""
+4;"505015";"505015";"Rechtsinformatik";""
+4;"505016";"505016";"Rechtstheorie";""
+4;"505017";"505017";"Rechtsvergleichung";""
+4;"505018";"505018";"Religionsrecht";""
+4;"505019";"505019";"R�misches Recht";""
+4;"505020";"505020";"Sozialrecht";""
+4;"505021";"505021";"Staatsrecht";""
+4;"505022";"505022";"Steuerrecht";""
+4;"505023";"505023";"Strafprozessrecht";""
+4;"505024";"505024";"Strafrecht";""
+4;"505025";"505025";"Unternehmensrecht";""
+4;"505026";"505026";"Verfassungsrecht";""
+4;"505027";"505027";"Verwaltungslehre";""
+4;"505028";"505028";"Verwaltungsrecht";""
+4;"505029";"505029";"V�lkerrecht";""
+4;"505030";"505030";"Wirtschaftsrecht";""
+4;"505031";"505031";"Zivilrecht";""
+4;"505032";"505032";"Zivilverfahrensrecht";""
+4;"505033";"505033";"Antidiskriminierungsrecht";""
+4;"505034";"505034";"Bank- und Kapitalmarktrecht";""
+4;"505035";"505035";"Baurecht";""
+4;"505036";"505036";"Energierecht";""
+4;"505037";"505037";"Familien- und Erbrecht";""
+4;"505038";"505038";"Marken- und Patentrecht";""
+4;"505039";"505039";"Medienrecht";""
+4;"505040";"505040";"Sportrecht";""
+4;"505041";"505041";"Umweltrecht";""
+4;"505042";"505042";"Verkehrsrecht";""
+4;"505043";"505043";"Wettbewerbs- und Kartellrecht";""
+4;"505044";"505044";"Gesellschaftsrecht";""
+4;"505045";"505045";"Hochschulrecht";""
+4;"505046";"505046";"Luft- und Weltraumrecht";""
+4;"505047";"505047";"Allgemeines Verfahrensrecht";""
+4;"505048";"505048";"Sachenrecht";""
+2;"506";"506";"Politikwissenschaften";""
+3;"5060";"5060";"Politikwissenschaften";""
+4;"506001";"506001";"Allgemeine Staatslehre";""
+4;"506002";"506002";"E-Government";""
+4;"506003";"506003";"Entwicklungspolitik";""
+4;"506004";"506004";"Europ�ische Integration";""
+4;"506005";"506005";"Forschungspolitik";""
+4;"506006";"506006";"Friedensforschung";""
+4;"506007";"506007";"Internationale Beziehungen";""
+4;"506008";"506008";"Konfliktforschung";""
+4;"506009";"506009";"Organisationstheorie";""
+4;"506010";"506010";"Politikfeldanalyse";""
+4;"506011";"506011";"Politische Geschichte";""
+4;"506012";"506012";"Politische Systeme";""
+4;"506013";"506013";"Politische Theorie";""
+4;"506014";"506014";"Vergleichende Politikwissenschaft";""
+4;"506015";"506015";"Asylpolitik";""
+4;"506016";"506016";"Migrationspolitik";""
+4;"506017";"506017";"Wissenschafts- und Technologiepolitik";""
+2;"507";"507";"Humangeographie, Regionale Geographie, Raumplanung";""
+3;"5070";"5070";"Humangeographie, Regionale Geographie, Raumplanung";""
+4;"507001";"507001";"Angewandte Geographie";""
+4;"507002";"507002";"Bev�lkerungsgeographie";""
+4;"507003";"507003";"Geoinformatik";""
+4;"507004";"507004";"Geschichte der Geographie";""
+4;"507005";"507005";"Kulturgeographie";""
+4;"507006";"507006";"Kulturlandschaftsforschung";""
+4;"507007";"507007";"Landesplanung";""
+4;"507008";"507008";"Landschaftsplanung";""
+4;"507009";"507009";"�rtliche Raumplanung";""
+4;"507010";"507010";"Politische Geographie";""
+4;"507011";"507011";"Raumforschung";""
+4;"507012";"507012";"Raumordnung";""
+4;"507013";"507013";"Regionale Geographie";""
+4;"507014";"507014";"Regionalentwicklung";""
+4;"507015";"507015";"Regionalforschung";""
+4;"507016";"507016";"Regional�konomie";""
+4;"507017";"507017";"Sozialgeographie";""
+4;"507018";"507018";"Stadt-, Dorferneuerung";""
+4;"507019";"507019";"Stadtentwicklungsplanung";""
+4;"507020";"507020";"Stadtforschung";""
+4;"507021";"507021";"Stadtgeschichte";""
+4;"507022";"507022";"Stadtplanung";""
+4;"507023";"507023";"Standortentwicklung";""
+4;"507024";"507024";"Umweltpolitik";""
+4;"507025";"507025";"Verkehrsplanung";""
+4;"507026";"507026";"Wirtschaftsgeographie";""
+4;"507027";"507027";"Nachhaltige Stadtentwicklung";""
+2;"508";"508";"Medien- und Kommunikationswissenschaften";""
+3;"5080";"5080";"Medien- und Kommunikationswissenschaften";""
+4;"508001";"508001";"Archivwesen";""
+4;"508002";"508002";"Audiovisuelle Medien";""
+4;"508003";"508003";"Bibliothekswissenschaft";""
+4;"508004";"508004";"Interkulturelle Kommunikation";""
+4;"508005";"508005";"Journalistik";""
+4;"508006";"508006";"Kommunikationstheorie";""
+4;"508007";"508007";"Kommunikationswissenschaft";""
+4;"508008";"508008";"Medienanalyse";""
+4;"508009";"508009";"Medienforschung";""
+4;"508010";"508010";"Mediengeschichte";""
+4;"508011";"508011";"Medientheorie";""
+4;"508012";"508012";"Medienwirkungsforschung";""
+4;"508013";"508013";"Public Relations";""
+4;"508014";"508014";"Publizistik";""
+4;"508015";"508015";"Wirtschaftskommunikation";""
+4;"508016";"508016";"Wissenschaftskommunikation";""
+4;"508017";"508017";"Organisationskommunikation";""
+4;"508018";"508018";"Rezeptionsforschung";""
+2;"509";"509";"Andere Sozialwissenschaften";""
+3;"5090";"5090";"Andere Sozialwissenschaften";""
+4;"509001";"509001";"Aktionsforschung";""
+4;"509002";"509002";"Disability Studies";""
+4;"509003";"509003";"Entwicklungszusammenarbeit";""
+4;"509004";"509004";"Evaluationsforschung";""
+4;"509005";"509005";"Gerontologie";""
+4;"509006";"509006";"Geschichte der Sozialwissenschaften";""
+4;"509007";"509007";"Graffiti-Forschung";""
+4;"509008";"509008";"Kinderforschung, Jugendforschung";""
+4;"509009";"509009";"Milit�rstrategische Forschung";""
+4;"509010";"509010";"Minderheitenforschung";""
+4;"509011";"509011";"Organisationsentwicklung";""
+4;"509012";"509012";"Sozialpolitik";""
+4;"509013";"509013";"Sozialstatistik";""
+4;"509014";"509014";"Spielforschung";""
+4;"509015";"509015";"Unfallforschung";""
+4;"509016";"509016";"Verkehrswirtschaft";""
+4;"509017";"509017";"Wissenschaftsforschung";""
+4;"509018";"509018";"Wissensmanagement";""
+4;"509019";"509019";"Zukunftsforschung";""
+4;"509020";"509020";"Milit�rethik";""
+4;"509021";"509021";"Milit�rwissenschaft";""
+4;"509022";"509022";"Polemologie";""
+4;"509023";"509023";"Entwicklungsforschung";""
+4;"509024";"509024";"Sicherheitsforschung";""
+4;"509025";"509025";"Technikforschung";""
+1;"6";"6";"GEISTESWISSENSCHAFTEN";""
+2;"601";"601";"Geschichte, Arch�ologie";""
+3;"6010";"6010";"Geschichte, Arch�ologie";""
+4;"601001";"601001";"Alte Geschichte";""
+4;"601002";"601002";"Altertumskunde";""
+4;"601003";"601003";"Arch�ologie";""
+4;"601004";"601004";"Epigraphik";""
+4;"601005";"601005";"Europ�ische Geschichte";""
+4;"601006";"601006";"Fr�hgeschichte";""
+4;"601007";"601007";"Geschichtliche Landeskunde";""
+4;"601008";"601008";"Geschichtswissenschaft";""
+4;"601009";"601009";"Historische Hilfswissenschaften";""
+4;"601010";"601010";"Klassische Arch�ologie";""
+4;"601011";"601011";"Kodikologie";""
+4;"601012";"601012";"Mittelalterliche Geschichte";""
+4;"601013";"601013";"Museologie";""
+4;"601014";"601014";"Neuere Geschichte";""
+4;"601015";"601015";"Numismatik";""
+4;"601016";"601016";"�sterreichische Geschichte";""
+4;"601017";"601017";"Pal�ographie";""
+4;"601018";"601018";"Papyrologie";""
+4;"601019";"601019";"Quellenkunde";""
+4;"601020";"601020";"Regionalgeschichte";""
+4;"601021";"601021";"Urgeschichte";""
+4;"601022";"601022";"Zeitgeschichte";""
+4;"601023";"601023";"Globalgeschichte";""
+4;"601024";"601024";"Arch�ologische Prospektion";""
+4;"601025";"601025";"Experimentelle Arch�ologie";""
+4;"601026";"601026";"Virtuelle Arch�ologie";""
+4;"601027";"601027";"W�stungsforschung";""
+2;"602";"602";"Sprach- und Literaturwissenschaften";""
+3;"6020";"6020";"Sprach- und Literaturwissenschaften";""
+4;"602001";"602001";"Afrikanistik";""
+4;"602002";"602002";"�gyptologie";""
+4;"602003";"602003";"Allgemeine Literaturwissenschaft";""
+4;"602004";"602004";"Allgemeine Sprachwissenschaft";""
+4;"602005";"602005";"Amerikanistik";""
+4;"602006";"602006";"Angewandte Literaturwissenschaft";""
+4;"602007";"602007";"Angewandte Sprachwissenschaft";""
+4;"602008";"602008";"Anglistik";""
+4;"602009";"602009";"Arabistik";""
+4;"602010";"602010";"Byzantinistik";""
+4;"602011";"602011";"Computerlinguistik";""
+4;"602012";"602012";"Finno-Ugristik";""
+4;"602013";"602013";"Geb�rdensprachforschung";""
+4;"602014";"602014";"Germanistik";""
+4;"602015";"602015";"Gr�zistik";""
+4;"602016";"602016";"Hermeneutik";""
+4;"602017";"602017";"Indogermanistik";""
+4;"602018";"602018";"Indologie";""
+4;"602019";"602019";"Iranistik";""
+4;"602020";"602020";"Japanologie";""
+4;"602021";"602021";"Jiddistik";""
+4;"602022";"602022";"Judaistik";""
+4;"602023";"602023";"Keltologie";""
+4;"602024";"602024";"Klassische Philologie";""
+4;"602025";"602025";"Klinische Linguistik";""
+4;"602026";"602026";"Kognitive Linguistik";""
+4;"602027";"602027";"Koptologie";""
+4;"602028";"602028";"Koreanistik";""
+4;"602029";"602029";"Latinistik";""
+4;"602030";"602030";"Lexikographie";""
+4;"602031";"602031";"Literaturgeschichte";""
+4;"602032";"602032";"Mundartforschung";""
+4;"602033";"602033";"Namenforschung";""
+4;"602034";"602034";"Nederlandistik";""
+4;"602035";"602035";"Neogr�zistik";""
+4;"602036";"602036";"Neurolinguistik";""
+4;"602037";"602037";"Orientalistik";""
+4;"602038";"602038";"Phonetik";""
+4;"602039";"602039";"Phonologie";""
+4;"602040";"602040";"Psycholinguistik";""
+4;"602041";"602041";"Rhetorik";""
+4;"602042";"602042";"Romanistik";""
+4;"602043";"602043";"Semiotik";""
+4;"602044";"602044";"Semitistik";""
+4;"602045";"602045";"Sinologie";""
+4;"602046";"602046";"Skandinavistik";""
+4;"602047";"602047";"Slawistik";""
+4;"602048";"602048";"Soziolinguistik";""
+4;"602049";"602049";"Terminologielehre";""
+4;"602050";"602050";"Tibetologie";""
+4;"602051";"602051";"Translationswissenschaft";""
+4;"602052";"602052";"Turkologie";""
+4;"602053";"602053";"Vergleichende Literaturwissenschaft";""
+4;"602054";"602054";"Vergleichende Sprachwissenschaft";""
+4;"602055";"602055";"Patholinguistik";""
+4;"602056";"602056";"Altorientalistik";""
+4;"602057";"602057";"Historische Linguistik";""
+4;"602058";"602058";"Korpuslinguistik";""
+2;"603";"603";"Philosophie, Ethik, Religion";""
+3;"6031";"6031";"Philosophie, Ethik";""
+4;"603101";"603101";"�sthetik";""
+4;"603102";"603102";"Erkenntnistheorie";""
+4;"603103";"603103";"Ethik";""
+4;"603104";"603104";"Geschichte der Philosophie";""
+4;"603105";"603105";"Geschichtsphilosophie";""
+4;"603106";"603106";"Hermeneutik";""
+4;"603107";"603107";"Ideologiekritik";""
+4;"603108";"603108";"Kulturphilosophie";""
+4;"603109";"603109";"Logik";""
+4;"603110";"603110";"Metaphysik";""
+4;"603111";"603111";"Naturphilosophie";""
+4;"603112";"603112";"Ph�nomenologie";""
+4;"603113";"603113";"Philosophie";""
+4;"603114";"603114";"Philosophie des Geistes";""
+4;"603115";"603115";"Philosophische Anthropologie";""
+4;"603116";"603116";"Politische Philosophie";""
+4;"603117";"603117";"Rechtsphilosophie";""
+4;"603118";"603118";"Religionsphilosophie";""
+4;"603119";"603119";"Sozialphilosophie";""
+4;"603120";"603120";"Sprachphilosophie";""
+4;"603121";"603121";"Staatsphilosophie";""
+4;"603122";"603122";"Technikphilosophie";""
+4;"603123";"603123";"Wissenschaftsgeschichte";""
+4;"603124";"603124";"Wissenschaftstheorie";""
+4;"603125";"603125";"Metaethik";""
+4;"603126";"603126";"Interkulturelle Philosophie";""
+3;"6032";"6032";"Theologie";""
+4;"603201";"603201";"Alttestamentliche Bibelwissenschaft";""
+4;"603202";"603202";"Christliche Arch�ologie";""
+4;"603203";"603203";"Christliche Philosophie";""
+4;"603204";"603204";"Christliche Soziallehre";""
+4;"603205";"603205";"Dogmatische Theologie";""
+4;"603206";"603206";"Fundamentaltheologie";""
+4;"603207";"603207";"Homiletik";""
+4;"603208";"603208";"Interkulturelle Theologie";""
+4;"603209";"603209";"Kanonisches Recht";""
+4;"603210";"603210";"Katechetik";""
+4;"603211";"603211";"Kirchengeschichte";""
+4;"603212";"603212";"Liturgiewissenschaft";""
+4;"603213";"603213";"Moraltheologie";""
+4;"603214";"603214";"Neutestamentliche Bibelwissenschaft";""
+4;"603215";"603215";"�kumenische Theologie";""
+4;"603216";"603216";"Pastoralpsychologie";""
+4;"603217";"603217";"Pastoraltheologie";""
+4;"603218";"603218";"Patrologie";""
+4;"603219";"603219";"Praktische Theologie";""
+4;"603220";"603220";"Seelsorge";""
+4;"603221";"603221";"Spirituelle Theologie";""
+4;"603222";"603222";"Systematische Theologie";""
+4;"603223";"603223";"Theologische Anthropologie";""
+3;"6039";"6039";"Sonstige Religion, Religionswissenschaften";""
+4;"603901";"603901";"Atheismus";""
+4;"603902";"603902";"Buddhismus";""
+4;"603903";"603903";"Exegese";""
+4;"603904";"603904";"Hinduismus";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"J�dische Religion";""
+4;"603907";"603907";"Kirchenrecht";""
+4;"603908";"603908";"Religionsgeschichte";""
+4;"603909";"603909";"Religionswissenschaft";""
+4;"603910";"603910";"Religionspsychologie";""
+2;"604";"604";"Kunstwissenschaften";""
+3;"6040";"6040";"Kunstwissenschaften";""
+4;"604001";"604001";"Angewandte Kunst";""
+4;"604002";"604002";"Architektonische Gestaltung";""
+4;"604003";"604003";"Auff�hrungspraxis";""
+4;"604004";"604004";"Bildende Kunst";""
+4;"604005";"604005";"B�hnengestaltung";""
+4;"604006";"604006";"Darstellende Kunst";""
+4;"604007";"604007";"Denkmalpflege";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusikologie";""
+4;"604010";"604010";"Filmgestaltung";""
+4;"604011";"604011";"Filmwissenschaft";""
+4;"604012";"604012";"Fotografie";""
+4;"604013";"604013";"Gartenkunst";""
+4;"604014";"604014";"Gesang";""
+4;"604015";"604015";"Industrial Design";""
+4;"604016";"604016";"Jazzforschung";""
+4;"604017";"604017";"Kirchenmusik";""
+4;"604018";"604018";"Konservierung und Restaurierung";""
+4;"604019";"604019";"Kunstgeschichte";""
+4;"604020";"604020";"Kunsttheorie";""
+4;"604021";"604021";"Medienkunst";""
+4;"604022";"604022";"Musikgeschichte";""
+4;"604023";"604023";"Musiktheorie";""
+4;"604024";"604024";"Musikwissenschaft";""
+4;"604025";"604025";"Popularmusikforschung";""
+4;"604026";"604026";"Raumkunst";""
+4;"604027";"604027";"Szenographie";""
+4;"604028";"604028";"Tanzwissenschaft";""
+4;"604029";"604029";"Theaterwissenschaft";""
+4;"604030";"604030";"Volksmusikforschung";""
+4;"604031";"604031";"Historische Technologie";""
+4;"604032";"604032";"Instrumentalstudien";""
+4;"604033";"604033";"Komposition";""
+4;"604034";"604034";"Musiktheater";""
+4;"604035";"604035";"Orgelforschung";""
+4;"604036";"604036";"Provenienzforschung";""
+4;"604037";"604037";"Sammlungspflege";""
+2;"605";"605";"Andere Geisteswissenschaften";""
+3;"6050";"6050";"Andere Geisteswissenschaften";""
+4;"605001";"605001";"Geschichte der Geisteswissenschaften";""
+4;"605002";"605002";"Kulturgeschichte";""
+4;"605003";"605003";"Kultur�konomie";""
+4;"605004";"605004";"Kulturwissenschaft";""
+4;"605005";"605005";"Publikumsforschung";""
+4;"605006";"605006";"Kulturmanagement";""
+4;"605007";"605007";"Digital Humanities";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_DE_CTI_20211111_154218.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_DE_CTI_20211111_154218.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1f206f052164cfe99678f639bd9216d0436f05b7
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_DE_CTI_20211111_154218.txt
@@ -0,0 +1,1475 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURWISSENSCHAFTEN";""
+2;"101";"101";"Mathematik";""
+3;"1010";"1010";"Mathematik";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Angewandte Geometrie";""
+4;"101004";"101004";"Biomathematik";""
+4;"101005";"101005";"Computeralgebra";""
+4;"101006";"101006";"Differentialgeometrie";""
+4;"101007";"101007";"Finanzmathematik";""
+4;"101008";"101008";"Funktionentheorie";""
+4;"101009";"101009";"Geometrie";""
+4;"101010";"101010";"Geschichte der Mathematik";""
+4;"101011";"101011";"Graphentheorie";""
+4;"101012";"101012";"Kombinatorik";""
+4;"101013";"101013";"Mathematische Logik";""
+4;"101014";"101014";"Numerische Mathematik";""
+4;"101015";"101015";"Operations Research";""
+4;"101016";"101016";"Optimierung";""
+4;"101017";"101017";"Spieltheorie";""
+4;"101018";"101018";"Statistik";""
+4;"101019";"101019";"Stochastik";""
+4;"101020";"101020";"Technische Mathematik";""
+4;"101021";"101021";"Theoretische Kybernetik";""
+4;"101022";"101022";"Topologie";""
+4;"101023";"101023";"Versicherungsmathematik";""
+4;"101024";"101024";"Wahrscheinlichkeitstheorie";""
+4;"101025";"101025";"Zahlentheorie";""
+4;"101026";"101026";"Zeitreihenanalyse";""
+4;"101027";"101027";"Dynamische Systeme";""
+4;"101028";"101028";"Mathematische Modellierung";""
+4;"101029";"101029";"Mathematische Statistik";""
+4;"101030";"101030";"Zuverl�ssigkeitstheorie";""
+4;"101031";"101031";"Approximationstheorie";""
+4;"101032";"101032";"Funktionalanalysis";""
+2;"102";"102";"Informatik";""
+3;"1020";"1020";"Informatik";""
+4;"102001";"102001";"Artificial Intelligence";""
+4;"102002";"102002";"Augmented Reality";""
+4;"102003";"102003";"Bildverarbeitung";""
+4;"102004";"102004";"Bioinformatik";""
+4;"102005";"102005";"Computer Aided Design (CAD)";""
+4;"102006";"102006";"Computer Supported Cooperative Work (CSCW)";""
+4;"102007";"102007";"Computeranimation";""
+4;"102008";"102008";"Computergraphik";""
+4;"102009";"102009";"Computersimulation";""
+4;"102010";"102010";"Datenbanksysteme";""
+4;"102011";"102011";"Formale Sprachen";""
+4;"102012";"102012";"Geschichte der Informatik";""
+4;"102013";"102013";"Human-Computer Interaction";""
+4;"102014";"102014";"Informationsdesign";""
+4;"102015";"102015";"Informationssysteme";""
+4;"102016";"102016";"IT-Sicherheit";""
+4;"102017";"102017";"Kryptologie";""
+4;"102018";"102018";"K�nstliche Neuronale Netze";""
+4;"102019";"102019";"Machine Learning";""
+4;"102020";"102020";"Medizinische Informatik";""
+4;"102021";"102021";"Pervasive Computing";""
+4;"102022";"102022";"Softwareentwicklung";""
+4;"102023";"102023";"Supercomputing";""
+4;"102024";"102024";"Usability Research";""
+4;"102025";"102025";"Verteilte Systeme";""
+4;"102026";"102026";"Virtual Reality";""
+4;"102027";"102027";"Web Engineering";""
+4;"102028";"102028";"Knowledge Engineering";""
+4;"102029";"102029";"Praktische Informatik";""
+4;"102030";"102030";"Semantische Technologien";""
+4;"102031";"102031";"Theoretische Informatik";""
+4;"102032";"102032";"Computational Intelligence";""
+4;"102033";"102033";"Data Mining";""
+4;"102034";"102034";"Cyber-Physical Systems";""
+4;"102035";"102035";"Data Science";""
+4;"102036";"102036";"Digitale Barrierefreiheit";""
+4;"102037";"102037";"Visualisierung";""
+2;"103";"103";"Physik, Astronomie";""
+3;"1030";"1030";"Physik, Astronomie";""
+4;"103001";"103001";"Aerodynamik";""
+4;"103002";"103002";"Akustik";""
+4;"103003";"103003";"Astronomie";""
+4;"103004";"103004";"Astrophysik";""
+4;"103005";"103005";"Atomphysik";""
+4;"103006";"103006";"Chemische Physik";""
+4;"103007";"103007";"Dosimetrie";""
+4;"103008";"103008";"Experimentalphysik";""
+4;"103009";"103009";"Festk�rperphysik";""
+4;"103010";"103010";"Geschichte der Physik";""
+4;"103011";"103011";"Halbleiterphysik";""
+4;"103012";"103012";"Hochenergiephysik";""
+4;"103013";"103013";"Ionenphysik";""
+4;"103014";"103014";"Kernphysik";""
+4;"103015";"103015";"Kondensierte Materie";""
+4;"103016";"103016";"Laserphysik";""
+4;"103017";"103017";"Magnetismus";""
+4;"103018";"103018";"Materialphysik";""
+4;"103019";"103019";"Mathematische Physik";""
+4;"103020";"103020";"Oberfl�chenphysik";""
+4;"103021";"103021";"Optik";""
+4;"103022";"103022";"Plasmaphysik";""
+4;"103023";"103023";"Polymerphysik";""
+4;"103024";"103024";"Quantenfeldtheorie";""
+4;"103025";"103025";"Quantenmechanik";""
+4;"103026";"103026";"Quantenoptik";""
+4;"103027";"103027";"Reaktorphysik";""
+4;"103028";"103028";"Relativit�tstheorie";""
+4;"103029";"103029";"Statistische Physik";""
+4;"103030";"103030";"Strahlenphysik";""
+4;"103031";"103031";"Strahlenschutz";""
+4;"103032";"103032";"Str�mungslehre";""
+4;"103033";"103033";"Supraleitung";""
+4;"103034";"103034";"Teilchenphysik";""
+4;"103035";"103035";"Theoretische Mechanik";""
+4;"103036";"103036";"Theoretische Physik";""
+4;"103037";"103037";"Umweltphysik";""
+4;"103038";"103038";"Weltraumforschung";""
+4;"103039";"103039";"Aerosolphysik";""
+4;"103040";"103040";"Photonik";""
+4;"103041";"103041";"Astroteilchenphysik";""
+4;"103042";"103042";"Elektronenmikroskopie";""
+4;"103043";"103043";"Computational Physics";""
+4;"103044";"103044";"Kosmologie";""
+2;"104";"104";"Chemie";""
+3;"1040";"1040";"Chemie";""
+4;"104001";"104001";"Allgemeine Chemie";""
+4;"104002";"104002";"Analytische Chemie";""
+4;"104003";"104003";"Anorganische Chemie";""
+4;"104004";"104004";"Chemische Biologie";""
+4;"104005";"104005";"Elektrochemie";""
+4;"104006";"104006";"Festk�rperchemie";""
+4;"104007";"104007";"Geschichte der Chemie";""
+4;"104008";"104008";"Katalyse";""
+4;"104009";"104009";"Lebensmittelchemie";""
+4;"104010";"104010";"Makromolekulare Chemie";""
+4;"104011";"104011";"Materialchemie";""
+4;"104012";"104012";"Mikroanalyse";""
+4;"104013";"104013";"Naturstoffchemie";""
+4;"104014";"104014";"Oberfl�chenchemie";""
+4;"104015";"104015";"Organische Chemie";""
+4;"104016";"104016";"Photochemie";""
+4;"104017";"104017";"Physikalische Chemie";""
+4;"104018";"104018";"Polymerchemie";""
+4;"104019";"104019";"Polymerwissenschaften";""
+4;"104020";"104020";"Radiochemie";""
+4;"104021";"104021";"Strukturchemie";""
+4;"104022";"104022";"Theoretische Chemie";""
+4;"104023";"104023";"Umweltchemie";""
+4;"104024";"104024";"R�ntgenstrukturanalyse";""
+4;"104025";"104025";"Single-Molecule Chemistry";""
+4;"104026";"104026";"Spektroskopie";""
+4;"104027";"104027";"Computational Chemistry";""
+2;"105";"105";"Geowissenschaften";""
+3;"1051";"1051";"Geologie, Mineralogie";""
+4;"105101";"105101";"Allgemeine Geologie";""
+4;"105102";"105102";"Allgemeine Geophysik";""
+4;"105103";"105103";"Erd�lgeologie";""
+4;"105104";"105104";"Erosion";""
+4;"105105";"105105";"Geochemie";""
+4;"105106";"105106";"Geodynamik";""
+4;"105107";"105107";"Geoelektrik";""
+4;"105108";"105108";"Geostatistik";""
+4;"105109";"105109";"Geothermik";""
+4;"105110";"105110";"Geschichte der Geologie";""
+4;"105111";"105111";"Gravimetrie";""
+4;"105112";"105112";"Historische Geologie";""
+4;"105113";"105113";"Kristallographie";""
+4;"105114";"105114";"Kulturgeologie";""
+4;"105115";"105115";"Magnetik";""
+4;"105116";"105116";"Mineralogie";""
+4;"105117";"105117";"Pal�obotanik";""
+4;"105118";"105118";"Pal�ontologie";""
+4;"105119";"105119";"Petrographie";""
+4;"105120";"105120";"Petrologie";""
+4;"105121";"105121";"Sedimentologie";""
+4;"105122";"105122";"Seismik";""
+4;"105123";"105123";"Stratigraphie";""
+4;"105124";"105124";"Tektonik";""
+4;"105125";"105125";"Petrophysik";""
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+4;"105127";"105127";"Geochronologie";""
+4;"105128";"105128";"Geomikrobiologie";""
+3;"1052";"1052";"Meteorologie, Klimatologie";""
+4;"105201";"105201";"Aeronomie";""
+4;"105202";"105202";"Agrarmeteorologie";""
+4;"105203";"105203";"Bioklimatologie";""
+4;"105204";"105204";"Klimatologie";""
+4;"105205";"105205";"Klimawandel";""
+4;"105206";"105206";"Meteorologie";""
+4;"105207";"105207";"Gebirgsmeteorologie";""
+4;"105208";"105208";"Atmosph�renchemie";""
+3;"1053";"1053";"Hydrologie";""
+4;"105301";"105301";"Gew�sserschutz";""
+4;"105302";"105302";"Hydrochemie";""
+4;"105303";"105303";"Hydrogeologie";""
+4;"105304";"105304";"Hydrologie";""
+4;"105305";"105305";"Hydrometrie";""
+4;"105306";"105306";"Ozeanographie";""
+4;"105307";"105307";"Wasserg�te";""
+4;"105308";"105308";"Wasserressourcen";""
+3;"1054";"1054";"Physische Geographie";""
+4;"105401";"105401";"Biogeographie";""
+4;"105402";"105402";"Bodengeographie";""
+4;"105403";"105403";"Geoinformatik";""
+4;"105404";"105404";"Geomorphologie";""
+4;"105405";"105405";"Geo�kologie";""
+4;"105406";"105406";"Geschichte der Geographie";""
+4;"105407";"105407";"Kartographie";""
+4;"105408";"105408";"Physische Geographie";""
+4;"105409";"105409";"Topographie";""
+3;"1059";"1059";"Sonstige und interdisziplin�re Geowissenschaften";""
+4;"105901";"105901";"Glaziologie";""
+4;"105902";"105902";"Naturgefahren";""
+4;"105903";"105903";"Spel�ologie";""
+4;"105904";"105904";"Umweltforschung";""
+4;"105905";"105905";"Umweltschutz";""
+4;"105906";"105906";"Umweltgeowissenschaften";""
+4;"105907";"105907";"Polarforschung";""
+2;"106";"106";"Biologie";""
+3;"1060";"1060";"Biologie";""
+4;"106001";"106001";"Allgemeine Biologie";""
+4;"106002";"106002";"Biochemie";""
+4;"106003";"106003";"Biodiversit�tsforschung";""
+4;"106004";"106004";"Bioethik";""
+4;"106005";"106005";"Bioinformatik";""
+4;"106006";"106006";"Biophysik";""
+4;"106007";"106007";"Biostatistik";""
+4;"106008";"106008";"Botanik";""
+4;"106009";"106009";"Chronobiologie";""
+4;"106010";"106010";"Entwicklungsbiologie";""
+4;"106011";"106011";"3R (Replacement, Reduction, Refinement von Tierversuchen)";""
+4;"106012";"106012";"Evolutionsforschung";""
+4;"106013";"106013";"Genetik";""
+4;"106014";"106014";"Genomik";""
+4;"106015";"106015";"Geobotanik";""
+4;"106016";"106016";"Geschichte der Biologie";""
+4;"106017";"106017";"Glykobiologie";""
+4;"106018";"106018";"Humanbiologie";""
+4;"106019";"106019";"Hydrobiologie";""
+4;"106020";"106020";"Limnologie";""
+4;"106021";"106021";"Meeresbiologie";""
+4;"106022";"106022";"Mikrobiologie";""
+4;"106023";"106023";"Molekularbiologie";""
+4;"106024";"106024";"Mykologie";""
+4;"106025";"106025";"Neurobiologie";""
+4;"106026";"106026";"�kosystemforschung";""
+4;"106027";"106027";"�kotoxikologie";""
+4;"106028";"106028";"Pflanzenanatomie";""
+4;"106029";"106029";"Pflanzenmorphologie";""
+4;"106030";"106030";"Pflanzen�kologie";""
+4;"106031";"106031";"Pflanzenphysiologie";""
+4;"106032";"106032";"Photobiologie";""
+4;"106033";"106033";"Phylogenie";""
+4;"106034";"106034";"Phytochemie";""
+4;"106035";"106035";"Phytogeographie";""
+4;"106036";"106036";"Populationsgenetik";""
+4;"106037";"106037";"Proteomik";""
+4;"106038";"106038";"Reproduktionsbiologie";""
+4;"106039";"106039";"Stammzellenforschung";""
+4;"106040";"106040";"Strahlenbiologie";""
+4;"106041";"106041";"Strukturbiologie";""
+4;"106042";"106042";"Systematische Botanik";""
+4;"106043";"106043";"Systematische Zoologie";""
+4;"106044";"106044";"Systembiologie";""
+4;"106045";"106045";"Theoretische Biologie";""
+4;"106046";"106046";"Tieranatomie";""
+4;"106047";"106047";"Tier�kologie";""
+4;"106048";"106048";"Tierphysiologie";""
+4;"106049";"106049";"Ultrastrukturforschung";""
+4;"106050";"106050";"Vegetationskunde";""
+4;"106051";"106051";"Verhaltensbiologie";""
+4;"106052";"106052";"Zellbiologie";""
+4;"106053";"106053";"Zoogeographie";""
+4;"106054";"106054";"Zoologie";""
+4;"106055";"106055";"Aerobiologie";""
+4;"106056";"106056";"Biologische Anthropologie";""
+4;"106057";"106057";"Metabolomik";""
+4;"106058";"106058";"Bodenbiologie";""
+4;"106059";"106059";"Mikrobiomforschung";""
+4;"106060";"106060";"Tierethik";""
+2;"107";"107";"Andere Naturwissenschaften";""
+3;"1070";"1070";"Andere Naturwissenschaften";""
+4;"107001";"107001";"Arch�ometrie";""
+4;"107002";"107002";"Bionik";""
+4;"107003";"107003";"Geschichte der Naturwissenschaften";""
+4;"107004";"107004";"Human�kologie";""
+4;"107005";"107005";"Lebensmitteluntersuchung";""
+4;"107006";"107006";"Naturschutz";""
+4;"107007";"107007";"Risikoforschung";""
+4;"107008";"107008";"Arch�obotanik";""
+4;"107009";"107009";"Arch�ozoologie";""
+4;"107010";"107010";"Geoarch�ologie";""
+1;"2";"2";"TECHNISCHE WISSENSCHAFTEN";""
+2;"201";"201";"Bauwesen";""
+3;"2011";"2011";"Bauingenieurwesen";""
+4;"201101";"201101";"Baubetrieb";""
+4;"201102";"201102";"Baudynamik";""
+4;"201103";"201103";"Bauphysik";""
+4;"201104";"201104";"Baustatik";""
+4;"201105";"201105";"Baustofflehre";""
+4;"201106";"201106";"Bautechnik";""
+4;"201107";"201107";"Betriebsfestigkeit";""
+4;"201108";"201108";"Bruchmechanik";""
+4;"201109";"201109";"Br�ckenbau";""
+4;"201110";"201110";"Festigkeitslehre";""
+4;"201111";"201111";"Flussbau";""
+4;"201112";"201112";"Hochbau";""
+4;"201113";"201113";"Holzbau";""
+4;"201114";"201114";"Industriebau";""
+4;"201115";"201115";"Konstruktiver Wasserbau";""
+4;"201116";"201116";"Landwirtschaftliches Bauwesen";""
+4;"201117";"201117";"Leichtbau";""
+4;"201118";"201118";"Siedlungswasserbau";""
+4;"201119";"201119";"Stahlbau";""
+4;"201120";"201120";"Stahlbetonbau";""
+4;"201121";"201121";"Stra�enbau";""
+4;"201122";"201122";"Technischer Hochwasserschutz";""
+4;"201123";"201123";"Tiefbau";""
+4;"201124";"201124";"Tragwerkslehre";""
+4;"201125";"201125";"Wasserbau";""
+4;"201126";"201126";"Wasserkraftanlagenbau";""
+4;"201127";"201127";"Wildbach- und Lawinenverbauung";""
+4;"201128";"201128";"Nachhaltiges Bauen";""
+4;"201129";"201129";"Erdbebeningenieurwesen";""
+4;"201130";"201130";"Konstruktiver Glasbau";""
+4;"201131";"201131";"Baugeschichte";""
+4;"201132";"201132";"Computational Engineering";""
+3;"2012";"2012";"Architektur";""
+4;"201201";"201201";"Architekturgeschichte";""
+4;"201202";"201202";"Architekturmodellbau";""
+4;"201203";"201203";"Architekturtheorie";""
+4;"201204";"201204";"Barrierefreies Bauen";""
+4;"201205";"201205";"Bauforschung";""
+4;"201206";"201206";"Entwerfen";""
+4;"201207";"201207";"Geb�udelehre";""
+4;"201208";"201208";"Industriearchitektur";""
+4;"201209";"201209";"Innenarchitektur";""
+4;"201210";"201210";"Landschaftsarchitektur";""
+4;"201211";"201211";"Solararchitektur";""
+4;"201212";"201212";"St�dtebau";""
+4;"201213";"201213";"Wohnbau";""
+4;"201214";"201214";"Experimentelle Architektur";""
+4;"201215";"201215";"Baukulturelles Erbe";""
+3;"2013";"2013";"Verkehrswesen";""
+4;"201301";"201301";"Bahnbau";""
+4;"201302";"201302";"Eisenbahnwesen";""
+4;"201303";"201303";"Seilbahnwesen";""
+4;"201304";"201304";"Stra�enbau";""
+4;"201305";"201305";"Verkehrstechnik";""
+4;"201306";"201306";"Verkehrstelematik";""
+4;"201307";"201307";"Verkehrswirtschaft";""
+3;"2019";"2019";"Sonstiges Bauwesen";""
+4;"201901";"201901";"Altbausanierung";""
+4;"201902";"201902";"Bau�kologie";""
+4;"201903";"201903";"Ingenieurbiologie";""
+4;"201904";"201904";"Vegetationstechnik";""
+4;"201905";"201905";"Bauen im Bestand";""
+4;"201906";"201906";"Bauwerksbegr�nung";""
+2;"202";"202";"Elektrotechnik, Elektronik, Informationstechnik";""
+3;"2020";"2020";"Elektrotechnik, Elektronik, Informationstechnik";""
+4;"202001";"202001";"Audiotechnik";""
+4;"202002";"202002";"Audiovisuelle Medien";""
+4;"202003";"202003";"Automatisierungstechnik";""
+4;"202004";"202004";"Brain-Computer Interface";""
+4;"202005";"202005";"Computer Architektur";""
+4;"202006";"202006";"Computer Hardware";""
+4;"202007";"202007";"Computer Integrated Manufacturing (CIM)";""
+4;"202008";"202008";"Elektrische Anlagen";""
+4;"202009";"202009";"Elektrische Antriebstechnik";""
+4;"202010";"202010";"Elektrische Energietechnik";""
+4;"202011";"202011";"Elektrische Maschinen";""
+4;"202012";"202012";"Elektrische Messtechnik";""
+4;"202013";"202013";"Elektromagnetische Vertr�glichkeit";""
+4;"202014";"202014";"Elektromagnetismus";""
+4;"202015";"202015";"Elektronik";""
+4;"202016";"202016";"Elektrotechnik";""
+4;"202017";"202017";"Embedded Systems";""
+4;"202018";"202018";"Halbleiterelektronik";""
+4;"202019";"202019";"Hochfrequenztechnik";""
+4;"202020";"202020";"Hochspannungstechnik";""
+4;"202021";"202021";"Industrielle Elektronik";""
+4;"202022";"202022";"Informationstechnik";""
+4;"202023";"202023";"Integrierte Schaltkreise";""
+4;"202024";"202024";"Lasertechnik";""
+4;"202025";"202025";"Leistungselektronik";""
+4;"202026";"202026";"Lichttechnik";""
+4;"202027";"202027";"Mechatronik";""
+4;"202028";"202028";"Mikroelektronik";""
+4;"202029";"202029";"Mikrowellentechnik";""
+4;"202030";"202030";"Nachrichtentechnik";""
+4;"202031";"202031";"Netzwerktechnik";""
+4;"202032";"202032";"Photovoltaik";""
+4;"202033";"202033";"Radartechnik";""
+4;"202034";"202034";"Regelungstechnik";""
+4;"202035";"202035";"Robotik";""
+4;"202036";"202036";"Sensorik";""
+4;"202037";"202037";"Signalverarbeitung";""
+4;"202038";"202038";"Telekommunikation";""
+4;"202039";"202039";"Theoretische Elektrotechnik";""
+4;"202040";"202040";"�bertragungstechnik";""
+4;"202041";"202041";"Technische Informatik";""
+4;"202042";"202042";"Optische Nachrichtentechnik";""
+4;"202043";"202043";"Netzwerksicherheit";""
+2;"203";"203";"Maschinenbau";""
+3;"2030";"2030";"Maschinenbau";""
+4;"203001";"203001";"Apparatebau";""
+4;"203002";"203002";"Betriebsfestigkeit";""
+4;"203003";"203003";"Bruchmechanik";""
+4;"203004";"203004";"Fahrzeugtechnik";""
+4;"203005";"203005";"Feinwerktechnik";""
+4;"203006";"203006";"Fertigungstechnik";""
+4;"203007";"203007";"Festigkeitslehre";""
+4;"203008";"203008";"F�rdertechnik";""
+4;"203009";"203009";"K�ltetechnik";""
+4;"203010";"203010";"Klimatechnik";""
+4;"203011";"203011";"Leichtbau";""
+4;"203012";"203012";"Luftfahrttechnik";""
+4;"203013";"203013";"Maschinenbau";""
+4;"203014";"203014";"Maschinendynamik";""
+4;"203015";"203015";"Mechatronik";""
+4;"203016";"203016";"Messtechnik";""
+4;"203017";"203017";"Mikromechanik";""
+4;"203018";"203018";"Montanmaschinenbau";""
+4;"203019";"203019";"Reaktortechnik";""
+4;"203020";"203020";"Schwei�technik";""
+4;"203021";"203021";"Str�mungsmaschinen";""
+4;"203022";"203022";"Technische Mechanik";""
+4;"203023";"203023";"Thermische Turbomaschinen";""
+4;"203024";"203024";"Thermodynamik";""
+4;"203025";"203025";"Tribologie";""
+4;"203026";"203026";"Umformtechnik";""
+4;"203027";"203027";"Verbrennungskraftmaschinen";""
+4;"203028";"203028";"W�rmetechnik";""
+4;"203029";"203029";"Werkzeugbau";""
+4;"203030";"203030";"Brennstoffzellentechnik";""
+4;"203031";"203031";"Konstruktionslehre";""
+4;"203032";"203032";"Generative Fertigungsverfahren";""
+4;"203033";"203033";"Hydraulische Antriebstechnik";""
+4;"203034";"203034";"Kontinuumsmechanik";""
+4;"203035";"203035";"Thermoprozesstechnik";""
+4;"203036";"203036";"Waffen- und Munitionstechnik";""
+4;"203037";"203037";"Computational Engineering";""
+4;"203038";"203038";"L�ftungstechnik";""
+2;"204";"204";"Chemische Verfahrenstechnik";""
+3;"2040";"2040";"Chemische Verfahrenstechnik";""
+4;"204001";"204001";"Anorganisch-chemische Technologie";""
+4;"204002";"204002";"Chemische Reaktionstechnik";""
+4;"204003";"204003";"Chemische Verfahrenstechnik";""
+4;"204004";"204004";"Organisch-chemische Technologie";""
+4;"204005";"204005";"Raffinerietechnik";""
+4;"204006";"204006";"Mechanische Verfahrenstechnik";""
+4;"204007";"204007";"Thermische Verfahrenstechnik";""
+4;"204008";"204008";"Membrantechnologie";""
+2;"205";"205";"Werkstofftechnik";""
+3;"2050";"2050";"Werkstofftechnik";""
+4;"205001";"205001";"Baustoffpr�fung";""
+4;"205002";"205002";"Beschichtungstechnik";""
+4;"205003";"205003";"Feuerfeste Materialien";""
+4;"205004";"205004";"Funktionsmaterialien";""
+4;"205005";"205005";"Gesteinsh�ttenkunde";""
+4;"205006";"205006";"Holzforschung";""
+4;"205007";"205007";"Holzschutzmittel";""
+4;"205008";"205008";"Holztechnologie";""
+4;"205009";"205009";"Keramische Werkstoffe";""
+4;"205010";"205010";"Korrosionsschutzmittel";""
+4;"205011";"205011";"Kunststofftechnik";""
+4;"205012";"205012";"Kunststoffverarbeitung";""
+4;"205013";"205013";"Schadensanalytik";""
+4;"205014";"205014";"Textiltechnik";""
+4;"205015";"205015";"Verbundwerkstoffe";""
+4;"205016";"205016";"Werkstoffpr�fung";""
+4;"205017";"205017";"Werkstofftechnik";""
+4;"205018";"205018";"Zellstoff- und Papiertechnik";""
+4;"205019";"205019";"Materialwissenschaften";""
+2;"206";"206";"Medizintechnik";""
+3;"2060";"2060";"Medizintechnik";""
+4;"206001";"206001";"Biomedizinische Technik";""
+4;"206002";"206002";"Elektromedizinische Technik";""
+4;"206003";"206003";"Medizinische Physik";""
+4;"206004";"206004";"Medizintechnik";""
+4;"206005";"206005";"Prothetik";""
+4;"206006";"206006";"Rehabilitationstechnik";""
+2;"207";"207";"Umweltingenieurwesen, Angewandte Geowissenschaften";""
+3;"2071";"2071";"Umwelttechnik";""
+4;"207101";"207101";"Abfalltechnik";""
+4;"207102";"207102";"Abluftreinigung";""
+4;"207103";"207103";"Abwasserreinigung";""
+4;"207104";"207104";"Altlastensanierung";""
+4;"207105";"207105";"Deponietechnik";""
+4;"207106";"207106";"Erneuerbare Energie";""
+4;"207107";"207107";"Luftreinhaltung";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Schadstoffemission";""
+4;"207110";"207110";"Technischer Umweltschutz";""
+4;"207111";"207111";"Umwelttechnik";""
+4;"207112";"207112";"Wasseraufbereitung";""
+4;"207113";"207113";"Wasserinfrastruktur";""
+4;"207114";"207114";"Wasserwirtschaft";""
+3;"2072";"2072";"Ingenieurgeologie, Geotechnik";""
+4;"207201";"207201";"Bodenmechanik";""
+4;"207202";"207202";"Erdbau";""
+4;"207203";"207203";"Felsmechanik";""
+4;"207204";"207204";"Geotechnik";""
+4;"207205";"207205";"Grundbau";""
+4;"207206";"207206";"Ingenieurgeologie";""
+4;"207207";"207207";"Tunnelbau";""
+4;"207208";"207208";"Tunnelbel�ftung";""
+3;"2073";"2073";"Bergbau, Erd�lgewinnung";""
+4;"207301";"207301";"Aufbereitung mineralischer Rohstoffe";""
+4;"207302";"207302";"Bergbaukunde";""
+4;"207303";"207303";"Bergschadenkunde";""
+4;"207304";"207304";"Erdgasgewinnung";""
+4;"207305";"207305";"Erdgastechnik";""
+4;"207306";"207306";"Erd�lgeologie";""
+4;"207307";"207307";"Erd�lgewinnung";""
+4;"207308";"207308";"Erd�ltechnik";""
+4;"207309";"207309";"Geschichte des Bergbaus";""
+4;"207310";"207310";"Gewinnung mineralischer Rohstoffe";""
+4;"207311";"207311";"Lagerst�ttenkunde";""
+4;"207312";"207312";"Markscheidekunde";""
+4;"207313";"207313";"Tiefbohrtechnik";""
+4;"207314";"207314";"Untertagebau";""
+3;"2074";"2074";"Geod�sie, Vermessungswesen";""
+4;"207401";"207401";"3D-Vermessung";""
+4;"207402";"207402";"Fernerkundung";""
+4;"207403";"207403";"Geod�sie";""
+4;"207404";"207404";"Geoinformatik";""
+4;"207405";"207405";"Ingenieurgeod�sie";""
+4;"207406";"207406";"Kartographie";""
+4;"207407";"207407";"Katastervermessung";""
+4;"207408";"207408";"Landesvermessung";""
+4;"207409";"207409";"Navigationssysteme";""
+4;"207410";"207410";"Photogrammetrie";""
+4;"207411";"207411";"Satellitengeod�sie";""
+4;"207412";"207412";"Satellitengest�tzte Koordinatenmessung";""
+4;"207413";"207413";"Vermessungswesen";""
+3;"2079";"2079";"Sonstiges Umweltingenieurwesen, Angewandte Geowissenschaften";""
+4;"207901";"207901";"Offshore-Technik";""
+4;"207902";"207902";"Computational Geosciences";""
+2;"208";"208";"Umweltbiotechnologie";""
+3;"2080";"2080";"Umweltbiotechnologie";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Ethik in der Umweltbiotechnologie";""
+4;"208003";"208003";"Umweltbiotechnologie";""
+2;"209";"209";"Industrielle Biotechnologie";""
+3;"2090";"2090";"Industrielle Biotechnologie";""
+4;"209001";"209001";"Biokatalyse";""
+4;"209002";"209002";"Bioprozesstechnik";""
+4;"209003";"209003";"Biotreibstoffe";""
+4;"209004";"209004";"Enzymtechnologie";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrielle Biotechnologie";""
+2;"210";"210";"Nanotechnologie";""
+3;"2100";"2100";"Nanotechnologie";""
+4;"210001";"210001";"Nanoanalytik";""
+4;"210002";"210002";"Nanobiotechnologie";""
+4;"210003";"210003";"Nanoelektronik";""
+4;"210004";"210004";"Nanomaterialien";""
+4;"210005";"210005";"Nanophotonik";""
+4;"210006";"210006";"Nanotechnologie";""
+2;"211";"211";"Andere Technische Wissenschaften";""
+3;"2111";"2111";"Metallurgie";""
+4;"211101";"211101";"Eisen- und Stahlmetallurgie";""
+4;"211102";"211102";"Gie�ereitechnik";""
+4;"211103";"211103";"Metallkunde";""
+4;"211104";"211104";"Metallurgie";""
+4;"211105";"211105";"Nichteisenmetallurgie";""
+4;"211106";"211106";"Leichtmetalle";""
+4;"211107";"211107";"Sekund�rmetallurgie";""
+3;"2112";"2112";"Lebensmitteltechnologie";""
+4;"211201";"211201";"Getreidetechnologie";""
+4;"211202";"211202";"Lebensmitteltechnologie";""
+4;"211203";"211203";"Lebensmittelverfahrenstechnik";""
+4;"211204";"211204";"Fleischtechnologie";""
+3;"2119";"2119";"Sonstige Technische Wissenschaften";""
+4;"211901";"211901";"Abfallvermeidung";""
+4;"211902";"211902";"Assistierende Technologien";""
+4;"211903";"211903";"Betriebswissenschaften";""
+4;"211904";"211904";"Biomechanik";""
+4;"211905";"211905";"Bionik";""
+4;"211906";"211906";"Brandschutz";""
+4;"211907";"211907";"Energieeinsparung";""
+4;"211908";"211908";"Energieforschung";""
+4;"211909";"211909";"Energietechnik";""
+4;"211910";"211910";"L�rmschutz";""
+4;"211911";"211911";"Nachhaltige Technologien";""
+4;"211912";"211912";"Produktgestaltung";""
+4;"211913";"211913";"Qualit�tssicherung";""
+4;"211914";"211914";"Risikoforschung";""
+4;"211915";"211915";"Solartechnik";""
+4;"211916";"211916";"Sprengtechnik";""
+4;"211917";"211917";"Technikfolgenabsch�tzung";""
+4;"211918";"211918";"Technikgeschichte";""
+4;"211919";"211919";"Thermographie";""
+4;"211920";"211920";"Verpackungstechnik";""
+4;"211921";"211921";"Zivil- und Katastrophenschutz";""
+4;"211922";"211922";"Energiespeicherung";""
+4;"211923";"211923";"Fabrikplanung";""
+4;"211924";"211924";"Prozess- und Anlagensicherheit";""
+4;"211925";"211925";"Explosionsforschung";""
+4;"211926";"211926";"Technikethik";""
+1;"3";"3";"HUMANMEDIZIN, GESUNDHEITSWISSENSCHAFTEN";""
+2;"301";"301";"Medizinisch-theoretische Wissenschaften, Pharmazie";""
+3;"3011";"3011";"Anatomie, Pathologie, Physiologie";""
+4;"301101";"301101";"Allgemeine Pathologie";""
+4;"301102";"301102";"Anatomie";""
+4;"301103";"301103";"Diagnostik in der Medizin";""
+4;"301104";"301104";"Embryologie";""
+4;"301105";"301105";"Experimentelle Pathologie";""
+4;"301106";"301106";"Funktionelle Anatomie";""
+4;"301107";"301107";"Histologie";""
+4;"301108";"301108";"Molekulare Pathologie";""
+4;"301109";"301109";"Pathophysiologie";""
+4;"301110";"301110";"Physiologie";""
+4;"301111";"301111";"R�ntgenanatomie";""
+4;"301112";"301112";"Systematische Anatomie";""
+4;"301113";"301113";"Topographische Anatomie";""
+4;"301114";"301114";"Zellbiologie";""
+4;"301115";"301115";"Sonoanatomie";""
+3;"3012";"3012";"Pharmazie, Pharmakologie, Toxikologie";""
+4;"301201";"301201";"Arzneimittel-, Arzneistoffanalyse";""
+4;"301202";"301202";"Geschichte der Pharmazie";""
+4;"301203";"301203";"Pharmakodynamik";""
+4;"301204";"301204";"Pharmakognosie";""
+4;"301205";"301205";"Pharmakokinetik";""
+4;"301206";"301206";"Pharmakologie";""
+4;"301207";"301207";"Pharmazeutische Chemie";""
+4;"301208";"301208";"Pharmazeutische Technologie";""
+4;"301209";"301209";"Pharmazie";""
+4;"301210";"301210";"Psychopharmakologie";""
+4;"301211";"301211";"Toxikologie";""
+4;"301212";"301212";"Klinische Pharmazie";""
+4;"301213";"301213";"Drug Targeting";""
+4;"301214";"301214";"Biopharmazie";""
+4;"301215";"301215";"Arzneimittelsicherheit";""
+3;"3013";"3013";"Medizinische Biochemie, Humangenetik";""
+4;"301301";"301301";"Humangenetik";""
+4;"301302";"301302";"Lipidforschung";""
+4;"301303";"301303";"Medizinische Biochemie";""
+4;"301304";"301304";"Medizinische Biologie";""
+4;"301305";"301305";"Medizinische Chemie";""
+4;"301306";"301306";"Medizinische Molekularbiologie";""
+4;"301307";"301307";"Zytogenetik";""
+4;"301308";"301308";"Alternsforschung";""
+3;"3014";"3014";"Neurowissenschaften";""
+4;"301401";"301401";"Hirnforschung";""
+4;"301402";"301402";"Neurobiologie";""
+4;"301403";"301403";"Neurochemie";""
+4;"301404";"301404";"Neuroimmunologie";""
+4;"301405";"301405";"Neuropathologie";""
+4;"301406";"301406";"Neuropharmakologie";""
+4;"301407";"301407";"Neurophysiologie";""
+4;"301408";"301408";"Psychophysiologie";""
+4;"301409";"301409";"Neuroanatomie";""
+3;"3019";"3019";"Sonstige Medizinisch-theoretische Wissenschaften";""
+4;"301901";"301901";"Blutgruppenserologie";""
+4;"301902";"301902";"Immunologie";""
+4;"301903";"301903";"Impfstoffentwicklung";""
+4;"301904";"301904";"Krebsforschung";""
+4;"301905";"301905";"Psychoneuroimmunologie";""
+4;"301906";"301906";"Serologie";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Klinische Medizin";""
+3;"3020";"3020";"Klinische Medizin";""
+4;"302001";"302001";"Akupunktur";""
+4;"302002";"302002";"Allergologie";""
+4;"302003";"302003";"Allgemeinchirurgie";""
+4;"302004";"302004";"An�sthesiologie";""
+4;"302005";"302005";"Andrologie";""
+4;"302006";"302006";"Angiologie";""
+4;"302007";"302007";"Augenheilkunde";""
+4;"302008";"302008";"Balneologie";""
+4;"302009";"302009";"Chemotherapie";""
+4;"302010";"302010";"Computertomographie (CT)";""
+4;"302011";"302011";"Dermatologie";""
+4;"302012";"302012";"Diabetologie";""
+4;"302013";"302013";"Diagnostik in der Medizin";""
+4;"302014";"302014";"Endokrinologie";""
+4;"302015";"302015";"Experimentelle Chirurgie";""
+4;"302016";"302016";"Gastroenterologie";""
+4;"302017";"302017";"Geburtshilfe";""
+4;"302018";"302018";"Gef��chirurgie";""
+4;"302019";"302019";"Geriatrie";""
+4;"302020";"302020";"Gerontologie";""
+4;"302021";"302021";"Geschichte der Psychiatrie";""
+4;"302022";"302022";"Gyn�kologie";""
+4;"302023";"302023";"Hals-, Nasen-, Ohrenheilkunde";""
+4;"302024";"302024";"H�matologie";""
+4;"302025";"302025";"Hepatologie";""
+4;"302026";"302026";"Herzchirurgie";""
+4;"302027";"302027";"H�r-, Stimm- und Sprachst�rungen";""
+4;"302028";"302028";"Hyperbare Medizin";""
+4;"302029";"302029";"Implantologie";""
+4;"302030";"302030";"Innere Medizin";""
+4;"302031";"302031";"Intensivmedizin";""
+4;"302032";"302032";"Kardiologie";""
+4;"302033";"302033";"Kieferchirurgie";""
+4;"302034";"302034";"Kieferorthop�die";""
+4;"302035";"302035";"Kinder- und Jugendheilkunde";""
+4;"302036";"302036";"Kinder- und Jugendpsychiatrie";""
+4;"302037";"302037";"Kinderchirurgie";""
+4;"302038";"302038";"Klinische Neuropsychologie";""
+4;"302039";"302039";"Komplement�rmedizin";""
+4;"302040";"302040";"Labordiagnostik";""
+4;"302041";"302041";"Laserchirurgie";""
+4;"302042";"302042";"Logop�die";""
+4;"302043";"302043";"Magnetresonanztomographie (MRT)";""
+4;"302044";"302044";"Medizinische Physik";""
+4;"302045";"302045";"Medizinische Psychologie";""
+4;"302046";"302046";"Medizinische Psychotherapie";""
+4;"302047";"302047";"Mikrochirurgie";""
+4;"302048";"302048";"Minimal-invasive Chirurgie";""
+4;"302049";"302049";"Neonatologie";""
+4;"302050";"302050";"Nephrologie";""
+4;"302051";"302051";"Neurochirurgie";""
+4;"302052";"302052";"Neurologie";""
+4;"302053";"302053";"Notfallmedizin";""
+4;"302054";"302054";"Nuklearmedizin";""
+4;"302055";"302055";"Onkologie";""
+4;"302056";"302056";"Onkologische Chirurgie";""
+4;"302057";"302057";"Orthop�die";""
+4;"302058";"302058";"Palliativmedizin";""
+4;"302059";"302059";"Parodontologie";""
+4;"302060";"302060";"Perinatologie";""
+4;"302061";"302061";"Physikalische Medizin";""
+4;"302062";"302062";"Plastische und Rekonstruktive Chirurgie";""
+4;"302063";"302063";"Polytraumaversorgung";""
+4;"302064";"302064";"Pr�natale Diagnostik";""
+4;"302065";"302065";"Psychiatrie";""
+4;"302066";"302066";"Psychopathologie";""
+4;"302067";"302067";"Psychosomatik";""
+4;"302068";"302068";"Pulmologie";""
+4;"302069";"302069";"Radiochirurgie";""
+4;"302070";"302070";"Radiodiagnostik";""
+4;"302071";"302071";"Radiologie";""
+4;"302072";"302072";"Rheumatologie";""
+4;"302073";"302073";"Schlafmedizin";""
+4;"302074";"302074";"Schmerzmedizin";""
+4;"302075";"302075";"Sonographie";""
+4;"302076";"302076";"Sozialpsychiatrie";""
+4;"302077";"302077";"Stammzellentransplantation";""
+4;"302078";"302078";"Stoffwechselerkrankungen";""
+4;"302079";"302079";"Strahlenschutz";""
+4;"302080";"302080";"Strahlentherapie";""
+4;"302081";"302081";"Thoraxchirurgie";""
+4;"302082";"302082";"Transfusionsmedizin";""
+4;"302083";"302083";"Transplantationschirurgie";""
+4;"302084";"302084";"Transplantationsmedizin";""
+4;"302085";"302085";"Unfallchirurgie";""
+4;"302086";"302086";"Urologie";""
+4;"302087";"302087";"Venerologie";""
+4;"302088";"302088";"Zahn-, Mund- und Kieferheilkunde";""
+4;"302089";"302089";"Reproduktionsmedizin";""
+4;"302090";"302090";"Allgemeinmedizin";""
+4;"302091";"302091";"Immuntherapie";""
+4;"302092";"302092";"Orale Chirurgie";""
+4;"302093";"302093";"Zahnerhaltungskunde";""
+2;"303";"303";"Gesundheitswissenschaften";""
+3;"3030";"3030";"Gesundheitswissenschaften";""
+4;"303001";"303001";"Arbeitsmedizin";""
+4;"303002";"303002";"Bakteriologie";""
+4;"303003";"303003";"Berufskrankheiten";""
+4;"303004";"303004";"Bewegungswissenschaft";""
+4;"303005";"303005";"Biomechanik des Sports";""
+4;"303006";"303006";"Di�tologie";""
+4;"303007";"303007";"Epidemiologie";""
+4;"303008";"303008";"Ergonomie";""
+4;"303009";"303009";"Ern�hrungswissenschaften";""
+4;"303010";"303010";"Gesundheits�konomie";""
+4;"303011";"303011";"Gesundheitspolitik";""
+4;"303012";"303012";"Gesundheitswissenschaften";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Impfschutz";""
+4;"303015";"303015";"Krankenhaushygiene";""
+4;"303016";"303016";"Krankenhausmanagement";""
+4;"303017";"303017";"Lebensmittelhygiene";""
+4;"303018";"303018";"Lufthygiene";""
+4;"303019";"303019";"Medizinische Ethik";""
+4;"303020";"303020";"Medizinische Mikrobiologie";""
+4;"303021";"303021";"Medizinische Rehabilitation";""
+4;"303022";"303022";"Palliativpflege";""
+4;"303023";"303023";"Parasitologie";""
+4;"303024";"303024";"Pflegewissenschaft";""
+4;"303025";"303025";"Pr�ventivmedizin";""
+4;"303026";"303026";"Public Health";""
+4;"303027";"303027";"Sozialmedizin";""
+4;"303028";"303028";"Sportwissenschaft";""
+4;"303029";"303029";"Suchtforschung";""
+4;"303030";"303030";"Trainingswissenschaft";""
+4;"303031";"303031";"Tropenmedizin";""
+4;"303032";"303032";"Umwelthygiene";""
+4;"303033";"303033";"Umweltmedizin";""
+4;"303034";"303034";"Virologie";""
+4;"303035";"303035";"Wasserhygiene";""
+4;"303036";"303036";"Patientensicherheit";""
+4;"303037";"303037";"Ergotherapie";""
+4;"303038";"303038";"Physiotherapie";""
+4;"303039";"303039";"Radiologietechnologie";""
+4;"303040";"303040";"Versorgungsforschung";""
+2;"304";"304";"Medizinische Biotechnologie";""
+3;"3040";"3040";"Medizinische Biotechnologie";""
+4;"304001";"304001";"Ethik in der Medizinischen Biotechnologie";""
+4;"304002";"304002";"Genetische Diagnostik";""
+4;"304003";"304003";"Gentechnik";""
+4;"304004";"304004";"Gentherapie";""
+4;"304005";"304005";"Medizinische Biotechnologie";""
+4;"304006";"304006";"Pharmakogenomik";""
+4;"304007";"304007";"Tissue Engineering";""
+4;"304008";"304008";"Regenerative Medizin";""
+2;"305";"305";"Andere Humanmedizin, Gesundheitswissenschaften";""
+3;"3051";"3051";"Gerichtsmedizin";""
+4;"305101";"305101";"Blutspurenanalyse";""
+4;"305102";"305102";"DNA-Analyse (Gerichtsmedizin)";""
+4;"305103";"305103";"Forensische Biologie";""
+4;"305104";"305104";"Forensische Chemie";""
+4;"305105";"305105";"Forensische Psychiatrie";""
+4;"305106";"305106";"Forensische Radiologie";""
+4;"305107";"305107";"Forensische Toxikologie";""
+4;"305108";"305108";"Gerichtliche Humanmedizin";""
+4;"305109";"305109";"Forensische Anthropologie";""
+3;"3059";"3059";"Sonstige Humanmedizin, Gesundheitswissenschaften";""
+4;"305901";"305901";"Computerunterst�tzte Diagnose und Therapie";""
+4;"305902";"305902";"Gender Medizin";""
+4;"305903";"305903";"Geschichte der Medizin";""
+4;"305904";"305904";"Medizinische Dokumentation";""
+4;"305905";"305905";"Medizinische Informatik";""
+4;"305906";"305906";"Medizinische Kybernetik";""
+4;"305907";"305907";"Medizinische Statistik";""
+4;"305908";"305908";"Sportmedizin";""
+4;"305909";"305909";"Stressforschung";""
+4;"305910";"305910";"Verkehrsmedizin";""
+1;"4";"4";"AGRARWISSENSCHAFTEN, VETERIN�RMEDIZIN";""
+2;"401";"401";"Land- und Forstwirtschaft, Fischerei";""
+3;"4011";"4011";"Ackerbau, Gartenbau";""
+4;"401101";"401101";"Ackerbau";""
+4;"401102";"401102";"Bew�sserungswirtschaft";""
+4;"401103";"401103";"Gartenbau";""
+4;"401104";"401104";"Gem�sebau";""
+4;"401105";"401105";"Getreidebau";""
+4;"401106";"401106";"Landschaftspflege";""
+4;"401107";"401107";"Landtechnik";""
+4;"401108";"401108";"Obstbau";""
+4;"401109";"401109";"�kologischer Landbau";""
+4;"401110";"401110";"Pflanzenbau";""
+4;"401111";"401111";"Pflanzenern�hrung";""
+4;"401112";"401112";"Pflanzenschutz";""
+4;"401113";"401113";"Pflanzenzucht";""
+4;"401114";"401114";"Saatzucht";""
+4;"401115";"401115";"Samenzucht";""
+4;"401116";"401116";"Spezialkulturen";""
+4;"401117";"401117";"Weinbau";""
+4;"401118";"401118";"Zierpflanzenbau";""
+4;"401119";"401119";"Feldfutterbau";""
+3;"4012";"4012";"Forst- und Holzwirtschaft";""
+4;"401201";"401201";"Forstentomologie";""
+4;"401202";"401202";"Forstpathologie";""
+4;"401203";"401203";"Forstschutz";""
+4;"401204";"401204";"Forsttechnik";""
+4;"401205";"401205";"Forstwirtschaft";""
+4;"401206";"401206";"Holzwirtschaft";""
+4;"401207";"401207";"Waldbau";""
+4;"401208";"401208";"Wald�kologie";""
+4;"401209";"401209";"Waldwachstum";""
+3;"4019";"4019";"Sonstige Land- und Forstwirtschaft, Fischerei";""
+4;"401901";"401901";"Bodenerosion";""
+4;"401902";"401902";"Bodenkunde";""
+4;"401903";"401903";"Fischerei";""
+4;"401904";"401904";"Geschichte der Land- und Forstwirtschaft";""
+4;"401905";"401905";"Nachwachsende Rohstoffe";""
+4;"401906";"401906";"Jagdwirtschaft";""
+2;"402";"402";"Tierzucht, Tierproduktion";""
+3;"4020";"4020";"Tierzucht, Tierproduktion";""
+4;"402001";"402001";"Bienenkunde";""
+4;"402002";"402002";"Fischkunde";""
+4;"402003";"402003";"Fleischhygiene";""
+4;"402004";"402004";"Fleischproduktion";""
+4;"402005";"402005";"Futtermittelanalyse";""
+4;"402006";"402006";"Haustierzucht";""
+4;"402007";"402007";"Imkerei";""
+4;"402008";"402008";"K�nstliche Besamung";""
+4;"402009";"402009";"Lebensmitteluntersuchung";""
+4;"402010";"402010";"Milchhygiene";""
+4;"402011";"402011";"Milchproduktion";""
+4;"402012";"402012";"Nutztierethologie";""
+4;"402013";"402013";"Tierern�hrung";""
+4;"402014";"402014";"Tierhaltung";""
+4;"402015";"402015";"Tierproduktion";""
+4;"402016";"402016";"Tierschutz";""
+4;"402017";"402017";"Tierzucht";""
+4;"402018";"402018";"Labortierkunde";""
+2;"403";"403";"Veterin�rmedizin";""
+3;"4030";"4030";"Veterin�rmedizin";""
+4;"403001";"403001";"An�sthesiologie (Veterin�rmedizin)";""
+4;"403002";"403002";"Anatomie (Veterin�rmedizin)";""
+4;"403003";"403003";"Andrologie (Veterin�rmedizin)";""
+4;"403004";"403004";"Augenheilkunde (Veterin�rmedizin)";""
+4;"403005";"403005";"Bakteriologie (Veterin�rmedizin)";""
+4;"403006";"403006";"Bildgebende Diagnostik (Veterin�rmedizin)";""
+4;"403007";"403007";"Chirurgie (Veterin�rmedizin)";""
+4;"403008";"403008";"Diagnostik (Veterin�rmedizin)";""
+4;"403009";"403009";"Embryologie (Veterin�rmedizin)";""
+4;"403010";"403010";"Geburtshilfe (Veterin�rmedizin)";""
+4;"403011";"403011";"Gerichtliche Veterin�rmedizin";""
+4;"403012";"403012";"Geschichte der Veterin�rmedizin";""
+4;"403013";"403013";"Gyn�kologie (Veterin�rmedizin)";""
+4;"403014";"403014";"Histologie (Veterin�rmedizin)";""
+4;"403015";"403015";"Hygiene (Veterin�rmedizin)";""
+4;"403016";"403016";"Immunologie (Veterin�rmedizin)";""
+4;"403017";"403017";"Interne Medizin (Veterin�rmedizin)";""
+4;"403018";"403018";"Labordiagnostik (Veterin�rmedizin)";""
+4;"403019";"403019";"Medizinische Biochemie (Veterin�rmedizin)";""
+4;"403020";"403020";"Medizinische Chemie (Veterin�rmedizin)";""
+4;"403021";"403021";"Neurologie (Veterin�rmedizin)";""
+4;"403022";"403022";"Orthop�die (Veterin�rmedizin)";""
+4;"403023";"403023";"Parasitologie (Veterin�rmedizin)";""
+4;"403024";"403024";"Pathologie (Veterin�rmedizin)";""
+4;"403025";"403025";"Pharmakologie (Veterin�rmedizin)";""
+4;"403026";"403026";"Physiologie (Veterin�rmedizin)";""
+4;"403027";"403027";"Phytotherapie (Veterin�rmedizin)";""
+4;"403028";"403028";"Tierern�hrung";""
+4;"403029";"403029";"Tierseuchenbek�mpfung";""
+4;"403030";"403030";"Toxikologie (Veterin�rmedizin)";""
+4;"403031";"403031";"Virologie (Veterin�rmedizin)";""
+4;"403032";"403032";"Zahnheilkunde (Veterin�rmedizin)";""
+4;"403033";"403033";"Regenerative Medizin (Veterin�rmedizin)";""
+4;"403034";"403034";"Schmerzmedizin (Veterin�rmedizin)";""
+4;"403035";"403035";"Bestandsbetreuung";""
+4;"403036";"403036";"Intensivmedizin (Veterin�rmedizin)";""
+2;"404";"404";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+3;"4040";"4040";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+4;"404001";"404001";"Agrarbiotechnologie";""
+4;"404002";"404002";"Biopharming";""
+4;"404003";"404003";"Ethik in der Agrar- und Lebensmittelbiotechnologie";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"G�rungstechnologie";""
+4;"404006";"404006";"Gentechnik";""
+4;"404007";"404007";"Lebensmittelbiotechnologie";""
+2;"405";"405";"Andere Agrarwissenschaften";""
+3;"4050";"4050";"Andere Agrarwissenschaften";""
+4;"405001";"405001";"Agrar�kologie";""
+4;"405002";"405002";"Agrar�konomie";""
+4;"405003";"405003";"Agrarpolitik";""
+4;"405004";"405004";"Nachhaltige Landwirtschaft";""
+4;"405005";"405005";"Wildtierkunde";""
+4;"405006";"405006";"Agrarsoziologie";""
+4;"405007";"405007";"Wildtiermanagement";""
+1;"5";"5";"SOZIALWISSENSCHAFTEN";""
+2;"501";"501";"Psychologie";""
+3;"5010";"5010";"Psychologie";""
+4;"501001";"501001";"Allgemeine Psychologie";""
+4;"501002";"501002";"Angewandte Psychologie";""
+4;"501003";"501003";"Arbeitspsychologie";""
+4;"501004";"501004";"Differentielle Psychologie";""
+4;"501005";"501005";"Entwicklungspsychologie";""
+4;"501006";"501006";"Experimentalpsychologie";""
+4;"501007";"501007";"Geschichte der Psychologie";""
+4;"501008";"501008";"Gruppendynamik";""
+4;"501009";"501009";"Kinder- und Jugendpsychologie";""
+4;"501010";"501010";"Klinische Psychologie";""
+4;"501011";"501011";"Kognitionspsychologie";""
+4;"501012";"501012";"Medienpsychologie";""
+4;"501013";"501013";"Motivationspsychologie";""
+4;"501014";"501014";"Neuropsychologie";""
+4;"501015";"501015";"Organisationspsychologie";""
+4;"501016";"501016";"P�dagogische Psychologie";""
+4;"501017";"501017";"Psychoanalyse";""
+4;"501018";"501018";"Psychologische Diagnostik";""
+4;"501019";"501019";"Psychotherapie";""
+4;"501020";"501020";"Rechtspsychologie";""
+4;"501021";"501021";"Sozialpsychologie";""
+4;"501022";"501022";"Suizidologie";""
+4;"501023";"501023";"Tiefenpsychologie";""
+4;"501024";"501024";"Verhaltenstherapie";""
+4;"501025";"501025";"Verkehrspsychologie";""
+4;"501026";"501026";"Wahrnehmungspsychologie";""
+4;"501027";"501027";"Musiktherapie";""
+4;"501028";"501028";"Psychosoziale Notfallversorgung (PSNV)";""
+4;"501029";"501029";"Wirtschaftspsychologie";""
+4;"501030";"501030";"Kognitionswissenschaft";""
+2;"502";"502";"Wirtschaftswissenschaften";""
+3;"5020";"5020";"Wirtschaftswissenschaften";""
+4;"502001";"502001";"Arbeitsmarktpolitik";""
+4;"502002";"502002";"Arbeitsmarkttheorie";""
+4;"502003";"502003";"Au�enhandel";""
+4;"502004";"502004";"Bankbetriebslehre";""
+4;"502005";"502005";"Bildungs�konomie";""
+4;"502006";"502006";"Controlling";""
+4;"502007";"502007";"E-Commerce";""
+4;"502008";"502008";"Entwicklungs�konomie";""
+4;"502009";"502009";"Finanzwirtschaft";""
+4;"502010";"502010";"Finanzwissenschaft";""
+4;"502011";"502011";"Genossenschaftswesen";""
+4;"502012";"502012";"Industriebetriebslehre";""
+4;"502013";"502013";"Industrie�konomik";""
+4;"502014";"502014";"Innovationsforschung";""
+4;"502015";"502015";"Innovationsmanagement";""
+4;"502016";"502016";"KMU-Forschung";""
+4;"502017";"502017";"Logistik";""
+4;"502018";"502018";"Makro�konomie";""
+4;"502019";"502019";"Marketing";""
+4;"502020";"502020";"Marktforschung";""
+4;"502021";"502021";"Mikro�konomie";""
+4;"502022";"502022";"Nachhaltiges Wirtschaften";""
+4;"502023";"502023";"NPO-Forschung";""
+4;"502024";"502024";"�ffentliche Wirtschaft";""
+4;"502025";"502025";"�konometrie";""
+4;"502026";"502026";"Personalmanagement";""
+4;"502027";"502027";"Politische �konomie";""
+4;"502028";"502028";"Produktionswirtschaft";""
+4;"502029";"502029";"Produktmanagement";""
+4;"502030";"502030";"Projektmanagement";""
+4;"502031";"502031";"Public Management";""
+4;"502032";"502032";"Qualit�tsmanagement";""
+4;"502033";"502033";"Rechnungswesen";""
+4;"502034";"502034";"Regulierungs�konomik";""
+4;"502035";"502035";"Revisions- und Treuhandwesen";""
+4;"502036";"502036";"Risikomanagement";""
+4;"502037";"502037";"Standortplanung";""
+4;"502038";"502038";"Steuerlehre";""
+4;"502039";"502039";"Strukturpolitik";""
+4;"502040";"502040";"Tourismusforschung";""
+4;"502041";"502041";"Umweltmanagement";""
+4;"502042";"502042";"Umwelt�konomie";""
+4;"502043";"502043";"Unternehmensberatung";""
+4;"502044";"502044";"Unternehmensf�hrung";""
+4;"502045";"502045";"Verhaltens�konomie";""
+4;"502046";"502046";"Volkswirtschaftspolitik";""
+4;"502047";"502047";"Volkswirtschaftstheorie";""
+4;"502048";"502048";"Wirtschaftsethik";""
+4;"502049";"502049";"Wirtschaftsgeschichte";""
+4;"502050";"502050";"Wirtschaftsinformatik";""
+4;"502051";"502051";"Wirtschaftsstatistik";""
+4;"502052";"502052";"Betriebswirtschaftslehre";""
+4;"502053";"502053";"Volkswirtschaftslehre";""
+4;"502054";"502054";"Entrepreneurship";""
+4;"502055";"502055";"Verteilungs�konomie";""
+4;"502056";"502056";"Wirtschaftspr�fung";""
+4;"502057";"502057";"Experimentelle �konomie";""
+4;"502058";"502058";"Digitale Transformation";""
+4;"502059";"502059";"Kreislaufwirtschaft";""
+2;"503";"503";"Erziehungswissenschaften";""
+3;"5030";"5030";"Erziehungswissenschaften";""
+4;"503001";"503001";"Allgemeine P�dagogik";""
+4;"503002";"503002";"Angewandte P�dagogik";""
+4;"503003";"503003";"Begabungsforschung";""
+4;"503004";"503004";"Berufskunde";""
+4;"503005";"503005";"Berufsp�dagogik";""
+4;"503006";"503006";"Bildungsforschung";""
+4;"503007";"503007";"Didaktik";""
+4;"503008";"503008";"E-Learning";""
+4;"503009";"503009";"Erwachsenenbildung";""
+4;"503010";"503010";"Fachdidaktik Agrarwissenschaften, Veterin�rmedizin";""
+4;"503011";"503011";"Fachdidaktik Geisteswissenschaften";""
+4;"503012";"503012";"Fachdidaktik Humanmedizin, Gesundheitswissenschaften";""
+4;"503013";"503013";"Fachdidaktik Naturwissenschaften";""
+4;"503014";"503014";"Fachdidaktik Sozialwissenschaften";""
+4;"503015";"503015";"Fachdidaktik Technische Wissenschaften";""
+4;"503016";"503016";"Freizeitp�dagogik";""
+4;"503017";"503017";"Geschichte der P�dagogik";""
+4;"503018";"503018";"Hochschuldidaktik";""
+4;"503019";"503019";"Kunstp�dagogik";""
+4;"503020";"503020";"Medienp�dagogik";""
+4;"503021";"503021";"Museumsp�dagogik";""
+4;"503022";"503022";"Musikp�dagogik";""
+4;"503023";"503023";"Qualifikationsforschung";""
+4;"503024";"503024";"Religionsp�dagogik";""
+4;"503025";"503025";"Schulp�dagogik";""
+4;"503026";"503026";"Sonder- und Heilp�dagogik";""
+4;"503027";"503027";"Sozialp�dagogik";""
+4;"503028";"503028";"Sportp�dagogik";""
+4;"503029";"503029";"Sprachlehrforschung";""
+4;"503030";"503030";"Wirtschaftsp�dagogik";""
+4;"503031";"503031";"Elementarp�dagogik";""
+4;"503032";"503032";"Lehr- und Lernforschung";""
+4;"503033";"503033";"Politische Bildung";""
+4;"503034";"503034";"Inklusive P�dagogik";""
+4;"503035";"503035";"Sexualp�dagogik";""
+4;"503036";"503036";"Stimmforschung";""
+2;"504";"504";"Soziologie";""
+3;"5040";"5040";"Soziologie";""
+4;"504001";"504001";"Allgemeine Soziologie";""
+4;"504002";"504002";"Arbeitssoziologie";""
+4;"504003";"504003";"Armut und soziale Ausgrenzung";""
+4;"504004";"504004";"Bev�lkerungsstatistik";""
+4;"504005";"504005";"Bildungssoziologie";""
+4;"504006";"504006";"Demographie";""
+4;"504007";"504007";"Empirische Sozialforschung";""
+4;"504008";"504008";"Ethnographie";""
+4;"504009";"504009";"Ethnologie";""
+4;"504010";"504010";"Europ�ische Ethnologie";""
+4;"504011";"504011";"Familienforschung";""
+4;"504012";"504012";"Freizeitforschung";""
+4;"504013";"504013";"Gender Mainstreaming";""
+4;"504014";"504014";"Gender Studies";""
+4;"504015";"504015";"Geschichte der Soziologie";""
+4;"504016";"504016";"Jugendsoziologie";""
+4;"504017";"504017";"Kulturanthropologie";""
+4;"504018";"504018";"Kultursoziologie";""
+4;"504019";"504019";"Mediensoziologie";""
+4;"504020";"504020";"Medizinsoziologie";""
+4;"504021";"504021";"Migrationsforschung";""
+4;"504022";"504022";"Musiksoziologie";""
+4;"504023";"504023";"Politische Soziologie";""
+4;"504024";"504024";"Rechtssoziologie";""
+4;"504025";"504025";"Religionssoziologie";""
+4;"504026";"504026";"Sozialgeschichte";""
+4;"504027";"504027";"Spezielle Soziologie";""
+4;"504028";"504028";"Techniksoziologie";""
+4;"504029";"504029";"Umweltsoziologie";""
+4;"504030";"504030";"Wirtschaftssoziologie";""
+4;"504031";"504031";"Diversit�tsforschung";""
+2;"505";"505";"Rechtswissenschaften";""
+3;"5050";"5050";"Rechtswissenschaften";""
+4;"505001";"505001";"Arbeitsrecht";""
+4;"505002";"505002";"Datenschutz";""
+4;"505003";"505003";"Europarecht";""
+4;"505004";"505004";"Finanzrecht";""
+4;"505005";"505005";"Geistiges Eigentum";""
+4;"505006";"505006";"Grundrechte";""
+4;"505007";"505007";"Insolvenzrecht";""
+4;"505008";"505008";"Kriminologie";""
+4;"505009";"505009";"Mediation";""
+4;"505010";"505010";"Medizinrecht";""
+4;"505011";"505011";"Menschenrechte";""
+4;"505012";"505012";"�ffentliches Recht";""
+4;"505013";"505013";"Privatrecht";""
+4;"505014";"505014";"Rechtsgeschichte";""
+4;"505015";"505015";"Rechtsinformatik";""
+4;"505016";"505016";"Rechtstheorie";""
+4;"505017";"505017";"Rechtsvergleichung";""
+4;"505018";"505018";"Religionsrecht";""
+4;"505019";"505019";"R�misches Recht";""
+4;"505020";"505020";"Sozialrecht";""
+4;"505021";"505021";"Staatsrecht";""
+4;"505022";"505022";"Steuerrecht";""
+4;"505023";"505023";"Strafprozessrecht";""
+4;"505024";"505024";"Strafrecht";""
+4;"505025";"505025";"Unternehmensrecht";""
+4;"505026";"505026";"Verfassungsrecht";""
+4;"505027";"505027";"Verwaltungslehre";""
+4;"505028";"505028";"Verwaltungsrecht";""
+4;"505029";"505029";"V�lkerrecht";""
+4;"505030";"505030";"Wirtschaftsrecht";""
+4;"505031";"505031";"Zivilrecht";""
+4;"505032";"505032";"Zivilverfahrensrecht";""
+4;"505033";"505033";"Antidiskriminierungsrecht";""
+4;"505034";"505034";"Bank- und Kapitalmarktrecht";""
+4;"505035";"505035";"Baurecht";""
+4;"505036";"505036";"Energierecht";""
+4;"505037";"505037";"Familien- und Erbrecht";""
+4;"505038";"505038";"Marken- und Patentrecht";""
+4;"505039";"505039";"Medienrecht";""
+4;"505040";"505040";"Sportrecht";""
+4;"505041";"505041";"Umweltrecht";""
+4;"505042";"505042";"Verkehrsrecht";""
+4;"505043";"505043";"Wettbewerbs- und Kartellrecht";""
+4;"505044";"505044";"Gesellschaftsrecht";""
+4;"505045";"505045";"Hochschulrecht";""
+4;"505046";"505046";"Luft- und Weltraumrecht";""
+4;"505047";"505047";"Allgemeines Verfahrensrecht";""
+4;"505048";"505048";"Sachenrecht";""
+4;"505049";"505049";"Schiedsverfahrensrecht";""
+4;"505050";"505050";"Tierschutzrecht";""
+4;"505051";"505051";"Rechtsethik";""
+4;"505052";"505052";"Versicherungsrecht";""
+4;"505053";"505053";"Verwaltungsverfahrensrecht";""
+2;"506";"506";"Politikwissenschaften";""
+3;"5060";"5060";"Politikwissenschaften";""
+4;"506001";"506001";"Allgemeine Staatslehre";""
+4;"506002";"506002";"E-Government";""
+4;"506003";"506003";"Entwicklungspolitik";""
+4;"506004";"506004";"Europ�ische Integration";""
+4;"506005";"506005";"Forschungspolitik";""
+4;"506006";"506006";"Friedensforschung";""
+4;"506007";"506007";"Internationale Beziehungen";""
+4;"506008";"506008";"Konfliktforschung";""
+4;"506009";"506009";"Organisationstheorie";""
+4;"506010";"506010";"Politikfeldanalyse";""
+4;"506011";"506011";"Politische Geschichte";""
+4;"506012";"506012";"Politische Systeme";""
+4;"506013";"506013";"Politische Theorie";""
+4;"506014";"506014";"Vergleichende Politikwissenschaft";""
+4;"506015";"506015";"Asylpolitik";""
+4;"506016";"506016";"Migrationspolitik";""
+4;"506017";"506017";"Wissenschafts- und Technologiepolitik";""
+4;"506018";"506018";"Terrorismusforschung";""
+2;"507";"507";"Humangeographie, Regionale Geographie, Raumplanung";""
+3;"5070";"5070";"Humangeographie, Regionale Geographie, Raumplanung";""
+4;"507001";"507001";"Angewandte Geographie";""
+4;"507002";"507002";"Bev�lkerungsgeographie";""
+4;"507003";"507003";"Geoinformatik";""
+4;"507004";"507004";"Geschichte der Geographie";""
+4;"507005";"507005";"Kulturgeographie";""
+4;"507006";"507006";"Kulturlandschaftsforschung";""
+4;"507007";"507007";"Landesplanung";""
+4;"507008";"507008";"Landschaftsplanung";""
+4;"507009";"507009";"�rtliche Raumplanung";""
+4;"507010";"507010";"Politische Geographie";""
+4;"507011";"507011";"Raumforschung";""
+4;"507012";"507012";"Raumordnung";""
+4;"507013";"507013";"Regionale Geographie";""
+4;"507014";"507014";"Regionalentwicklung";""
+4;"507015";"507015";"Regionalforschung";""
+4;"507016";"507016";"Regional�konomie";""
+4;"507017";"507017";"Sozialgeographie";""
+4;"507018";"507018";"Stadt-, Dorferneuerung";""
+4;"507019";"507019";"Stadtentwicklungsplanung";""
+4;"507020";"507020";"Stadtforschung";""
+4;"507021";"507021";"Stadtgeschichte";""
+4;"507022";"507022";"Stadtplanung";""
+4;"507023";"507023";"Standortentwicklung";""
+4;"507024";"507024";"Umweltpolitik";""
+4;"507025";"507025";"Verkehrsplanung";""
+4;"507026";"507026";"Wirtschaftsgeographie";""
+4;"507027";"507027";"Nachhaltige Stadtentwicklung";""
+4;"507028";"507028";"Kartographie";""
+4;"507029";"507029";"Stadt�kologie";""
+2;"508";"508";"Medien- und Kommunikationswissenschaften";""
+3;"5080";"5080";"Medien- und Kommunikationswissenschaften";""
+4;"508001";"508001";"Archivwesen";""
+4;"508002";"508002";"Audiovisuelle Medien";""
+4;"508003";"508003";"Bibliothekswissenschaft";""
+4;"508004";"508004";"Interkulturelle Kommunikation";""
+4;"508005";"508005";"Journalistik";""
+4;"508006";"508006";"Kommunikationstheorie";""
+4;"508007";"508007";"Kommunikationswissenschaft";""
+4;"508008";"508008";"Medienanalyse";""
+4;"508009";"508009";"Medienforschung";""
+4;"508010";"508010";"Mediengeschichte";""
+4;"508011";"508011";"Medientheorie";""
+4;"508012";"508012";"Medienwirkungsforschung";""
+4;"508013";"508013";"Public Relations";""
+4;"508014";"508014";"Publizistik";""
+4;"508015";"508015";"Wirtschaftskommunikation";""
+4;"508016";"508016";"Wissenschaftskommunikation";""
+4;"508017";"508017";"Organisationskommunikation";""
+4;"508018";"508018";"Rezeptionsforschung";""
+4;"508019";"508019";"Medienethik";""
+4;"508020";"508020";"Politische Kommunikation";""
+4;"508021";"508021";"Medienwissenschaft";""
+2;"509";"509";"Andere Sozialwissenschaften";""
+3;"5090";"5090";"Andere Sozialwissenschaften";""
+4;"509001";"509001";"Aktionsforschung";""
+4;"509002";"509002";"Disability Studies";""
+4;"509003";"509003";"Entwicklungszusammenarbeit";""
+4;"509004";"509004";"Evaluationsforschung";""
+4;"509005";"509005";"Gerontologie";""
+4;"509006";"509006";"Geschichte der Sozialwissenschaften";""
+4;"509007";"509007";"Graffiti-Forschung";""
+4;"509008";"509008";"Kinderforschung, Jugendforschung";""
+4;"509009";"509009";"Milit�rstrategische Forschung";""
+4;"509010";"509010";"Minderheitenforschung";""
+4;"509011";"509011";"Organisationsentwicklung";""
+4;"509012";"509012";"Sozialpolitik";""
+4;"509013";"509013";"Sozialstatistik";""
+4;"509014";"509014";"Spielforschung";""
+4;"509015";"509015";"Unfallforschung";""
+4;"509016";"509016";"Verkehrswirtschaft";""
+4;"509017";"509017";"Wissenschaftsforschung";""
+4;"509018";"509018";"Wissensmanagement";""
+4;"509019";"509019";"Zukunftsforschung";""
+4;"509020";"509020";"Milit�rethik";""
+4;"509021";"509021";"Milit�rwissenschaft";""
+4;"509022";"509022";"Polemologie";""
+4;"509023";"509023";"Entwicklungsforschung";""
+4;"509024";"509024";"Sicherheitsforschung";""
+4;"509025";"509025";"Technikforschung";""
+4;"509026";"509026";"Digitalisierungsforschung";""
+1;"6";"6";"GEISTESWISSENSCHAFTEN";""
+2;"601";"601";"Geschichte, Arch�ologie";""
+3;"6010";"6010";"Geschichte, Arch�ologie";""
+4;"601001";"601001";"Alte Geschichte";""
+4;"601002";"601002";"Altertumskunde";""
+4;"601003";"601003";"Arch�ologie";""
+4;"601004";"601004";"Epigraphik";""
+4;"601005";"601005";"Europ�ische Geschichte";""
+4;"601006";"601006";"Fr�hgeschichte";""
+4;"601007";"601007";"Geschichtliche Landeskunde";""
+4;"601008";"601008";"Geschichtswissenschaft";""
+4;"601009";"601009";"Historische Hilfswissenschaften";""
+4;"601010";"601010";"Klassische Arch�ologie";""
+4;"601011";"601011";"Kodikologie";""
+4;"601012";"601012";"Mittelalterliche Geschichte";""
+4;"601013";"601013";"Museologie";""
+4;"601014";"601014";"Neuere Geschichte";""
+4;"601015";"601015";"Numismatik";""
+4;"601016";"601016";"�sterreichische Geschichte";""
+4;"601017";"601017";"Pal�ographie";""
+4;"601018";"601018";"Papyrologie";""
+4;"601019";"601019";"Quellenkunde";""
+4;"601020";"601020";"Regionalgeschichte";""
+4;"601021";"601021";"Urgeschichte";""
+4;"601022";"601022";"Zeitgeschichte";""
+4;"601023";"601023";"Globalgeschichte";""
+4;"601024";"601024";"Arch�ologische Prospektion";""
+4;"601025";"601025";"Experimentelle Arch�ologie";""
+4;"601026";"601026";"Virtuelle Arch�ologie";""
+4;"601027";"601027";"W�stungsforschung";""
+4;"601028";"601028";"Geschlechtergeschichte";""
+4;"601029";"601029";"Sozialgeschichte";""
+2;"602";"602";"Sprach- und Literaturwissenschaften";""
+3;"6020";"6020";"Sprach- und Literaturwissenschaften";""
+4;"602001";"602001";"Afrikanistik";""
+4;"602002";"602002";"�gyptologie";""
+4;"602003";"602003";"Allgemeine Literaturwissenschaft";""
+4;"602004";"602004";"Allgemeine Sprachwissenschaft";""
+4;"602005";"602005";"Amerikanistik";""
+4;"602006";"602006";"Angewandte Literaturwissenschaft";""
+4;"602007";"602007";"Angewandte Sprachwissenschaft";""
+4;"602008";"602008";"Anglistik";""
+4;"602009";"602009";"Arabistik";""
+4;"602010";"602010";"Byzantinistik";""
+4;"602011";"602011";"Computerlinguistik";""
+4;"602012";"602012";"Finno-Ugristik";""
+4;"602013";"602013";"Geb�rdensprachforschung";""
+4;"602014";"602014";"Germanistik";""
+4;"602015";"602015";"Gr�zistik";""
+4;"602016";"602016";"Hermeneutik";""
+4;"602017";"602017";"Indogermanistik";""
+4;"602018";"602018";"Indologie";""
+4;"602019";"602019";"Iranistik";""
+4;"602020";"602020";"Japanologie";""
+4;"602021";"602021";"Jiddistik";""
+4;"602022";"602022";"Judaistik";""
+4;"602023";"602023";"Keltologie";""
+4;"602024";"602024";"Klassische Philologie";""
+4;"602025";"602025";"Klinische Linguistik";""
+4;"602026";"602026";"Kognitive Linguistik";""
+4;"602027";"602027";"Koptologie";""
+4;"602028";"602028";"Koreanistik";""
+4;"602029";"602029";"Latinistik";""
+4;"602030";"602030";"Lexikographie";""
+4;"602031";"602031";"Literaturgeschichte";""
+4;"602032";"602032";"Mundartforschung";""
+4;"602033";"602033";"Namenforschung";""
+4;"602034";"602034";"Nederlandistik";""
+4;"602035";"602035";"Neogr�zistik";""
+4;"602036";"602036";"Neurolinguistik";""
+4;"602037";"602037";"Orientalistik";""
+4;"602038";"602038";"Phonetik";""
+4;"602039";"602039";"Phonologie";""
+4;"602040";"602040";"Psycholinguistik";""
+4;"602041";"602041";"Rhetorik";""
+4;"602042";"602042";"Romanistik";""
+4;"602043";"602043";"Semiotik";""
+4;"602044";"602044";"Semitistik";""
+4;"602045";"602045";"Sinologie";""
+4;"602046";"602046";"Skandinavistik";""
+4;"602047";"602047";"Slawistik";""
+4;"602048";"602048";"Soziolinguistik";""
+4;"602049";"602049";"Terminologielehre";""
+4;"602050";"602050";"Tibetologie";""
+4;"602051";"602051";"Translationswissenschaft";""
+4;"602052";"602052";"Turkologie";""
+4;"602053";"602053";"Vergleichende Literaturwissenschaft";""
+4;"602054";"602054";"Vergleichende Sprachwissenschaft";""
+4;"602055";"602055";"Patholinguistik";""
+4;"602056";"602056";"Altorientalistik";""
+4;"602057";"602057";"Historische Linguistik";""
+4;"602058";"602058";"Korpuslinguistik";""
+4;"602059";"602059";"Schreibwissenschaft";""
+2;"603";"603";"Philosophie, Ethik, Religion";""
+3;"6031";"6031";"Philosophie, Ethik";""
+4;"603101";"603101";"�sthetik";""
+4;"603102";"603102";"Erkenntnistheorie";""
+4;"603103";"603103";"Ethik";""
+4;"603104";"603104";"Geschichte der Philosophie";""
+4;"603105";"603105";"Geschichtsphilosophie";""
+4;"603106";"603106";"Hermeneutik";""
+4;"603107";"603107";"Ideologiekritik";""
+4;"603108";"603108";"Kulturphilosophie";""
+4;"603109";"603109";"Logik";""
+4;"603110";"603110";"Metaphysik";""
+4;"603111";"603111";"Naturphilosophie";""
+4;"603112";"603112";"Ph�nomenologie";""
+4;"603113";"603113";"Philosophie";""
+4;"603114";"603114";"Philosophie des Geistes";""
+4;"603115";"603115";"Philosophische Anthropologie";""
+4;"603116";"603116";"Politische Philosophie";""
+4;"603117";"603117";"Rechtsphilosophie";""
+4;"603118";"603118";"Religionsphilosophie";""
+4;"603119";"603119";"Sozialphilosophie";""
+4;"603120";"603120";"Sprachphilosophie";""
+4;"603121";"603121";"Staatsphilosophie";""
+4;"603122";"603122";"Technikphilosophie";""
+4;"603123";"603123";"Wissenschaftsgeschichte";""
+4;"603124";"603124";"Wissenschaftstheorie";""
+4;"603125";"603125";"Metaethik";""
+4;"603126";"603126";"Interkulturelle Philosophie";""
+3;"6032";"6032";"Theologie";""
+4;"603201";"603201";"Alttestamentliche Bibelwissenschaft";""
+4;"603202";"603202";"Christliche Arch�ologie";""
+4;"603203";"603203";"Christliche Philosophie";""
+4;"603204";"603204";"Christliche Sozialethik";""
+4;"603205";"603205";"Dogmatische Theologie";""
+4;"603206";"603206";"Fundamentaltheologie";""
+4;"603207";"603207";"Homiletik";""
+4;"603208";"603208";"Interkulturelle Theologie";""
+4;"603209";"603209";"Kanonisches Recht";""
+4;"603210";"603210";"Katechetik";""
+4;"603211";"603211";"Kirchengeschichte";""
+4;"603212";"603212";"Liturgiewissenschaft";""
+4;"603213";"603213";"Moraltheologie";""
+4;"603214";"603214";"Neutestamentliche Bibelwissenschaft";""
+4;"603215";"603215";"�kumenische Theologie";""
+4;"603216";"603216";"Pastoralpsychologie";""
+4;"603217";"603217";"Pastoraltheologie";""
+4;"603218";"603218";"Patrologie";""
+4;"603219";"603219";"Praktische Theologie";""
+4;"603220";"603220";"Seelsorge";""
+4;"603221";"603221";"Spirituelle Theologie";""
+4;"603222";"603222";"Systematische Theologie";""
+4;"603223";"603223";"Theologische Anthropologie";""
+3;"6039";"6039";"Sonstige Religion, Religionswissenschaften";""
+4;"603901";"603901";"Atheismus";""
+4;"603902";"603902";"Buddhismus";""
+4;"603903";"603903";"Exegese";""
+4;"603904";"603904";"Hinduismus";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"J�dische Religion";""
+4;"603907";"603907";"Kirchenrecht";""
+4;"603908";"603908";"Religionsgeschichte";""
+4;"603909";"603909";"Religionswissenschaft";""
+4;"603910";"603910";"Religionspsychologie";""
+2;"604";"604";"Kunstwissenschaften";""
+3;"6040";"6040";"Kunstwissenschaften";""
+4;"604001";"604001";"Angewandte Kunst";""
+4;"604002";"604002";"Architektonische Gestaltung";""
+4;"604003";"604003";"Auff�hrungspraxis";""
+4;"604004";"604004";"Bildende Kunst";""
+4;"604005";"604005";"B�hnengestaltung";""
+4;"604006";"604006";"Darstellende Kunst";""
+4;"604007";"604007";"Denkmalpflege";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusikologie";""
+4;"604010";"604010";"Filmgestaltung";""
+4;"604011";"604011";"Filmwissenschaft";""
+4;"604012";"604012";"Fotografie";""
+4;"604013";"604013";"Gartenkunst";""
+4;"604014";"604014";"Gesang";""
+4;"604015";"604015";"Industrial Design";""
+4;"604016";"604016";"Jazzforschung";""
+4;"604017";"604017";"Kirchenmusik";""
+4;"604018";"604018";"Konservierung und Restaurierung";""
+4;"604019";"604019";"Kunstgeschichte";""
+4;"604020";"604020";"Kunsttheorie";""
+4;"604021";"604021";"Medienkunst";""
+4;"604022";"604022";"Musikgeschichte";""
+4;"604023";"604023";"Musiktheorie";""
+4;"604024";"604024";"Musikwissenschaft";""
+4;"604025";"604025";"Popularmusikforschung";""
+4;"604026";"604026";"Raumkunst";""
+4;"604027";"604027";"Szenographie";""
+4;"604028";"604028";"Tanzwissenschaft";""
+4;"604029";"604029";"Theaterwissenschaft";""
+4;"604030";"604030";"Volksmusikforschung";""
+4;"604031";"604031";"Historische Technologie";""
+4;"604032";"604032";"Instrumentalstudien";""
+4;"604033";"604033";"Komposition";""
+4;"604034";"604034";"Musiktheater";""
+4;"604035";"604035";"Orgelforschung";""
+4;"604036";"604036";"Provenienzforschung";""
+4;"604037";"604037";"Sammlungspflege";""
+4;"604038";"604038";"Digitale Kunst";""
+4;"604039";"604039";"Computermusik";""
+4;"604040";"604040";"Interpretationsforschung";""
+4;"604041";"604041";"Modedesign";""
+2;"605";"605";"Andere Geisteswissenschaften";""
+3;"6050";"6050";"Andere Geisteswissenschaften";""
+4;"605001";"605001";"Geschichte der Geisteswissenschaften";""
+4;"605002";"605002";"Kulturgeschichte";""
+4;"605003";"605003";"Kultur�konomie";""
+4;"605004";"605004";"Kulturwissenschaft";""
+4;"605005";"605005";"Publikumsforschung";""
+4;"605006";"605006";"Kulturmanagement";""
+4;"605007";"605007";"Digital Humanities";""
+4;"605008";"605008";"Kulturerbe";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_EN_CTI_20171007_030427.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_EN_CTI_20171007_030427.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5148017ba5cdfe9b5776ba4aad295b0706c3a38b
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_EN_CTI_20171007_030427.txt
@@ -0,0 +1,1420 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURAL SCIENCES";""
+2;"101";"101";"Mathematics";""
+3;"1010";"1010";"Mathematics";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Applied geometry";""
+4;"101004";"101004";"Biomathematics";""
+4;"101005";"101005";"Computer algebra";""
+4;"101006";"101006";"Differential geometry";""
+4;"101007";"101007";"Financial mathematics";""
+4;"101008";"101008";"Complex analysis";""
+4;"101009";"101009";"Geometry";""
+4;"101010";"101010";"History of mathematics";""
+4;"101011";"101011";"Graph theory";""
+4;"101012";"101012";"Combinatorics";""
+4;"101013";"101013";"Mathematical logic";""
+4;"101014";"101014";"Numerical mathematics";""
+4;"101015";"101015";"Operations research";""
+4;"101016";"101016";"Optimisation";""
+4;"101017";"101017";"Game theory";""
+4;"101018";"101018";"Statistics";""
+4;"101019";"101019";"Stochastics";""
+4;"101020";"101020";"Technical mathematics";""
+4;"101021";"101021";"Theoretical cybernetics";""
+4;"101022";"101022";"Topology";""
+4;"101023";"101023";"Actuarial mathematics";""
+4;"101024";"101024";"Probability theory";""
+4;"101025";"101025";"Number theory";""
+4;"101026";"101026";"Time series analysis";""
+4;"101027";"101027";"Dynamical systems";""
+4;"101028";"101028";"Mathematical modelling";""
+4;"101029";"101029";"Mathematical statistics";""
+4;"101030";"101030";"Reliability theory";""
+4;"101031";"101031";"Approximation theory";""
+4;"101032";"101032";"Functional analysis";""
+2;"102";"102";"Computer Sciences";""
+3;"1020";"1020";"Computer Sciences";""
+4;"102001";"102001";"Artificial intelligence";""
+4;"102002";"102002";"Augmented reality";""
+4;"102003";"102003";"Image processing";""
+4;"102004";"102004";"Bioinformatics";""
+4;"102005";"102005";"Computer aided design (CAD)";""
+4;"102006";"102006";"Computer supported cooperative work (CSCW)";""
+4;"102007";"102007";"Computer animation";""
+4;"102008";"102008";"Computer graphics";""
+4;"102009";"102009";"Computer simulation";""
+4;"102010";"102010";"Database systems";""
+4;"102011";"102011";"Formal languages";""
+4;"102012";"102012";"History of computer science";""
+4;"102013";"102013";"Human-computer interaction";""
+4;"102014";"102014";"Information design";""
+4;"102015";"102015";"Information systems";""
+4;"102016";"102016";"IT security";""
+4;"102017";"102017";"Cryptology";""
+4;"102018";"102018";"Artificial neural networks";""
+4;"102019";"102019";"Machine learning";""
+4;"102020";"102020";"Medical informatics";""
+4;"102021";"102021";"Pervasive computing";""
+4;"102022";"102022";"Software development";""
+4;"102023";"102023";"Supercomputing";""
+4;"102024";"102024";"Usability research";""
+4;"102025";"102025";"Distributed systems";""
+4;"102026";"102026";"Virtual reality";""
+4;"102027";"102027";"Web engineering";""
+4;"102028";"102028";"Knowledge engineering";""
+4;"102029";"102029";"Practical computer science";""
+4;"102030";"102030";"Semantic technologies";""
+4;"102031";"102031";"Theoretical computer science";""
+4;"102032";"102032";"Computational intelligence";""
+4;"102033";"102033";"Data mining";""
+2;"103";"103";"Physics, Astronomy";""
+3;"1030";"1030";"Physics, Astronomy";""
+4;"103001";"103001";"Aerodynamics";""
+4;"103002";"103002";"Acoustics";""
+4;"103003";"103003";"Astronomy";""
+4;"103004";"103004";"Astrophysics";""
+4;"103005";"103005";"Atomic physics";""
+4;"103006";"103006";"Chemical physics";""
+4;"103007";"103007";"Dosimetry";""
+4;"103008";"103008";"Experimental physics";""
+4;"103009";"103009";"Solid state physics";""
+4;"103010";"103010";"History of physics";""
+4;"103011";"103011";"Semiconductor physics";""
+4;"103012";"103012";"High energy physics";""
+4;"103013";"103013";"Ion physics";""
+4;"103014";"103014";"Nuclear physics";""
+4;"103015";"103015";"Condensed matter";""
+4;"103016";"103016";"Laser physics";""
+4;"103017";"103017";"Magnetism";""
+4;"103018";"103018";"Materials physics";""
+4;"103019";"103019";"Mathematical physics";""
+4;"103020";"103020";"Surface physics";""
+4;"103021";"103021";"Optics";""
+4;"103022";"103022";"Plasma physics";""
+4;"103023";"103023";"Polymer physics";""
+4;"103024";"103024";"Quantum field theory";""
+4;"103025";"103025";"Quantum mechanics";""
+4;"103026";"103026";"Quantum optics";""
+4;"103027";"103027";"Reactor physics";""
+4;"103028";"103028";"Theory of relativity";""
+4;"103029";"103029";"Statistical physics";""
+4;"103030";"103030";"Radiation physics";""
+4;"103031";"103031";"Radiation protection";""
+4;"103032";"103032";"Fluid mechanics";""
+4;"103033";"103033";"Superconductivity";""
+4;"103034";"103034";"Particle physics";""
+4;"103035";"103035";"Theoretical mechanics";""
+4;"103036";"103036";"Theoretical physics";""
+4;"103037";"103037";"Environmental physics";""
+4;"103038";"103038";"Space exploration";""
+4;"103039";"103039";"Aerosol physics";""
+4;"103040";"103040";"Photonics";""
+4;"103041";"103041";"Astroparticle physics";""
+4;"103042";"103042";"Electron microscopy";""
+2;"104";"104";"Chemistry";""
+3;"1040";"1040";"Chemistry";""
+4;"104001";"104001";"General chemistry";""
+4;"104002";"104002";"Analytical chemistry";""
+4;"104003";"104003";"Inorganic chemistry";""
+4;"104004";"104004";"Chemical biology";""
+4;"104005";"104005";"Electrochemistry";""
+4;"104006";"104006";"Solid state chemistry";""
+4;"104007";"104007";"History of chemistry";""
+4;"104008";"104008";"Catalysis";""
+4;"104009";"104009";"Food chemistry";""
+4;"104010";"104010";"Macromolecular chemistry";""
+4;"104011";"104011";"Materials chemistry";""
+4;"104012";"104012";"Microanalysis";""
+4;"104013";"104013";"Natural product chemistry";""
+4;"104014";"104014";"Surface chemistry";""
+4;"104015";"104015";"Organic chemistry";""
+4;"104016";"104016";"Photochemistry";""
+4;"104017";"104017";"Physical chemistry";""
+4;"104018";"104018";"Polymer chemistry";""
+4;"104019";"104019";"Polymer sciences";""
+4;"104020";"104020";"Radiochemistry";""
+4;"104021";"104021";"Structural chemistry";""
+4;"104022";"104022";"Theoretical chemistry";""
+4;"104023";"104023";"Environmental chemistry";""
+4;"104024";"104024";"X-ray structural analysis";""
+4;"104025";"104025";"Single-molecule chemistry";""
+4;"104026";"104026";"Spectroscopy";""
+2;"105";"105";"Geosciences";""
+3;"1051";"1051";"Geology, Mineralogy";""
+4;"105101";"105101";"General geology";""
+4;"105102";"105102";"General geophysics";""
+4;"105103";"105103";"Petroleum geology";""
+4;"105104";"105104";"Erosion";""
+4;"105105";"105105";"Geochemistry";""
+4;"105106";"105106";"Geodynamics";""
+4;"105107";"105107";"Geoelectrics";""
+4;"105108";"105108";"Geostatistics";""
+4;"105109";"105109";"Geothermics";""
+4;"105110";"105110";"History of geology";""
+4;"105111";"105111";"Gravimetry";""
+4;"105112";"105112";"Historical geology";""
+4;"105113";"105113";"Crystallography";""
+4;"105114";"105114";"Cultural geology";""
+4;"105115";"105115";"Magnetics";""
+4;"105116";"105116";"Mineralogy";""
+4;"105117";"105117";"Palaeobotany";""
+4;"105118";"105118";"Palaeontology";""
+4;"105119";"105119";"Petrography";""
+4;"105120";"105120";"Petrology";""
+4;"105121";"105121";"Sedimentology";""
+4;"105122";"105122";"Seismic";""
+4;"105123";"105123";"Stratigraphy";""
+4;"105124";"105124";"Tectonics";""
+4;"105125";"105125";"Petrophysics";""
+4;"105126";"105126";"Applied geophysics";""
+4;"105127";"105127";"Geochronology";""
+4;"105128";"105128";"Geomicrobiology";""
+3;"1052";"1052";"Meteorology, Climatology";""
+4;"105201";"105201";"Aeronomy";""
+4;"105202";"105202";"Agricultural meteorology";""
+4;"105203";"105203";"Bioclimatology";""
+4;"105204";"105204";"Climatology";""
+4;"105205";"105205";"Climate change";""
+4;"105206";"105206";"Meteorology";""
+4;"105207";"105207";"Mountain meteorology";""
+4;"105208";"105208";"Atmospheric chemistry";""
+3;"1053";"1053";"Hydrology";""
+4;"105301";"105301";"Water protection";""
+4;"105302";"105302";"Hydrochemistry";""
+4;"105303";"105303";"Hydrogeology";""
+4;"105304";"105304";"Hydrology";""
+4;"105305";"105305";"Hydrometry";""
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+4;"105307";"105307";"Water quality";""
+4;"105308";"105308";"Water resources";""
+3;"1054";"1054";"Physical Geography";""
+4;"105401";"105401";"Biogeography";""
+4;"105402";"105402";"Soil geography";""
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+4;"105407";"105407";"Cartography";""
+4;"105408";"105408";"Physical geography";""
+4;"105409";"105409";"Topography";""
+3;"1059";"1059";"Interdisciplinary Geosciences not elsewhere classified";""
+4;"105901";"105901";"Glaciology";""
+4;"105902";"105902";"Natural hazards";""
+4;"105903";"105903";"Speleology";""
+4;"105904";"105904";"Environmental research";""
+4;"105905";"105905";"Environmental protection";""
+4;"105906";"105906";"Environmental geosciences";""
+4;"105907";"105907";"Polar research";""
+2;"106";"106";"Biology";""
+3;"1060";"1060";"Biology";""
+4;"106001";"106001";"General biology";""
+4;"106002";"106002";"Biochemistry";""
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+4;"106004";"106004";"Bioethics";""
+4;"106005";"106005";"Bioinformatics";""
+4;"106006";"106006";"Biophysics";""
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+4;"106009";"106009";"Chronobiology";""
+4;"106010";"106010";"Developmental biology";""
+4;"106011";"106011";"Alternatives to animal testing";""
+4;"106012";"106012";"Evolutionary research";""
+4;"106013";"106013";"Genetics";""
+4;"106014";"106014";"Genomics";""
+4;"106015";"106015";"Geobotany";""
+4;"106016";"106016";"History of biology";""
+4;"106017";"106017";"Glycobiology";""
+4;"106018";"106018";"Human biology";""
+4;"106019";"106019";"Hydrobiology";""
+4;"106020";"106020";"Limnology";""
+4;"106021";"106021";"Marine biology";""
+4;"106022";"106022";"Microbiology";""
+4;"106023";"106023";"Molecular biology";""
+4;"106024";"106024";"Mycology";""
+4;"106025";"106025";"Neurobiology";""
+4;"106026";"106026";"Ecosystem research";""
+4;"106027";"106027";"Ecotoxicology";""
+4;"106028";"106028";"Plant anatomy";""
+4;"106029";"106029";"Plant morphology";""
+4;"106030";"106030";"Plant ecology";""
+4;"106031";"106031";"Plant physiology";""
+4;"106032";"106032";"Photobiology";""
+4;"106033";"106033";"Phylogeny";""
+4;"106034";"106034";"Phytochemistry";""
+4;"106035";"106035";"Phytogeography";""
+4;"106036";"106036";"Population genetics";""
+4;"106037";"106037";"Proteomics";""
+4;"106038";"106038";"Reproductive biology";""
+4;"106039";"106039";"Stem cell research";""
+4;"106040";"106040";"Radiation biology";""
+4;"106041";"106041";"Structural biology";""
+4;"106042";"106042";"Systematic botany";""
+4;"106043";"106043";"Systematic zoology";""
+4;"106044";"106044";"Systems biology";""
+4;"106045";"106045";"Theoretical biology";""
+4;"106046";"106046";"Animal anatomy";""
+4;"106047";"106047";"Animal ecology";""
+4;"106048";"106048";"Animal physiology";""
+4;"106049";"106049";"Ultrastructure research";""
+4;"106050";"106050";"Vegetation science";""
+4;"106051";"106051";"Behavioural biology";""
+4;"106052";"106052";"Cell biology";""
+4;"106053";"106053";"Zoogeography";""
+4;"106054";"106054";"Zoology";""
+4;"106055";"106055";"Aerobiology";""
+4;"106056";"106056";"Biological anthropology";""
+4;"106057";"106057";"Metabolomics";""
+2;"107";"107";"Other Natural Sciences";""
+3;"1070";"1070";"Other Natural Sciences";""
+4;"107001";"107001";"Archaeometry";""
+4;"107002";"107002";"Bionics";""
+4;"107003";"107003";"History of natural sciences";""
+4;"107004";"107004";"Human ecology";""
+4;"107005";"107005";"Food testing";""
+4;"107006";"107006";"Nature conservation";""
+4;"107007";"107007";"Risk research";""
+1;"2";"2";"TECHNICAL SCIENCES";""
+2;"201";"201";"Construction Engineering";""
+3;"2011";"2011";"Civil Engineering";""
+4;"201101";"201101";"Construction operation";""
+4;"201102";"201102";"Structural dynamics";""
+4;"201103";"201103";"Building physics";""
+4;"201104";"201104";"Structural analysis";""
+4;"201105";"201105";"Construction material practice";""
+4;"201106";"201106";"Structural engineering";""
+4;"201107";"201107";"Endurance strength";""
+4;"201108";"201108";"Fracture mechanics";""
+4;"201109";"201109";"Bridge construction";""
+4;"201110";"201110";"Strength of materials";""
+4;"201111";"201111";"River engineering";""
+4;"201112";"201112";"Building construction";""
+4;"201113";"201113";"Timber engineering";""
+4;"201114";"201114";"Industrial building";""
+4;"201115";"201115";"Structural hydraulic engineering";""
+4;"201116";"201116";"Agricultural civil engineering";""
+4;"201117";"201117";"Lightweight design";""
+4;"201118";"201118";"Urban water supply and sanitation";""
+4;"201119";"201119";"Steel construction";""
+4;"201120";"201120";"Reinforced concrete construction";""
+4;"201121";"201121";"Road construction";""
+4;"201122";"201122";"Technical flood protection";""
+4;"201123";"201123";"Underground engineering";""
+4;"201124";"201124";"Structural design";""
+4;"201125";"201125";"Hydraulic engineering";""
+4;"201126";"201126";"Hydropower plant construction";""
+4;"201127";"201127";"Torrent and avalanche control";""
+4;"201128";"201128";"Sustainable building";""
+4;"201129";"201129";"Earthquake engineering";""
+4;"201130";"201130";"Structural glass construction";""
+3;"2012";"2012";"Architecture";""
+4;"201201";"201201";"History of architecture";""
+4;"201202";"201202";"Architectural modelling";""
+4;"201203";"201203";"Architectural theory";""
+4;"201204";"201204";"Barrier-free building";""
+4;"201205";"201205";"Building research";""
+4;"201206";"201206";"Designing";""
+4;"201207";"201207";"Building typology";""
+4;"201208";"201208";"Industrial architecture";""
+4;"201209";"201209";"Interior design";""
+4;"201210";"201210";"Landscape architecture";""
+4;"201211";"201211";"Solar architecture";""
+4;"201212";"201212";"Urban design";""
+4;"201213";"201213";"Housing";""
+4;"201214";"201214";"Experimental architecture";""
+4;"201215";"201215";"Building cultural heritage";""
+3;"2013";"2013";"Transportation";""
+4;"201301";"201301";"Railway construction";""
+4;"201302";"201302";"Railway engineering";""
+4;"201303";"201303";"Ropeways";""
+4;"201304";"201304";"Road construction";""
+4;"201305";"201305";"Traffic engineering";""
+4;"201306";"201306";"Traffic telematics";""
+4;"201307";"201307";"Transport economics";""
+3;"2019";"2019";"Construction Engineering not elsewhere classified";""
+4;"201901";"201901";"Old building renovation";""
+4;"201902";"201902";"Building ecology";""
+4;"201903";"201903";"Soil bioengineering";""
+4;"201904";"201904";"Vegetation technology";""
+4;"201905";"201905";"Building within existing structures";""
+4;"201906";"201906";"Building-integrated vegetation";""
+2;"202";"202";"Electrical Engineering, Electronics, Information Engineering";""
+3;"2020";"2020";"Electrical Engineering, Electronics, Information Engineering";""
+4;"202001";"202001";"Audio technology";""
+4;"202002";"202002";"Audiovisual media";""
+4;"202003";"202003";"Automation";""
+4;"202004";"202004";"Brain-computer interface";""
+4;"202005";"202005";"Computer architecture";""
+4;"202006";"202006";"Computer hardware";""
+4;"202007";"202007";"Computer integrated manufacturing (CIM)";""
+4;"202008";"202008";"Electrical power systems";""
+4;"202009";"202009";"Electrical drive engineering";""
+4;"202010";"202010";"Electric power engineering";""
+4;"202011";"202011";"Electrical machines";""
+4;"202012";"202012";"Electrical measurement technology";""
+4;"202013";"202013";"Electromagnetic compatibility";""
+4;"202014";"202014";"Electromagnetism";""
+4;"202015";"202015";"Electronics";""
+4;"202016";"202016";"Electrical engineering";""
+4;"202017";"202017";"Embedded systems";""
+4;"202018";"202018";"Semiconductor electronics";""
+4;"202019";"202019";"High frequency engineering";""
+4;"202020";"202020";"High voltage engineering";""
+4;"202021";"202021";"Industrial electronics";""
+4;"202022";"202022";"Information technology";""
+4;"202023";"202023";"Integrated circuits";""
+4;"202024";"202024";"Laser technology";""
+4;"202025";"202025";"Power electronics";""
+4;"202026";"202026";"Light technology";""
+4;"202027";"202027";"Mechatronics";""
+4;"202028";"202028";"Microelectronics";""
+4;"202029";"202029";"Microwave engineering";""
+4;"202030";"202030";"Communication engineering";""
+4;"202031";"202031";"Network engineering";""
+4;"202032";"202032";"Photovoltaics";""
+4;"202033";"202033";"Radar technology";""
+4;"202034";"202034";"Control engineering";""
+4;"202035";"202035";"Robotics";""
+4;"202036";"202036";"Sensor systems";""
+4;"202037";"202037";"Signal processing";""
+4;"202038";"202038";"Telecommunications";""
+4;"202039";"202039";"Theoretical electrical engineering";""
+4;"202040";"202040";"Transmission technology";""
+4;"202041";"202041";"Computer engineering";""
+4;"202042";"202042";"Optical communication engineering";""
+2;"203";"203";"Mechanical Engineering";""
+3;"2030";"2030";"Mechanical Engineering";""
+4;"203001";"203001";"Apparatus engineering";""
+4;"203002";"203002";"Endurance strength";""
+4;"203003";"203003";"Fracture mechanics";""
+4;"203004";"203004";"Automotive technology";""
+4;"203005";"203005";"Precision engineering";""
+4;"203006";"203006";"Production engineering";""
+4;"203007";"203007";"Strength of materials";""
+4;"203008";"203008";"Conveyor technology";""
+4;"203009";"203009";"Refrigeration engineering";""
+4;"203010";"203010";"Air conditioning technology";""
+4;"203011";"203011";"Lightweight design";""
+4;"203012";"203012";"Aerospace engineering";""
+4;"203013";"203013";"Mechanical engineering";""
+4;"203014";"203014";"Machine dynamics";""
+4;"203015";"203015";"Mechatronics";""
+4;"203016";"203016";"Measurement engineering";""
+4;"203017";"203017";"Micromechanics";""
+4;"203018";"203018";"Heavy machinery construction";""
+4;"203019";"203019";"Reactor technology";""
+4;"203020";"203020";"Welding engineering";""
+4;"203021";"203021";"Fluid-flow machinery";""
+4;"203022";"203022";"Technical mechanics";""
+4;"203023";"203023";"Thermal turbomachinery";""
+4;"203024";"203024";"Thermodynamics";""
+4;"203025";"203025";"Tribology";""
+4;"203026";"203026";"Forming";""
+4;"203027";"203027";"Internal combustion engines";""
+4;"203028";"203028";"Thermal engineering";""
+4;"203029";"203029";"Tool construction";""
+4;"203030";"203030";"Fuel cell technology";""
+4;"203031";"203031";"Engineering design";""
+4;"203032";"203032";"Additive manufacturing";""
+4;"203033";"203033";"Hydraulic drive technology";""
+4;"203034";"203034";"Continuum mechanics";""
+4;"203035";"203035";"Thermal processing technology";""
+4;"203036";"203036";"Weapons and munitions technology";""
+2;"204";"204";"Chemical Process Engineering";""
+3;"2040";"2040";"Chemical Process Engineering";""
+4;"204001";"204001";"Inorganic chemical technology";""
+4;"204002";"204002";"Chemical reaction engineering";""
+4;"204003";"204003";"Chemical process engineering";""
+4;"204004";"204004";"Organic chemical technology";""
+4;"204005";"204005";"Refining technology";""
+4;"204006";"204006";"Mechanical process engineering";""
+4;"204007";"204007";"Thermal process engineering";""
+2;"205";"205";"Materials Engineering";""
+3;"2050";"2050";"Materials Engineering";""
+4;"205001";"205001";"Building materials testing";""
+4;"205002";"205002";"Coating technology";""
+4;"205003";"205003";"Refractories";""
+4;"205004";"205004";"Functional materials";""
+4;"205005";"205005";"Ceramics engineering";""
+4;"205006";"205006";"Wood research";""
+4;"205007";"205007";"Wood preservatives";""
+4;"205008";"205008";"Wood technology";""
+4;"205009";"205009";"Ceramic materials";""
+4;"205010";"205010";"Anticorrosives";""
+4;"205011";"205011";"Polymer engineering";""
+4;"205012";"205012";"Polymer processing";""
+4;"205013";"205013";"Failure analysis";""
+4;"205014";"205014";"Textile technology";""
+4;"205015";"205015";"Composites";""
+4;"205016";"205016";"Materials testing";""
+4;"205017";"205017";"Materials engineering";""
+4;"205018";"205018";"Pulp and paper technology";""
+4;"205019";"205019";"Material sciences";""
+2;"206";"206";"Medical Engineering";""
+3;"2060";"2060";"Medical Engineering";""
+4;"206001";"206001";"Biomedical engineering";""
+4;"206002";"206002";"Electro-medical engineering";""
+4;"206003";"206003";"Medical physics";""
+4;"206004";"206004";"Medical engineering";""
+4;"206005";"206005";"Prosthetics";""
+4;"206006";"206006";"Rehabilitation technology";""
+2;"207";"207";"Environmental Engineering, Applied Geosciences";""
+3;"2071";"2071";"Environmental Engineering";""
+4;"207101";"207101";"Waste engineering";""
+4;"207102";"207102";"Exhaust air purification";""
+4;"207103";"207103";"Wastewater treatment";""
+4;"207104";"207104";"Remediation of contaminated sites";""
+4;"207105";"207105";"Landfill technology";""
+4;"207106";"207106";"Renewable energy";""
+4;"207107";"207107";"Air pollution control";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Pollutant emission";""
+4;"207110";"207110";"Technical environmental protection";""
+4;"207111";"207111";"Environmental engineering";""
+4;"207112";"207112";"Water treatment";""
+4;"207113";"207113";"Water infrastructure";""
+4;"207114";"207114";"Water management";""
+3;"2072";"2072";"Engineering Geology, Geotechnics";""
+4;"207201";"207201";"Soil mechanics";""
+4;"207202";"207202";"Earthworks";""
+4;"207203";"207203";"Rock mechanics";""
+4;"207204";"207204";"Geotechnics";""
+4;"207205";"207205";"Foundation engineering";""
+4;"207206";"207206";"Engineering geology";""
+4;"207207";"207207";"Tunnelling";""
+4;"207208";"207208";"Tunnel ventilation";""
+3;"2073";"2073";"Mining, Petroleum Engineering";""
+4;"207301";"207301";"Processing of mineral raw materials";""
+4;"207302";"207302";"Mining engineering";""
+4;"207303";"207303";"Mining damage";""
+4;"207304";"207304";"Natural gas production";""
+4;"207305";"207305";"Natural gas engineering";""
+4;"207306";"207306";"Petroleum geology";""
+4;"207307";"207307";"Petroleum production";""
+4;"207308";"207308";"Petroleum engineering";""
+4;"207309";"207309";"History of mining";""
+4;"207310";"207310";"Extraction of mineral raw materials";""
+4;"207311";"207311";"Economic geology";""
+4;"207312";"207312";"Mine surveying";""
+4;"207313";"207313";"Drilling engineering";""
+4;"207314";"207314";"Underground mining";""
+3;"2074";"2074";"Geodesy, Surveying";""
+4;"207401";"207401";"3D-surveying";""
+4;"207402";"207402";"Remote sensing";""
+4;"207403";"207403";"Geodesy";""
+4;"207404";"207404";"Geoinformatics";""
+4;"207405";"207405";"Engineering geodesy";""
+4;"207406";"207406";"Cartography";""
+4;"207407";"207407";"Cadastral surveying";""
+4;"207408";"207408";"Land surveying";""
+4;"207409";"207409";"Navigation systems";""
+4;"207410";"207410";"Photogrammetry";""
+4;"207411";"207411";"Satellite geodesy";""
+4;"207412";"207412";"Satellite-based coordinate measuring";""
+4;"207413";"207413";"Surveying";""
+3;"2079";"2079";"Environmental Engineering, Applied Geosciences not elsewhere classified";""
+4;"207901";"207901";"Offshore technology";""
+2;"208";"208";"Environmental Biotechnology";""
+3;"2080";"2080";"Environmental Biotechnology";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Environmental biotechnology related ethics";""
+4;"208003";"208003";"Environmental biotechnology";""
+2;"209";"209";"Industrial Biotechnology";""
+3;"2090";"2090";"Industrial Biotechnology";""
+4;"209001";"209001";"Biocatalysis";""
+4;"209002";"209002";"Bioprocess technology";""
+4;"209003";"209003";"Biofuels";""
+4;"209004";"209004";"Enzyme technology";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrial biotechnology";""
+2;"210";"210";"Nanotechnology";""
+3;"2100";"2100";"Nanotechnology";""
+4;"210001";"210001";"Nanoanalytics";""
+4;"210002";"210002";"Nanobiotechnology";""
+4;"210003";"210003";"Nanoelectronics";""
+4;"210004";"210004";"Nanomaterials";""
+4;"210005";"210005";"Nanophotonics";""
+4;"210006";"210006";"Nanotechnology";""
+2;"211";"211";"Other Technical Sciences";""
+3;"2111";"2111";"Metallurgy";""
+4;"211101";"211101";"Iron and steel metallurgy";""
+4;"211102";"211102";"Casting technology";""
+4;"211103";"211103";"Physical metallurgy";""
+4;"211104";"211104";"Metallurgy";""
+4;"211105";"211105";"Nonferrous metallurgy";""
+4;"211106";"211106";"Light metals";""
+4;"211107";"211107";"Secondary metallurgy";""
+3;"2112";"2112";"Food Technology";""
+4;"211201";"211201";"Grain technology";""
+4;"211202";"211202";"Food technology";""
+4;"211203";"211203";"Food processing engineering";""
+4;"211204";"211204";"Meat technology";""
+3;"2119";"2119";"Technical Sciences not elsewhere classified";""
+4;"211901";"211901";"Waste prevention";""
+4;"211902";"211902";"Assistive technologies";""
+4;"211903";"211903";"Science of management";""
+4;"211904";"211904";"Biomechanics";""
+4;"211905";"211905";"Bionics";""
+4;"211906";"211906";"Fire protection";""
+4;"211907";"211907";"Energy saving";""
+4;"211908";"211908";"Energy research";""
+4;"211909";"211909";"Energy technology";""
+4;"211910";"211910";"Noise protection";""
+4;"211911";"211911";"Sustainable technologies";""
+4;"211912";"211912";"Product design";""
+4;"211913";"211913";"Quality assurance";""
+4;"211914";"211914";"Risk research";""
+4;"211915";"211915";"Solar technology";""
+4;"211916";"211916";"Blasting engineering";""
+4;"211917";"211917";"Technology assessment";""
+4;"211918";"211918";"Technical history";""
+4;"211919";"211919";"Thermography";""
+4;"211920";"211920";"Packaging technology";""
+4;"211921";"211921";"Civil protection and disaster control";""
+4;"211922";"211922";"Energy storage";""
+4;"211923";"211923";"Factory planning";""
+4;"211924";"211924";"Process and plant safety";""
+1;"3";"3";"HUMAN MEDICINE, HEALTH SCIENCES";""
+2;"301";"301";"Medical-Theoretical Sciences, Pharmacy";""
+3;"3011";"3011";"Anatomy, Pathology, Physiology";""
+4;"301101";"301101";"General pathology";""
+4;"301102";"301102";"Anatomy";""
+4;"301103";"301103";"Medical diagnostics";""
+4;"301104";"301104";"Embryology";""
+4;"301105";"301105";"Experimental pathology";""
+4;"301106";"301106";"Functional anatomy";""
+4;"301107";"301107";"Histology";""
+4;"301108";"301108";"Molecular pathology";""
+4;"301109";"301109";"Pathophysiology";""
+4;"301110";"301110";"Physiology";""
+4;"301111";"301111";"Radiologic anatomy";""
+4;"301112";"301112";"Systematic anatomy";""
+4;"301113";"301113";"Topographic anatomy";""
+4;"301114";"301114";"Cell biology";""
+3;"3012";"3012";"Pharmacy, Pharmacology, Toxicology";""
+4;"301201";"301201";"Pharmaceutical and drug analysis";""
+4;"301202";"301202";"History of pharmacy";""
+4;"301203";"301203";"Pharmacodynamics";""
+4;"301204";"301204";"Pharmacognosy";""
+4;"301205";"301205";"Pharmacokinetics";""
+4;"301206";"301206";"Pharmacology";""
+4;"301207";"301207";"Pharmaceutical chemistry";""
+4;"301208";"301208";"Pharmaceutical technology";""
+4;"301209";"301209";"Pharmacy";""
+4;"301210";"301210";"Psychopharmacology";""
+4;"301211";"301211";"Toxicology";""
+4;"301212";"301212";"Clinical pharmacy";""
+4;"301213";"301213";"Drug targeting";""
+3;"3013";"3013";"Medical Biochemistry, Human Genetics";""
+4;"301301";"301301";"Human genetics";""
+4;"301302";"301302";"Lipidomics research";""
+4;"301303";"301303";"Medical biochemistry";""
+4;"301304";"301304";"Medical biology";""
+4;"301305";"301305";"Medical chemistry";""
+4;"301306";"301306";"Medical molecular biology";""
+4;"301307";"301307";"Cytogenetics";""
+3;"3014";"3014";"Neurosciences";""
+4;"301401";"301401";"Brain research";""
+4;"301402";"301402";"Neurobiology";""
+4;"301403";"301403";"Neurochemistry";""
+4;"301404";"301404";"Neuroimmunology";""
+4;"301405";"301405";"Neuropathology";""
+4;"301406";"301406";"Neuropharmacology";""
+4;"301407";"301407";"Neurophysiology";""
+4;"301408";"301408";"Psychophysiology";""
+4;"301409";"301409";"Neuroanatomy";""
+3;"3019";"3019";"Medical-Theoretical Sciences not elsewhere classified";""
+4;"301901";"301901";"Blood group serology";""
+4;"301902";"301902";"Immunology";""
+4;"301903";"301903";"Vaccine development";""
+4;"301904";"301904";"Cancer research";""
+4;"301905";"301905";"Psychoneuroimmunology";""
+4;"301906";"301906";"Serology";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Clinical Medicine";""
+3;"3020";"3020";"Clinical Medicine";""
+4;"302001";"302001";"Acupuncture";""
+4;"302002";"302002";"Allergology";""
+4;"302003";"302003";"General surgery";""
+4;"302004";"302004";"Anaesthesiology";""
+4;"302005";"302005";"Andrology";""
+4;"302006";"302006";"Angiology";""
+4;"302007";"302007";"Ophthalmology";""
+4;"302008";"302008";"Balneology";""
+4;"302009";"302009";"Chemotherapy";""
+4;"302010";"302010";"Computed tomography (CT)";""
+4;"302011";"302011";"Dermatology";""
+4;"302012";"302012";"Diabetology";""
+4;"302013";"302013";"Medical diagnostics";""
+4;"302014";"302014";"Endocrinology";""
+4;"302015";"302015";"Experimental surgery";""
+4;"302016";"302016";"Gastroenterology";""
+4;"302017";"302017";"Obstetrics";""
+4;"302018";"302018";"Vascular surgery";""
+4;"302019";"302019";"Geriatrics";""
+4;"302020";"302020";"Gerontology";""
+4;"302021";"302021";"History of psychiatry";""
+4;"302022";"302022";"Gynaecology";""
+4;"302023";"302023";"Ear, nose and throat medicine";""
+4;"302024";"302024";"Haematology";""
+4;"302025";"302025";"Hepatology";""
+4;"302026";"302026";"Heart surgery";""
+4;"302027";"302027";"Hearing, voice and language disorders";""
+4;"302028";"302028";"Hyperbaric medicine";""
+4;"302029";"302029";"Implantology";""
+4;"302030";"302030";"Internal medicine";""
+4;"302031";"302031";"Intensive care medicine";""
+4;"302032";"302032";"Cardiology";""
+4;"302033";"302033";"Jaw surgery";""
+4;"302034";"302034";"Orthodontics";""
+4;"302035";"302035";"Paediatrics and adolescent medicine";""
+4;"302036";"302036";"Child and adolescent psychiatry";""
+4;"302037";"302037";"Paediatric surgery";""
+4;"302038";"302038";"Clinical neuropsychology";""
+4;"302039";"302039";"Complementary medicine";""
+4;"302040";"302040";"Laboratory diagnostics";""
+4;"302041";"302041";"Laser surgery";""
+4;"302042";"302042";"Logopedics";""
+4;"302043";"302043";"Magnetic resonance imaging (MRI)";""
+4;"302044";"302044";"Medical physics";""
+4;"302045";"302045";"Medical psychology";""
+4;"302046";"302046";"Medical psychotherapy";""
+4;"302047";"302047";"Microsurgery";""
+4;"302048";"302048";"Minimally invasive surgery";""
+4;"302049";"302049";"Neonatology";""
+4;"302050";"302050";"Nephrology";""
+4;"302051";"302051";"Neurosurgery";""
+4;"302052";"302052";"Neurology";""
+4;"302053";"302053";"Emergency medicine";""
+4;"302054";"302054";"Nuclear medicine";""
+4;"302055";"302055";"Oncology";""
+4;"302056";"302056";"Oncological surgery";""
+4;"302057";"302057";"Orthopaedics";""
+4;"302058";"302058";"Palliative medicine";""
+4;"302059";"302059";"Periodontology";""
+4;"302060";"302060";"Perinatology";""
+4;"302061";"302061";"Physical medicine";""
+4;"302062";"302062";"Plastic and reconstructive surgery";""
+4;"302063";"302063";"Multiple trauma care";""
+4;"302064";"302064";"Prenatal diagnostics";""
+4;"302065";"302065";"Clinical psychiatry";""
+4;"302066";"302066";"Psychopathology";""
+4;"302067";"302067";"Psychosomatics";""
+4;"302068";"302068";"Pulmology";""
+4;"302069";"302069";"Radiosurgery";""
+4;"302070";"302070";"Radiodiagnostics";""
+4;"302071";"302071";"Radiology";""
+4;"302072";"302072";"Rheumatology";""
+4;"302073";"302073";"Sleep medicine";""
+4;"302074";"302074";"Pain medicine";""
+4;"302075";"302075";"Sonography";""
+4;"302076";"302076";"Social psychiatry";""
+4;"302077";"302077";"Stem cell transplantation";""
+4;"302078";"302078";"Metabolic diseases";""
+4;"302079";"302079";"Radiation protection";""
+4;"302080";"302080";"Radiotherapy";""
+4;"302081";"302081";"Thoracic surgery";""
+4;"302082";"302082";"Transfusion medicine";""
+4;"302083";"302083";"Transplant surgery";""
+4;"302084";"302084";"Transplantation medicine";""
+4;"302085";"302085";"Trauma surgery";""
+4;"302086";"302086";"Urology";""
+4;"302087";"302087";"Venereology";""
+4;"302088";"302088";"Dentistry";""
+4;"302089";"302089";"Reproductive medicine";""
+4;"302090";"302090";"General practice";""
+4;"302091";"302091";"Immunotherapy";""
+4;"302092";"302092";"Oral surgery";""
+2;"303";"303";"Health Sciences";""
+3;"3030";"3030";"Health Sciences";""
+4;"303001";"303001";"Occupational medicine";""
+4;"303002";"303002";"Bacteriology";""
+4;"303003";"303003";"Occupational diseases";""
+4;"303004";"303004";"Kinesiology";""
+4;"303005";"303005";"Sports biomechanics";""
+4;"303006";"303006";"Dietetics";""
+4;"303007";"303007";"Epidemiology";""
+4;"303008";"303008";"Ergonomics";""
+4;"303009";"303009";"Nutritional sciences";""
+4;"303010";"303010";"Health economics";""
+4;"303011";"303011";"Health policy";""
+4;"303012";"303012";"Health sciences";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Vaccine protection";""
+4;"303015";"303015";"Hospital hygiene";""
+4;"303016";"303016";"Hospital management";""
+4;"303017";"303017";"Food hygiene";""
+4;"303018";"303018";"Air hygiene";""
+4;"303019";"303019";"Medical ethics";""
+4;"303020";"303020";"Medical microbiology";""
+4;"303021";"303021";"Medical rehabilitation";""
+4;"303022";"303022";"Palliative care";""
+4;"303023";"303023";"Parasitology";""
+4;"303024";"303024";"Nursing science";""
+4;"303025";"303025";"Preventive medicine";""
+4;"303026";"303026";"Public health";""
+4;"303027";"303027";"Social medicine";""
+4;"303028";"303028";"Sport science";""
+4;"303029";"303029";"Addiction research";""
+4;"303030";"303030";"Training science";""
+4;"303031";"303031";"Tropical medicine";""
+4;"303032";"303032";"Environmental hygiene";""
+4;"303033";"303033";"Environmental medicine";""
+4;"303034";"303034";"Virology";""
+4;"303035";"303035";"Water hygiene";""
+4;"303036";"303036";"Patient safety";""
+4;"303037";"303037";"Occupational therapy";""
+4;"303038";"303038";"Physiotherapy";""
+4;"303039";"303039";"Radiological technology";""
+4;"303040";"303040";"Health services research";""
+2;"304";"304";"Medical Biotechnology";""
+3;"3040";"3040";"Medical Biotechnology";""
+4;"304001";"304001";"Medical biotechnology related ethics";""
+4;"304002";"304002";"Genetic diagnostics";""
+4;"304003";"304003";"Genetic engineering";""
+4;"304004";"304004";"Gene therapy";""
+4;"304005";"304005";"Medical biotechnology";""
+4;"304006";"304006";"Pharmacogenomics";""
+4;"304007";"304007";"Tissue engineering";""
+2;"305";"305";"Other Human Medicine, Health Sciences";""
+3;"3051";"3051";"Forensic Medicine";""
+4;"305101";"305101";"Bloodstain pattern analysis";""
+4;"305102";"305102";"DNA analysis (Forensic medicine)";""
+4;"305103";"305103";"Forensic biology";""
+4;"305104";"305104";"Forensic chemistry";""
+4;"305105";"305105";"Forensic psychiatry";""
+4;"305106";"305106";"Forensic radiology";""
+4;"305107";"305107";"Forensic toxicology";""
+4;"305108";"305108";"Forensic human medicine";""
+4;"305109";"305109";"Forensic anthropology";""
+3;"3059";"3059";"Human Medicine, Health Sciences not elsewhere classified";""
+4;"305901";"305901";"Computer-aided diagnosis and therapy";""
+4;"305902";"305902";"Gender medicine";""
+4;"305903";"305903";"History of medicine";""
+4;"305904";"305904";"Medical documentation";""
+4;"305905";"305905";"Medical informatics";""
+4;"305906";"305906";"Medical cybernetics";""
+4;"305907";"305907";"Medical statistics";""
+4;"305908";"305908";"Sports medicine";""
+4;"305909";"305909";"Stress research";""
+4;"305910";"305910";"Traffic medicine";""
+1;"4";"4";"AGRICULTURAL SCIENCES, VETERINARY MEDICINE";""
+2;"401";"401";"Agriculture and Forestry, Fishery";""
+3;"4011";"4011";"Cultivation of Land, Horticulture";""
+4;"401101";"401101";"Cultivation of land";""
+4;"401102";"401102";"Irrigation management";""
+4;"401103";"401103";"Horticulture";""
+4;"401104";"401104";"Vegetable growing";""
+4;"401105";"401105";"Grain cultivation";""
+4;"401106";"401106";"Landscape conservation";""
+4;"401107";"401107";"Agricultural engineering";""
+4;"401108";"401108";"Fruit growing";""
+4;"401109";"401109";"Organic farming";""
+4;"401110";"401110";"Plant cultivation";""
+4;"401111";"401111";"Plant nutrition";""
+4;"401112";"401112";"Plant protection";""
+4;"401113";"401113";"Plant breeding";""
+4;"401114";"401114";"Seed breeding";""
+4;"401115";"401115";"Seed cultivation";""
+4;"401116";"401116";"Special crops";""
+4;"401117";"401117";"Viticulture";""
+4;"401118";"401118";"Cultivation of ornamental plants";""
+4;"401119";"401119";"Field forage growing";""
+3;"4012";"4012";"Forestry and Wood Industry";""
+4;"401201";"401201";"Forest entomology";""
+4;"401202";"401202";"Forest pathology";""
+4;"401203";"401203";"Forest protection";""
+4;"401204";"401204";"Forest engineering";""
+4;"401205";"401205";"Forestry";""
+4;"401206";"401206";"Wood industry";""
+4;"401207";"401207";"Silviculture";""
+4;"401208";"401208";"Forest ecology";""
+4;"401209";"401209";"Forest growth";""
+3;"4019";"4019";"Agriculture and Forestry, Fishery not elsewhere classified";""
+4;"401901";"401901";"Soil erosion";""
+4;"401902";"401902";"Soil science";""
+4;"401903";"401903";"Fishery";""
+4;"401904";"401904";"History of agriculture and forestry";""
+4;"401905";"401905";"Renewable resources";""
+4;"401906";"401906";"Game management";""
+2;"402";"402";"Animal Breeding, Animal Production";""
+3;"4020";"4020";"Animal Breeding, Animal Production";""
+4;"402001";"402001";"Apiology";""
+4;"402002";"402002";"Ichthyology";""
+4;"402003";"402003";"Meat hygiene";""
+4;"402004";"402004";"Meat production";""
+4;"402005";"402005";"Feed analysis";""
+4;"402006";"402006";"Pet breeding";""
+4;"402007";"402007";"Apiculture";""
+4;"402008";"402008";"Artificial insemination";""
+4;"402009";"402009";"Food testing";""
+4;"402010";"402010";"Milk hygiene";""
+4;"402011";"402011";"Milk production";""
+4;"402012";"402012";"Livestock ethology";""
+4;"402013";"402013";"Animal nutrition";""
+4;"402014";"402014";"Animal husbandry";""
+4;"402015";"402015";"Animal production";""
+4;"402016";"402016";"Animal welfare";""
+4;"402017";"402017";"Animal breeding";""
+4;"402018";"402018";"Laboratory animal science";""
+2;"403";"403";"Veterinary Medicine";""
+3;"4030";"4030";"Veterinary Medicine";""
+4;"403001";"403001";"Veterinary anaesthesiology";""
+4;"403002";"403002";"Veterinary anatomy";""
+4;"403003";"403003";"Veterinary andrology";""
+4;"403004";"403004";"Veterinary ophthalmology";""
+4;"403005";"403005";"Veterinary bacteriology";""
+4;"403006";"403006";"Veterinary diagnostic imaging";""
+4;"403007";"403007";"Veterinary surgery";""
+4;"403008";"403008";"Veterinary diagnostics";""
+4;"403009";"403009";"Veterinary embryology";""
+4;"403010";"403010";"Veterinary obstetrics";""
+4;"403011";"403011";"Forensic veterinary medicine";""
+4;"403012";"403012";"History of veterinary medicine";""
+4;"403013";"403013";"Veterinary gynaecology";""
+4;"403014";"403014";"Veterinary histology";""
+4;"403015";"403015";"Veterinary hygiene";""
+4;"403016";"403016";"Veterinary immunology";""
+4;"403017";"403017";"Veterinary internal medicine";""
+4;"403018";"403018";"Veterinary laboratory diagnostics";""
+4;"403019";"403019";"Veterinary medical biochemistry";""
+4;"403020";"403020";"Veterinary medical chemistry";""
+4;"403021";"403021";"Veterinary neurology";""
+4;"403022";"403022";"Veterinary orthopaedics";""
+4;"403023";"403023";"Veterinary parasitology";""
+4;"403024";"403024";"Veterinary pathology";""
+4;"403025";"403025";"Veterinary pharmacology";""
+4;"403026";"403026";"Veterinary physiology";""
+4;"403027";"403027";"Veterinary phytotherapy";""
+4;"403028";"403028";"Animal nutrition";""
+4;"403029";"403029";"Control of animal diseases";""
+4;"403030";"403030";"Veterinary toxicology";""
+4;"403031";"403031";"Veterinary virology";""
+4;"403032";"403032";"Veterinary dentistry";""
+4;"403033";"403033";"Veterinary regenerative medicine";""
+4;"403034";"403034";"Veterinary pain medicine";""
+2;"404";"404";"Agricultural Biotechnology, Food Biotechnology";""
+3;"4040";"4040";"Agricultural Biotechnology, Food Biotechnology";""
+4;"404001";"404001";"Agricultural biotechnology";""
+4;"404002";"404002";"Biopharming";""
+4;"404003";"404003";"Agricultural and food biotechnology related ethics";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"Fermentation technology";""
+4;"404006";"404006";"Genetic engineering";""
+4;"404007";"404007";"Food biotechnology";""
+2;"405";"405";"Other Agricultural Sciences";""
+3;"4050";"4050";"Other Agricultural Sciences";""
+4;"405001";"405001";"Agroecology";""
+4;"405002";"405002";"Agricultural economics";""
+4;"405003";"405003";"Agricultural policy";""
+4;"405004";"405004";"Sustainable agriculture";""
+4;"405005";"405005";"Wildlife science";""
+4;"405006";"405006";"Agricultural sociology";""
+4;"405007";"405007";"Wildlife management";""
+1;"5";"5";"SOCIAL SCIENCES";""
+2;"501";"501";"Psychology";""
+3;"5010";"5010";"Psychology";""
+4;"501001";"501001";"General psychology";""
+4;"501002";"501002";"Applied psychology";""
+4;"501003";"501003";"Occupational psychology";""
+4;"501004";"501004";"Differential psychology";""
+4;"501005";"501005";"Developmental psychology";""
+4;"501006";"501006";"Experimental psychology";""
+4;"501007";"501007";"History of psychology";""
+4;"501008";"501008";"Group dynamics";""
+4;"501009";"501009";"Child and adolescent psychology";""
+4;"501010";"501010";"Clinical psychology";""
+4;"501011";"501011";"Cognitive psychology";""
+4;"501012";"501012";"Media psychology";""
+4;"501013";"501013";"Motivational psychology";""
+4;"501014";"501014";"Neuropsychology";""
+4;"501015";"501015";"Organisational psychology";""
+4;"501016";"501016";"Educational psychology";""
+4;"501017";"501017";"Psychoanalysis";""
+4;"501018";"501018";"Psychological diagnostics";""
+4;"501019";"501019";"Psychotherapy";""
+4;"501020";"501020";"Legal psychology";""
+4;"501021";"501021";"Social psychology";""
+4;"501022";"501022";"Suicidology";""
+4;"501023";"501023";"Depth psychology";""
+4;"501024";"501024";"Behavioural therapy";""
+4;"501025";"501025";"Traffic psychology";""
+4;"501026";"501026";"Psychology of perception";""
+4;"501027";"501027";"Music therapy";""
+4;"501028";"501028";"Psychosocial support in emergencies";""
+4;"501029";"501029";"Economic psychology";""
+4;"501030";"501030";"Cognitive science";""
+2;"502";"502";"Economics";""
+3;"5020";"5020";"Economics";""
+4;"502001";"502001";"Labour market policy";""
+4;"502002";"502002";"Labour economics";""
+4;"502003";"502003";"Foreign trade";""
+4;"502004";"502004";"Banking management";""
+4;"502005";"502005";"Economics of education";""
+4;"502006";"502006";"Controlling";""
+4;"502007";"502007";"E-commerce";""
+4;"502008";"502008";"Development economics";""
+4;"502009";"502009";"Corporate finance";""
+4;"502010";"502010";"Public finance";""
+4;"502011";"502011";"Cooperative systems";""
+4;"502012";"502012";"Industrial management";""
+4;"502013";"502013";"Industrial economics";""
+4;"502014";"502014";"Innovation research";""
+4;"502015";"502015";"Innovation management";""
+4;"502016";"502016";"SME-research";""
+4;"502017";"502017";"Logistics";""
+4;"502018";"502018";"Macroeconomics";""
+4;"502019";"502019";"Marketing";""
+4;"502020";"502020";"Market research";""
+4;"502021";"502021";"Microeconomics";""
+4;"502022";"502022";"Sustainable economics";""
+4;"502023";"502023";"NPO research";""
+4;"502024";"502024";"Public economy";""
+4;"502025";"502025";"Econometrics";""
+4;"502026";"502026";"Human resource management";""
+4;"502027";"502027";"Political economy";""
+4;"502028";"502028";"Production management";""
+4;"502029";"502029";"Product management";""
+4;"502030";"502030";"Project management";""
+4;"502031";"502031";"Public management";""
+4;"502032";"502032";"Quality management";""
+4;"502033";"502033";"Accounting";""
+4;"502034";"502034";"Regulatory economics";""
+4;"502035";"502035";"Auditing and trusts";""
+4;"502036";"502036";"Risk management";""
+4;"502037";"502037";"Location planning";""
+4;"502038";"502038";"Taxation";""
+4;"502039";"502039";"Structural policy";""
+4;"502040";"502040";"Tourism research";""
+4;"502041";"502041";"Environmental management";""
+4;"502042";"502042";"Environmental economics";""
+4;"502043";"502043";"Business consultancy";""
+4;"502044";"502044";"Business management";""
+4;"502045";"502045";"Behavioural economics";""
+4;"502046";"502046";"Economic policy";""
+4;"502047";"502047";"Economic theory";""
+4;"502048";"502048";"Business ethics";""
+4;"502049";"502049";"Economic history";""
+4;"502050";"502050";"Business informatics";""
+4;"502051";"502051";"Economic statistics";""
+4;"502052";"502052";"Business administration";""
+4;"502053";"502053";"Economics";""
+4;"502054";"502054";"Entrepreneurship";""
+4;"502055";"502055";"Distribution economics";""
+4;"502056";"502056";"Auditing";""
+2;"503";"503";"Educational Sciences";""
+3;"5030";"5030";"Educational Sciences";""
+4;"503001";"503001";"General education";""
+4;"503002";"503002";"Applied education";""
+4;"503003";"503003";"Talent research";""
+4;"503004";"503004";"Vocational studies";""
+4;"503005";"503005";"Vocational education";""
+4;"503006";"503006";"Educational research";""
+4;"503007";"503007";"Didactics";""
+4;"503008";"503008";"E-learning";""
+4;"503009";"503009";"Adult education";""
+4;"503010";"503010";"Subject didactics of agricultural sciences, veterinary medicine";""
+4;"503011";"503011";"Subject didactics of humanities";""
+4;"503012";"503012";"Subject didactics of human medicine and health sciences";""
+4;"503013";"503013";"Subject didactics of natural sciences";""
+4;"503014";"503014";"Subject didactics of social sciences";""
+4;"503015";"503015";"Subject didactics of technical sciences";""
+4;"503016";"503016";"Leisure education";""
+4;"503017";"503017";"History of education";""
+4;"503018";"503018";"University didactics";""
+4;"503019";"503019";"Art education";""
+4;"503020";"503020";"Media education";""
+4;"503021";"503021";"Museum education";""
+4;"503022";"503022";"Music education";""
+4;"503023";"503023";"Qualification research";""
+4;"503024";"503024";"Religious education";""
+4;"503025";"503025";"School pedagogy";""
+4;"503026";"503026";"Orthopaedagogy";""
+4;"503027";"503027";"Social pedagogy";""
+4;"503028";"503028";"Sport pedagogy";""
+4;"503029";"503029";"Language teaching research";""
+4;"503030";"503030";"Business education";""
+4;"503031";"503031";"Elementary pedagogy";""
+4;"503032";"503032";"Teaching and learning research";""
+4;"503033";"503033";"Political education";""
+4;"503034";"503034";"Inclusive education";""
+2;"504";"504";"Sociology";""
+3;"5040";"5040";"Sociology";""
+4;"504001";"504001";"General sociology";""
+4;"504002";"504002";"Sociology of work";""
+4;"504003";"504003";"Poverty and social exclusion";""
+4;"504004";"504004";"Population statistics";""
+4;"504005";"504005";"Educational sociology";""
+4;"504006";"504006";"Demography";""
+4;"504007";"504007";"Empirical social research";""
+4;"504008";"504008";"Ethnography";""
+4;"504009";"504009";"Ethnology";""
+4;"504010";"504010";"European ethnology";""
+4;"504011";"504011";"Genealogy";""
+4;"504012";"504012";"Leisure research";""
+4;"504013";"504013";"Gender mainstreaming";""
+4;"504014";"504014";"Gender studies";""
+4;"504015";"504015";"History of sociology";""
+4;"504016";"504016";"Sociology of youth";""
+4;"504017";"504017";"Cultural anthropology";""
+4;"504018";"504018";"Sociology of culture";""
+4;"504019";"504019";"Media sociology";""
+4;"504020";"504020";"Medical sociology";""
+4;"504021";"504021";"Migration research";""
+4;"504022";"504022";"Music sociology";""
+4;"504023";"504023";"Political sociology";""
+4;"504024";"504024";"Sociology of law";""
+4;"504025";"504025";"Sociology of religion";""
+4;"504026";"504026";"Social history";""
+4;"504027";"504027";"Special sociology";""
+4;"504028";"504028";"Sociology of technology";""
+4;"504029";"504029";"Environmental sociology";""
+4;"504030";"504030";"Economic sociology";""
+4;"504031";"504031";"Diversity research";""
+2;"505";"505";"Law";""
+3;"5050";"5050";"Law";""
+4;"505001";"505001";"Labour law";""
+4;"505002";"505002";"Data protection";""
+4;"505003";"505003";"European law";""
+4;"505004";"505004";"Financial law";""
+4;"505005";"505005";"Intellectual property";""
+4;"505006";"505006";"Fundamental rights";""
+4;"505007";"505007";"Insolvency law";""
+4;"505008";"505008";"Criminology";""
+4;"505009";"505009";"Mediation";""
+4;"505010";"505010";"Medical law";""
+4;"505011";"505011";"Human rights";""
+4;"505012";"505012";"Public law";""
+4;"505013";"505013";"Private law";""
+4;"505014";"505014";"Legal history";""
+4;"505015";"505015";"Legal informatics";""
+4;"505016";"505016";"Legal theory";""
+4;"505017";"505017";"Comparative law";""
+4;"505018";"505018";"Religious law";""
+4;"505019";"505019";"Roman law";""
+4;"505020";"505020";"Social law";""
+4;"505021";"505021";"Constitutional law";""
+4;"505022";"505022";"Tax law";""
+4;"505023";"505023";"Criminal procedural law";""
+4;"505024";"505024";"Criminal law";""
+4;"505025";"505025";"Business law";""
+4;"505026";"505026";"Constitutional law";""
+4;"505027";"505027";"Administrative studies";""
+4;"505028";"505028";"Administrative law";""
+4;"505029";"505029";"International law";""
+4;"505030";"505030";"Commercial law";""
+4;"505031";"505031";"Civil law";""
+4;"505032";"505032";"Civil procedure law";""
+4;"505033";"505033";"Anti-discrimination law";""
+4;"505034";"505034";"Banking and capital market law";""
+4;"505035";"505035";"Building law";""
+4;"505036";"505036";"Energy law";""
+4;"505037";"505037";"Family and inheritance law";""
+4;"505038";"505038";"Trademark and patent law";""
+4;"505039";"505039";"Media law";""
+4;"505040";"505040";"Sports law";""
+4;"505041";"505041";"Environmental law";""
+4;"505042";"505042";"Traffic law";""
+4;"505043";"505043";"Competition and antitrust law";""
+4;"505044";"505044";"Corporate law";""
+4;"505045";"505045";"Higher education law";""
+4;"505046";"505046";"Air and space law";""
+4;"505047";"505047";"General procedural law";""
+4;"505048";"505048";"Property law";""
+2;"506";"506";"Political Science";""
+3;"5060";"5060";"Political Science";""
+4;"506001";"506001";"General theory of the state";""
+4;"506002";"506002";"E-government";""
+4;"506003";"506003";"Development policy";""
+4;"506004";"506004";"European integration";""
+4;"506005";"506005";"Research policy";""
+4;"506006";"506006";"Peace studies";""
+4;"506007";"506007";"International relations";""
+4;"506008";"506008";"Conflict research";""
+4;"506009";"506009";"Organisation theory";""
+4;"506010";"506010";"Policy analysis";""
+4;"506011";"506011";"Political history";""
+4;"506012";"506012";"Political systems";""
+4;"506013";"506013";"Political theory";""
+4;"506014";"506014";"Comparative politics";""
+4;"506015";"506015";"Asylum policy";""
+4;"506016";"506016";"Migration policy";""
+4;"506017";"506017";"Science and technology policy";""
+2;"507";"507";"Human Geography, Regional Geography, Regional Planning";""
+3;"5070";"5070";"Human Geography, Regional Geography, Regional Planning";""
+4;"507001";"507001";"Applied geography";""
+4;"507002";"507002";"Population geography";""
+4;"507003";"507003";"Geoinformatics";""
+4;"507004";"507004";"History of geography";""
+4;"507005";"507005";"Cultural geography";""
+4;"507006";"507006";"Cultural landscape research";""
+4;"507007";"507007";"Land use planning";""
+4;"507008";"507008";"Landscape planning";""
+4;"507009";"507009";"Regional planning";""
+4;"507010";"507010";"Political geography";""
+4;"507011";"507011";"Spatial research";""
+4;"507012";"507012";"Spatial structure";""
+4;"507013";"507013";"Regional geography";""
+4;"507014";"507014";"Regional development";""
+4;"507015";"507015";"Regional research";""
+4;"507016";"507016";"Regional economy";""
+4;"507017";"507017";"Social geography";""
+4;"507018";"507018";"Urban and village renewal";""
+4;"507019";"507019";"Urban development planning";""
+4;"507020";"507020";"Urbanism";""
+4;"507021";"507021";"Urban history";""
+4;"507022";"507022";"Urban planning";""
+4;"507023";"507023";"Location development";""
+4;"507024";"507024";"Environmental policy";""
+4;"507025";"507025";"Transport planning";""
+4;"507026";"507026";"Economic geography";""
+4;"507027";"507027";"Sustainable urban development";""
+2;"508";"508";"Media and Communication Sciences";""
+3;"5080";"5080";"Media and Communication Sciences";""
+4;"508001";"508001";"Archive studies";""
+4;"508002";"508002";"Audiovisual media";""
+4;"508003";"508003";"Library science";""
+4;"508004";"508004";"Intercultural communication";""
+4;"508005";"508005";"Journalism";""
+4;"508006";"508006";"Communication theory";""
+4;"508007";"508007";"Communication science";""
+4;"508008";"508008";"Media analysis";""
+4;"508009";"508009";"Media research";""
+4;"508010";"508010";"Media history";""
+4;"508011";"508011";"Media theory";""
+4;"508012";"508012";"Media impact studies";""
+4;"508013";"508013";"Public relations";""
+4;"508014";"508014";"Journalism";""
+4;"508015";"508015";"Business communication";""
+4;"508016";"508016";"Science communication";""
+4;"508017";"508017";"Organisational communication";""
+4;"508018";"508018";"Reception research";""
+2;"509";"509";"Other Social Sciences";""
+3;"5090";"5090";"Other Social Sciences";""
+4;"509001";"509001";"Action research";""
+4;"509002";"509002";"Disability studies";""
+4;"509003";"509003";"Development cooperation";""
+4;"509004";"509004";"Evaluation research";""
+4;"509005";"509005";"Gerontology";""
+4;"509006";"509006";"History of social sciences";""
+4;"509007";"509007";"Graffiti research";""
+4;"509008";"509008";"Child research, youth research";""
+4;"509009";"509009";"Military strategic research";""
+4;"509010";"509010";"Minority research";""
+4;"509011";"509011";"Organisational development";""
+4;"509012";"509012";"Social policy";""
+4;"509013";"509013";"Social statistics";""
+4;"509014";"509014";"Game research";""
+4;"509015";"509015";"Accident research";""
+4;"509016";"509016";"Transport economics";""
+4;"509017";"509017";"Social studies of science";""
+4;"509018";"509018";"Knowledge management";""
+4;"509019";"509019";"Futurology";""
+4;"509020";"509020";"Military ethics";""
+4;"509021";"509021";"Military science";""
+4;"509022";"509022";"Polemology";""
+4;"509023";"509023";"Development research";""
+4;"509024";"509024";"Security research";""
+4;"509025";"509025";"Technology studies";""
+1;"6";"6";"HUMANITIES";""
+2;"601";"601";"History, Archaeology";""
+3;"6010";"6010";"History, Archaeology";""
+4;"601001";"601001";"Ancient history";""
+4;"601002";"601002";"Classical studies";""
+4;"601003";"601003";"Archaeology";""
+4;"601004";"601004";"Epigraphy";""
+4;"601005";"601005";"European history";""
+4;"601006";"601006";"Early history";""
+4;"601007";"601007";"Historical regional studies";""
+4;"601008";"601008";"Science of history";""
+4;"601009";"601009";"Historical auxiliary sciences";""
+4;"601010";"601010";"Classical archaeology";""
+4;"601011";"601011";"Codicology";""
+4;"601012";"601012";"Medieval history";""
+4;"601013";"601013";"Museology";""
+4;"601014";"601014";"Modern history";""
+4;"601015";"601015";"Numismatics";""
+4;"601016";"601016";"Austrian history";""
+4;"601017";"601017";"Palaeography";""
+4;"601018";"601018";"Papyrology";""
+4;"601019";"601019";"Source studies";""
+4;"601020";"601020";"Regional history";""
+4;"601021";"601021";"Prehistory";""
+4;"601022";"601022";"Contemporary history";""
+4;"601023";"601023";"Global history";""
+4;"601024";"601024";"Archaeological prospection";""
+4;"601025";"601025";"Experimental archaeology";""
+4;"601026";"601026";"Virtual archeology";""
+4;"601027";"601027";"Deserted settlement research";""
+2;"602";"602";"Linguistics and Literature";""
+3;"6020";"6020";"Linguistics and Literature";""
+4;"602001";"602001";"African studies";""
+4;"602002";"602002";"Egyptology";""
+4;"602003";"602003";"General literature studies";""
+4;"602004";"602004";"General linguistics";""
+4;"602005";"602005";"American studies";""
+4;"602006";"602006";"Applied literature studies";""
+4;"602007";"602007";"Applied linguistics";""
+4;"602008";"602008";"English studies";""
+4;"602009";"602009";"Arabic studies";""
+4;"602010";"602010";"Byzantine studies";""
+4;"602011";"602011";"Computational linguistics";""
+4;"602012";"602012";"Finno-Ugrian studies";""
+4;"602013";"602013";"Sign language research";""
+4;"602014";"602014";"German studies";""
+4;"602015";"602015";"Greek studies";""
+4;"602016";"602016";"Hermeneutics";""
+4;"602017";"602017";"Indo-European studies";""
+4;"602018";"602018";"Indology";""
+4;"602019";"602019";"Iranian studies";""
+4;"602020";"602020";"Japanese studies";""
+4;"602021";"602021";"Yiddish studies";""
+4;"602022";"602022";"Jewish studies";""
+4;"602023";"602023";"Celtic studies";""
+4;"602024";"602024";"Classical philology";""
+4;"602025";"602025";"Clinical linguistics";""
+4;"602026";"602026";"Cognitive linguistics";""
+4;"602027";"602027";"Coptic studies";""
+4;"602028";"602028";"Korean studies";""
+4;"602029";"602029";"Latin studies";""
+4;"602030";"602030";"Lexicography";""
+4;"602031";"602031";"History of literature";""
+4;"602032";"602032";"Dialectology";""
+4;"602033";"602033";"Onomastics";""
+4;"602034";"602034";"Dutch studies";""
+4;"602035";"602035";"Modern Greek studies";""
+4;"602036";"602036";"Neurolinguistics";""
+4;"602037";"602037";"Oriental studies";""
+4;"602038";"602038";"Phonetics";""
+4;"602039";"602039";"Phonology";""
+4;"602040";"602040";"Psycholinguistics";""
+4;"602041";"602041";"Rhetoric";""
+4;"602042";"602042";"Romance studies";""
+4;"602043";"602043";"Semiotics";""
+4;"602044";"602044";"Semitic studies";""
+4;"602045";"602045";"Sinology";""
+4;"602046";"602046";"Scandinavian studies";""
+4;"602047";"602047";"Slavonic studies";""
+4;"602048";"602048";"Sociolinguistics";""
+4;"602049";"602049";"Terminology science";""
+4;"602050";"602050";"Tibetan studies";""
+4;"602051";"602051";"Translation studies";""
+4;"602052";"602052";"Turkish studies";""
+4;"602053";"602053";"Comparative literature studies";""
+4;"602054";"602054";"Comparative linguistics";""
+4;"602055";"602055";"Patholinguistics";""
+4;"602056";"602056";"Ancient Oriental studies";""
+4;"602057";"602057";"Historical linguistics";""
+4;"602058";"602058";"Corpus linguistics";""
+2;"603";"603";"Philosophy, Ethics, Religion";""
+3;"6031";"6031";"Philosophy, Ethics";""
+4;"603101";"603101";"Aesthetics";""
+4;"603102";"603102";"Epistemology";""
+4;"603103";"603103";"Ethics";""
+4;"603104";"603104";"History of philosophy";""
+4;"603105";"603105";"Philosophy of history";""
+4;"603106";"603106";"Hermeneutics";""
+4;"603107";"603107";"Critique of ideology";""
+4;"603108";"603108";"Cultural philosophy";""
+4;"603109";"603109";"Logic";""
+4;"603110";"603110";"Metaphysics";""
+4;"603111";"603111";"Natural philosophy";""
+4;"603112";"603112";"Phenomenology";""
+4;"603113";"603113";"Philosophy";""
+4;"603114";"603114";"Philosophy of mind";""
+4;"603115";"603115";"Philosophical anthropology";""
+4;"603116";"603116";"Political philosophy";""
+4;"603117";"603117";"Philosophy of law";""
+4;"603118";"603118";"Philosophy of religion";""
+4;"603119";"603119";"Social philosophy";""
+4;"603120";"603120";"Philosophy of language";""
+4;"603121";"603121";"Political philosophy";""
+4;"603122";"603122";"Philosophy of technology";""
+4;"603123";"603123";"History of science";""
+4;"603124";"603124";"Theory of science";""
+4;"603125";"603125";"Metaethics";""
+4;"603126";"603126";"Intercultural philosophy";""
+3;"6032";"6032";"Theology";""
+4;"603201";"603201";"Old Testament studies";""
+4;"603202";"603202";"Christian archaeology";""
+4;"603203";"603203";"Christian philosophy";""
+4;"603204";"603204";"Christian social doctrine";""
+4;"603205";"603205";"Dogmatic theology";""
+4;"603206";"603206";"Fundamental theology";""
+4;"603207";"603207";"Homiletics";""
+4;"603208";"603208";"Intercultural theology";""
+4;"603209";"603209";"Canon law";""
+4;"603210";"603210";"Catechetics";""
+4;"603211";"603211";"Church history";""
+4;"603212";"603212";"Liturgical studies";""
+4;"603213";"603213";"Moral theology";""
+4;"603214";"603214";"New Testament studies";""
+4;"603215";"603215";"Ecumenical theology";""
+4;"603216";"603216";"Pastoral psychology";""
+4;"603217";"603217";"Pastoral theology";""
+4;"603218";"603218";"Patrology";""
+4;"603219";"603219";"Practical theology";""
+4;"603220";"603220";"Pastoral care";""
+4;"603221";"603221";"Spiritual theology";""
+4;"603222";"603222";"Systematic theology";""
+4;"603223";"603223";"Theological anthropology";""
+3;"6039";"6039";"Religion, Religious Studies not elsewhere classified";""
+4;"603901";"603901";"Atheism";""
+4;"603902";"603902";"Buddhism";""
+4;"603903";"603903";"Exegesis";""
+4;"603904";"603904";"Hinduism";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"Jewish religion";""
+4;"603907";"603907";"Church law";""
+4;"603908";"603908";"History of religion";""
+4;"603909";"603909";"Religious studies";""
+4;"603910";"603910";"Psychology of religion";""
+2;"604";"604";"Arts";""
+3;"6040";"6040";"Arts";""
+4;"604001";"604001";"Applied arts";""
+4;"604002";"604002";"Architectural design";""
+4;"604003";"604003";"Performance practice";""
+4;"604004";"604004";"Fine arts";""
+4;"604005";"604005";"Stage design";""
+4;"604006";"604006";"Performing arts";""
+4;"604007";"604007";"Historic preservation";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusicology";""
+4;"604010";"604010";"Film design";""
+4;"604011";"604011";"Film studies";""
+4;"604012";"604012";"Photography";""
+4;"604013";"604013";"Garden art";""
+4;"604014";"604014";"Singing";""
+4;"604015";"604015";"Industrial design";""
+4;"604016";"604016";"Jazz studies";""
+4;"604017";"604017";"Church music";""
+4;"604018";"604018";"Conservation, restoration";""
+4;"604019";"604019";"Art history";""
+4;"604020";"604020";"Art theory";""
+4;"604021";"604021";"Media arts";""
+4;"604022";"604022";"Music history";""
+4;"604023";"604023";"Music theory";""
+4;"604024";"604024";"Musicology";""
+4;"604025";"604025";"Popular music studies";""
+4;"604026";"604026";"Spatial arts";""
+4;"604027";"604027";"Scenography";""
+4;"604028";"604028";"Dance studies";""
+4;"604029";"604029";"Theatre studies";""
+4;"604030";"604030";"Folk music research";""
+4;"604031";"604031";"Historical technology";""
+4;"604032";"604032";"Instrumental studies";""
+4;"604033";"604033";"Composition";""
+4;"604034";"604034";"Music theatre";""
+4;"604035";"604035";"Organ research";""
+4;"604036";"604036";"Provenance research";""
+4;"604037";"604037";"Collection care";""
+2;"605";"605";"Other Humanities";""
+3;"6050";"6050";"Other Humanities";""
+4;"605001";"605001";"History of humanities";""
+4;"605002";"605002";"Cultural history";""
+4;"605003";"605003";"Cultural economics";""
+4;"605004";"605004";"Cultural studies";""
+4;"605005";"605005";"Audience research";""
+4;"605006";"605006";"Cultural management";""
+4;"605007";"605007";"Digital humanities";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_EN_CTI_20211111_154228.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_EN_CTI_20211111_154228.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3bf6a0844bc6053615dc524da0365feacdd34c1c
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_dc/oefos/OEFOS2012_EN_CTI_20211111_154228.txt
@@ -0,0 +1,1475 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURAL SCIENCES";""
+2;"101";"101";"Mathematics";""
+3;"1010";"1010";"Mathematics";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Applied geometry";""
+4;"101004";"101004";"Biomathematics";""
+4;"101005";"101005";"Computer algebra";""
+4;"101006";"101006";"Differential geometry";""
+4;"101007";"101007";"Financial mathematics";""
+4;"101008";"101008";"Complex analysis";""
+4;"101009";"101009";"Geometry";""
+4;"101010";"101010";"History of mathematics";""
+4;"101011";"101011";"Graph theory";""
+4;"101012";"101012";"Combinatorics";""
+4;"101013";"101013";"Mathematical logic";""
+4;"101014";"101014";"Numerical mathematics";""
+4;"101015";"101015";"Operations research";""
+4;"101016";"101016";"Optimisation";""
+4;"101017";"101017";"Game theory";""
+4;"101018";"101018";"Statistics";""
+4;"101019";"101019";"Stochastics";""
+4;"101020";"101020";"Technical mathematics";""
+4;"101021";"101021";"Theoretical cybernetics";""
+4;"101022";"101022";"Topology";""
+4;"101023";"101023";"Actuarial mathematics";""
+4;"101024";"101024";"Probability theory";""
+4;"101025";"101025";"Number theory";""
+4;"101026";"101026";"Time series analysis";""
+4;"101027";"101027";"Dynamical systems";""
+4;"101028";"101028";"Mathematical modelling";""
+4;"101029";"101029";"Mathematical statistics";""
+4;"101030";"101030";"Reliability theory";""
+4;"101031";"101031";"Approximation theory";""
+4;"101032";"101032";"Functional analysis";""
+2;"102";"102";"Computer Sciences";""
+3;"1020";"1020";"Computer Sciences";""
+4;"102001";"102001";"Artificial intelligence";""
+4;"102002";"102002";"Augmented reality";""
+4;"102003";"102003";"Image processing";""
+4;"102004";"102004";"Bioinformatics";""
+4;"102005";"102005";"Computer aided design (CAD)";""
+4;"102006";"102006";"Computer supported cooperative work (CSCW)";""
+4;"102007";"102007";"Computer animation";""
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+4;"102009";"102009";"Computer simulation";""
+4;"102010";"102010";"Database systems";""
+4;"102011";"102011";"Formal languages";""
+4;"102012";"102012";"History of computer science";""
+4;"102013";"102013";"Human-computer interaction";""
+4;"102014";"102014";"Information design";""
+4;"102015";"102015";"Information systems";""
+4;"102016";"102016";"IT security";""
+4;"102017";"102017";"Cryptology";""
+4;"102018";"102018";"Artificial neural networks";""
+4;"102019";"102019";"Machine learning";""
+4;"102020";"102020";"Medical informatics";""
+4;"102021";"102021";"Pervasive computing";""
+4;"102022";"102022";"Software development";""
+4;"102023";"102023";"Supercomputing";""
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+4;"102025";"102025";"Distributed systems";""
+4;"102026";"102026";"Virtual reality";""
+4;"102027";"102027";"Web engineering";""
+4;"102028";"102028";"Knowledge engineering";""
+4;"102029";"102029";"Practical computer science";""
+4;"102030";"102030";"Semantic technologies";""
+4;"102031";"102031";"Theoretical computer science";""
+4;"102032";"102032";"Computational intelligence";""
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+4;"102034";"102034";"Cyber-physical systems";""
+4;"102035";"102035";"Data science";""
+4;"102036";"102036";"Digital accessibility";""
+4;"102037";"102037";"Visualisation";""
+2;"103";"103";"Physics, Astronomy";""
+3;"1030";"1030";"Physics, Astronomy";""
+4;"103001";"103001";"Aerodynamics";""
+4;"103002";"103002";"Acoustics";""
+4;"103003";"103003";"Astronomy";""
+4;"103004";"103004";"Astrophysics";""
+4;"103005";"103005";"Atomic physics";""
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+4;"103007";"103007";"Dosimetry";""
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+4;"103009";"103009";"Solid state physics";""
+4;"103010";"103010";"History of physics";""
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+4;"103015";"103015";"Condensed matter";""
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+4;"103025";"103025";"Quantum mechanics";""
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+4;"103031";"103031";"Radiation protection";""
+4;"103032";"103032";"Fluid mechanics";""
+4;"103033";"103033";"Superconductivity";""
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+4;"103038";"103038";"Space exploration";""
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+4;"103041";"103041";"Astroparticle physics";""
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+4;"103044";"103044";"Cosmology";""
+2;"104";"104";"Chemistry";""
+3;"1040";"1040";"Chemistry";""
+4;"104001";"104001";"General chemistry";""
+4;"104002";"104002";"Analytical chemistry";""
+4;"104003";"104003";"Inorganic chemistry";""
+4;"104004";"104004";"Chemical biology";""
+4;"104005";"104005";"Electrochemistry";""
+4;"104006";"104006";"Solid state chemistry";""
+4;"104007";"104007";"History of chemistry";""
+4;"104008";"104008";"Catalysis";""
+4;"104009";"104009";"Food chemistry";""
+4;"104010";"104010";"Macromolecular chemistry";""
+4;"104011";"104011";"Materials chemistry";""
+4;"104012";"104012";"Microanalysis";""
+4;"104013";"104013";"Natural product chemistry";""
+4;"104014";"104014";"Surface chemistry";""
+4;"104015";"104015";"Organic chemistry";""
+4;"104016";"104016";"Photochemistry";""
+4;"104017";"104017";"Physical chemistry";""
+4;"104018";"104018";"Polymer chemistry";""
+4;"104019";"104019";"Polymer sciences";""
+4;"104020";"104020";"Radiochemistry";""
+4;"104021";"104021";"Structural chemistry";""
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+4;"104023";"104023";"Environmental chemistry";""
+4;"104024";"104024";"X-ray structural analysis";""
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+4;"104027";"104027";"Computational chemistry";""
+2;"105";"105";"Geosciences";""
+3;"1051";"1051";"Geology, Mineralogy";""
+4;"105101";"105101";"General geology";""
+4;"105102";"105102";"General geophysics";""
+4;"105103";"105103";"Petroleum geology";""
+4;"105104";"105104";"Erosion";""
+4;"105105";"105105";"Geochemistry";""
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+4;"105303";"105303";"Hydrogeology";""
+4;"105304";"105304";"Hydrology";""
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+4;"105306";"105306";"Oceanography";""
+4;"105307";"105307";"Water quality";""
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+3;"1054";"1054";"Physical Geography";""
+4;"105401";"105401";"Biogeography";""
+4;"105402";"105402";"Soil geography";""
+4;"105403";"105403";"Geoinformatics";""
+4;"105404";"105404";"Geomorphology";""
+4;"105405";"105405";"Geoecology";""
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+4;"105407";"105407";"Cartography";""
+4;"105408";"105408";"Physical geography";""
+4;"105409";"105409";"Topography";""
+3;"1059";"1059";"Interdisciplinary Geosciences not elsewhere classified";""
+4;"105901";"105901";"Glaciology";""
+4;"105902";"105902";"Natural hazards";""
+4;"105903";"105903";"Speleology";""
+4;"105904";"105904";"Environmental research";""
+4;"105905";"105905";"Environmental protection";""
+4;"105906";"105906";"Environmental geosciences";""
+4;"105907";"105907";"Polar research";""
+2;"106";"106";"Biology";""
+3;"1060";"1060";"Biology";""
+4;"106001";"106001";"General biology";""
+4;"106002";"106002";"Biochemistry";""
+4;"106003";"106003";"Biodiversity research";""
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+4;"106005";"106005";"Bioinformatics";""
+4;"106006";"106006";"Biophysics";""
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+4;"106009";"106009";"Chronobiology";""
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+4;"106011";"106011";"3Rs (replacement, reduction, refinement of animal testing)";""
+4;"106012";"106012";"Evolutionary research";""
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+4;"106016";"106016";"History of biology";""
+4;"106017";"106017";"Glycobiology";""
+4;"106018";"106018";"Human biology";""
+4;"106019";"106019";"Hydrobiology";""
+4;"106020";"106020";"Limnology";""
+4;"106021";"106021";"Marine biology";""
+4;"106022";"106022";"Microbiology";""
+4;"106023";"106023";"Molecular biology";""
+4;"106024";"106024";"Mycology";""
+4;"106025";"106025";"Neurobiology";""
+4;"106026";"106026";"Ecosystem research";""
+4;"106027";"106027";"Ecotoxicology";""
+4;"106028";"106028";"Plant anatomy";""
+4;"106029";"106029";"Plant morphology";""
+4;"106030";"106030";"Plant ecology";""
+4;"106031";"106031";"Plant physiology";""
+4;"106032";"106032";"Photobiology";""
+4;"106033";"106033";"Phylogeny";""
+4;"106034";"106034";"Phytochemistry";""
+4;"106035";"106035";"Phytogeography";""
+4;"106036";"106036";"Population genetics";""
+4;"106037";"106037";"Proteomics";""
+4;"106038";"106038";"Reproductive biology";""
+4;"106039";"106039";"Stem cell research";""
+4;"106040";"106040";"Radiation biology";""
+4;"106041";"106041";"Structural biology";""
+4;"106042";"106042";"Systematic botany";""
+4;"106043";"106043";"Systematic zoology";""
+4;"106044";"106044";"Systems biology";""
+4;"106045";"106045";"Theoretical biology";""
+4;"106046";"106046";"Animal anatomy";""
+4;"106047";"106047";"Animal ecology";""
+4;"106048";"106048";"Animal physiology";""
+4;"106049";"106049";"Ultrastructure research";""
+4;"106050";"106050";"Vegetation science";""
+4;"106051";"106051";"Behavioural biology";""
+4;"106052";"106052";"Cell biology";""
+4;"106053";"106053";"Zoogeography";""
+4;"106054";"106054";"Zoology";""
+4;"106055";"106055";"Aerobiology";""
+4;"106056";"106056";"Biological anthropology";""
+4;"106057";"106057";"Metabolomics";""
+4;"106058";"106058";"Soil biology";""
+4;"106059";"106059";"Microbiome research";""
+4;"106060";"106060";"Animal ethics";""
+2;"107";"107";"Other Natural Sciences";""
+3;"1070";"1070";"Other Natural Sciences";""
+4;"107001";"107001";"Archaeometry";""
+4;"107002";"107002";"Bionics";""
+4;"107003";"107003";"History of natural sciences";""
+4;"107004";"107004";"Human ecology";""
+4;"107005";"107005";"Food testing";""
+4;"107006";"107006";"Nature conservation";""
+4;"107007";"107007";"Risk research";""
+4;"107008";"107008";"Archaeobotany";""
+4;"107009";"107009";"Archaeozoology";""
+4;"107010";"107010";"Geoarchaeology";""
+1;"2";"2";"TECHNICAL SCIENCES";""
+2;"201";"201";"Construction Engineering";""
+3;"2011";"2011";"Civil Engineering";""
+4;"201101";"201101";"Construction operation";""
+4;"201102";"201102";"Structural dynamics";""
+4;"201103";"201103";"Building physics";""
+4;"201104";"201104";"Structural analysis";""
+4;"201105";"201105";"Construction material practice";""
+4;"201106";"201106";"Structural engineering";""
+4;"201107";"201107";"Endurance strength";""
+4;"201108";"201108";"Fracture mechanics";""
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+4;"201110";"201110";"Strength of materials";""
+4;"201111";"201111";"River engineering";""
+4;"201112";"201112";"Building construction";""
+4;"201113";"201113";"Timber engineering";""
+4;"201114";"201114";"Industrial building";""
+4;"201115";"201115";"Structural hydraulic engineering";""
+4;"201116";"201116";"Agricultural civil engineering";""
+4;"201117";"201117";"Lightweight design";""
+4;"201118";"201118";"Urban water supply and sanitation";""
+4;"201119";"201119";"Steel construction";""
+4;"201120";"201120";"Reinforced concrete construction";""
+4;"201121";"201121";"Road construction";""
+4;"201122";"201122";"Technical flood protection";""
+4;"201123";"201123";"Underground engineering";""
+4;"201124";"201124";"Structural design";""
+4;"201125";"201125";"Hydraulic engineering";""
+4;"201126";"201126";"Hydropower plant construction";""
+4;"201127";"201127";"Torrent and avalanche control";""
+4;"201128";"201128";"Sustainable building";""
+4;"201129";"201129";"Earthquake engineering";""
+4;"201130";"201130";"Structural glass construction";""
+4;"201131";"201131";"Building history";""
+4;"201132";"201132";"Computational engineering";""
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+4;"201203";"201203";"Architectural theory";""
+4;"201204";"201204";"Barrier-free building";""
+4;"201205";"201205";"Building research";""
+4;"201206";"201206";"Designing";""
+4;"201207";"201207";"Building typology";""
+4;"201208";"201208";"Industrial architecture";""
+4;"201209";"201209";"Interior design";""
+4;"201210";"201210";"Landscape architecture";""
+4;"201211";"201211";"Solar architecture";""
+4;"201212";"201212";"Urban design";""
+4;"201213";"201213";"Housing";""
+4;"201214";"201214";"Experimental architecture";""
+4;"201215";"201215";"Building cultural heritage";""
+3;"2013";"2013";"Transportation";""
+4;"201301";"201301";"Railway construction";""
+4;"201302";"201302";"Railway engineering";""
+4;"201303";"201303";"Ropeways";""
+4;"201304";"201304";"Road construction";""
+4;"201305";"201305";"Traffic engineering";""
+4;"201306";"201306";"Traffic telematics";""
+4;"201307";"201307";"Transport economics";""
+3;"2019";"2019";"Construction Engineering not elsewhere classified";""
+4;"201901";"201901";"Old building renovation";""
+4;"201902";"201902";"Building ecology";""
+4;"201903";"201903";"Soil bioengineering";""
+4;"201904";"201904";"Vegetation technology";""
+4;"201905";"201905";"Building within existing structures";""
+4;"201906";"201906";"Building-integrated vegetation";""
+2;"202";"202";"Electrical Engineering, Electronics, Information Engineering";""
+3;"2020";"2020";"Electrical Engineering, Electronics, Information Engineering";""
+4;"202001";"202001";"Audio technology";""
+4;"202002";"202002";"Audiovisual media";""
+4;"202003";"202003";"Automation";""
+4;"202004";"202004";"Brain-computer interface";""
+4;"202005";"202005";"Computer architecture";""
+4;"202006";"202006";"Computer hardware";""
+4;"202007";"202007";"Computer integrated manufacturing (CIM)";""
+4;"202008";"202008";"Electrical power systems";""
+4;"202009";"202009";"Electrical drive engineering";""
+4;"202010";"202010";"Electric power engineering";""
+4;"202011";"202011";"Electrical machines";""
+4;"202012";"202012";"Electrical measurement technology";""
+4;"202013";"202013";"Electromagnetic compatibility";""
+4;"202014";"202014";"Electromagnetism";""
+4;"202015";"202015";"Electronics";""
+4;"202016";"202016";"Electrical engineering";""
+4;"202017";"202017";"Embedded systems";""
+4;"202018";"202018";"Semiconductor electronics";""
+4;"202019";"202019";"High frequency engineering";""
+4;"202020";"202020";"High voltage engineering";""
+4;"202021";"202021";"Industrial electronics";""
+4;"202022";"202022";"Information technology";""
+4;"202023";"202023";"Integrated circuits";""
+4;"202024";"202024";"Laser technology";""
+4;"202025";"202025";"Power electronics";""
+4;"202026";"202026";"Light technology";""
+4;"202027";"202027";"Mechatronics";""
+4;"202028";"202028";"Microelectronics";""
+4;"202029";"202029";"Microwave engineering";""
+4;"202030";"202030";"Communication engineering";""
+4;"202031";"202031";"Network engineering";""
+4;"202032";"202032";"Photovoltaics";""
+4;"202033";"202033";"Radar technology";""
+4;"202034";"202034";"Control engineering";""
+4;"202035";"202035";"Robotics";""
+4;"202036";"202036";"Sensor systems";""
+4;"202037";"202037";"Signal processing";""
+4;"202038";"202038";"Telecommunications";""
+4;"202039";"202039";"Theoretical electrical engineering";""
+4;"202040";"202040";"Transmission technology";""
+4;"202041";"202041";"Computer engineering";""
+4;"202042";"202042";"Optical communication engineering";""
+4;"202043";"202043";"Network security";""
+2;"203";"203";"Mechanical Engineering";""
+3;"2030";"2030";"Mechanical Engineering";""
+4;"203001";"203001";"Apparatus engineering";""
+4;"203002";"203002";"Endurance strength";""
+4;"203003";"203003";"Fracture mechanics";""
+4;"203004";"203004";"Automotive technology";""
+4;"203005";"203005";"Precision engineering";""
+4;"203006";"203006";"Production engineering";""
+4;"203007";"203007";"Strength of materials";""
+4;"203008";"203008";"Conveyor technology";""
+4;"203009";"203009";"Refrigeration engineering";""
+4;"203010";"203010";"Air conditioning technology";""
+4;"203011";"203011";"Lightweight design";""
+4;"203012";"203012";"Aerospace engineering";""
+4;"203013";"203013";"Mechanical engineering";""
+4;"203014";"203014";"Machine dynamics";""
+4;"203015";"203015";"Mechatronics";""
+4;"203016";"203016";"Measurement engineering";""
+4;"203017";"203017";"Micromechanics";""
+4;"203018";"203018";"Heavy machinery construction";""
+4;"203019";"203019";"Reactor technology";""
+4;"203020";"203020";"Welding engineering";""
+4;"203021";"203021";"Fluid-flow machinery";""
+4;"203022";"203022";"Technical mechanics";""
+4;"203023";"203023";"Thermal turbomachinery";""
+4;"203024";"203024";"Thermodynamics";""
+4;"203025";"203025";"Tribology";""
+4;"203026";"203026";"Forming";""
+4;"203027";"203027";"Internal combustion engines";""
+4;"203028";"203028";"Thermal engineering";""
+4;"203029";"203029";"Tool construction";""
+4;"203030";"203030";"Fuel cell technology";""
+4;"203031";"203031";"Engineering design";""
+4;"203032";"203032";"Additive manufacturing";""
+4;"203033";"203033";"Hydraulic drive technology";""
+4;"203034";"203034";"Continuum mechanics";""
+4;"203035";"203035";"Thermal processing technology";""
+4;"203036";"203036";"Weapons and munitions technology";""
+4;"203037";"203037";"Computational engineering";""
+4;"203038";"203038";"Ventilation technology";""
+2;"204";"204";"Chemical Process Engineering";""
+3;"2040";"2040";"Chemical Process Engineering";""
+4;"204001";"204001";"Inorganic chemical technology";""
+4;"204002";"204002";"Chemical reaction engineering";""
+4;"204003";"204003";"Chemical process engineering";""
+4;"204004";"204004";"Organic chemical technology";""
+4;"204005";"204005";"Refining technology";""
+4;"204006";"204006";"Mechanical process engineering";""
+4;"204007";"204007";"Thermal process engineering";""
+4;"204008";"204008";"Membrane technology";""
+2;"205";"205";"Materials Engineering";""
+3;"2050";"2050";"Materials Engineering";""
+4;"205001";"205001";"Building materials testing";""
+4;"205002";"205002";"Coating technology";""
+4;"205003";"205003";"Refractories";""
+4;"205004";"205004";"Functional materials";""
+4;"205005";"205005";"Ceramics engineering";""
+4;"205006";"205006";"Wood research";""
+4;"205007";"205007";"Wood preservatives";""
+4;"205008";"205008";"Wood technology";""
+4;"205009";"205009";"Ceramic materials";""
+4;"205010";"205010";"Anticorrosives";""
+4;"205011";"205011";"Polymer engineering";""
+4;"205012";"205012";"Polymer processing";""
+4;"205013";"205013";"Failure analysis";""
+4;"205014";"205014";"Textile technology";""
+4;"205015";"205015";"Composites";""
+4;"205016";"205016";"Materials testing";""
+4;"205017";"205017";"Materials engineering";""
+4;"205018";"205018";"Pulp and paper technology";""
+4;"205019";"205019";"Material sciences";""
+2;"206";"206";"Medical Engineering";""
+3;"2060";"2060";"Medical Engineering";""
+4;"206001";"206001";"Biomedical engineering";""
+4;"206002";"206002";"Electro-medical engineering";""
+4;"206003";"206003";"Medical physics";""
+4;"206004";"206004";"Medical engineering";""
+4;"206005";"206005";"Prosthetics";""
+4;"206006";"206006";"Rehabilitation technology";""
+2;"207";"207";"Environmental Engineering, Applied Geosciences";""
+3;"2071";"2071";"Environmental Engineering";""
+4;"207101";"207101";"Waste engineering";""
+4;"207102";"207102";"Exhaust air purification";""
+4;"207103";"207103";"Wastewater treatment";""
+4;"207104";"207104";"Remediation of contaminated sites";""
+4;"207105";"207105";"Landfill technology";""
+4;"207106";"207106";"Renewable energy";""
+4;"207107";"207107";"Air pollution control";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Pollutant emission";""
+4;"207110";"207110";"Technical environmental protection";""
+4;"207111";"207111";"Environmental engineering";""
+4;"207112";"207112";"Water treatment";""
+4;"207113";"207113";"Water infrastructure";""
+4;"207114";"207114";"Water management";""
+3;"2072";"2072";"Engineering Geology, Geotechnics";""
+4;"207201";"207201";"Soil mechanics";""
+4;"207202";"207202";"Earthworks";""
+4;"207203";"207203";"Rock mechanics";""
+4;"207204";"207204";"Geotechnics";""
+4;"207205";"207205";"Foundation engineering";""
+4;"207206";"207206";"Engineering geology";""
+4;"207207";"207207";"Tunnelling";""
+4;"207208";"207208";"Tunnel ventilation";""
+3;"2073";"2073";"Mining, Petroleum Engineering";""
+4;"207301";"207301";"Processing of mineral raw materials";""
+4;"207302";"207302";"Mining engineering";""
+4;"207303";"207303";"Mining damage";""
+4;"207304";"207304";"Natural gas production";""
+4;"207305";"207305";"Natural gas engineering";""
+4;"207306";"207306";"Petroleum geology";""
+4;"207307";"207307";"Petroleum production";""
+4;"207308";"207308";"Petroleum engineering";""
+4;"207309";"207309";"History of mining";""
+4;"207310";"207310";"Extraction of mineral raw materials";""
+4;"207311";"207311";"Economic geology";""
+4;"207312";"207312";"Mine surveying";""
+4;"207313";"207313";"Drilling engineering";""
+4;"207314";"207314";"Underground mining";""
+3;"2074";"2074";"Geodesy, Surveying";""
+4;"207401";"207401";"3D-surveying";""
+4;"207402";"207402";"Remote sensing";""
+4;"207403";"207403";"Geodesy";""
+4;"207404";"207404";"Geoinformatics";""
+4;"207405";"207405";"Engineering geodesy";""
+4;"207406";"207406";"Cartography";""
+4;"207407";"207407";"Cadastral surveying";""
+4;"207408";"207408";"Land surveying";""
+4;"207409";"207409";"Navigation systems";""
+4;"207410";"207410";"Photogrammetry";""
+4;"207411";"207411";"Satellite geodesy";""
+4;"207412";"207412";"Satellite-based coordinate measuring";""
+4;"207413";"207413";"Surveying";""
+3;"2079";"2079";"Environmental Engineering, Applied Geosciences not elsewhere classified";""
+4;"207901";"207901";"Offshore technology";""
+4;"207902";"207902";"Computational geosciences";""
+2;"208";"208";"Environmental Biotechnology";""
+3;"2080";"2080";"Environmental Biotechnology";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Environmental biotechnology related ethics";""
+4;"208003";"208003";"Environmental biotechnology";""
+2;"209";"209";"Industrial Biotechnology";""
+3;"2090";"2090";"Industrial Biotechnology";""
+4;"209001";"209001";"Biocatalysis";""
+4;"209002";"209002";"Bioprocess technology";""
+4;"209003";"209003";"Biofuels";""
+4;"209004";"209004";"Enzyme technology";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrial biotechnology";""
+2;"210";"210";"Nanotechnology";""
+3;"2100";"2100";"Nanotechnology";""
+4;"210001";"210001";"Nanoanalytics";""
+4;"210002";"210002";"Nanobiotechnology";""
+4;"210003";"210003";"Nanoelectronics";""
+4;"210004";"210004";"Nanomaterials";""
+4;"210005";"210005";"Nanophotonics";""
+4;"210006";"210006";"Nanotechnology";""
+2;"211";"211";"Other Technical Sciences";""
+3;"2111";"2111";"Metallurgy";""
+4;"211101";"211101";"Iron and steel metallurgy";""
+4;"211102";"211102";"Casting technology";""
+4;"211103";"211103";"Physical metallurgy";""
+4;"211104";"211104";"Metallurgy";""
+4;"211105";"211105";"Nonferrous metallurgy";""
+4;"211106";"211106";"Light metals";""
+4;"211107";"211107";"Secondary metallurgy";""
+3;"2112";"2112";"Food Technology";""
+4;"211201";"211201";"Grain technology";""
+4;"211202";"211202";"Food technology";""
+4;"211203";"211203";"Food processing engineering";""
+4;"211204";"211204";"Meat technology";""
+3;"2119";"2119";"Technical Sciences not elsewhere classified";""
+4;"211901";"211901";"Waste prevention";""
+4;"211902";"211902";"Assistive technologies";""
+4;"211903";"211903";"Science of management";""
+4;"211904";"211904";"Biomechanics";""
+4;"211905";"211905";"Bionics";""
+4;"211906";"211906";"Fire protection";""
+4;"211907";"211907";"Energy saving";""
+4;"211908";"211908";"Energy research";""
+4;"211909";"211909";"Energy technology";""
+4;"211910";"211910";"Noise protection";""
+4;"211911";"211911";"Sustainable technologies";""
+4;"211912";"211912";"Product design";""
+4;"211913";"211913";"Quality assurance";""
+4;"211914";"211914";"Risk research";""
+4;"211915";"211915";"Solar technology";""
+4;"211916";"211916";"Blasting engineering";""
+4;"211917";"211917";"Technology assessment";""
+4;"211918";"211918";"Technical history";""
+4;"211919";"211919";"Thermography";""
+4;"211920";"211920";"Packaging technology";""
+4;"211921";"211921";"Civil protection and disaster control";""
+4;"211922";"211922";"Energy storage";""
+4;"211923";"211923";"Factory planning";""
+4;"211924";"211924";"Process and plant safety";""
+4;"211925";"211925";"Explosion research";""
+4;"211926";"211926";"Technology ethics";""
+1;"3";"3";"HUMAN MEDICINE, HEALTH SCIENCES";""
+2;"301";"301";"Medical-Theoretical Sciences, Pharmacy";""
+3;"3011";"3011";"Anatomy, Pathology, Physiology";""
+4;"301101";"301101";"General pathology";""
+4;"301102";"301102";"Anatomy";""
+4;"301103";"301103";"Medical diagnostics";""
+4;"301104";"301104";"Embryology";""
+4;"301105";"301105";"Experimental pathology";""
+4;"301106";"301106";"Functional anatomy";""
+4;"301107";"301107";"Histology";""
+4;"301108";"301108";"Molecular pathology";""
+4;"301109";"301109";"Pathophysiology";""
+4;"301110";"301110";"Physiology";""
+4;"301111";"301111";"Radiologic anatomy";""
+4;"301112";"301112";"Systematic anatomy";""
+4;"301113";"301113";"Topographic anatomy";""
+4;"301114";"301114";"Cell biology";""
+4;"301115";"301115";"Sonoanatomy";""
+3;"3012";"3012";"Pharmacy, Pharmacology, Toxicology";""
+4;"301201";"301201";"Pharmaceutical and drug analysis";""
+4;"301202";"301202";"History of pharmacy";""
+4;"301203";"301203";"Pharmacodynamics";""
+4;"301204";"301204";"Pharmacognosy";""
+4;"301205";"301205";"Pharmacokinetics";""
+4;"301206";"301206";"Pharmacology";""
+4;"301207";"301207";"Pharmaceutical chemistry";""
+4;"301208";"301208";"Pharmaceutical technology";""
+4;"301209";"301209";"Pharmacy";""
+4;"301210";"301210";"Psychopharmacology";""
+4;"301211";"301211";"Toxicology";""
+4;"301212";"301212";"Clinical pharmacy";""
+4;"301213";"301213";"Drug targeting";""
+4;"301214";"301214";"Biopharmacy";""
+4;"301215";"301215";"Drug safety";""
+3;"3013";"3013";"Medical Biochemistry, Human Genetics";""
+4;"301301";"301301";"Human genetics";""
+4;"301302";"301302";"Lipidomics research";""
+4;"301303";"301303";"Medical biochemistry";""
+4;"301304";"301304";"Medical biology";""
+4;"301305";"301305";"Medical chemistry";""
+4;"301306";"301306";"Medical molecular biology";""
+4;"301307";"301307";"Cytogenetics";""
+4;"301308";"301308";"Ageing research";""
+3;"3014";"3014";"Neurosciences";""
+4;"301401";"301401";"Brain research";""
+4;"301402";"301402";"Neurobiology";""
+4;"301403";"301403";"Neurochemistry";""
+4;"301404";"301404";"Neuroimmunology";""
+4;"301405";"301405";"Neuropathology";""
+4;"301406";"301406";"Neuropharmacology";""
+4;"301407";"301407";"Neurophysiology";""
+4;"301408";"301408";"Psychophysiology";""
+4;"301409";"301409";"Neuroanatomy";""
+3;"3019";"3019";"Medical-Theoretical Sciences not elsewhere classified";""
+4;"301901";"301901";"Blood group serology";""
+4;"301902";"301902";"Immunology";""
+4;"301903";"301903";"Vaccine development";""
+4;"301904";"301904";"Cancer research";""
+4;"301905";"301905";"Psychoneuroimmunology";""
+4;"301906";"301906";"Serology";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Clinical Medicine";""
+3;"3020";"3020";"Clinical Medicine";""
+4;"302001";"302001";"Acupuncture";""
+4;"302002";"302002";"Allergology";""
+4;"302003";"302003";"General surgery";""
+4;"302004";"302004";"Anaesthesiology";""
+4;"302005";"302005";"Andrology";""
+4;"302006";"302006";"Angiology";""
+4;"302007";"302007";"Ophthalmology";""
+4;"302008";"302008";"Balneology";""
+4;"302009";"302009";"Chemotherapy";""
+4;"302010";"302010";"Computed tomography (CT)";""
+4;"302011";"302011";"Dermatology";""
+4;"302012";"302012";"Diabetology";""
+4;"302013";"302013";"Medical diagnostics";""
+4;"302014";"302014";"Endocrinology";""
+4;"302015";"302015";"Experimental surgery";""
+4;"302016";"302016";"Gastroenterology";""
+4;"302017";"302017";"Obstetrics";""
+4;"302018";"302018";"Vascular surgery";""
+4;"302019";"302019";"Geriatrics";""
+4;"302020";"302020";"Gerontology";""
+4;"302021";"302021";"History of psychiatry";""
+4;"302022";"302022";"Gynaecology";""
+4;"302023";"302023";"Ear, nose and throat medicine";""
+4;"302024";"302024";"Haematology";""
+4;"302025";"302025";"Hepatology";""
+4;"302026";"302026";"Heart surgery";""
+4;"302027";"302027";"Hearing, voice and language disorders";""
+4;"302028";"302028";"Hyperbaric medicine";""
+4;"302029";"302029";"Implantology";""
+4;"302030";"302030";"Internal medicine";""
+4;"302031";"302031";"Intensive care medicine";""
+4;"302032";"302032";"Cardiology";""
+4;"302033";"302033";"Jaw surgery";""
+4;"302034";"302034";"Orthodontics";""
+4;"302035";"302035";"Paediatrics and adolescent medicine";""
+4;"302036";"302036";"Child and adolescent psychiatry";""
+4;"302037";"302037";"Paediatric surgery";""
+4;"302038";"302038";"Clinical neuropsychology";""
+4;"302039";"302039";"Complementary medicine";""
+4;"302040";"302040";"Laboratory diagnostics";""
+4;"302041";"302041";"Laser surgery";""
+4;"302042";"302042";"Logopedics";""
+4;"302043";"302043";"Magnetic resonance imaging (MRI)";""
+4;"302044";"302044";"Medical physics";""
+4;"302045";"302045";"Medical psychology";""
+4;"302046";"302046";"Medical psychotherapy";""
+4;"302047";"302047";"Microsurgery";""
+4;"302048";"302048";"Minimally invasive surgery";""
+4;"302049";"302049";"Neonatology";""
+4;"302050";"302050";"Nephrology";""
+4;"302051";"302051";"Neurosurgery";""
+4;"302052";"302052";"Neurology";""
+4;"302053";"302053";"Emergency medicine";""
+4;"302054";"302054";"Nuclear medicine";""
+4;"302055";"302055";"Oncology";""
+4;"302056";"302056";"Oncological surgery";""
+4;"302057";"302057";"Orthopaedics";""
+4;"302058";"302058";"Palliative medicine";""
+4;"302059";"302059";"Periodontology";""
+4;"302060";"302060";"Perinatology";""
+4;"302061";"302061";"Physical medicine";""
+4;"302062";"302062";"Plastic and reconstructive surgery";""
+4;"302063";"302063";"Multiple trauma care";""
+4;"302064";"302064";"Prenatal diagnostics";""
+4;"302065";"302065";"Clinical psychiatry";""
+4;"302066";"302066";"Psychopathology";""
+4;"302067";"302067";"Psychosomatics";""
+4;"302068";"302068";"Pulmology";""
+4;"302069";"302069";"Radiosurgery";""
+4;"302070";"302070";"Radiodiagnostics";""
+4;"302071";"302071";"Radiology";""
+4;"302072";"302072";"Rheumatology";""
+4;"302073";"302073";"Sleep medicine";""
+4;"302074";"302074";"Pain medicine";""
+4;"302075";"302075";"Sonography";""
+4;"302076";"302076";"Social psychiatry";""
+4;"302077";"302077";"Stem cell transplantation";""
+4;"302078";"302078";"Metabolic diseases";""
+4;"302079";"302079";"Radiation protection";""
+4;"302080";"302080";"Radiotherapy";""
+4;"302081";"302081";"Thoracic surgery";""
+4;"302082";"302082";"Transfusion medicine";""
+4;"302083";"302083";"Transplant surgery";""
+4;"302084";"302084";"Transplantation medicine";""
+4;"302085";"302085";"Trauma surgery";""
+4;"302086";"302086";"Urology";""
+4;"302087";"302087";"Venereology";""
+4;"302088";"302088";"Dentistry";""
+4;"302089";"302089";"Reproductive medicine";""
+4;"302090";"302090";"General practice";""
+4;"302091";"302091";"Immunotherapy";""
+4;"302092";"302092";"Oral surgery";""
+4;"302093";"302093";"Restorative dentistry";""
+2;"303";"303";"Health Sciences";""
+3;"3030";"3030";"Health Sciences";""
+4;"303001";"303001";"Occupational medicine";""
+4;"303002";"303002";"Bacteriology";""
+4;"303003";"303003";"Occupational diseases";""
+4;"303004";"303004";"Kinesiology";""
+4;"303005";"303005";"Sports biomechanics";""
+4;"303006";"303006";"Dietetics";""
+4;"303007";"303007";"Epidemiology";""
+4;"303008";"303008";"Ergonomics";""
+4;"303009";"303009";"Nutritional sciences";""
+4;"303010";"303010";"Health economics";""
+4;"303011";"303011";"Health policy";""
+4;"303012";"303012";"Health sciences";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Vaccine protection";""
+4;"303015";"303015";"Hospital hygiene";""
+4;"303016";"303016";"Hospital management";""
+4;"303017";"303017";"Food hygiene";""
+4;"303018";"303018";"Air hygiene";""
+4;"303019";"303019";"Medical ethics";""
+4;"303020";"303020";"Medical microbiology";""
+4;"303021";"303021";"Medical rehabilitation";""
+4;"303022";"303022";"Palliative care";""
+4;"303023";"303023";"Parasitology";""
+4;"303024";"303024";"Nursing science";""
+4;"303025";"303025";"Preventive medicine";""
+4;"303026";"303026";"Public health";""
+4;"303027";"303027";"Social medicine";""
+4;"303028";"303028";"Sport science";""
+4;"303029";"303029";"Addiction research";""
+4;"303030";"303030";"Training science";""
+4;"303031";"303031";"Tropical medicine";""
+4;"303032";"303032";"Environmental hygiene";""
+4;"303033";"303033";"Environmental medicine";""
+4;"303034";"303034";"Virology";""
+4;"303035";"303035";"Water hygiene";""
+4;"303036";"303036";"Patient safety";""
+4;"303037";"303037";"Occupational therapy";""
+4;"303038";"303038";"Physiotherapy";""
+4;"303039";"303039";"Radiological technology";""
+4;"303040";"303040";"Health services research";""
+2;"304";"304";"Medical Biotechnology";""
+3;"3040";"3040";"Medical Biotechnology";""
+4;"304001";"304001";"Medical biotechnology related ethics";""
+4;"304002";"304002";"Genetic diagnostics";""
+4;"304003";"304003";"Genetic engineering";""
+4;"304004";"304004";"Gene therapy";""
+4;"304005";"304005";"Medical biotechnology";""
+4;"304006";"304006";"Pharmacogenomics";""
+4;"304007";"304007";"Tissue engineering";""
+4;"304008";"304008";"Regenerative medicine";""
+2;"305";"305";"Other Human Medicine, Health Sciences";""
+3;"3051";"3051";"Forensic Medicine";""
+4;"305101";"305101";"Bloodstain pattern analysis";""
+4;"305102";"305102";"DNA analysis (Forensic medicine)";""
+4;"305103";"305103";"Forensic biology";""
+4;"305104";"305104";"Forensic chemistry";""
+4;"305105";"305105";"Forensic psychiatry";""
+4;"305106";"305106";"Forensic radiology";""
+4;"305107";"305107";"Forensic toxicology";""
+4;"305108";"305108";"Forensic human medicine";""
+4;"305109";"305109";"Forensic anthropology";""
+3;"3059";"3059";"Human Medicine, Health Sciences not elsewhere classified";""
+4;"305901";"305901";"Computer-aided diagnosis and therapy";""
+4;"305902";"305902";"Gender medicine";""
+4;"305903";"305903";"History of medicine";""
+4;"305904";"305904";"Medical documentation";""
+4;"305905";"305905";"Medical informatics";""
+4;"305906";"305906";"Medical cybernetics";""
+4;"305907";"305907";"Medical statistics";""
+4;"305908";"305908";"Sports medicine";""
+4;"305909";"305909";"Stress research";""
+4;"305910";"305910";"Traffic medicine";""
+1;"4";"4";"AGRICULTURAL SCIENCES, VETERINARY MEDICINE";""
+2;"401";"401";"Agriculture and Forestry, Fishery";""
+3;"4011";"4011";"Cultivation of Land, Horticulture";""
+4;"401101";"401101";"Cultivation of land";""
+4;"401102";"401102";"Irrigation management";""
+4;"401103";"401103";"Horticulture";""
+4;"401104";"401104";"Vegetable growing";""
+4;"401105";"401105";"Grain cultivation";""
+4;"401106";"401106";"Landscape conservation";""
+4;"401107";"401107";"Agricultural engineering";""
+4;"401108";"401108";"Fruit growing";""
+4;"401109";"401109";"Organic farming";""
+4;"401110";"401110";"Plant cultivation";""
+4;"401111";"401111";"Plant nutrition";""
+4;"401112";"401112";"Plant protection";""
+4;"401113";"401113";"Plant breeding";""
+4;"401114";"401114";"Seed breeding";""
+4;"401115";"401115";"Seed cultivation";""
+4;"401116";"401116";"Special crops";""
+4;"401117";"401117";"Viticulture";""
+4;"401118";"401118";"Cultivation of ornamental plants";""
+4;"401119";"401119";"Field forage growing";""
+3;"4012";"4012";"Forestry and Wood Industry";""
+4;"401201";"401201";"Forest entomology";""
+4;"401202";"401202";"Forest pathology";""
+4;"401203";"401203";"Forest protection";""
+4;"401204";"401204";"Forest engineering";""
+4;"401205";"401205";"Forestry";""
+4;"401206";"401206";"Wood industry";""
+4;"401207";"401207";"Silviculture";""
+4;"401208";"401208";"Forest ecology";""
+4;"401209";"401209";"Forest growth";""
+3;"4019";"4019";"Agriculture and Forestry, Fishery not elsewhere classified";""
+4;"401901";"401901";"Soil erosion";""
+4;"401902";"401902";"Soil science";""
+4;"401903";"401903";"Fishery";""
+4;"401904";"401904";"History of agriculture and forestry";""
+4;"401905";"401905";"Renewable resources";""
+4;"401906";"401906";"Game management";""
+2;"402";"402";"Animal Breeding, Animal Production";""
+3;"4020";"4020";"Animal Breeding, Animal Production";""
+4;"402001";"402001";"Apiology";""
+4;"402002";"402002";"Ichthyology";""
+4;"402003";"402003";"Meat hygiene";""
+4;"402004";"402004";"Meat production";""
+4;"402005";"402005";"Feed analysis";""
+4;"402006";"402006";"Pet breeding";""
+4;"402007";"402007";"Apiculture";""
+4;"402008";"402008";"Artificial insemination";""
+4;"402009";"402009";"Food testing";""
+4;"402010";"402010";"Milk hygiene";""
+4;"402011";"402011";"Milk production";""
+4;"402012";"402012";"Livestock ethology";""
+4;"402013";"402013";"Animal nutrition";""
+4;"402014";"402014";"Animal husbandry";""
+4;"402015";"402015";"Animal production";""
+4;"402016";"402016";"Animal welfare";""
+4;"402017";"402017";"Animal breeding";""
+4;"402018";"402018";"Laboratory animal science";""
+2;"403";"403";"Veterinary Medicine";""
+3;"4030";"4030";"Veterinary Medicine";""
+4;"403001";"403001";"Veterinary anaesthesiology";""
+4;"403002";"403002";"Veterinary anatomy";""
+4;"403003";"403003";"Veterinary andrology";""
+4;"403004";"403004";"Veterinary ophthalmology";""
+4;"403005";"403005";"Veterinary bacteriology";""
+4;"403006";"403006";"Veterinary diagnostic imaging";""
+4;"403007";"403007";"Veterinary surgery";""
+4;"403008";"403008";"Veterinary diagnostics";""
+4;"403009";"403009";"Veterinary embryology";""
+4;"403010";"403010";"Veterinary obstetrics";""
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+4;"403012";"403012";"History of veterinary medicine";""
+4;"403013";"403013";"Veterinary gynaecology";""
+4;"403014";"403014";"Veterinary histology";""
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+4;"403016";"403016";"Veterinary immunology";""
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+4;"403018";"403018";"Veterinary laboratory diagnostics";""
+4;"403019";"403019";"Veterinary medical biochemistry";""
+4;"403020";"403020";"Veterinary medical chemistry";""
+4;"403021";"403021";"Veterinary neurology";""
+4;"403022";"403022";"Veterinary orthopaedics";""
+4;"403023";"403023";"Veterinary parasitology";""
+4;"403024";"403024";"Veterinary pathology";""
+4;"403025";"403025";"Veterinary pharmacology";""
+4;"403026";"403026";"Veterinary physiology";""
+4;"403027";"403027";"Veterinary phytotherapy";""
+4;"403028";"403028";"Animal nutrition";""
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+4;"403030";"403030";"Veterinary toxicology";""
+4;"403031";"403031";"Veterinary virology";""
+4;"403032";"403032";"Veterinary dentistry";""
+4;"403033";"403033";"Veterinary regenerative medicine";""
+4;"403034";"403034";"Veterinary pain medicine";""
+4;"403035";"403035";"Herd health management";""
+4;"403036";"403036";"Veterinary critical care medicine";""
+2;"404";"404";"Agricultural Biotechnology, Food Biotechnology";""
+3;"4040";"4040";"Agricultural Biotechnology, Food Biotechnology";""
+4;"404001";"404001";"Agricultural biotechnology";""
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+4;"404003";"404003";"Agricultural and food biotechnology related ethics";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"Fermentation technology";""
+4;"404006";"404006";"Genetic engineering";""
+4;"404007";"404007";"Food biotechnology";""
+2;"405";"405";"Other Agricultural Sciences";""
+3;"4050";"4050";"Other Agricultural Sciences";""
+4;"405001";"405001";"Agroecology";""
+4;"405002";"405002";"Agricultural economics";""
+4;"405003";"405003";"Agricultural policy";""
+4;"405004";"405004";"Sustainable agriculture";""
+4;"405005";"405005";"Wildlife science";""
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+4;"405007";"405007";"Wildlife management";""
+1;"5";"5";"SOCIAL SCIENCES";""
+2;"501";"501";"Psychology";""
+3;"5010";"5010";"Psychology";""
+4;"501001";"501001";"General psychology";""
+4;"501002";"501002";"Applied psychology";""
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+4;"501004";"501004";"Differential psychology";""
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+4;"501006";"501006";"Experimental psychology";""
+4;"501007";"501007";"History of psychology";""
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+4;"501013";"501013";"Motivational psychology";""
+4;"501014";"501014";"Neuropsychology";""
+4;"501015";"501015";"Organisational psychology";""
+4;"501016";"501016";"Educational psychology";""
+4;"501017";"501017";"Psychoanalysis";""
+4;"501018";"501018";"Psychological diagnostics";""
+4;"501019";"501019";"Psychotherapy";""
+4;"501020";"501020";"Legal psychology";""
+4;"501021";"501021";"Social psychology";""
+4;"501022";"501022";"Suicidology";""
+4;"501023";"501023";"Depth psychology";""
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+4;"501026";"501026";"Psychology of perception";""
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+4;"502001";"502001";"Labour market policy";""
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+4;"502005";"502005";"Economics of education";""
+4;"502006";"502006";"Controlling";""
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+4;"502010";"502010";"Public finance";""
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+4;"502013";"502013";"Industrial economics";""
+4;"502014";"502014";"Innovation research";""
+4;"502015";"502015";"Innovation management";""
+4;"502016";"502016";"SME-research";""
+4;"502017";"502017";"Logistics";""
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+4;"502021";"502021";"Microeconomics";""
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+4;"502023";"502023";"NPO research";""
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+4;"502028";"502028";"Production management";""
+4;"502029";"502029";"Product management";""
+4;"502030";"502030";"Project management";""
+4;"502031";"502031";"Public management";""
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+4;"502035";"502035";"Auditing and trusts";""
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+4;"502050";"502050";"Business informatics";""
+4;"502051";"502051";"Economic statistics";""
+4;"502052";"502052";"Business administration";""
+4;"502053";"502053";"Economics";""
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+4;"503005";"503005";"Vocational education";""
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+4;"503011";"503011";"Subject didactics of humanities";""
+4;"503012";"503012";"Subject didactics of human medicine and health sciences";""
+4;"503013";"503013";"Subject didactics of natural sciences";""
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+2;"504";"504";"Sociology";""
+3;"5040";"5040";"Sociology";""
+4;"504001";"504001";"General sociology";""
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+4;"504004";"504004";"Population statistics";""
+4;"504005";"504005";"Educational sociology";""
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+4;"504008";"504008";"Ethnography";""
+4;"504009";"504009";"Ethnology";""
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+4;"504012";"504012";"Leisure research";""
+4;"504013";"504013";"Gender mainstreaming";""
+4;"504014";"504014";"Gender studies";""
+4;"504015";"504015";"History of sociology";""
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+4;"504022";"504022";"Music sociology";""
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+4;"505006";"505006";"Fundamental rights";""
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+4;"505013";"505013";"Private law";""
+4;"505014";"505014";"Legal history";""
+4;"505015";"505015";"Legal informatics";""
+4;"505016";"505016";"Legal theory";""
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+4;"505019";"505019";"Roman law";""
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+4;"505022";"505022";"Tax law";""
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+4;"505024";"505024";"Criminal law";""
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+4;"505051";"505051";"Legal ethics";""
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+2;"506";"506";"Political Science";""
+3;"5060";"5060";"Political Science";""
+4;"506001";"506001";"General theory of the state";""
+4;"506002";"506002";"E-government";""
+4;"506003";"506003";"Development policy";""
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+4;"506010";"506010";"Policy analysis";""
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+4;"506012";"506012";"Political systems";""
+4;"506013";"506013";"Political theory";""
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+4;"506017";"506017";"Science and technology policy";""
+4;"506018";"506018";"Terrorism research";""
+2;"507";"507";"Human Geography, Regional Geography, Regional Planning";""
+3;"5070";"5070";"Human Geography, Regional Geography, Regional Planning";""
+4;"507001";"507001";"Applied geography";""
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+4;"507003";"507003";"Geoinformatics";""
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+4;"507006";"507006";"Cultural landscape research";""
+4;"507007";"507007";"Land use planning";""
+4;"507008";"507008";"Landscape planning";""
+4;"507009";"507009";"Regional planning";""
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+4;"507011";"507011";"Spatial research";""
+4;"507012";"507012";"Spatial structure";""
+4;"507013";"507013";"Regional geography";""
+4;"507014";"507014";"Regional development";""
+4;"507015";"507015";"Regional research";""
+4;"507016";"507016";"Regional economy";""
+4;"507017";"507017";"Social geography";""
+4;"507018";"507018";"Urban and village renewal";""
+4;"507019";"507019";"Urban development planning";""
+4;"507020";"507020";"Urbanism";""
+4;"507021";"507021";"Urban history";""
+4;"507022";"507022";"Urban planning";""
+4;"507023";"507023";"Location development";""
+4;"507024";"507024";"Environmental policy";""
+4;"507025";"507025";"Transport planning";""
+4;"507026";"507026";"Economic geography";""
+4;"507027";"507027";"Sustainable urban development";""
+4;"507028";"507028";"Cartography";""
+4;"507029";"507029";"Urban ecology";""
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+3;"5080";"5080";"Media and Communication Sciences";""
+4;"508001";"508001";"Archive studies";""
+4;"508002";"508002";"Audiovisual media";""
+4;"508003";"508003";"Library science";""
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+4;"508009";"508009";"Media research";""
+4;"508010";"508010";"Media history";""
+4;"508011";"508011";"Media theory";""
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+4;"508013";"508013";"Public relations";""
+4;"508014";"508014";"Journalism";""
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+4;"508018";"508018";"Reception research";""
+4;"508019";"508019";"Media ethics";""
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+4;"508021";"508021";"Media studies";""
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+4;"509004";"509004";"Evaluation research";""
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+4;"509007";"509007";"Graffiti research";""
+4;"509008";"509008";"Child research, youth research";""
+4;"509009";"509009";"Military strategic research";""
+4;"509010";"509010";"Minority research";""
+4;"509011";"509011";"Organisational development";""
+4;"509012";"509012";"Social policy";""
+4;"509013";"509013";"Social statistics";""
+4;"509014";"509014";"Game research";""
+4;"509015";"509015";"Accident research";""
+4;"509016";"509016";"Transport economics";""
+4;"509017";"509017";"Social studies of science";""
+4;"509018";"509018";"Knowledge management";""
+4;"509019";"509019";"Futurology";""
+4;"509020";"509020";"Military ethics";""
+4;"509021";"509021";"Military science";""
+4;"509022";"509022";"Polemology";""
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+4;"509026";"509026";"Digitalisation research";""
+1;"6";"6";"HUMANITIES";""
+2;"601";"601";"History, Archaeology";""
+3;"6010";"6010";"History, Archaeology";""
+4;"601001";"601001";"Ancient history";""
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+4;"601003";"601003";"Archaeology";""
+4;"601004";"601004";"Epigraphy";""
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+4;"601006";"601006";"Early history";""
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+4;"601008";"601008";"Science of history";""
+4;"601009";"601009";"Historical auxiliary sciences";""
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+4;"601012";"601012";"Medieval history";""
+4;"601013";"601013";"Museology";""
+4;"601014";"601014";"Modern history";""
+4;"601015";"601015";"Numismatics";""
+4;"601016";"601016";"Austrian history";""
+4;"601017";"601017";"Palaeography";""
+4;"601018";"601018";"Papyrology";""
+4;"601019";"601019";"Source studies";""
+4;"601020";"601020";"Regional history";""
+4;"601021";"601021";"Prehistory";""
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+4;"601023";"601023";"Global history";""
+4;"601024";"601024";"Archaeological prospection";""
+4;"601025";"601025";"Experimental archaeology";""
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+4;"601027";"601027";"Deserted settlement research";""
+4;"601028";"601028";"Gender history";""
+4;"601029";"601029";"Social history";""
+2;"602";"602";"Linguistics and Literature";""
+3;"6020";"6020";"Linguistics and Literature";""
+4;"602001";"602001";"African studies";""
+4;"602002";"602002";"Egyptology";""
+4;"602003";"602003";"General literature studies";""
+4;"602004";"602004";"General linguistics";""
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+4;"602006";"602006";"Applied literature studies";""
+4;"602007";"602007";"Applied linguistics";""
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+4;"602009";"602009";"Arabic studies";""
+4;"602010";"602010";"Byzantine studies";""
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+4;"602012";"602012";"Finno-Ugrian studies";""
+4;"602013";"602013";"Sign language research";""
+4;"602014";"602014";"German studies";""
+4;"602015";"602015";"Greek studies";""
+4;"602016";"602016";"Hermeneutics";""
+4;"602017";"602017";"Indo-European studies";""
+4;"602018";"602018";"Indology";""
+4;"602019";"602019";"Iranian studies";""
+4;"602020";"602020";"Japanese studies";""
+4;"602021";"602021";"Yiddish studies";""
+4;"602022";"602022";"Jewish studies";""
+4;"602023";"602023";"Celtic studies";""
+4;"602024";"602024";"Classical philology";""
+4;"602025";"602025";"Clinical linguistics";""
+4;"602026";"602026";"Cognitive linguistics";""
+4;"602027";"602027";"Coptic studies";""
+4;"602028";"602028";"Korean studies";""
+4;"602029";"602029";"Latin studies";""
+4;"602030";"602030";"Lexicography";""
+4;"602031";"602031";"History of literature";""
+4;"602032";"602032";"Dialectology";""
+4;"602033";"602033";"Onomastics";""
+4;"602034";"602034";"Dutch studies";""
+4;"602035";"602035";"Modern Greek studies";""
+4;"602036";"602036";"Neurolinguistics";""
+4;"602037";"602037";"Oriental studies";""
+4;"602038";"602038";"Phonetics";""
+4;"602039";"602039";"Phonology";""
+4;"602040";"602040";"Psycholinguistics";""
+4;"602041";"602041";"Rhetoric";""
+4;"602042";"602042";"Romance studies";""
+4;"602043";"602043";"Semiotics";""
+4;"602044";"602044";"Semitic studies";""
+4;"602045";"602045";"Sinology";""
+4;"602046";"602046";"Scandinavian studies";""
+4;"602047";"602047";"Slavonic studies";""
+4;"602048";"602048";"Sociolinguistics";""
+4;"602049";"602049";"Terminology science";""
+4;"602050";"602050";"Tibetan studies";""
+4;"602051";"602051";"Translation studies";""
+4;"602052";"602052";"Turkish studies";""
+4;"602053";"602053";"Comparative literature studies";""
+4;"602054";"602054";"Comparative linguistics";""
+4;"602055";"602055";"Patholinguistics";""
+4;"602056";"602056";"Ancient Oriental studies";""
+4;"602057";"602057";"Historical linguistics";""
+4;"602058";"602058";"Corpus linguistics";""
+4;"602059";"602059";"Writing studies";""
+2;"603";"603";"Philosophy, Ethics, Religion";""
+3;"6031";"6031";"Philosophy, Ethics";""
+4;"603101";"603101";"Aesthetics";""
+4;"603102";"603102";"Epistemology";""
+4;"603103";"603103";"Ethics";""
+4;"603104";"603104";"History of philosophy";""
+4;"603105";"603105";"Philosophy of history";""
+4;"603106";"603106";"Hermeneutics";""
+4;"603107";"603107";"Critique of ideology";""
+4;"603108";"603108";"Cultural philosophy";""
+4;"603109";"603109";"Logic";""
+4;"603110";"603110";"Metaphysics";""
+4;"603111";"603111";"Natural philosophy";""
+4;"603112";"603112";"Phenomenology";""
+4;"603113";"603113";"Philosophy";""
+4;"603114";"603114";"Philosophy of mind";""
+4;"603115";"603115";"Philosophical anthropology";""
+4;"603116";"603116";"Political philosophy";""
+4;"603117";"603117";"Philosophy of law";""
+4;"603118";"603118";"Philosophy of religion";""
+4;"603119";"603119";"Social philosophy";""
+4;"603120";"603120";"Philosophy of language";""
+4;"603121";"603121";"Political philosophy";""
+4;"603122";"603122";"Philosophy of technology";""
+4;"603123";"603123";"History of science";""
+4;"603124";"603124";"Theory of science";""
+4;"603125";"603125";"Metaethics";""
+4;"603126";"603126";"Intercultural philosophy";""
+3;"6032";"6032";"Theology";""
+4;"603201";"603201";"Old Testament studies";""
+4;"603202";"603202";"Christian archaeology";""
+4;"603203";"603203";"Christian philosophy";""
+4;"603204";"603204";"Christian social ethics";""
+4;"603205";"603205";"Dogmatic theology";""
+4;"603206";"603206";"Fundamental theology";""
+4;"603207";"603207";"Homiletics";""
+4;"603208";"603208";"Intercultural theology";""
+4;"603209";"603209";"Canon law";""
+4;"603210";"603210";"Catechetics";""
+4;"603211";"603211";"Church history";""
+4;"603212";"603212";"Liturgical studies";""
+4;"603213";"603213";"Moral theology";""
+4;"603214";"603214";"New Testament studies";""
+4;"603215";"603215";"Ecumenical theology";""
+4;"603216";"603216";"Pastoral psychology";""
+4;"603217";"603217";"Pastoral theology";""
+4;"603218";"603218";"Patrology";""
+4;"603219";"603219";"Practical theology";""
+4;"603220";"603220";"Pastoral care";""
+4;"603221";"603221";"Spiritual theology";""
+4;"603222";"603222";"Systematic theology";""
+4;"603223";"603223";"Theological anthropology";""
+3;"6039";"6039";"Religion, Religious Studies not elsewhere classified";""
+4;"603901";"603901";"Atheism";""
+4;"603902";"603902";"Buddhism";""
+4;"603903";"603903";"Exegesis";""
+4;"603904";"603904";"Hinduism";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"Jewish religion";""
+4;"603907";"603907";"Church law";""
+4;"603908";"603908";"History of religion";""
+4;"603909";"603909";"Religious studies";""
+4;"603910";"603910";"Psychology of religion";""
+2;"604";"604";"Arts";""
+3;"6040";"6040";"Arts";""
+4;"604001";"604001";"Applied arts";""
+4;"604002";"604002";"Architectural design";""
+4;"604003";"604003";"Performance practice";""
+4;"604004";"604004";"Fine arts";""
+4;"604005";"604005";"Stage design";""
+4;"604006";"604006";"Performing arts";""
+4;"604007";"604007";"Historic preservation";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusicology";""
+4;"604010";"604010";"Film design";""
+4;"604011";"604011";"Film studies";""
+4;"604012";"604012";"Photography";""
+4;"604013";"604013";"Garden art";""
+4;"604014";"604014";"Singing";""
+4;"604015";"604015";"Industrial design";""
+4;"604016";"604016";"Jazz studies";""
+4;"604017";"604017";"Church music";""
+4;"604018";"604018";"Conservation, restoration";""
+4;"604019";"604019";"Art history";""
+4;"604020";"604020";"Art theory";""
+4;"604021";"604021";"Media arts";""
+4;"604022";"604022";"Music history";""
+4;"604023";"604023";"Music theory";""
+4;"604024";"604024";"Musicology";""
+4;"604025";"604025";"Popular music studies";""
+4;"604026";"604026";"Spatial arts";""
+4;"604027";"604027";"Scenography";""
+4;"604028";"604028";"Dance studies";""
+4;"604029";"604029";"Theatre studies";""
+4;"604030";"604030";"Folk music research";""
+4;"604031";"604031";"Historical technology";""
+4;"604032";"604032";"Instrumental studies";""
+4;"604033";"604033";"Composition";""
+4;"604034";"604034";"Music theatre";""
+4;"604035";"604035";"Organ research";""
+4;"604036";"604036";"Provenance research";""
+4;"604037";"604037";"Collection care";""
+4;"604038";"604038";"Digital arts";""
+4;"604039";"604039";"Computer music";""
+4;"604040";"604040";"Interpretation research";""
+4;"604041";"604041";"Fashion design";""
+2;"605";"605";"Other Humanities";""
+3;"6050";"6050";"Other Humanities";""
+4;"605001";"605001";"History of humanities";""
+4;"605002";"605002";"Cultural history";""
+4;"605003";"605003";"Cultural economics";""
+4;"605004";"605004";"Cultural studies";""
+4;"605005";"605005";"Audience research";""
+4;"605006";"605006";"Cultural management";""
+4;"605007";"605007";"Digital humanities";""
+4;"605008";"605008";"Cultural heritage";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/config.yml b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..33dad9c2158daaf06a805cb2676e716e7573b30a
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/config.yml
@@ -0,0 +1,16 @@
+#
+# YAML Config
+# regarding type DC_OAI_PMH or LOM_OAI_PMH
+#
+
+#
+# FS stuff
+fs:
+ oefos:
+ 2002:
+ de: 'etc/targets/oaiingest_lom/oefos/OEFOS2002_DE_CTI_20171007_030417.txt'
+ en: 'etc/targets/oaiingest_lom/oefos/OEFOS2002_EN_CTI_20171007_030424.txt'
+ 2012:
+ de: 'etc/targets/oaiingest_lom/oefos/OEFOS2012_DE_CTI_20211111_154218.txt'
+ en: 'etc/targets/oaiingest_lom/oefos/OEFOS2012_EN_CTI_20211111_154228.txt'
+
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2002_DE_CTI_20171007_030417.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2002_DE_CTI_20171007_030417.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a9f80aa93a3b89ea2bf4edecdcc66cf2ba0557e6
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2002_DE_CTI_20171007_030417.txt
@@ -0,0 +1,1667 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURWISSENSCHAFTEN";""
+2;"11";"11";"Mathematik, Informatik";""
+3;"1101";"1101";"ADV, EDV";""
+3;"1102";"1102";"Algebra";""
+3;"1103";"1103";"Analysis";""
+3;"1104";"1104";"Angewandte Mathematik";""
+3;"1105";"1105";"Computer Software";""
+3;"1106";"1106";"Formale Sprachen";""
+3;"1107";"1107";"Geometrie";""
+3;"1108";"1108";"Informatik";""
+3;"1109";"1109";"Informations- und Datenverarbeitung";""
+3;"1110";"1110";"Kybernetik";""
+3;"1111";"1111";"Logik";""
+3;"1112";"1112";"Logistik";""
+3;"1113";"1113";"Mathematische Statistik";""
+3;"1114";"1114";"Numerische Mathematik";""
+3;"1115";"1115";"Technische Mathematik";""
+3;"1116";"1116";"Topologie";""
+3;"1117";"1117";"Versicherungsmathematik";""
+3;"1118";"1118";"Wahrscheinlichkeitstheorie";""
+3;"1119";"1119";"Zahlentheorie";""
+3;"1120";"1120";"Kombinatorik";""
+3;"1121";"1121";"Operations Research";""
+3;"1122";"1122";"Artificial Intelligence";""
+3;"1123";"1123";"Computerunterst�tztes Entwerfen, - Produzieren (CAD/CAM)";""
+3;"1124";"1124";"Digitale Bildverarbeitung und Graphik";""
+3;"1125";"1125";"Computerintegrierte Fertigung (CIM)";""
+3;"1126";"1126";"Computer-Netzwerke";""
+3;"1127";"1127";"Informationswissenschaft";""
+3;"1128";"1128";"Supercomputing";""
+3;"1129";"1129";"Mechatronik";""
+3;"1130";"1130";"Biomathematik";""
+3;"1131";"1131";"Computer Algebra";""
+3;"1132";"1132";"Computerunterst�tzte Animation";""
+3;"1133";"1133";"Computerunterst�tzte Simulation";""
+3;"1134";"1134";"Computer Supported Cooperative Work (CSCW)";""
+3;"1135";"1135";"Differentialgeometrie";""
+3;"1136";"1136";"Entwurf integrierter Schaltungen";""
+3;"1137";"1137";"Finanzmathematik";""
+3;"1138";"1138";"Informationssysteme";""
+3;"1139";"1139";"Neuronale (Neurale) Netze";""
+3;"1140";"1140";"Software-Engineering";""
+3;"1141";"1141";"Symbolic Computation";""
+3;"1142";"1142";"Systemtheorie";""
+3;"1143";"1143";"Terminologie(-wissenschaft)";""
+3;"1144";"1144";"Virtual Reality";""
+3;"1145";"1145";"Zeitreihenanalyse";""
+3;"1146";"1146";"Wirtschaftsinformatik";""
+3;"1147";"1147";"Sicherheit in der Informationstechnik (IT-Sicherheit)";""
+3;"1148";"1148";"Computerlinguistik";""
+3;"1149";"1149";"Elektronische Sprachverarbeitung";""
+3;"1150";"1150";"Informations-Design";""
+3;"1151";"1151";"Numeric Computation";""
+3;"1152";"1152";"Spieltheorie";""
+3;"1153";"1153";"Rechtsinformatik";""
+3;"1154";"1154";"Angewandte Geometrie";""
+3;"1155";"1155";"Bildwissenschaft";""
+3;"1156";"1156";"Web-Engineering";""
+3;"1157";"1157";"Usability Research";""
+3;"1158";"1158";"Verteilte Systeme";""
+3;"1159";"1159";"Bioinformatik";""
+3;"1160";"1160";"Grid Computing";""
+3;"1161";"1161";"Human-Computer Interaction";""
+3;"1162";"1162";"Statistik";""
+3;"1163";"1163";"Geschichte der Mathematik";""
+3;"1164";"1164";"Pervasive Computing";""
+3;"1165";"1165";"Stochastik";""
+2;"12";"12";"Physik, Mechanik, Astronomie";""
+3;"1201";"1201";"Allgemeine Mechanik";""
+3;"1202";"1202";"Akustik";""
+3;"1203";"1203";"Angewandte Physik";""
+3;"1204";"1204";"Astronomie";""
+3;"1205";"1205";"Astrophysik";""
+3;"1206";"1206";"Atom-, Kernphysik";""
+3;"1207";"1207";"Biophysik";""
+3;"1208";"1208";"Elementarteilchenphysik";""
+3;"1209";"1209";"Experimentalphysik";""
+3;"1210";"1210";"Festk�rperphysik";""
+3;"1211";"1211";"Hochenergiephysik";""
+3;"1212";"1212";"Kern-, Atomenergie";""
+3;"1213";"1213";"Optik";""
+3;"1214";"1214";"Physikalische Elektronik";""
+3;"1215";"1215";"Quantenmechanik";""
+3;"1217";"1217";"Reaktorphysik";""
+3;"1218";"1218";"Relativit�tstheorie";""
+3;"1219";"1219";"Strahlenschutz";""
+3;"1220";"1220";"Str�mungslehre";""
+3;"1221";"1221";"Technische Physik";""
+3;"1222";"1222";"Theoretische Physik";""
+3;"1223";"1223";"Weltraumforschung";""
+3;"1224";"1224";"Elektronenphysik";""
+3;"1225";"1225";"Mathematische Physik";""
+3;"1226";"1226";"Neutronenphysik";""
+3;"1227";"1227";"Photophysik";""
+3;"1228";"1228";"Plasmaphysik";""
+3;"1229";"1229";"Halbleiterphysik";""
+3;"1230";"1230";"Laserphysik";""
+3;"1231";"1231";"Metallphysik";""
+3;"1232";"1232";"Biomechanik";""
+3;"1233";"1233";"Bruchmechanik";""
+3;"1234";"1234";"Dosimetrie";""
+3;"1235";"1235";"Ionenphysik";""
+3;"1237";"1237";"Laserspektroskopie";""
+3;"1238";"1238";"Oberfl�chenphysik";""
+3;"1239";"1239";"Polymerphysik";""
+3;"1240";"1240";"Statistische Physik";""
+3;"1241";"1241";"Mechatronik";""
+3;"1242";"1242";"Massenspektrometrie";""
+3;"1243";"1243";"Mikromechanik (auch: - der Werkstoffe)";""
+3;"1244";"1244";"Mittelenergiephysik";""
+3;"1245";"1245";"Nanotechnologie";""
+3;"1246";"1246";"Quantenoptik";""
+3;"1247";"1247";"Reaktionskinetik";""
+3;"1248";"1248";"Spektroskopie (auch: Molek�l-)";""
+3;"1249";"1249";"Strahlenphysik";""
+3;"1250";"1250";"Materialphysik";""
+3;"1251";"1251";"Kondensierte Materie";""
+3;"1252";"1252";"Kontinuumsmechanik";""
+3;"1253";"1253";"Magnetismus";""
+3;"1254";"1254";"Quantenfeldtheorie";""
+2;"13";"13";"Chemie";""
+3;"1301";"1301";"Allgemeine Chemie";""
+3;"1302";"1302";"Analytische Chemie";""
+3;"1303";"1303";"Anorganische Chemie";""
+3;"1304";"1304";"Biochemie";""
+3;"1305";"1305";"Biochemische Technologie";""
+3;"1306";"1306";"Chemische Technologie";""
+3;"1307";"1307";"Elektrochemie";""
+3;"1308";"1308";"Lebensmittelchemie";""
+3;"1309";"1309";"Mikrochemie";""
+3;"1310";"1310";"Organische Chemie";""
+3;"1311";"1311";"Photochemie";""
+3;"1312";"1312";"Physikalische Chemie";""
+3;"1313";"1313";"Radiochemie";""
+3;"1314";"1314";"Strahlenchemie";""
+3;"1315";"1315";"Strukturchemie";""
+3;"1316";"1316";"Technische Chemie";""
+3;"1317";"1317";"Theoretische Chemie";""
+3;"1318";"1318";"Festk�rperchemie";""
+3;"1319";"1319";"Gerichtliche Chemie";""
+3;"1320";"1320";"Biotechnologie";""
+3;"1321";"1321";"Makromolekulare Chemie";""
+3;"1322";"1322";"Oberfl�chenchemie";""
+3;"1323";"1323";"Polymerchemie";""
+3;"1324";"1324";"R�ntgenfluoreszenz (-analyse)";""
+3;"1325";"1325";"Enzymtechnologie";""
+3;"1326";"1326";"Korrosionsschutz";""
+3;"1327";"1327";"Spektroskopie (auch: Molek�l-)";""
+3;"1328";"1328";"Reaktionskinetik";""
+3;"1329";"1329";"Umweltchemie";""
+3;"1330";"1330";"Strukturbiologie";""
+3;"1331";"1331";"Biokatalyse";""
+3;"1332";"1332";"Chemische Biologie";""
+3;"1333";"1333";"Naturstoffchemie";""
+3;"1334";"1334";"Organometallchemie";""
+2;"14";"14";"Biologie, Botanik, Zoologie";""
+3;"1401";"1401";"Allgemeine Biologie";""
+3;"1402";"1402";"Biochemie";""
+3;"1403";"1403";"Biophysik";""
+3;"1404";"1404";"Botanik";""
+3;"1405";"1405";"Zellbiologie (Cytologie)";""
+3;"1406";"1406";"Experimentelle Zoologie";""
+3;"1407";"1407";"Genetik";""
+3;"1408";"1408";"Geobotanik";""
+3;"1409";"1409";"Humanbiologie";""
+3;"1410";"1410";"Mikrobiologie";""
+3;"1411";"1411";"Molekularbiologie";""
+3;"1412";"1412";"�kologie der Pflanzen";""
+3;"1413";"1413";"�kologie der Tiere";""
+3;"1414";"1414";"�kosystemforschung";""
+3;"1415";"1415";"Pal�obotanik";""
+3;"1416";"1416";"Pal�ontologie";""
+3;"1417";"1417";"Pflanzenanatomie";""
+3;"1418";"1418";"Pflanzenphysiologie";""
+3;"1419";"1419";"Phytotechnologie";""
+3;"1420";"1420";"Tieranatomie";""
+3;"1421";"1421";"Tierphysiologie";""
+3;"1422";"1422";"Vergleichende Verhaltensforschung (Ethologie)";""
+3;"1423";"1423";"Zoologie";""
+3;"1424";"1424";"Zoophysiologie";""
+3;"1425";"1425";"Entwicklungsgeschichte";""
+3;"1426";"1426";"Evolution";""
+3;"1427";"1427";"Pflanzenmorphologie";""
+3;"1428";"1428";"Phytochemie";""
+3;"1429";"1429";"Systematische Botanik";""
+3;"1430";"1430";"Tiergeographie";""
+3;"1431";"1431";"Tiersystematik";""
+3;"1432";"1432";"Biotechnologie";""
+3;"1433";"1433";"Gentechnik, -technologie";""
+3;"1434";"1434";"Biomechanik";""
+3;"1435";"1435";"Mykologie";""
+3;"1436";"1436";"Ultrastrukturforschung";""
+3;"1437";"1437";"Vegetationskunde";""
+3;"1438";"1438";"Biomathematik";""
+3;"1439";"1439";"Chronobiologie";""
+3;"1440";"1440";"Enzymtechnologie";""
+3;"1441";"1441";"Nanotechnologie";""
+3;"1442";"1442";"Spektroskopie (auch: Molek�l-)";""
+3;"1443";"1443";"Photobiologie";""
+3;"1444";"1444";"DNA-Analyse (auch: genetischer Fingerabdruck)";""
+3;"1445";"1445";"Faunistik";""
+3;"1446";"1446";"Gef��biologie";""
+3;"1447";"1447";"Neurobiologie";""
+3;"1448";"1448";"Stammzellenforschung";""
+3;"1449";"1449";"Strahlenbiologie";""
+3;"1450";"1450";"Proteomik";""
+3;"1451";"1451";"Strukturbiologie";""
+3;"1452";"1452";"Biodiversit�tsforschung";""
+3;"1453";"1453";"Biologische Anthropologie";""
+3;"1454";"1454";"Genomik";""
+3;"1455";"1455";"Theoretische Biologie";""
+3;"1456";"1456";"Bioinformatik";""
+3;"1457";"1457";"Entwicklungsbiologie";""
+3;"1458";"1458";"Phylogenie";""
+3;"1459";"1459";"Reproduktionsbiologie";""
+3;"1460";"1460";"Biostatistik";""
+3;"1461";"1461";"Chemische Biologie";""
+3;"1462";"1462";"Ersatzmethoden zu Tierversuchen";""
+3;"1463";"1463";"Glykobiolobie";""
+3;"1464";"1464";"Limnologie";""
+3;"1465";"1465";"Populationsgenetik";""
+3;"1466";"1466";"Versuchstierkunde, -zucht";""
+2;"15";"15";"Geologie, Mineralogie";""
+3;"1501";"1501";"Baugeologie";""
+3;"1502";"1502";"Erd�lgeologie";""
+3;"1503";"1503";"Geodynamik";""
+3;"1504";"1504";"Geologie";""
+3;"1505";"1505";"Geophysik";""
+3;"1507";"1507";"Kristallographie";""
+3;"1508";"1508";"Mineralogie";""
+3;"1509";"1509";"Montangeologie";""
+3;"1510";"1510";"Pal�ontologie";""
+3;"1511";"1511";"Petrographie";""
+3;"1512";"1512";"Sedimentologie";""
+3;"1513";"1513";"Strukturchemie";""
+3;"1514";"1514";"Technische Geologie";""
+3;"1515";"1515";"Tektonik";""
+3;"1516";"1516";"Bodenkunde, -schutz";""
+3;"1517";"1517";"Geochemie";""
+3;"1518";"1518";"Geothermie";""
+3;"1519";"1519";"Glaziologie";""
+3;"1520";"1520";"Geomorphologie";""
+3;"1521";"1521";"Gravimetrie";""
+3;"1522";"1522";"Magnetik";""
+3;"1523";"1523";"Seismik";""
+3;"1524";"1524";"Erosion (auch: Erosionskunde, -schutz)";""
+3;"1525";"1525";"Wildbach- und Lawinenkunde (-forschung)";""
+3;"1526";"1526";"Petrologie";""
+3;"1527";"1527";"Kulturgeologie";""
+3;"1528";"1528";"Geostatistik";""
+3;"1529";"1529";"Ingenieurgeologie";""
+3;"1530";"1530";"Stratigraphie";""
+2;"16";"16";"Meteorologie, Klimatologie";""
+3;"1601";"1601";"Geophysik";""
+3;"1602";"1602";"Klimatologie";""
+3;"1603";"1603";"Meteorologie";""
+3;"1604";"1604";"Weltraumforschung";""
+3;"1605";"1605";"Glaziologie";""
+3;"1606";"1606";"Bioklimatologie";""
+3;"1607";"1607";"Agrarmeteorologie";""
+3;"1608";"1608";"Erderw�rmung, globale -";""
+2;"17";"17";"Hydrologie, Hydrographie";""
+3;"1701";"1701";"Abwasserreinigung";""
+3;"1702";"1702";"Gew�sserreinigung";""
+3;"1703";"1703";"Gew�sserschutz";""
+3;"1704";"1704";"Hydromechanik";""
+3;"1705";"1705";"Hydrobiologie";""
+3;"1706";"1706";"Hydrogeologie";""
+3;"1707";"1707";"Hydrographie";""
+3;"1708";"1708";"Hydrologie";""
+3;"1709";"1709";"Limnologie";""
+3;"1710";"1710";"Mikrobiologie";""
+3;"1711";"1711";"Spel�ologie";""
+3;"1712";"1712";"Wasserhygiene";""
+3;"1713";"1713";"Wassertechnologie";""
+3;"1714";"1714";"Wasseruntersuchung";""
+3;"1715";"1715";"Wasserversorgung";""
+3;"1716";"1716";"Wasserwirtschaft";""
+3;"1717";"1717";"Grundwasserwirtschaft";""
+3;"1718";"1718";"Erosion (auch: Erosionskunde, -schutz)";""
+3;"1719";"1719";"Wildbach- und Lawinenkunde (-forschung)";""
+3;"1720";"1720";"Hochwasser (-schutz)";""
+3;"1721";"1721";"Hydrochemie";""
+2;"18";"18";"Geographie";""
+3;"1801";"1801";"Angewandte Geographie";""
+3;"1802";"1802";"Kartographie";""
+3;"1803";"1803";"Kulturgeographie";""
+3;"1804";"1804";"Regionale Geographie";""
+3;"1805";"1805";"Physische Geographie";""
+3;"1806";"1806";"Topographie";""
+3;"1807";"1807";"Wirtschaftsgeographie";""
+3;"1808";"1808";"Glaziologie";""
+3;"1809";"1809";"Sozialgeographie";""
+3;"1810";"1810";"Geographische Informationssysteme (GIS)";""
+3;"1811";"1811";"Politische Geographie";""
+3;"1812";"1812";"Regionalentwicklung, -splanung";""
+3;"1813";"1813";"Bev�lkerungsgeographie";""
+3;"1814";"1814";"Geomorphologie";""
+2;"19";"19";"Sonstige und interdisziplin�re Naturwissenschaften";""
+3;"1901";"1901";"Elektronenmikroskopie";""
+3;"1902";"1902";"Gaschromatographie";""
+3;"1903";"1903";"Lebensmitteluntersuchung";""
+3;"1904";"1904";"Naturwissenschaften interdisziplin�r";""
+3;"1905";"1905";"Naturwissenschaftliche Dokumentation";""
+3;"1906";"1906";"R�ntgenstrukturanalyse";""
+3;"1907";"1907";"Umweltforschung";""
+3;"1908";"1908";"Bodenkunde, -schutz";""
+3;"1909";"1909";"Rohstoffforschung, -wirtschaft";""
+3;"1910";"1910";"Altlastensanierung";""
+3;"1911";"1911";"Arch�ometrie";""
+3;"1912";"1912";"Dosimetrie";""
+3;"1913";"1913";"Fachdidaktik (Naturwissenschaften)";""
+3;"1914";"1914";"Isotopentechnik";""
+3;"1915";"1915";"Computerunterst�tzte Simulation";""
+3;"1916";"1916";"�kotechnik (""Ecotech"")";""
+3;"1917";"1917";"Umweltschutz";""
+3;"1918";"1918";"Risikoforschung";""
+3;"1919";"1919";"Informations-Design";""
+3;"1920";"1920";"Luftreinhaltung";""
+3;"1921";"1921";"�kologische Langzeitforschung";""
+3;"1922";"1922";"Textilchemie, -physik";""
+3;"1923";"1923";"Trainingswissenschaft";""
+3;"1924";"1924";"Umweltchemie";""
+3;"1925";"1925";"Wissensmanagement";""
+3;"1926";"1926";"Geschichte der Mathematik";""
+3;"1927";"1927";"Geschichte der Naturwissenschaften";""
+3;"1928";"1928";"Hochwasser (-schutz)";""
+3;"1929";"1929";"Abfallwirtschaft";""
+3;"1930";"1930";"Ingenieurbiologie";""
+3;"1931";"1931";"Naturschutz(-forschung)";""
+3;"1932";"1932";"�kotoxikologie";""
+3;"1933";"1933";"Zivil- und Katastrophenschutz";""
+3;"1934";"1934";"Ern�hrungswissenschaften";""
+1;"2";"2";"TECHNISCHE WISSENSCHAFTEN";""
+2;"21";"21";"Bergbau, Metallurgie";""
+3;"2101";"2101";"Aufbereitung mineralischer Rohstoffe";""
+3;"2102";"2102";"Bergbaukunde";""
+3;"2103";"2103";"Bergschadenkunde";""
+3;"2104";"2104";"Eisenh�ttentechnologie";""
+3;"2105";"2105";"Erd�lgeologie";""
+3;"2106";"2106";"Erd�lgewinnung";""
+3;"2107";"2107";"Feuerfeste Baustoffe";""
+3;"2108";"2108";"F�rdertechnik";""
+3;"2109";"2109";"Gesteinsh�ttentechnologie";""
+3;"2110";"2110";"Gie�ereitechnologie";""
+3;"2111";"2111";"Nichteisenmetallurgie";""
+3;"2113";"2113";"Industrieofenbau";""
+3;"2114";"2114";"Lagerst�ttenerschlie�ung";""
+3;"2115";"2115";"Lagerst�ttenkunde";""
+3;"2116";"2116";"Markscheidekunde";""
+3;"2117";"2117";"Metallkunde";""
+3;"2118";"2118";"Metallurgie";""
+3;"2119";"2119";"Montangeologie";""
+3;"2120";"2120";"Schwei�technik";""
+3;"2121";"2121";"W�rmetechnik";""
+3;"2122";"2122";"Werkstoffpr�fung, Material-";""
+3;"2123";"2123";"Tiefbohrtechnik";""
+3;"2124";"2124";"Verbrennungstechnik";""
+3;"2125";"2125";"Untertagebau";""
+3;"2126";"2126";"Umformtechnik";""
+3;"2127";"2127";"Werkstofftechnik";""
+2;"22";"22";"Maschinenbau, Instrumentenbau";""
+3;"2201";"2201";"Computer Hardware, ADVA";""
+3;"2202";"2202";"Dampf- und Gasturbinen";""
+3;"2203";"2203";"Energietechnik";""
+3;"2204";"2204";"Feinwerktechnik";""
+3;"2205";"2205";"Flugzeugbau";""
+3;"2206";"2206";"F�rdertechnik";""
+3;"2207";"2207";"Industrieofenbau";""
+3;"2208";"2208";"Instrumentenbau";""
+3;"2209";"2209";"Kessel-, Reaktorbau";""
+3;"2210";"2210";"Kraftfahrwesen";""
+3;"2211";"2211";"Leichtbau";""
+3;"2212";"2212";"Maschinenbau";""
+3;"2213";"2213";"Maschinendynamik";""
+3;"2214";"2214";"Mechanische Technologie";""
+3;"2215";"2215";"Messtechnik";""
+3;"2216";"2216";"Montanmaschinenwesen";""
+3;"2217";"2217";"Reaktortechnik";""
+3;"2218";"2218";"Schiffstechnik";""
+3;"2219";"2219";"Str�mungslehre";""
+3;"2220";"2220";"Str�mungsmaschinen";""
+3;"2221";"2221";"Technische Mechanik";""
+3;"2222";"2222";"Theoretische Maschinenlehre";""
+3;"2223";"2223";"Thermische Turbomaschinen";""
+3;"2224";"2224";"Thermodynamik (auch: chemische -)";""
+3;"2225";"2225";"Verbrennungskraftmaschinen";""
+3;"2226";"2226";"W�rmetechnik";""
+3;"2227";"2227";"Wasserkraftmaschinen und Pumpen";""
+3;"2228";"2228";"Werkstoffpr�fung, Material-";""
+3;"2229";"2229";"Zellstoff- und Papiertechnik";""
+3;"2230";"2230";"Heizungstechnik";""
+3;"2231";"2231";"K�ltetechnik";""
+3;"2232";"2232";"W�rmepumpen";""
+3;"2233";"2233";"Apparatebau";""
+3;"2234";"2234";"Robotik (Robotertechnik)";""
+3;"2235";"2235";"Tunnelbel�ftung";""
+3;"2236";"2236";"Mechatronik";""
+3;"2237";"2237";"Tribologie";""
+3;"2238";"2238";"Mikromechanik (auch: - der Werkstoffe)";""
+3;"2239";"2239";"Kraftfahrzeugtechnik";""
+3;"2240";"2240";"Umformtechnik";""
+3;"2241";"2241";"Bruchmechanik";""
+3;"2242";"2242";"Klimatechnik";""
+2;"23";"23";"Bautechnik";""
+3;"2301";"2301";"Bahnbau";""
+3;"2302";"2302";"Bauaufnahmen";""
+3;"2303";"2303";"Baubetrieb";""
+3;"2304";"2304";"Bauforschung";""
+3;"2305";"2305";"Bauphysik";""
+3;"2306";"2306";"Baustatik";""
+3;"2307";"2307";"Baustofflehre";""
+3;"2308";"2308";"Baustoffpr�fung";""
+3;"2309";"2309";"Bauwirtschaft";""
+3;"2310";"2310";"Bodenmechanik";""
+3;"2311";"2311";"Br�ckenbau";""
+3;"2312";"2312";"Erdbau";""
+3;"2313";"2313";"Felsmechanik";""
+3;"2314";"2314";"Festigkeitslehre";""
+3;"2315";"2315";"Flussbau";""
+3;"2316";"2316";"Grundbau";""
+3;"2317";"2317";"Hochbau";""
+3;"2318";"2318";"Holzbau";""
+3;"2319";"2319";"Hydraulik";""
+3;"2320";"2320";"Industriebau";""
+3;"2321";"2321";"Konstruktiver Wasserbau";""
+3;"2322";"2322";"Landwirtschaftlicher Wasserbau";""
+3;"2323";"2323";"Landwirtschaftliches Bauwesen";""
+3;"2324";"2324";"Leichtbau";""
+3;"2325";"2325";"Mechanische Technologie";""
+3;"2326";"2326";"Siedlungswasserbau";""
+3;"2327";"2327";"Stahlbau";""
+3;"2328";"2328";"Stahlbetonbau";""
+3;"2329";"2329";"Stra�enbau";""
+3;"2330";"2330";"Tiefbau";""
+3;"2331";"2331";"Tragwerkslehre";""
+3;"2332";"2332";"Wasserkraftanlagenbau";""
+3;"2333";"2333";"Wildbach- und Lawinenverbauung";""
+3;"2334";"2334";"Baudynamik";""
+3;"2335";"2335";"Brandverh�tung, Brandschutz";""
+3;"2336";"2336";"Bau�kologie";""
+3;"2337";"2337";"Tunnelbau";""
+3;"2338";"2338";"Altbausanierung";""
+3;"2339";"2339";"Bruchmechanik";""
+3;"2340";"2340";"L�rmschutz, Schallschutz";""
+3;"2341";"2341";"Tunnelbel�ftung";""
+3;"2342";"2342";"Aerodynamik";""
+3;"2343";"2343";"Bautechnik";""
+3;"2344";"2344";"Untertagebau";""
+3;"2345";"2345";"Ingenieurbiologie";""
+3;"2346";"2346";"Ingenieurgeologie";""
+2;"24";"24";"Architektur";""
+3;"2401";"2401";"Architektonische Gestaltung";""
+3;"2402";"2402";"Architektur";""
+3;"2403";"2403";"Architekturmodellbau";""
+3;"2404";"2404";"Bauaufnahmen";""
+3;"2405";"2405";"Bauforschung";""
+3;"2406";"2406";"Baukunst";""
+3;"2407";"2407";"Baustatik";""
+3;"2408";"2408";"Br�ckenbau";""
+3;"2409";"2409";"Denkmalpflege";""
+3;"2410";"2410";"Entwerfen";""
+3;"2411";"2411";"Geb�udelehre";""
+3;"2412";"2412";"Hochbau";""
+3;"2413";"2413";"Holzbau";""
+3;"2414";"2414";"Industriebau";""
+3;"2415";"2415";"Innenarchitektur";""
+3;"2416";"2416";"Innenraumgestaltung";""
+3;"2417";"2417";"Leichtbau";""
+3;"2418";"2418";"Raumkunst";""
+3;"2419";"2419";"St�dtebau";""
+3;"2420";"2420";"Stadt-, Dorferneuerung";""
+3;"2421";"2421";"Stahlbau";""
+3;"2422";"2422";"Stahlbetonbau";""
+3;"2423";"2423";"Tiefbau";""
+3;"2424";"2424";"Tragwerkslehre";""
+3;"2425";"2425";"Umweltgestaltung";""
+3;"2426";"2426";"Wohnbau";""
+3;"2427";"2427";"Bau�kologie";""
+3;"2428";"2428";"Altbausanierung";""
+3;"2429";"2429";"Raumgestaltung";""
+3;"2430";"2430";"Solararchitektur";""
+3;"2431";"2431";"Gartenkunst";""
+3;"2432";"2432";"Architekturtheorie";""
+2;"25";"25";"Elektrotechnik, Elektronik";""
+3;"2501";"2501";"Allgemeine Elektronik";""
+3;"2502";"2502";"Allgemeine Elektrotechnik";""
+3;"2503";"2503";"Computer Hardware, ADVA";""
+3;"2504";"2504";"Elektrische Anlagen (Bau und Betrieb)";""
+3;"2505";"2505";"Elektrische Antriebstechnik";""
+3;"2506";"2506";"Elektrische Beleuchtung";""
+3;"2507";"2507";"Elektrische Energie";""
+3;"2508";"2508";"Elektrische Maschinen (Bau und Betrieb)";""
+3;"2509";"2509";"Elektrische Regelungstechnik";""
+3;"2510";"2510";"Elektrische Steuerungstechnik";""
+3;"2511";"2511";"Elektrizit�tswesen";""
+3;"2512";"2512";"Elektrotechnische Messkunde";""
+3;"2513";"2513";"Elektro- und Biomedizinische Technik";""
+3;"2514";"2514";"Energietechnik";""
+3;"2515";"2515";"Fernmeldetechnik";""
+3;"2516";"2516";"Geoelektrik";""
+3;"2517";"2517";"Halbleitertechnologie";""
+3;"2518";"2518";"Hochfrequenztechnik";""
+3;"2519";"2519";"Hochspannungstechnik";""
+3;"2520";"2520";"Industrielle Elektronik";""
+3;"2521";"2521";"Mikroelektronik";""
+3;"2522";"2522";"Nachrichtentechnik";""
+3;"2524";"2524";"Physikalische Elektronik";""
+3;"2525";"2525";"Radiotechnik";""
+3;"2526";"2526";"Schwachstromtechnik";""
+3;"2527";"2527";"Starkstromtechnik";""
+3;"2529";"2529";"Theoretische Elektrotechnik";""
+3;"2530";"2530";"Wellenausbreitung";""
+3;"2531";"2531";"Lasertechnik";""
+3;"2532";"2532";"Optische Nachrichtentechnik";""
+3;"2533";"2533";"Signalverarbeitung analog, digital";""
+3;"2534";"2534";"Solartechnologie";""
+3;"2535";"2535";"Supraleitung";""
+3;"2536";"2536";"Computer-Netzwerke";""
+3;"2537";"2537";"Elektronenstrahltechnik";""
+3;"2539";"2539";"Laserspektroskopie";""
+3;"2540";"2540";"Robotik (Robotertechnik)";""
+3;"2541";"2541";"Mechatronik";""
+3;"2542";"2542";"Photovoltaik";""
+3;"2543";"2543";"Entwurf integrierter Schaltungen";""
+3;"2545";"2545";"Neuronale (Neurale) Netze";""
+3;"2546";"2546";"Sensorik";""
+3;"2547";"2547";"Telekommunikation, Mobil-";""
+3;"2548";"2548";"Sicherheit in der Informationstechnik (IT-Sicherheit)";""
+3;"2549";"2549";"Elektromagnetismus";""
+3;"2550";"2550";"Navigation";""
+3;"2551";"2551";"Mikrowellentechnik";""
+3;"2552";"2552";"Radartechnik";""
+3;"2553";"2553";"Audiotechnik";""
+3;"2554";"2554";"Elektromagnetische Vertr�glichkeit";""
+3;"2555";"2555";"Human-Computer Interaction";""
+3;"2556";"2556";"Leistungselektronik";""
+3;"2557";"2557";"Embedded Systems";""
+2;"26";"26";"Technische Chemie, Brennstoff- und Mineral�ltechnologie";""
+3;"2601";"2601";"Anorganisch-chemische Technologie";""
+3;"2602";"2602";"Brandverh�tung, Brandschutz";""
+3;"2603";"2603";"Biochemische Technologie";""
+3;"2604";"2604";"Brennstofftechnologie";""
+3;"2605";"2605";"Chemische Technologie";""
+3;"2606";"2606";"Kunststoffkunde";""
+3;"2607";"2607";"Kunststofftechnik";""
+3;"2608";"2608";"Kunststoffverarbeitung";""
+3;"2609";"2609";"Mineral�ltechnologie";""
+3;"2610";"2610";"Organisch-chemische Technologie";""
+3;"2611";"2611";"Silikatchemie";""
+3;"2612";"2612";"Technische Chemie";""
+3;"2613";"2613";"Werkstoffpr�fung, Material-";""
+3;"2614";"2614";"Zellstoff- und Papiertechnik";""
+3;"2615";"2615";"Sprengtechnik";""
+3;"2616";"2616";"Beschichtungstechnik";""
+3;"2617";"2617";"Korrosionsschutz";""
+3;"2618";"2618";"Verbrennungstechnik";""
+3;"2619";"2619";"Thermodynamik (auch: chemische -)";""
+3;"2620";"2620";"Materialchemie";""
+2;"27";"27";"Geod�sie, Vermessungswesen";""
+3;"2701";"2701";"Erdmessung";""
+3;"2702";"2702";"Fernerkundung";""
+3;"2703";"2703";"Geod�sie, auch: H�here -";""
+3;"2704";"2704";"Kartographie";""
+3;"2705";"2705";"Katastervermessung";""
+3;"2706";"2706";"Landesvermessung";""
+3;"2707";"2707";"Photogrammetrie";""
+3;"2708";"2708";"Topographie";""
+3;"2709";"2709";"Vermessungswesen";""
+3;"2710";"2710";"Ingenieurgeod�sie";""
+3;"2711";"2711";"GPS (Satellitengest�tzte Koordinatenmessung)";""
+3;"2712";"2712";"3D-Vermessung";""
+2;"28";"28";"Verkehrswesen, Verkehrsplanung";""
+3;"2801";"2801";"Eisenbahnwesen";""
+3;"2802";"2802";"Stra�enbau";""
+3;"2803";"2803";"Stra�enplanung";""
+3;"2804";"2804";"Transportwirtschaft";""
+3;"2805";"2805";"Verkehrsplanung, -sicherheit";""
+3;"2806";"2806";"Verkehrstechnik";""
+3;"2807";"2807";"Verkehrswesen";""
+3;"2808";"2808";"Verkehrswirtschaft";""
+3;"2809";"2809";"Unfallforschung";""
+3;"2810";"2810";"Seilbahnwesen";""
+2;"29";"29";"Sonstige und interdisziplin�re Technische Wissenschaften";""
+3;"2901";"2901";"Abfalltechnologie";""
+3;"2902";"2902";"Allgemeine Verfahrenstechnik";""
+3;"2903";"2903";"Arbeitswissenschaft";""
+3;"2904";"2904";"Betriebstechnik";""
+3;"2905";"2905";"Elektronenmikroskopie";""
+3;"2906";"2906";"Energiewirtschaft";""
+3;"2907";"2907";"Gaschromatographie";""
+3;"2908";"2908";"Graphische Technik";""
+3;"2909";"2909";"Luftfahrttechnik";""
+3;"2910";"2910";"Rohstoffr�ckgewinnung (Recycling)";""
+3;"2911";"2911";"R�ntgenstrukturanalyse";""
+3;"2912";"2912";"Technische Dokumentation";""
+3;"2913";"2913";"Technische Wissenschaften interdisziplin�r";""
+3;"2914";"2914";"Textiltechnik";""
+3;"2915";"2915";"Tieftemperaturforschung";""
+3;"2916";"2916";"Verpackungswesen";""
+3;"2917";"2917";"Wirtschaftstechnik";""
+3;"2918";"2918";"Umwelttechnologie";""
+3;"2919";"2919";"Energieforschung";""
+3;"2920";"2920";"Abluftreinigung";""
+3;"2921";"2921";"Biotechnologie";""
+3;"2922";"2922";"Produktgestaltung";""
+3;"2923";"2923";"Rohstoffforschung, -wirtschaft";""
+3;"2924";"2924";"Schadstoffdeposition";""
+3;"2925";"2925";"Schadstoffemission";""
+3;"2926";"2926";"Sprengtechnik";""
+3;"2927";"2927";"Technikfolgenabsch�tzung";""
+3;"2928";"2928";"Umwelt�konomie";""
+3;"2929";"2929";"Zivil- und Katastrophenschutz";""
+3;"2930";"2930";"Altlastensanierung";""
+3;"2931";"2931";"Arch�ometrie";""
+3;"2932";"2932";"Automatisierung";""
+3;"2933";"2933";"Dosimetrie";""
+3;"2934";"2934";"Ergonomie";""
+3;"2935";"2935";"Fachdidaktik (Technische Wissenschaften)";""
+3;"2936";"2936";"Qualit�tssicherung";""
+3;"2937";"2937";"Technikgeschichte";""
+3;"2938";"2938";"Behindertenfragen, -forschung";""
+3;"2939";"2939";"Computerunterst�tzte Simulation";""
+3;"2940";"2940";"Energieeinsparung (Ma�nahmen zur -)";""
+3;"2941";"2941";"Erneuerbare Energie (auch: Energietr�ger, Rohstoffe)";""
+3;"2942";"2942";"Fertigungstechnik";""
+3;"2943";"2943";"Forschungs- und Innovationsmanagement";""
+3;"2944";"2944";"Human�kologie";""
+3;"2945";"2945";"�kotechnik (""Ecotech"")";""
+3;"2946";"2946";"Umweltschutz";""
+3;"2947";"2947";"Informationstechnologie";""
+3;"2948";"2948";"Informationsgesellschaft";""
+3;"2949";"2949";"Telekommunikation, Mobil-";""
+3;"2950";"2950";"Risikoforschung";""
+3;"2951";"2951";"Technologietransfer";""
+3;"2952";"2952";"Sicherheit in der Informationstechnik (IT-Sicherheit)";""
+3;"2953";"2953";"Datenschutz und Datensicherheit";""
+3;"2954";"2954";"Audiovisuelle Medien";""
+3;"2955";"2955";"Aerodynamik";""
+3;"2956";"2956";"Ecodesign";""
+3;"2957";"2957";"Luftreinhaltung";""
+3;"2959";"2959";"Nachhaltige Entwicklung, Nachhaltiges Wirtschaften";""
+3;"2960";"2960";"�kologische Langzeitforschung";""
+3;"2961";"2961";"Schadensanalyse";""
+3;"2962";"2962";"Technikphilosophie";""
+3;"2963";"2963";"Techniksoziologie";""
+3;"2964";"2964";"Textilchemie, -physik";""
+3;"2965";"2965";"Wissensmanagement";""
+3;"2966";"2966";"Geschichte der Technischen Wissenschaften";""
+3;"2967";"2967";"Lichttechnologie";""
+3;"2968";"2968";"Nanotechnologie";""
+3;"2969";"2969";"Abfallwirtschaft";""
+3;"2970";"2970";"Fermentierung";""
+3;"2971";"2971";"Gender Studies (Technische Wissenschaften)";""
+3;"2972";"2972";"Usabilty Research";""
+3;"2973";"2973";"Technische Statistik";""
+1;"3";"3";"HUMANMEDIZIN";""
+2;"31";"31";"Anatomie, Pathologie";""
+3;"3101";"3101";"Allgemeine Anatomie";""
+3;"3102";"3102";"Allgemeine Pathologie";""
+3;"3103";"3103";"Zellbiologie (Cytologie)";""
+3;"3104";"3104";"Embryologie";""
+3;"3105";"3105";"Experimentelle Pathologie";""
+3;"3106";"3106";"Funktionelle Pathologie";""
+3;"3107";"3107";"Histologie";""
+3;"3108";"3108";"Krebsforschung";""
+3;"3109";"3109";"Neuropathologie";""
+3;"3110";"3110";"Onkologie";""
+3;"3111";"3111";"Pathologische Anatomie";""
+3;"3112";"3112";"Psychopathologie";""
+3;"3113";"3113";"R�ntgenanatomie";""
+3;"3114";"3114";"Systematische Anatomie";""
+3;"3115";"3115";"Topographische Anatomie";""
+3;"3116";"3116";"Diagnostik in der Medizin";""
+3;"3117";"3117";"Funktionelle Anatomie";""
+3;"3118";"3118";"Pathophysiologie";""
+3;"3119";"3119";"Molekulare Pathologie";""
+2;"32";"32";"Medizinische Chemie, Medizinische Physik, Physiologie";""
+3;"3201";"3201";"Allgemeine Physiologie";""
+3;"3202";"3202";"Balneologie";""
+3;"3203";"3203";"Biophysik";""
+3;"3204";"3204";"Elektronenmikroskopie";""
+3;"3205";"3205";"Elektro- und Biomedizinische Technik";""
+3;"3206";"3206";"Humangenetik";""
+3;"3207";"3207";"Krebsforschung";""
+3;"3208";"3208";"Medizinische Biochemie";""
+3;"3209";"3209";"Medizinische Biologie";""
+3;"3210";"3210";"Medizinische Chemie";""
+3;"3211";"3211";"Medizinische Molekularbiologie";""
+3;"3212";"3212";"Medizinische Physik";""
+3;"3213";"3213";"Medizinische Physiologie";""
+3;"3214";"3214";"Neurochemie";""
+3;"3215";"3215";"Neuro- und Sinnesphysiologie";""
+3;"3216";"3216";"Nuklearmedizin";""
+3;"3217";"3217";"Radiologie";""
+3;"3218";"3218";"Strahlenbiologie";""
+3;"3219";"3219";"Strahlenphysik";""
+3;"3220";"3220";"Strahlenschutz";""
+3;"3221";"3221";"Strahlentherapie";""
+3;"3222";"3222";"Vergleichende Physiologie";""
+3;"3223";"3223";"Zellbiologie (Cytologie)";""
+3;"3224";"3224";"Cytogenetik";""
+3;"3225";"3225";"Sonographie";""
+3;"3226";"3226";"Biomechanik";""
+3;"3227";"3227";"Magnetresonanztomographie (MRT)";""
+3;"3228";"3228";"Impfstoffentwicklung";""
+3;"3229";"3229";"Gef��biologie";""
+3;"3230";"3230";"Stammzellenforschung";""
+3;"3231";"3231";"Strahlenchemie";""
+3;"3232";"3232";"Proteomik";""
+3;"3233";"3233";"Computertomographie";""
+3;"3234";"3234";"Genomik";""
+3;"3235";"3235";"Glykobiologie";""
+3;"3236";"3236";"Lipidforschung";""
+2;"33";"33";"Pharmazie, Pharmakologie, Toxikologie";""
+3;"3301";"3301";"Hom�opathie";""
+3;"3302";"3302";"Neuropharmakologie";""
+3;"3303";"3303";"Pharmakodynamik";""
+3;"3304";"3304";"Pharmakognosie";""
+3;"3305";"3305";"Pharmakologie";""
+3;"3306";"3306";"Pharmazeutische Chemie";""
+3;"3307";"3307";"Pharmazie";""
+3;"3308";"3308";"Psychopharmakologie";""
+3;"3309";"3309";"Toxikologie";""
+3;"3310";"3310";"Pharmazeutische Technologie";""
+3;"3311";"3311";"Phytochemie";""
+3;"3312";"3312";"Pharmakokinetik";""
+3;"3313";"3313";"Arzneimittel-, Arzneistoffanalyse";""
+3;"3314";"3314";"Impfstoffentwicklung";""
+3;"3315";"3315";"Naturstoffchemie";""
+2;"34";"34";"Hygiene, medizinische Mikrobiologie";""
+3;"3401";"3401";"Allergieforschung";""
+3;"3402";"3402";"Arbeitsmedizin";""
+3;"3403";"3403";"Bakteriologie";""
+3;"3404";"3404";"Bakteriologisch-serologische Untersuchungen";""
+3;"3405";"3405";"Berufskrankheiten";""
+3;"3406";"3406";"Blutgruppenserologie";""
+3;"3407";"3407";"Bluttransfusionskunde";""
+3;"3408";"3408";"Epidemiologie";""
+3;"3409";"3409";"H�matologie";""
+3;"3410";"3410";"Hygiene";""
+3;"3411";"3411";"Immunologie";""
+3;"3412";"3412";"Krebsforschung";""
+3;"3413";"3413";"Lebensmittelhygiene";""
+3;"3414";"3414";"Leuk�mieforschung";""
+3;"3415";"3415";"Lufthygiene";""
+3;"3416";"3416";"Medizinische Mikrobiologie";""
+3;"3417";"3417";"Parasitologie";""
+3;"3418";"3418";"Pr�ventivmedizin";""
+3;"3419";"3419";"Rehabilitationsforschung";""
+3;"3420";"3420";"Serologie";""
+3;"3421";"3421";"Seuchenforschung";""
+3;"3423";"3423";"Sozialmedizin";""
+3;"3424";"3424";"Spezifische Prophylaxe (Impfschutz)";""
+3;"3425";"3425";"Stressforschung";""
+3;"3426";"3426";"Tropenmedizin";""
+3;"3427";"3427";"Umwelthygiene";""
+3;"3428";"3428";"Virologie";""
+3;"3429";"3429";"Wasserhygiene";""
+3;"3430";"3430";"Neuro-, Psychoimmunologie";""
+3;"3431";"3431";"Diagnostik in der Medizin";""
+3;"3432";"3432";"Impfstoffentwicklung";""
+3;"3433";"3433";"HIV-Forschung";""
+3;"3434";"3434";"Krankenhaushygiene";""
+2;"35";"35";"Klinische Medizin (ausgenommen Chirurgie und Psychiatrie)";""
+3;"3501";"3501";"Akupunktur";""
+3;"3502";"3502";"Allergieforschung";""
+3;"3503";"3503";"Allgemeinmedizin";""
+3;"3504";"3504";"Andrologie";""
+3;"3505";"3505";"Augenheilkunde";""
+3;"3506";"3506";"Balneologie";""
+3;"3507";"3507";"Chemotherapie";""
+3;"3508";"3508";"Dermatologie";""
+3;"3509";"3509";"Endokrinologie";""
+3;"3510";"3510";"Gastroenterologie";""
+3;"3511";"3511";"Geburtshilfe";""
+3;"3512";"3512";"Geriatrie";""
+3;"3513";"3513";"Gyn�kologie";""
+3;"3514";"3514";"Hals-, Nasen-, Ohrenkrankheiten";""
+3;"3515";"3515";"Haut- und Geschlechtskrankheiten";""
+3;"3516";"3516";"Hepatologie";""
+3;"3517";"3517";"H�r-, Stimm- und Sprachst�rungen";""
+3;"3518";"3518";"Innere Medizin";""
+3;"3519";"3519";"Intensivmedizin";""
+3;"3520";"3520";"Kardiologie";""
+3;"3521";"3521";"Kieferchirurgie";""
+3;"3522";"3522";"Kinderheilkunde";""
+3;"3523";"3523";"Kreislauferkrankungen";""
+3;"3524";"3524";"Lungenheilkunde";""
+3;"3525";"3525";"Neonatologie";""
+3;"3526";"3526";"Nephrologie";""
+3;"3527";"3527";"Nuklearmedizin";""
+3;"3528";"3528";"Orthop�die";""
+3;"3529";"3529";"Perinatologie";""
+3;"3530";"3530";"Radiodiagnostik";""
+3;"3531";"3531";"Radiologie";""
+3;"3532";"3532";"Rehabilitationsforschung";""
+3;"3533";"3533";"Rheumatologie";""
+3;"3534";"3534";"Sozialmedizin";""
+3;"3535";"3535";"Sportmedizin";""
+3;"3536";"3536";"Stoffwechselerkrankungen";""
+3;"3537";"3537";"Strahlenschutz";""
+3;"3538";"3538";"Strahlentherapie";""
+3;"3539";"3539";"Syphilidologie";""
+3;"3540";"3540";"Urologie";""
+3;"3541";"3541";"Venerologie";""
+3;"3542";"3542";"Zahn-, Mund- und Kieferheilkunde";""
+3;"3543";"3543";"Angiologie";""
+3;"3544";"3544";"Klinische Chemie";""
+3;"3545";"3545";"Laboratoriumsdiagnostik";""
+3;"3546";"3546";"Physikalische Medizin";""
+3;"3547";"3547";"Computerunterst�tzte Diagnose und Therapie";""
+3;"3548";"3548";"Diabetologie";""
+3;"3549";"3549";"Implantologie";""
+3;"3550";"3550";"Sonographie";""
+3;"3551";"3551";"Pr�natale Diagnostik";""
+3;"3552";"3552";"Diagnostik in der Medizin";""
+3;"3553";"3553";"Notfallmedizin";""
+3;"3554";"3554";"Schmerztherapie";""
+3;"3555";"3555";"Transplantationsmedizin";""
+3;"3556";"3556";"Kieferorthop�die";""
+3;"3557";"3557";"Palliativmedizin";""
+3;"3558";"3558";"Polytraumaversorgung";""
+3;"3559";"3559";"H�matologie";""
+3;"3560";"3560";"Onkologie";""
+3;"3561";"3561";"Schlafmedizin";""
+2;"36";"36";"Chirurgie und An�sthesiologie";""
+3;"3601";"3601";"Akupunktur";""
+3;"3602";"3602";"Allgemeine Chirurgie";""
+3;"3603";"3603";"An�sthesiologie";""
+3;"3604";"3604";"Bluttransfusionskunde";""
+3;"3605";"3605";"Experimentelle Chirurgie";""
+3;"3606";"3606";"Intensivmedizin";""
+3;"3607";"3607";"Kieferchirurgie";""
+3;"3608";"3608";"Kinderchirurgie";""
+3;"3609";"3609";"Mikrochirurgie";""
+3;"3610";"3610";"Neurochirurgie";""
+3;"3611";"3611";"Nuklearmedizin";""
+3;"3612";"3612";"Orthop�die";""
+3;"3613";"3613";"Plastische und Wiederherstellungschirurgie";""
+3;"3614";"3614";"Transplantationschirurgie";""
+3;"3615";"3615";"Unfallchirurgie";""
+3;"3616";"3616";"Gef��chirurgie";""
+3;"3617";"3617";"Herzchirurgie";""
+3;"3618";"3618";"Thorax- und Hyperbare Chirurgie";""
+3;"3619";"3619";"Gastro-intestinale Chirurgie";""
+3;"3620";"3620";"Implantologie";""
+3;"3621";"3621";"Laserchirurgie";""
+3;"3622";"3622";"Onkologische Chirurgie";""
+3;"3623";"3623";"Schmerztherapie";""
+3;"3624";"3624";"Notfallmedizin";""
+3;"3625";"3625";"Navigationschirurgie";""
+3;"3626";"3626";"Polytraumaversorgung";""
+2;"37";"37";"Psychiatrie und Neurologie";""
+3;"3701";"3701";"Forensische Psychiatrie";""
+3;"3702";"3702";"Hirnforschung";""
+3;"3703";"3703";"H�r-, Stimm- und Sprachst�rungen";""
+3;"3704";"3704";"Kinder- und Jugendpsychiatrie";""
+3;"3705";"3705";"Klinische Psychiatrie";""
+3;"3706";"3706";"Medizinische Psychologie";""
+3;"3707";"3707";"Medizinische Psychotherapie";""
+3;"3708";"3708";"Mikrochirurgie";""
+3;"3709";"3709";"Neurochirurgie";""
+3;"3710";"3710";"Neurologie";""
+3;"3711";"3711";"Neuropathologie";""
+3;"3712";"3712";"Neuropharmakologie";""
+3;"3713";"3713";"Neuro- und Sinnesphysiologie";""
+3;"3714";"3714";"Psychoanalyse";""
+3;"3715";"3715";"Psychopathologie";""
+3;"3716";"3716";"Psychopharmakologie";""
+3;"3717";"3717";"Psychosomatik";""
+3;"3718";"3718";"Rehabilitationsforschung";""
+3;"3719";"3719";"Sozialpsychiatrie";""
+3;"3720";"3720";"Suchtforschung";""
+3;"3721";"3721";"Tiefenpsychologie";""
+3;"3722";"3722";"Verhaltenstherapie";""
+3;"3723";"3723";"Sonder- und Heilp�dagogik";""
+3;"3724";"3724";"Neuro-, Psychoimmunologie";""
+3;"3725";"3725";"Diagnostik in der Medizin";""
+3;"3726";"3726";"Linguistik, klinische -, Neuro-,";""
+3;"3727";"3727";"Neuropsychologie";""
+3;"3728";"3728";"Stressforschung";""
+3;"3729";"3729";"Klinische Neurowissenschaften";""
+2;"38";"38";"Gerichtsmedizin";""
+3;"3801";"3801";"Forensische Psychiatrie";""
+3;"3802";"3802";"Gerichtliche Humanmedizin";""
+3;"3803";"3803";"Gerichtliche Veterin�rmedizin";""
+3;"3804";"3804";"Gerichtliche Chemie";""
+3;"3805";"3805";"DNA-Analyse (auch: genetischer Fingerabdruck)";""
+3;"3806";"3806";"Blutspurenanalyse";""
+3;"3807";"3807";"Forensische Radiologie";""
+2;"39";"39";"Sonstige und interdisziplin�re Humanmedizin";""
+3;"3901";"3901";"Biostatistik";""
+3;"3902";"3902";"Elektronenmikroskopie";""
+3;"3903";"3903";"Geschichte der Medizin";""
+3;"3904";"3904";"Hom�opathie";""
+3;"3905";"3905";"Humanmedizin interdisziplin�r";""
+3;"3906";"3906";"Medizinische Computerwissenschaften";""
+3;"3907";"3907";"Medizinische Dokumentation";""
+3;"3908";"3908";"Medizinische Kybernetik";""
+3;"3909";"3909";"Medizinische Statistik";""
+3;"3910";"3910";"Verkehrsmedizin";""
+3;"3911";"3911";"�konomie des Gesundheitswesens";""
+3;"3912";"3912";"Computerunterst�tzte Diagnose und Therapie";""
+3;"3913";"3913";"Gentechnik, -technologie";""
+3;"3914";"3914";"Gerontologie";""
+3;"3915";"3915";"Medizinsoziologie";""
+3;"3916";"3916";"Ergonomie";""
+3;"3917";"3917";"Ern�hrungswissenschaften";""
+3;"3918";"3918";"Fachdidaktik (Humanmedizin)";""
+3;"3919";"3919";"Krankenhaus�konomie";""
+3;"3920";"3920";"Notfallmedizin";""
+3;"3921";"3921";"Patientenrechte";""
+3;"3922";"3922";"Umweltmedizin";""
+3;"3923";"3923";"Medizinische Ethik";""
+3;"3924";"3924";"Bioinformatik";""
+3;"3925";"3925";"Gesundheitswissenschaften";""
+3;"3926";"3926";"Krankenhaushygiene";""
+3;"3927";"3927";"Medizinische Informatik";""
+3;"3928";"3928";"Pflegewissenschaft";""
+3;"3929";"3929";"Biotechnologie";""
+3;"3930";"3930";"Gender Studies (Humanmedizin)";""
+3;"3931";"3931";"Sportwissenschaften";""
+3;"3932";"3932";"Ersatzmethoden zu Tierversuchen";""
+1;"4";"4";"LAND- UND FORSTWIRTSCHAFT, VETERIN�RMEDIZIN";""
+2;"41";"41";"Ackerbau, Pflanzenzucht, Pflanzenschutz";""
+3;"4101";"4101";"Ackerbau";""
+3;"4102";"4102";"Bew�sserungswirtschaft";""
+3;"4103";"4103";"Getreidebau, Getreide";""
+3;"4104";"4104";"Landwirtschaftlich-bakteriologische Untersuchungen";""
+3;"4105";"4105";"Landwirtschaftlich-chemische Untersuchungen";""
+3;"4106";"4106";"Landwirtschaftliche Maschinen und Ger�te";""
+3;"4107";"4107";"Lebensmitteltechnologie";""
+3;"4108";"4108";"M�llerei (Mehl)";""
+3;"4109";"4109";"Pflanzenbau";""
+3;"4110";"4110";"Pflanzenschutz";""
+3;"4111";"4111";"Pflanzenzucht";""
+3;"4112";"4112";"Saatzucht";""
+3;"4113";"4113";"Samenzucht und -pr�fung";""
+3;"4115";"4115";"Bodenuntersuchungen";""
+3;"4116";"4116";"Agrar�kologie";""
+3;"4117";"4117";"Biologischer Landbau";""
+3;"4118";"4118";"Erneuerbare Energie (auch: Energietr�ger, Rohstoffe)";""
+3;"4119";"4119";"Nachwachsende Rohstoffe";""
+3;"4120";"4120";"Pflanzenern�hrung und -d�ngung";""
+3;"4121";"4121";"Tropischer und subtropischer Pflanzenbau";""
+3;"4122";"4122";"Landwirtschaftlich-virologische Untersuchungen";""
+2;"42";"42";"Gartenbau, Obstbau";""
+3;"4201";"4201";"Bew�sserungswirtschaft";""
+3;"4202";"4202";"Gartenbau";""
+3;"4203";"4203";"Gr�nraumgestaltung";""
+3;"4204";"4204";"Landwirtschaftliche Maschinen und Ger�te";""
+3;"4205";"4205";"Lebensmitteltechnologie";""
+3;"4206";"4206";"Obstbau";""
+3;"4207";"4207";"Obstbaumschutz";""
+3;"4208";"4208";"Spezialkulturen";""
+3;"4209";"4209";"Versuchsanlagen f�r Obstbau";""
+3;"4210";"4210";"Weinbau";""
+3;"4211";"4211";"Bodenuntersuchungen";""
+3;"4212";"4212";"Biologischer Landbau";""
+3;"4213";"4213";"Gem�sebau";""
+3;"4214";"4214";"Gartenkunst";""
+3;"4215";"4215";"Zierpflanzenbau";""
+2;"43";"43";"Forst- und Holzwirtschaft";""
+3;"4301";"4301";"Forstentomologie";""
+3;"4302";"4302";"Forstliche Wirtschaftslehre";""
+3;"4303";"4303";"Forstliches Bauwesen";""
+3;"4304";"4304";"Forstliches Ingenieurwesen";""
+3;"4305";"4305";"Forst�kologie";""
+3;"4306";"4306";"Forstschutz";""
+3;"4307";"4307";"Forsttechnik";""
+3;"4308";"4308";"Forst- und Holzwirtschaftspolitik";""
+3;"4309";"4309";"Forstwirtschaft";""
+3;"4310";"4310";"Holzchemie";""
+3;"4311";"4311";"Holzforschung";""
+3;"4312";"4312";"Holzschutz";""
+3;"4313";"4313";"Holztechnologie";""
+3;"4314";"4314";"Holzwirtschaft";""
+3;"4315";"4315";"Waldbau";""
+3;"4316";"4316";"Zellstoff- und Papiertechnik";""
+3;"4317";"4317";"Bodenuntersuchungen";""
+3;"4318";"4318";"Nachwachsende Rohstoffe";""
+3;"4319";"4319";"Forstpathologie";""
+2;"44";"44";"Viehzucht, Tierproduktion";""
+3;"4401";"4401";"Bienenkunde";""
+3;"4402";"4402";"Fischereiwirtschaft";""
+3;"4403";"4403";"Fischkunde";""
+3;"4404";"4404";"Fleischhygiene";""
+3;"4405";"4405";"Fleischtechnologie";""
+3;"4406";"4406";"Haustiergenetik";""
+3;"4408";"4408";"K�serei";""
+3;"4409";"4409";"K�nstliche Besamung";""
+3;"4410";"4410";"Lebensmitteltechnologie";""
+3;"4411";"4411";"Lebensmitteluntersuchung";""
+3;"4412";"4412";"Mast- und Schlachtleistungen";""
+3;"4413";"4413";"Mikrobiologie";""
+3;"4414";"4414";"Milchhygiene";""
+3;"4415";"4415";"Milchtechnologie";""
+3;"4416";"4416";"Milchwirtschaft";""
+3;"4417";"4417";"Schweinepr�fung";""
+3;"4418";"4418";"Tierern�hrung";""
+3;"4419";"4419";"Tierproduktion";""
+3;"4420";"4420";"Tierzucht";""
+3;"4421";"4421";"Versuchstierkunde, -zucht";""
+3;"4422";"4422";"Wildtierkunde";""
+3;"4423";"4423";"Futtermitteluntersuchung";""
+3;"4425";"4425";"Nutztierethologie";""
+3;"4426";"4426";"Tierhaltung";""
+3;"4427";"4427";"Gefl�gelmedizin";""
+2;"45";"45";"Veterin�rmedizin";""
+3;"4501";"4501";"Bakteriologie (Tiere)";""
+3;"4502";"4502";"Elektronenmikroskopie";""
+3;"4503";"4503";"Gerichtliche Veterin�rmedizin";""
+3;"4504";"4504";"Huf- und Klauenkunde";""
+3;"4505";"4505";"Lebensmitteluntersuchung";""
+3;"4506";"4506";"Medizinische Biochemie (Tiere)";""
+3;"4507";"4507";"Medizinische Chemie (Tiere)";""
+3;"4508";"4508";"Medizinische Physik (Tiere)";""
+3;"4509";"4509";"Tieranatomie";""
+3;"4510";"4510";"Tier-Augenheilkunde";""
+3;"4511";"4511";"Tier-Chirurgie";""
+3;"4512";"4512";"Tierembryologie";""
+3;"4513";"4513";"Tierern�hrung";""
+3;"4514";"4514";"Tier-Geburtshilfe";""
+3;"4515";"4515";"Tier-Gyn�kologie";""
+3;"4516";"4516";"Tierhistologie";""
+3;"4517";"4517";"Tierhygiene";""
+3;"4518";"4518";"Tier-Orthop�die";""
+3;"4519";"4519";"Tierparasitologie";""
+3;"4520";"4520";"Tierpathologie";""
+3;"4521";"4521";"Tierphysiologie";""
+3;"4522";"4522";"Tier-R�ntgenologie";""
+3;"4523";"4523";"Tierseuchenbek�mpfung";""
+3;"4524";"4524";"Virologie (Tiere)";""
+3;"4525";"4525";"Wildtierkunde";""
+3;"4526";"4526";"Zoologie";""
+3;"4527";"4527";"Pharmakologie (Tiere)";""
+3;"4528";"4528";"Tier-Andrologie";""
+3;"4529";"4529";"Tier-Unfallchirurgie";""
+3;"4530";"4530";"Tier-Zahnheilkunde";""
+3;"4531";"4531";"Toxikologie (Tiere)";""
+3;"4532";"4532";"Tier-An�sthesiologie";""
+3;"4533";"4533";"Tiercytologie";""
+3;"4534";"4534";"Tier-Interne Medizin";""
+3;"4536";"4536";"Vogelmedizin, Zier-";""
+3;"4537";"4537";"Immunologie (Tiere)";""
+3;"4538";"4538";"Laboratoriumsdiagnostik (Tiere)";""
+3;"4539";"4539";"Tierneurologie";""
+3;"4540";"4540";"Diagnostik in der Veterin�rmedizin";""
+3;"4541";"4541";"Geschichte der Veterin�rmedizin";""
+3;"4542";"4542";"Phytotherapie (Tiere)";""
+2;"49";"49";"Sonstige und interdisziplin�re Land- und Forstwirtschaft";""
+3;"4901";"4901";"ADV, EDV in der Land- und Forstwirtschaft";""
+3;"4902";"4902";"Agrarische Operationen";""
+3;"4903";"4903";"Agrar�konomie";""
+3;"4904";"4904";"Agrarpolitik";""
+3;"4905";"4905";"Bew�sserungswirtschaft";""
+3;"4906";"4906";"G�rungstechnologie";""
+3;"4907";"4907";"Land- und Forstwirtschaft interdisziplin�r";""
+3;"4908";"4908";"Land- und forstwirtschaftliche Dokumentation";""
+3;"4909";"4909";"Landwirtschaftliche Betriebswirtschaft";""
+3;"4910";"4910";"Landwirtschaftliche Marktlehre";""
+3;"4911";"4911";"Landwirtschaftliche Maschinen und Ger�te";""
+3;"4912";"4912";"Landwirtschaftliches Bauwesen";""
+3;"4913";"4913";"Lebensmitteltechnologie";""
+3;"4914";"4914";"Lebensmitteluntersuchung";""
+3;"4915";"4915";"Bodenuntersuchungen";""
+3;"4916";"4916";"Ern�hrungswirtschaft";""
+3;"4917";"4917";"Biotechnologie";""
+3;"4918";"4918";"Gentechnik, -technologie";""
+3;"4919";"4919";"Ern�hrungswissenschaften";""
+3;"4920";"4920";"Fachdidaktik (Land- und Forstwirtschaft, Veterin�rmedizin)";""
+3;"4921";"4921";"Agrar�kologie";""
+3;"4922";"4922";"Umweltschutz";""
+3;"4923";"4923";"Agrarmeteorologie";""
+3;"4924";"4924";"Nachhaltige Entwicklung, Nachhaltiges Wirtschaften";""
+3;"4925";"4925";"Fermentierung";""
+3;"4926";"4926";"Populationsgenetik";""
+1;"5";"5";"SOZIALWISSENSCHAFTEN";""
+2;"51";"51";"Politikwissenschaft";""
+3;"5101";"5101";"Allgemeine Staatslehre";""
+3;"5102";"5102";"Entwicklungshilfe";""
+3;"5103";"5103";"Friedensforschung";""
+3;"5104";"5104";"Ideologiekritik";""
+3;"5105";"5105";"Internationale Beziehungen";""
+3;"5106";"5106";"Philosophie der Politik";""
+3;"5107";"5107";"Politik und �ffentliches Recht";""
+3;"5108";"5108";"Politische Theorie";""
+3;"5109";"5109";"Politische Systeme";""
+3;"5111";"5111";"Rechts- und Staatsphilosophie";""
+3;"5112";"5112";"Europarecht";""
+3;"5113";"5113";"Forschungsrecht, -politik";""
+3;"5114";"5114";"Politische Bildung";""
+3;"5115";"5115";"Europ�ische Integration";""
+3;"5116";"5116";"F�deralismusforschung";""
+3;"5117";"5117";"Konfliktforschung";""
+3;"5118";"5118";"Politikwissenschaft";""
+3;"5119";"5119";"Entwicklungspolitik";""
+3;"5120";"5120";"Politikfeldanalyse";""
+2;"52";"52";"Rechtswissenschaften";""
+3;"5201";"5201";"Agrarrecht";""
+3;"5202";"5202";"Allgemeines Verfahrensrecht";""
+3;"5203";"5203";"Arbeitsrecht";""
+3;"5204";"5204";"B�rgerliches Recht (auch: -, allgemeiner Teil)";""
+3;"5205";"5205";"Energierecht";""
+3;"5206";"5206";"Finanzrecht";""
+3;"5207";"5207";"Genossenschaftsrecht";""
+3;"5208";"5208";"Gesellschaftsrecht";""
+3;"5209";"5209";"Haftpflichtrecht";""
+3;"5210";"5210";"Unternehmensrecht";""
+3;"5211";"5211";"Internationale Beziehungen";""
+3;"5212";"5212";"Internationales Privatrecht";""
+3;"5213";"5213";"Kartellrecht";""
+3;"5214";"5214";"Kirchenrecht";""
+3;"5215";"5215";"Kriminologie";""
+3;"5216";"5216";"Mietrecht";""
+3;"5217";"5217";"�ffentliches Recht";""
+3;"5218";"5218";"Verfassungsrecht (�sterreichisches -, europ�isches -)";""
+3;"5219";"5219";"�sterreichisches Verwaltungsrecht";""
+3;"5220";"5220";"Privatrecht";""
+3;"5221";"5221";"Rechtsdokumentation";""
+3;"5222";"5222";"Rechtsgeschichte";""
+3;"5223";"5223";"Rechtsphilosophie";""
+3;"5224";"5224";"Rechtsvergleichung";""
+3;"5225";"5225";"R�misches Recht";""
+3;"5226";"5226";"Sozialrecht";""
+3;"5227";"5227";"Sozialversicherungsrecht";""
+3;"5228";"5228";"Staatsrecht";""
+3;"5229";"5229";"Strafprozessrecht";""
+3;"5230";"5230";"Strafrecht";""
+3;"5231";"5231";"Urheber- und Verlagsrecht";""
+3;"5232";"5232";"Verkehrsrecht";""
+3;"5233";"5233";"Versicherungsrecht";""
+3;"5234";"5234";"Verwaltungslehre";""
+3;"5235";"5235";"V�lkerrecht";""
+3;"5236";"5236";"Wertpapierrecht";""
+3;"5237";"5237";"Wirtschaftsrecht";""
+3;"5238";"5238";"Zivilverfahrensrecht";""
+3;"5239";"5239";"Zivilrecht";""
+3;"5240";"5240";"Europarecht";""
+3;"5241";"5241";"Staatskirchenrecht";""
+3;"5242";"5242";"Umweltrecht";""
+3;"5243";"5243";"Frauenforschung, -fragen";""
+3;"5244";"5244";"Forschungsrecht, -politik";""
+3;"5245";"5245";"Medienrecht";""
+3;"5246";"5246";"Medizinrecht";""
+3;"5247";"5247";"Menschenrechte (auch: Schutz der -)";""
+3;"5248";"5248";"Patientenrechte";""
+3;"5249";"5249";"Raumordnungsrecht";""
+3;"5250";"5250";"Rechtsinformatik";""
+3;"5251";"5251";"Rechtstheorie";""
+3;"5252";"5252";"Grund- und Menschenrechte";""
+3;"5253";"5253";"Konsumentenschutzrecht";""
+3;"5254";"5254";"Wohnrecht";""
+3;"5255";"5255";"Datenschutz und Datensicherheit";""
+3;"5256";"5256";"Baurecht";""
+3;"5257";"5257";"Familien- und Erbrecht";""
+3;"5258";"5258";"F�deralismusforschung";""
+3;"5259";"5259";"Gewerberecht";""
+3;"5260";"5260";"Informationsrecht";""
+3;"5261";"5261";"Verfassungsvergleich (europ�ischer -, internationaler -)";""
+3;"5262";"5262";"Mediation";""
+3;"5263";"5263";"Sachenrecht";""
+3;"5264";"5264";"Schuldrecht";""
+3;"5265";"5265";"Verfassungslehre";""
+3;"5266";"5266";"Verfassungsrecht, allgemein";""
+3;"5267";"5267";"Verwaltungsrecht, allgemein";""
+3;"5268";"5268";"Rechtspsychologie";""
+3;"5269";"5269";"Rechtssoziologie";""
+3;"5270";"5270";"Wettbewerbsrecht";""
+3;"5271";"5271";"Patentrecht";""
+3;"5272";"5272";"Bankrecht";""
+3;"5273";"5273";"Allgemeine Staatslehre";""
+3;"5274";"5274";"Kapitalmarktrecht";""
+2;"53";"53";"Wirtschaftswissenschaften";""
+3;"5301";"5301";"Absatzwirtschaft";""
+3;"5302";"5302";"Agrar�konomie";""
+3;"5303";"5303";"Agrarpolitik";""
+3;"5304";"5304";"Arbeitsmarktforschung";""
+3;"5305";"5305";"Bankbetriebslehre";""
+3;"5306";"5306";"Betriebliche Datenverarbeitung";""
+3;"5307";"5307";"Betriebswirtschaftslehre";""
+3;"5308";"5308";"Betriebswissenschaften";""
+3;"5309";"5309";"Entwicklungshilfe";""
+3;"5310";"5310";"Fertigungswirtschaft";""
+3;"5311";"5311";"Finanzwissenschaft";""
+3;"5312";"5312";"Fremdenverkehrsforschung";""
+3;"5313";"5313";"Genossenschaftswesen";""
+3;"5314";"5314";"Gewerbeforschung";""
+3;"5315";"5315";"Handelswissenschaft";""
+3;"5316";"5316";"Industriebetriebslehre";""
+3;"5317";"5317";"Industrielle Unternehmensforschung";""
+3;"5318";"5318";"Landwirtschaftliche Betriebswirtschaft";""
+3;"5319";"5319";"Landwirtschaftliche Marktlehre";""
+3;"5320";"5320";"Marketing";""
+3;"5321";"5321";"Marktforschung";""
+3;"5322";"5322";"National�konomie";""
+3;"5323";"5323";"�konometrie";""
+3;"5324";"5324";"Organisationsforschung";""
+3;"5325";"5325";"Politische �konomie";""
+3;"5326";"5326";"Produktionsforschung";""
+3;"5327";"5327";"Rechnungswesen";""
+3;"5328";"5328";"Revisions- und Treuhandwesen";""
+3;"5329";"5329";"Standort�konomie";""
+3;"5330";"5330";"Standortplanung";""
+3;"5331";"5331";"Strukturpolitik";""
+3;"5332";"5332";"Transportwirtschaft";""
+3;"5333";"5333";"Unternehmensf�hrung";""
+3;"5334";"5334";"Volkswirtschaftspolitik";""
+3;"5335";"5335";"Volkswirtschaftstheorie";""
+3;"5336";"5336";"Warenwirtschaftslehre";""
+3;"5337";"5337";"Welthandelslehre";""
+3;"5338";"5338";"Werbewissenschaft";""
+3;"5339";"5339";"Wirtschaftsanalysen";""
+3;"5340";"5340";"Wirtschaftsgeschichte";""
+3;"5341";"5341";"Wirtschaftspolitik";""
+3;"5343";"5343";"Wirtschaftstheorie";""
+3;"5344";"5344";"Au�enhandel";""
+3;"5345";"5345";"Gemeinwirtschaft";""
+3;"5346";"5346";"�konomie des Gesundheitswesens";""
+3;"5347";"5347";"Operations Research";""
+3;"5348";"5348";"Wirtschaftsp�dagogik";""
+3;"5349";"5349";"Steuerlehre, betriebswirtschaftliche -";""
+3;"5350";"5350";"Innovationsforschung";""
+3;"5351";"5351";"�ffentliche Wirtschaft";""
+3;"5352";"5352";"Personalwesen, -wirtschaft";""
+3;"5353";"5353";"Umwelt�konomie";""
+3;"5354";"5354";"Betriebswirtschaftliche Logistik";""
+3;"5355";"5355";"Computerintegrierte Fertigung (CIM)";""
+3;"5356";"5356";"Krankenhaus�konomie";""
+3;"5357";"5357";"Unternehmensberatung";""
+3;"5358";"5358";"Betriebliche Finanzwirtschaft";""
+3;"5359";"5359";"Controlling";""
+3;"5360";"5360";"Finanzmathematik";""
+3;"5361";"5361";"Finanzwirtschaft";""
+3;"5362";"5362";"Kultur�konomie";""
+3;"5363";"5363";"Non-Profit-Sector-Forschung (NPO, NPI)";""
+3;"5364";"5364";"Projektmanagement";""
+3;"5365";"5365";"Qualit�tsmanagement";""
+3;"5366";"5366";"Informationsgesellschaft";""
+3;"5367";"5367";"Wirtschaftsinformatik";""
+3;"5368";"5368";"Nachhaltige Entwicklung, Nachhaltiges Wirtschaften";""
+3;"5369";"5369";"Umweltmanagement";""
+3;"5370";"5370";"Industrie�konomik";""
+3;"5371";"5371";"Makro�konomie";""
+3;"5372";"5372";"Regulierungs�konomik";""
+2;"54";"54";"Soziologie";""
+3;"5401";"5401";"Allgemeine Sozialforschung";""
+3;"5402";"5402";"Allgemeine Soziologie";""
+3;"5403";"5403";"Bildungssoziologie";""
+3;"5404";"5404";"Demographie";""
+3;"5405";"5405";"Empirische Sozialforschung";""
+3;"5406";"5406";"Entwicklungshilfe";""
+3;"5407";"5407";"Ethik und Sozialwissenschaften";""
+3;"5408";"5408";"Friedensforschung";""
+3;"5409";"5409";"Kirchliche Sozialforschung";""
+3;"5410";"5410";"Kulturwissenschaft";""
+3;"5411";"5411";"Sozialphilosophie";""
+3;"5412";"5412";"Soziographie";""
+3;"5413";"5413";"Soziologische Methoden";""
+3;"5414";"5414";"Spezielle Soziologie";""
+3;"5415";"5415";"Wirtschaftssoziologie";""
+3;"5416";"5416";"Betriebssoziologie";""
+3;"5417";"5417";"Frauenforschung, -fragen";""
+3;"5418";"5418";"Gerontologie";""
+3;"5419";"5419";"Medizinsoziologie";""
+3;"5420";"5420";"Musiksoziologie";""
+3;"5421";"5421";"Alternsforschung";""
+3;"5422";"5422";"Feminismusfragen";""
+3;"5423";"5423";"Kinderforschung, Jugendforschung";""
+3;"5424";"5424";"P�dagogische Soziologie";""
+3;"5425";"5425";"Umweltsoziologie";""
+3;"5426";"5426";"Informationsgesellschaft";""
+3;"5427";"5427";"Armutsforschung, soziale Ausgrenzung";""
+3;"5428";"5428";"Migrationsforschung, Emigrations-";""
+3;"5429";"5429";"Familienforschung";""
+3;"5430";"5430";"Rechtssoziologie";""
+3;"5431";"5431";"Techniksoziologie";""
+3;"5432";"5432";"Freizeitforschung";""
+3;"5433";"5433";"Gender Studies";""
+3;"5434";"5434";"Religionssoziologie";""
+3;"5435";"5435";"Suchtforschung";""
+2;"55";"55";"Psychologie";""
+3;"5501";"5501";"Allgemeine Psychologie";""
+3;"5502";"5502";"Berufs-, Arbeits-, Betriebspsychologie";""
+3;"5503";"5503";"Differentielle Psychologie";""
+3;"5504";"5504";"Experimentelle Psychologie";""
+3;"5505";"5505";"Kinder- und Jugendpsychologie";""
+3;"5506";"5506";"Lernpsychologie";""
+3;"5507";"5507";"Motivationspsychologie";""
+3;"5508";"5508";"P�dagogische Psychologie";""
+3;"5509";"5509";"Psychologische Methodik";""
+3;"5510";"5510";"Psychotherapie";""
+3;"5511";"5511";"Sozialpsychologie";""
+3;"5512";"5512";"Tiefenpsychologie";""
+3;"5513";"5513";"Verhaltenspsychologie";""
+3;"5514";"5514";"Verkehrspsychologie";""
+3;"5515";"5515";"Wahrnehmungspsychologie";""
+3;"5516";"5516";"Klinische Psychologie";""
+3;"5517";"5517";"Organisationspsychologie";""
+3;"5518";"5518";"Parapsychologie";""
+3;"5519";"5519";"Pastoralpsychologie";""
+3;"5520";"5520";"Behindertenfragen, -forschung";""
+3;"5521";"5521";"Kognitionspsychologie";""
+3;"5522";"5522";"Psychophysiologie";""
+3;"5523";"5523";"Rechtspsychologie";""
+3;"5524";"5524";"Entwicklungspsychologie";""
+3;"5525";"5525";"Familienforschung";""
+3;"5526";"5526";"Konfliktforschung";""
+3;"5527";"5527";"Mediation";""
+3;"5528";"5528";"Sexualwissenschaften, -kunde";""
+3;"5529";"5529";"Gruppendynamik";""
+3;"5530";"5530";"Psychoanalyse";""
+3;"5531";"5531";"Verhaltenstherapie";""
+3;"5532";"5532";"Angewandte Psychologie";""
+3;"5533";"5533";"Suchtforschung";""
+2;"56";"56";"Raumplanung";""
+3;"5601";"5601";"Fl�chenwidmung";""
+3;"5602";"5602";"Landesplanung";""
+3;"5603";"5603";"Landschaftspflege";""
+3;"5604";"5604";"Naturschutz(-forschung)";""
+3;"5605";"5605";"�rtliche Raumplanung";""
+3;"5606";"5606";"Raumforschung";""
+3;"5607";"5607";"Raumordnung";""
+3;"5608";"5608";"Regionalentwicklung, -splanung";""
+3;"5609";"5609";"St�dtebau";""
+3;"5610";"5610";"Stadtentwicklungsplanung";""
+3;"5611";"5611";"Stadt- und Regionalanalyse";""
+3;"5612";"5612";"Standort�konomie";""
+3;"5613";"5613";"Standortplanung";""
+3;"5614";"5614";"Umweltgestaltung";""
+3;"5615";"5615";"Verkehrsplanung, -sicherheit";""
+3;"5616";"5616";"Geographische Informationssysteme (GIS)";""
+3;"5617";"5617";"Landschaftsplanung";""
+3;"5618";"5618";"Regional�konomie";""
+3;"5619";"5619";"Landschafts�kologie";""
+3;"5620";"5620";"Kulturlandschaftsforschung";""
+3;"5621";"5621";"Landschaftsarchitektur";""
+2;"57";"57";"Angewandte Statistik, Sozialstatistik";""
+3;"5701";"5701";"Angewandte Statistik";""
+3;"5702";"5702";"Bev�lkerungsstatistik";""
+3;"5703";"5703";"Demographie";""
+3;"5704";"5704";"Sozialstatistik";""
+3;"5705";"5705";"Statistische Erhebungen";""
+3;"5706";"5706";"Wirtschaftsstatistik";""
+3;"5707";"5707";"Zeitreihenanalyse";""
+2;"58";"58";"P�dagogik, Erziehungswissenschaften";""
+3;"5801";"5801";"Allgemeine P�dagogik";""
+3;"5802";"5802";"Angewandte P�dagogik";""
+3;"5803";"5803";"Bildungsforschung";""
+3;"5804";"5804";"Bildungs�konomie";""
+3;"5805";"5805";"Bildungsplanung";""
+3;"5806";"5806";"Bildungssoziologie";""
+3;"5807";"5807";"Didaktik";""
+3;"5808";"5808";"Hochschuldidaktik";""
+3;"5809";"5809";"Sportp�dagogik";""
+3;"5810";"5810";"Lernpsychologie";""
+3;"5811";"5811";"Motivationspsychologie";""
+3;"5812";"5812";"P�dagogische Psychologie";""
+3;"5813";"5813";"Schulp�dagogik";""
+3;"5814";"5814";"Sportwissenschaften";""
+3;"5815";"5815";"Theoretische P�dagogik";""
+3;"5816";"5816";"Unterrichtswissenschaft";""
+3;"5817";"5817";"Vergleichende Erziehungswissenschaft";""
+3;"5818";"5818";"Wirtschaftsp�dagogik";""
+3;"5819";"5819";"Berufsp�dagogik";""
+3;"5820";"5820";"Betriebsp�dagogik";""
+3;"5821";"5821";"Erwachsenenbildung";""
+3;"5822";"5822";"Medienp�dagogik";""
+3;"5823";"5823";"Sozialp�dagogik";""
+3;"5824";"5824";"Sonder- und Heilp�dagogik";""
+3;"5825";"5825";"Atem- und Stimmerziehung";""
+3;"5826";"5826";"Freizeitp�dagogik";""
+3;"5827";"5827";"Museumsp�dagogik";""
+3;"5828";"5828";"Fachdidaktik (Naturwissenschaften)";""
+3;"5829";"5829";"Fachdidaktik (Technische Wissenschaften)";""
+3;"5830";"5830";"Fachdidaktik (Humanmedizin)";""
+3;"5831";"5831";"Fachdidaktik (Land- und Forstwirtschaft, Veterin�rmedizin)";""
+3;"5832";"5832";"Fachdidaktik (Sozialwissenschaften)";""
+3;"5833";"5833";"Fachdidaktik (Geisteswissenschaften)";""
+3;"5834";"5834";"Behindertenfragen, -forschung";""
+3;"5835";"5835";"P�dagogische Soziologie";""
+3;"5836";"5836";"Schulmathematik und Didaktik der Mathematik";""
+3;"5837";"5837";"Gruppendynamik";""
+3;"5838";"5838";"E-Learning, Telelearning";""
+3;"5839";"5839";"Trainingswissenschaft";""
+3;"5840";"5840";"Musikp�dagogik";""
+3;"5841";"5841";"Begabungs- und Begabtenforschung";""
+3;"5842";"5842";"Politische Bildung";""
+2;"59";"59";"Sonstige und interdisziplin�re Sozialwissenschaften";""
+3;"5901";"5901";"Allgemeine Sozialforschung";""
+3;"5902";"5902";"Arbeitsmarktforschung";""
+3;"5903";"5903";"Arbeitsmarktpolitik";""
+3;"5904";"5904";"Arbeitswissenschaft";""
+3;"5905";"5905";"Berufsberatung";""
+3;"5906";"5906";"Bildungs�konomie";""
+3;"5907";"5907";"Entwicklungshilfe";""
+3;"5908";"5908";"Kulturgeographie";""
+3;"5909";"5909";"Regionale Geographie";""
+3;"5910";"5910";"Milit�rstrategische Forschung";""
+3;"5911";"5911";"Sozialpolitik";""
+3;"5912";"5912";"Sozialwissenschaften interdisziplin�r";""
+3;"5913";"5913";"Sozialwissenschaftliche Dokumentation";""
+3;"5914";"5914";"Umweltforschung";""
+3;"5915";"5915";"Wirtschaftsgeographie";""
+3;"5916";"5916";"Berufskunde";""
+3;"5917";"5917";"Kommunikationswissenschaft";""
+3;"5918";"5918";"Medienforschung, -kunde";""
+3;"5919";"5919";"Operations Research";""
+3;"5920";"5920";"Publizistik";""
+3;"5921";"5921";"Sozialgeographie";""
+3;"5922";"5922";"Systemanalyse";""
+3;"5923";"5923";"Technikfolgenabsch�tzung";""
+3;"5924";"5924";"Umwelt�konomie";""
+3;"5925";"5925";"Zivil- und Katastrophenschutz";""
+3;"5926";"5926";"Fachdidaktik (Sozialwissenschaften)";""
+3;"5927";"5927";"Ethnographie";""
+3;"5928";"5928";"Ethnologie / V�lkerkunde";""
+3;"5929";"5929";"Ethnosoziologie";""
+3;"5930";"5930";"Kulturanthropologie";""
+3;"5932";"5932";"Europ�ische Ethnologie / Volkskunde";""
+3;"5933";"5933";"Alternsforschung";""
+3;"5934";"5934";"Behindertenfragen, -forschung";""
+3;"5935";"5935";"Frauenforschung, -fragen";""
+3;"5936";"5936";"Forschungs- und Innovationsmanagement";""
+3;"5937";"5937";"Informationssysteme";""
+3;"5938";"5938";"Kinderforschung, Jugendforschung";""
+3;"5939";"5939";"Umweltschutz";""
+3;"5940";"5940";"Volksgruppen, -forschung";""
+3;"5941";"5941";"Informationsgesellschaft";""
+3;"5942";"5942";"Europ�ische Integration";""
+3;"5943";"5943";"Risikoforschung";""
+3;"5944";"5944";"Technologietransfer";""
+3;"5945";"5945";"Organisationsentwicklung";""
+3;"5946";"5946";"Kooperation Wissenschaft-Wirtschaft";""
+3;"5947";"5947";"Minderheitenforschung";""
+3;"5948";"5948";"Aktionsforschung (Actions Research)";""
+3;"5949";"5949";"Audiovisuelle Medien";""
+3;"5950";"5950";"Ecodesign";""
+3;"5951";"5951";"E-Government";""
+3;"5952";"5952";"Migrationsforschung, Emigrations-";""
+3;"5953";"5953";"Spieltheorie";""
+3;"5954";"5954";"Wissensmanagement";""
+3;"5955";"5955";"Zukunftsforschung interdisziplin�r";""
+3;"5956";"5956";"Freizeitforschung";""
+3;"5957";"5957";"Gender Studies (Sozialwissenschaften)";""
+3;"5958";"5958";"Geschichte der Sozialwissenschaften";""
+3;"5959";"5959";"Unfallforschung";""
+3;"5960";"5960";"Spielforschung";""
+3;"5961";"5961";"Bev�lkerungsgeographie";""
+3;"5962";"5962";"Entwicklungszusammenarbeit";""
+3;"5963";"5963";"Evaluationsforschung";""
+3;"5964";"5964";"Wissenschaftsforschung";""
+3;"5965";"5965";"Graffiti-Forschung";""
+3;"5966";"5966";"Journalistik";""
+1;"6";"6";"GEISTESWISSENSCHAFTEN";""
+2;"61";"61";"Philosophie";""
+3;"6101";"6101";"Allgemeine Philosophie";""
+3;"6102";"6102";"Erkenntnistheorie";""
+3;"6103";"6103";"Ethik";""
+3;"6104";"6104";"Geschichtsphilosophie";""
+3;"6105";"6105";"Logik";""
+3;"6106";"6106";"Metaphysik";""
+3;"6107";"6107";"Naturphilosophie";""
+3;"6108";"6108";"Philosophische Gesellschaftslehre";""
+3;"6109";"6109";"Philosophische Soziologie";""
+3;"6110";"6110";"Rechts- und Staatsphilosophie";""
+3;"6111";"6111";"Wissenschaftstheorie";""
+3;"6112";"6112";"Sprachphilosophie";""
+3;"6113";"6113";"�sthetik";""
+3;"6114";"6114";"Philosophische Anthropologie";""
+3;"6115";"6115";"Religionsphilosophie";""
+3;"6116";"6116";"Hermeneutik";""
+3;"6117";"6117";"Medizinische Ethik";""
+3;"6118";"6118";"Technikphilosophie";""
+3;"6119";"6119";"Sozialphilosophie";""
+3;"6120";"6120";"Wissenschaftsgeschichte";""
+3;"6121";"6121";"Bioethik";""
+3;"6122";"6122";"Kulturphilosophie";""
+3;"6123";"6123";"Wirtschaftsethik";""
+2;"64";"64";"Theologie";""
+3;"6401";"6401";"Alttestamentliche Bibelwissenschaft";""
+3;"6402";"6402";"Atheismusforschung";""
+3;"6403";"6403";"Christliche Arch�ologie";""
+3;"6404";"6404";"Christliche Philosophie";""
+3;"6405";"6405";"Dogmatische Theologie";""
+3;"6406";"6406";"Fundamentaltheologie";""
+3;"6407";"6407";"Katechetik";""
+3;"6408";"6408";"Kirchengeschichte";""
+3;"6409";"6409";"Kirchenrecht";""
+3;"6410";"6410";"Liturgiewissenschaft";""
+3;"6411";"6411";"Moraltheologie";""
+3;"6412";"6412";"Neutestamentliche Bibelwissenschaft";""
+3;"6413";"6413";"�kumenische Theologie";""
+3;"6414";"6414";"Pastoraltheologie";""
+3;"6415";"6415";"Patrologie";""
+3;"6416";"6416";"Religionsp�dagogik";""
+3;"6417";"6417";"Religionswissenschaft";""
+3;"6418";"6418";"Theologische Anthropologie";""
+3;"6419";"6419";"Christliche Soziallehre";""
+3;"6420";"6420";"Pastoralpsychologie";""
+3;"6421";"6421";"Religionsphilosophie";""
+3;"6422";"6422";"Exegese";""
+3;"6423";"6423";"Feminismusfragen";""
+3;"6424";"6424";"Religionsgeschichte";""
+3;"6425";"6425";"Spirituelle Theologie";""
+3;"6426";"6426";"Homiletik";""
+3;"6427";"6427";"Religionssoziologie";""
+3;"6428";"6428";"Seelsorge";""
+2;"65";"65";"Historische Wissenschaften";""
+3;"6501";"6501";"Alte Geschichte";""
+3;"6502";"6502";"Altertumskunde";""
+3;"6503";"6503";"Numismatik";""
+3;"6504";"6504";"Archivwesen";""
+3;"6505";"6505";"Fr�hgeschichte";""
+3;"6506";"6506";"Geschichte der �sterreichisch-ungarischen Monarchie";""
+3;"6507";"6507";"Geschichtliche Landeskunde";""
+3;"6508";"6508";"Geschichtswissenschaft";""
+3;"6509";"6509";"Historische Hilfswissenschaften";""
+3;"6510";"6510";"Klassische Arch�ologie";""
+3;"6511";"6511";"Mittelalterliche Geschichte";""
+3;"6512";"6512";"Musealwesen, Museologie";""
+3;"6513";"6513";"Neuere Geschichte";""
+3;"6514";"6514";"�sterreichische Geschichte";""
+3;"6515";"6515";"Osteurop�ische Geschichte";""
+3;"6516";"6516";"Quellenkunde, Quellenedition";""
+3;"6517";"6517";"Rechtsgeschichte";""
+3;"6518";"6518";"Sozialgeschichte";""
+3;"6519";"6519";"S�dosteurop�ische Geschichte";""
+3;"6520";"6520";"Urgeschichte";""
+3;"6521";"6521";"Wirtschaftsgeschichte";""
+3;"6522";"6522";"Zeitgeschichte";""
+3;"6523";"6523";"Arch�ologie";""
+3;"6524";"6524";"Regionalgeschichte";""
+3;"6525";"6525";"Stadtgeschichte";""
+3;"6526";"6526";"Wissenschaftsgeschichte";""
+3;"6527";"6527";"Kulturgeschichte";""
+3;"6528";"6528";"Papyrologie";""
+3;"6529";"6529";"Epigraphik";""
+3;"6530";"6530";"Feminismusfragen";""
+3;"6532";"6532";"Minderheitenforschung";""
+3;"6533";"6533";"Musikgeschichte";""
+3;"6534";"6534";"Geschichte der Geisteswissenschaften";""
+3;"6535";"6535";"Geschichte der Naturwissenschaften";""
+3;"6536";"6536";"Geschichte der Sozialwissenschaften";""
+3;"6537";"6537";"Geschichte der Technischen Wissenschaften";""
+3;"6538";"6538";"Geschichte der Veterin�rmedizin";""
+3;"6539";"6539";"Pal�ographie, Handschriftenkunde";""
+2;"66";"66";"Sprach- und Literaturwissenschaften";""
+3;"6601";"6601";"Allgemeine Literaturwissenschaft";""
+3;"6602";"6602";"Allgemeine Sprachwissenschaft";""
+3;"6603";"6603";"Amerikanistik";""
+3;"6604";"6604";"Angewandte Sprachwissenschaft";""
+3;"6605";"6605";"Anglistik";""
+3;"6606";"6606";"Diachrone Sprachwissenschaft";""
+3;"6607";"6607";"Dolmetscher-, �bersetzerausbildung";""
+3;"6608";"6608";"Germanistik";""
+3;"6609";"6609";"Indogermanistik";""
+3;"6610";"6610";"Klassische Philologie";""
+3;"6611";"6611";"Linguistik";""
+3;"6612";"6612";"Mundartkunde";""
+3;"6613";"6613";"Namenforschung";""
+3;"6614";"6614";"Skandinavistik";""
+3;"6615";"6615";"Romanistik";""
+3;"6616";"6616";"Slawistik";""
+3;"6617";"6617";"Literaturwissenschaft (auch: vergleichende -)";""
+3;"6618";"6618";"Sprachwissenschaft (auch: vergleichende -)";""
+3;"6619";"6619";"Lexikographie";""
+3;"6620";"6620";"Literaturgeschichte";""
+3;"6621";"6621";"Mittellateinische Philologie";""
+3;"6622";"6622";"Psycholinguistik";""
+3;"6623";"6623";"Soziolinguistik";""
+3;"6624";"6624";"Sprachunterrichtsforschung";""
+3;"6625";"6625";"Fachsprachenforschung";""
+3;"6626";"6626";"Hermeneutik";""
+3;"6628";"6628";"Keltologie";""
+3;"6629";"6629";"Terminologie(-wissenschaft)";""
+3;"6630";"6630";"Geb�rdensprachforschung";""
+3;"6631";"6631";"Translations-(Dolmetsch-, �bersetzungs-)wissenschaft";""
+3;"6632";"6632";"Australistik";""
+3;"6633";"6633";"Computerlinguistik";""
+3;"6634";"6634";"Kognitive Linguistik";""
+3;"6635";"6635";"Elektronische Sprachverarbeitung";""
+3;"6636";"6636";"Semiotik";""
+3;"6637";"6637";"Phonetik";""
+3;"6638";"6638";"Gr�zistik";""
+3;"6639";"6639";"Latinistik";""
+3;"6640";"6640";"Finno-Ugristik";""
+3;"6641";"6641";"Neulateinische Philologie";""
+3;"6642";"6642";"Phonologie";""
+3;"6643";"6643";"Synchrone Sprachwissenschaft";""
+3;"6644";"6644";"Nederlandistik";""
+2;"67";"67";"Sonstige philologisch-kulturkundliche Richtungen";""
+3;"6701";"6701";"Afrikanistik";""
+3;"6702";"6702";"�gyptologie";""
+3;"6704";"6704";"Altsemitische Philologie";""
+3;"6705";"6705";"Arabistik";""
+3;"6706";"6706";"Buddhismuskunde";""
+3;"6707";"6707";"Byzantinistik";""
+3;"6709";"6709";"Indologie";""
+3;"6710";"6710";"Islamkunde";""
+3;"6711";"6711";"Japanologie";""
+3;"6712";"6712";"Judaistik";""
+3;"6713";"6713";"Orientalistik";""
+3;"6714";"6714";"Sinologie";""
+3;"6715";"6715";"Tibetologie";""
+3;"6716";"6716";"Turkologie";""
+3;"6717";"6717";"Papyrologie";""
+3;"6718";"6718";"Epigraphik";""
+3;"6719";"6719";"Iranistik";""
+3;"6720";"6720";"Religionsgeschichte";""
+3;"6721";"6721";"Kulturwissenschaft";""
+3;"6723";"6723";"Pal�ographie, Handschriftenkunde";""
+3;"6724";"6724";"Phonetik";""
+3;"6725";"6725";"Koptologie";""
+2;"68";"68";"Kunstwissenschaften";""
+3;"6801";"6801";"Angewandte Kunst";""
+3;"6802";"6802";"Bildende Kunst";""
+3;"6803";"6803";"Darstellende Kunst";""
+3;"6804";"6804";"Denkmalpflege";""
+3;"6805";"6805";"Industrielle Formgebung, Industrial Design";""
+3;"6806";"6806";"Klassische Arch�ologie";""
+3;"6807";"6807";"Kunsterziehung";""
+3;"6808";"6808";"Kunstgeschichte";""
+3;"6809";"6809";"Musealwesen, Museologie";""
+3;"6810";"6810";"Musik";""
+3;"6811";"6811";"Musikp�dagogik";""
+3;"6812";"6812";"Musikwissenschaft";""
+3;"6813";"6813";"Restaurierung, Konservierung";""
+3;"6814";"6814";"Theaterwissenschaft";""
+3;"6815";"6815";"Produktgestaltung";""
+3;"6816";"6816";"Atem- und Stimmerziehung";""
+3;"6817";"6817";"Musiksoziologie";""
+3;"6818";"6818";"Volksmusikforschung";""
+3;"6819";"6819";"Kultur�konomie";""
+3;"6820";"6820";"Filmwissenschaft";""
+3;"6821";"6821";"Musikgeschichte";""
+3;"6822";"6822";"Gesang";""
+3;"6823";"6823";"Jazzforschung";""
+3;"6824";"6824";"Kirchenmusik";""
+3;"6825";"6825";"Popularmusikforschung";""
+3;"6826";"6826";"Ethnomusikologie";""
+3;"6827";"6827";"Musiktheorie";""
+3;"6828";"6828";"Architektonische Gestaltung";""
+3;"6829";"6829";"B�hnengestaltung";""
+3;"6830";"6830";"Design";""
+3;"6831";"6831";"Kunsttheorie";""
+3;"6832";"6832";"Medienkunst";""
+3;"6833";"6833";"Szenographie";""
+3;"6834";"6834";"Auff�hrungspraxis";""
+3;"6835";"6835";"Tanzwissenschaft";""
+2;"69";"69";"Sonstige und interdisziplin�re Geisteswissenschaften";""
+3;"6901";"6901";"Bibliothekswissenschaft";""
+3;"6902";"6902";"Geisteswissenschaftliche Dokumentation";""
+3;"6903";"6903";"Geisteswissenschaften interdisziplin�r";""
+3;"6904";"6904";"Kommunikationswissenschaft";""
+3;"6905";"6905";"Medienforschung, -kunde";""
+3;"6906";"6906";"Publikumsforschung";""
+3;"6907";"6907";"Publizistik";""
+3;"6908";"6908";"Fachdidaktik (Geisteswissenschaften)";""
+3;"6909";"6909";"Kultur�konomie";""
+3;"6910";"6910";"Rhetorik";""
+3;"6911";"6911";"Geschichte der Geisteswissenschaften";""
+3;"6912";"6912";"Gender Studies (Geisteswissenschaften)";""
+3;"6913";"6913";"Graffiti-Forschung";""
+3;"6914";"6914";"Journalistik";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2002_EN_CTI_20171007_030424.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2002_EN_CTI_20171007_030424.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8cf18870d432d8235ff62c262779914ef290d05b
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2002_EN_CTI_20171007_030424.txt
@@ -0,0 +1,1667 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURAL SCIENCES";""
+2;"11";"11";"Mathematics, Computer Sciences";""
+3;"1101";"1101";"ADP/EDP";""
+3;"1102";"1102";"Algebra";""
+3;"1103";"1103";"Analysis";""
+3;"1104";"1104";"Applied mathematics";""
+3;"1105";"1105";"Computer software";""
+3;"1106";"1106";"Formal languages";""
+3;"1107";"1107";"Geometry";""
+3;"1108";"1108";"Informatics";""
+3;"1109";"1109";"Information and data processing";""
+3;"1110";"1110";"Cybernetics";""
+3;"1111";"1111";"Logic";""
+3;"1112";"1112";"Logistics";""
+3;"1113";"1113";"Mathematical statistics";""
+3;"1114";"1114";"Numerical mathematics";""
+3;"1115";"1115";"Technical mathematics";""
+3;"1116";"1116";"Topology";""
+3;"1117";"1117";"Actuarial mathematics";""
+3;"1118";"1118";"Probability theory";""
+3;"1119";"1119";"Number theory";""
+3;"1120";"1120";"Combinatorics";""
+3;"1121";"1121";"Operations research";""
+3;"1122";"1122";"Artificial intelligence";""
+3;"1123";"1123";"Computer-aided design and manufacture (CAD/CAM)";""
+3;"1124";"1124";"Digital image processing and graphics";""
+3;"1125";"1125";"Computer integrated manufacturing (CIM)";""
+3;"1126";"1126";"Computer networks";""
+3;"1127";"1127";"Information science";""
+3;"1128";"1128";"Supercomputing";""
+3;"1129";"1129";"Mechatronics";""
+3;"1130";"1130";"Biomathematics";""
+3;"1131";"1131";"Computer algebra";""
+3;"1132";"1132";"Computer-aided animation";""
+3;"1133";"1133";"Computer-aided simulation";""
+3;"1134";"1134";"Computer supported cooperative work (CSCW)";""
+3;"1135";"1135";"Differential geometry";""
+3;"1136";"1136";"Integrated circuit design";""
+3;"1137";"1137";"Financial mathematics";""
+3;"1138";"1138";"Information systems";""
+3;"1139";"1139";"Neuronal (neural) networks";""
+3;"1140";"1140";"Software engineering";""
+3;"1141";"1141";"Symbolic computation";""
+3;"1142";"1142";"Systems theory";""
+3;"1143";"1143";"Terminology";""
+3;"1144";"1144";"Virtual reality";""
+3;"1145";"1145";"Time series analysis";""
+3;"1146";"1146";"Management information systems";""
+3;"1147";"1147";"IT security";""
+3;"1148";"1148";"Computational linguistics";""
+3;"1149";"1149";"Electronic voice processing";""
+3;"1150";"1150";"Information design";""
+3;"1151";"1151";"Numeric computation";""
+3;"1152";"1152";"Game theory";""
+3;"1153";"1153";"Legal informatics";""
+3;"1154";"1154";"Applied geometry";""
+3;"1155";"1155";"Image science";""
+3;"1156";"1156";"Web engineering";""
+3;"1157";"1157";"Usability research";""
+3;"1158";"1158";"Distributed systems";""
+3;"1159";"1159";"Bioinformatics";""
+3;"1160";"1160";"Grid computing";""
+3;"1161";"1161";"Human-computer interaction";""
+3;"1162";"1162";"Statistics";""
+3;"1163";"1163";"History of mathematics";""
+3;"1164";"1164";"Pervasive Computing";""
+3;"1165";"1165";"Stochastics";""
+2;"12";"12";"Physics, Mechanics, Astronomy";""
+3;"1201";"1201";"General mechanics";""
+3;"1202";"1202";"Acoustics";""
+3;"1203";"1203";"Applied physics";""
+3;"1204";"1204";"Astronomy";""
+3;"1205";"1205";"Astrophysics";""
+3;"1206";"1206";"Atomic, nuclear physics";""
+3;"1207";"1207";"Biophysics";""
+3;"1208";"1208";"Elementary particle physics";""
+3;"1209";"1209";"Experimental physics";""
+3;"1210";"1210";"Solid state physics";""
+3;"1211";"1211";"High energy physics";""
+3;"1212";"1212";"Nuclear, atomic energy";""
+3;"1213";"1213";"Optics";""
+3;"1214";"1214";"Physical electronics";""
+3;"1215";"1215";"Quantum mechanics";""
+3;"1217";"1217";"Reactor physics";""
+3;"1218";"1218";"Theory of relativity";""
+3;"1219";"1219";"Radiation protection";""
+3;"1220";"1220";"Fluid mechanics";""
+3;"1221";"1221";"Technical physics";""
+3;"1222";"1222";"Theoretical physics";""
+3;"1223";"1223";"Space exploration";""
+3;"1224";"1224";"Electron physics";""
+3;"1225";"1225";"Mathematical physics";""
+3;"1226";"1226";"Neutron physics";""
+3;"1227";"1227";"Photophysics";""
+3;"1228";"1228";"Plasma physics";""
+3;"1229";"1229";"Semiconductor physics";""
+3;"1230";"1230";"Laser physics";""
+3;"1231";"1231";"Metal physics";""
+3;"1232";"1232";"Biomechanics";""
+3;"1233";"1233";"Fracture mechanics";""
+3;"1234";"1234";"Dosimetry";""
+3;"1235";"1235";"Ion physics";""
+3;"1237";"1237";"Laser spectroscopy";""
+3;"1238";"1238";"Surface physics";""
+3;"1239";"1239";"Polymer physics";""
+3;"1240";"1240";"Statistical physics";""
+3;"1241";"1241";"Mechatronics";""
+3;"1242";"1242";"Mass spectrometry";""
+3;"1243";"1243";"Micromechanics (also: of materials)";""
+3;"1244";"1244";"Medium energy physics";""
+3;"1245";"1245";"Nanotechnology";""
+3;"1246";"1246";"Quantum optics";""
+3;"1247";"1247";"Reaction kinetics";""
+3;"1248";"1248";"Spectroscopy (also: molecule -)";""
+3;"1249";"1249";"Radiation physics";""
+3;"1250";"1250";"Materials physics";""
+3;"1251";"1251";"Condensed matter";""
+3;"1252";"1252";"Continuum mechanics";""
+3;"1253";"1253";"Magnetism";""
+3;"1254";"1254";"Quantum field theory";""
+2;"13";"13";"Chemistry";""
+3;"1301";"1301";"General chemistry";""
+3;"1302";"1302";"Analytical chemistry";""
+3;"1303";"1303";"Inorganic chemistry";""
+3;"1304";"1304";"Biochemistry";""
+3;"1305";"1305";"Biochemical technology";""
+3;"1306";"1306";"Chemical technology";""
+3;"1307";"1307";"Electrochemistry";""
+3;"1308";"1308";"Food chemistry";""
+3;"1309";"1309";"Microchemistry";""
+3;"1310";"1310";"Organic chemistry";""
+3;"1311";"1311";"Photo chemistry";""
+3;"1312";"1312";"Physical chemistry";""
+3;"1313";"1313";"Radiochemistry";""
+3;"1314";"1314";"Radiation chemistry";""
+3;"1315";"1315";"Structural chemistry";""
+3;"1316";"1316";"Technical chemistry";""
+3;"1317";"1317";"Theoretical chemistry";""
+3;"1318";"1318";"Solid state chemistry";""
+3;"1319";"1319";"Forensic chemistry";""
+3;"1320";"1320";"Biotechnology";""
+3;"1321";"1321";"Macromolecular chemistry";""
+3;"1322";"1322";"Surface chemistry";""
+3;"1323";"1323";"Polymer chemistry";""
+3;"1324";"1324";"X-ray fluorescence (analysis)";""
+3;"1325";"1325";"Enzyme technology";""
+3;"1326";"1326";"Corrosion protection";""
+3;"1327";"1327";"Spectroscopy (also: molecule -)";""
+3;"1328";"1328";"Reaction kinetics";""
+3;"1329";"1329";"Environmental chemistry";""
+3;"1330";"1330";"Structural biology";""
+3;"1331";"1331";"Biocatalysis";""
+3;"1332";"1332";"Chemical biology";""
+3;"1333";"1333";"Natural product chemistry";""
+3;"1334";"1334";"Organometallic chemistry";""
+2;"14";"14";"Biology, Botany, Zoology";""
+3;"1401";"1401";"General biology";""
+3;"1402";"1402";"Biochemistry";""
+3;"1403";"1403";"Biophysics";""
+3;"1404";"1404";"Botany";""
+3;"1405";"1405";"Cell biology (cytology)";""
+3;"1406";"1406";"Experimental zoology";""
+3;"1407";"1407";"Genetics";""
+3;"1408";"1408";"Geobotany";""
+3;"1409";"1409";"Human biology";""
+3;"1410";"1410";"Microbiology";""
+3;"1411";"1411";"Molecular biology";""
+3;"1412";"1412";"Ecology of plants";""
+3;"1413";"1413";"Ecology of animals";""
+3;"1414";"1414";"Ecosystem research";""
+3;"1415";"1415";"Palaeobotany";""
+3;"1416";"1416";"Palaeontology";""
+3;"1417";"1417";"Plant anatomy";""
+3;"1418";"1418";"Plant physiology";""
+3;"1419";"1419";"Phytotechnology";""
+3;"1420";"1420";"Animal anatomy";""
+3;"1421";"1421";"Animal physiology";""
+3;"1422";"1422";"Comparative behaviour (ethology)";""
+3;"1423";"1423";"Zoology";""
+3;"1424";"1424";"Zoophysiology";""
+3;"1425";"1425";"Developmental history";""
+3;"1426";"1426";"Evolution";""
+3;"1427";"1427";"Plant morphology";""
+3;"1428";"1428";"Phytochemistry";""
+3;"1429";"1429";"Systematic botany";""
+3;"1430";"1430";"Zoogeography";""
+3;"1431";"1431";"Animal systematics";""
+3;"1432";"1432";"Biotechnology";""
+3;"1433";"1433";"Genetic engineering, - technology";""
+3;"1434";"1434";"Biomechanics";""
+3;"1435";"1435";"Mycology";""
+3;"1436";"1436";"Ultrastructure research";""
+3;"1437";"1437";"Vegetation science";""
+3;"1438";"1438";"Biomathematics";""
+3;"1439";"1439";"Chronobiology";""
+3;"1440";"1440";"Enzyme technology";""
+3;"1441";"1441";"Nanotechnology";""
+3;"1442";"1442";"Spectroscopy (also: molecule -)";""
+3;"1443";"1443";"Photobiology";""
+3;"1444";"1444";"DNA analysis (also: genetic fingerprinting)";""
+3;"1445";"1445";"Faunistics";""
+3;"1446";"1446";"Vascular biology";""
+3;"1447";"1447";"Neurobiology";""
+3;"1448";"1448";"Stem cell research";""
+3;"1449";"1449";"Radiation biology";""
+3;"1450";"1450";"Proteomics";""
+3;"1451";"1451";"Structural biology";""
+3;"1452";"1452";"Biodiversity research";""
+3;"1453";"1453";"Biological anthropology";""
+3;"1454";"1454";"Genomics";""
+3;"1455";"1455";"Theoretical biology";""
+3;"1456";"1456";"Bioinformatics";""
+3;"1457";"1457";"Developmental biology";""
+3;"1458";"1458";"Phylogeny";""
+3;"1459";"1459";"Reproductive biology";""
+3;"1460";"1460";"Biostatistics";""
+3;"1461";"1461";"Chemical biology";""
+3;"1462";"1462";"Replacement methods of animal experiments";""
+3;"1463";"1463";"Glycobiology";""
+3;"1464";"1464";"Limnology";""
+3;"1465";"1465";"Population genetics";""
+3;"1466";"1466";"Laboratory animal research and breeding";""
+2;"15";"15";"Geology, Mineralogy";""
+3;"1501";"1501";"Construction geology";""
+3;"1502";"1502";"Petroleum geology";""
+3;"1503";"1503";"Geodynamics";""
+3;"1504";"1504";"Geology";""
+3;"1505";"1505";"Geophysics";""
+3;"1507";"1507";"Crystallography";""
+3;"1508";"1508";"Mineralogy";""
+3;"1509";"1509";"Mining geology";""
+3;"1510";"1510";"Palaeontology";""
+3;"1511";"1511";"Petrography";""
+3;"1512";"1512";"Sedimentology";""
+3;"1513";"1513";"Structural chemistry";""
+3;"1514";"1514";"Technical geology";""
+3;"1515";"1515";"Tectonics";""
+3;"1516";"1516";"Soil science, -protection";""
+3;"1517";"1517";"Geochemistry";""
+3;"1518";"1518";"Geothermics";""
+3;"1519";"1519";"Glaciology";""
+3;"1520";"1520";"Geomorphology";""
+3;"1521";"1521";"Gravimetry";""
+3;"1522";"1522";"Magnetics";""
+3;"1523";"1523";"Seismology";""
+3;"1524";"1524";"Erosion (also: Erosion science, -protection)";""
+3;"1525";"1525";"Torrent and avalanche research";""
+3;"1526";"1526";"Petrology";""
+3;"1527";"1527";"Cultural geology";""
+3;"1528";"1528";"Geostatistics";""
+3;"1529";"1529";"Engineering geology";""
+3;"1530";"1530";"Stratigraphy";""
+2;"16";"16";"Meteorology, Climatology";""
+3;"1601";"1601";"Geophysics";""
+3;"1602";"1602";"Climatology";""
+3;"1603";"1603";"Meteorology";""
+3;"1604";"1604";"Space exploration";""
+3;"1605";"1605";"Glaciology";""
+3;"1606";"1606";"Bioclimatology";""
+3;"1607";"1607";"Agrometeorology";""
+3;"1608";"1608";"Global warming";""
+2;"17";"17";"Hydrology, Hydrography";""
+3;"1701";"1701";"Wastewater treatment";""
+3;"1702";"1702";"Water purification";""
+3;"1703";"1703";"Water pollution control";""
+3;"1704";"1704";"Hydromechanics";""
+3;"1705";"1705";"Hydrobiology";""
+3;"1706";"1706";"Hydrogeology";""
+3;"1707";"1707";"Hydrography";""
+3;"1708";"1708";"Hydrology";""
+3;"1709";"1709";"Limnology";""
+3;"1710";"1710";"Microbiology";""
+3;"1711";"1711";"Speleology";""
+3;"1712";"1712";"Water hygiene";""
+3;"1713";"1713";"Water technology";""
+3;"1714";"1714";"Water analysis";""
+3;"1715";"1715";"Water supply";""
+3;"1716";"1716";"Water management";""
+3;"1717";"1717";"Groundwater management";""
+3;"1718";"1718";"Erosion (also: erosion science, -protection)";""
+3;"1719";"1719";"Torrent and avalanche research";""
+3;"1720";"1720";"Flood control";""
+3;"1721";"1721";"Hydrochemistry";""
+2;"18";"18";"Geography";""
+3;"1801";"1801";"Applied geography";""
+3;"1802";"1802";"Cartography";""
+3;"1803";"1803";"Cultural geography";""
+3;"1804";"1804";"Regional geography";""
+3;"1805";"1805";"Physical geography";""
+3;"1806";"1806";"Topography";""
+3;"1807";"1807";"Economic geography";""
+3;"1808";"1808";"Glaciology";""
+3;"1809";"1809";"Social geography";""
+3;"1810";"1810";"Geographic Information Systems (GIS)";""
+3;"1811";"1811";"Political geography";""
+3;"1812";"1812";"Regional development planning";""
+3;"1813";"1813";"Population geography";""
+3;"1814";"1814";"Geomorphology";""
+2;"19";"19";"Other and interdisciplinary Natural Sciences";""
+3;"1901";"1901";"Electron microscopy";""
+3;"1902";"1902";"Gas chromatography";""
+3;"1903";"1903";"Food analysis";""
+3;"1904";"1904";"Interdisciplinary natural sciences";""
+3;"1905";"1905";"Natural scientific documentation";""
+3;"1906";"1906";"X-ray structure analysis";""
+3;"1907";"1907";"Environmental research";""
+3;"1908";"1908";"Soil science, -protection";""
+3;"1909";"1909";"Resource economics, - management";""
+3;"1910";"1910";"Clean-up of contaminated sites";""
+3;"1911";"1911";"Archeometry";""
+3;"1912";"1912";"Dosimetry";""
+3;"1913";"1913";"Subject didactics (natural sciences)";""
+3;"1914";"1914";"Isotope technology";""
+3;"1915";"1915";"Computer-aided simulation";""
+3;"1916";"1916";"Ecotech";""
+3;"1917";"1917";"Environmental protection";""
+3;"1918";"1918";"Risk research";""
+3;"1919";"1919";"Information design";""
+3;"1920";"1920";"Air pollution control";""
+3;"1921";"1921";"Long-term ecological research";""
+3;"1922";"1922";"Textile chemistry, -physics";""
+3;"1923";"1923";"Exercise sciences";""
+3;"1924";"1924";"Environmental chemistry";""
+3;"1925";"1925";"Knowledge management";""
+3;"1926";"1926";"History of mathematics";""
+3;"1927";"1927";"History of natural sciences";""
+3;"1928";"1928";"Flood control";""
+3;"1929";"1929";"Waste management";""
+3;"1930";"1930";"Soil bioengineering";""
+3;"1931";"1931";"Nature conservation (- research)";""
+3;"1932";"1932";"Ecotoxicology";""
+3;"1933";"1933";"Civil defence and disaster control";""
+3;"1934";"1934";"Nutritional sciences";""
+1;"2";"2";"TECHNICAL SCIENCES";""
+2;"21";"21";"Mining, Metallurgy";""
+3;"2101";"2101";"Mineral resources processing";""
+3;"2102";"2102";"Mining engineering";""
+3;"2103";"2103";"Mining damage";""
+3;"2104";"2104";"Ironworks technology";""
+3;"2105";"2105";"Petroleum geology";""
+3;"2106";"2106";"Petroleum engineering";""
+3;"2107";"2107";"Fireproof building materials";""
+3;"2108";"2108";"Conveying technology";""
+3;"2109";"2109";"Ceramics engineering";""
+3;"2110";"2110";"Foundry technology";""
+3;"2111";"2111";"Nonferrous metallurgy";""
+3;"2113";"2113";"Industrial furnace engineering";""
+3;"2114";"2114";"Exploration of mineral deposits";""
+3;"2115";"2115";"Economic geology";""
+3;"2116";"2116";"Mine surveying";""
+3;"2117";"2117";"Physical metallurgy";""
+3;"2118";"2118";"Metallurgy";""
+3;"2119";"2119";"Mining geology";""
+3;"2120";"2120";"Welding engineering";""
+3;"2121";"2121";"Heat engineering";""
+3;"2122";"2122";"Materials testing";""
+3;"2123";"2123";"Deep drilling techniques";""
+3;"2124";"2124";"Combustion technology";""
+3;"2125";"2125";"Underground mining";""
+3;"2126";"2126";"Forming technology (metal)";""
+3;"2127";"2127";"Materials technology";""
+2;"22";"22";"Mechanical Engineering";""
+3;"2201";"2201";"Computer hardware, ADVA";""
+3;"2202";"2202";"Steam and gas turbines";""
+3;"2203";"2203";"Energy technology";""
+3;"2204";"2204";"Precision engineering";""
+3;"2205";"2205";"Aircraft construction";""
+3;"2206";"2206";"Conveying technology";""
+3;"2207";"2207";"Industrial furnace engineering";""
+3;"2208";"2208";"Instrument construction";""
+3;"2209";"2209";"Boiler and reactor construction";""
+3;"2210";"2210";"Automotive engineering";""
+3;"2211";"2211";"Lightweight construction";""
+3;"2212";"2212";"Mechanical engineering";""
+3;"2213";"2213";"Mechanical dynamics";""
+3;"2214";"2214";"Mechanical technology";""
+3;"2215";"2215";"Measurement technology";""
+3;"2216";"2216";"Mining machine technology";""
+3;"2217";"2217";"Reactor technology";""
+3;"2218";"2218";"Ship technology";""
+3;"2219";"2219";"Fluid mechanics";""
+3;"2220";"2220";"Turbo machines";""
+3;"2221";"2221";"Technical mechanics";""
+3;"2222";"2222";"Theoretical mechanical engineering";""
+3;"2223";"2223";"Thermal turboengines";""
+3;"2224";"2224";"Thermodynamics (also: chemical)";""
+3;"2225";"2225";"Internal combustion engines";""
+3;"2226";"2226";"Heat engineering";""
+3;"2227";"2227";"Hydraulic engines and pumps";""
+3;"2228";"2228";"Materials testing";""
+3;"2229";"2229";"Pulp and paper technology";""
+3;"2230";"2230";"Heating engineering";""
+3;"2231";"2231";"Refrigeration engineering";""
+3;"2232";"2232";"Heat pumps";""
+3;"2233";"2233";"Apparatus construction";""
+3;"2234";"2234";"Robotics";""
+3;"2235";"2235";"Tunnel ventilation";""
+3;"2236";"2236";"Mechatronics";""
+3;"2237";"2237";"Tribology";""
+3;"2238";"2238";"Micromechanics (also: of materials)";""
+3;"2239";"2239";"Automotive technology";""
+3;"2240";"2240";"Forming technology (metal)";""
+3;"2241";"2241";"Fracture mechanics";""
+3;"2242";"2242";"Air conditioning technology";""
+2;"23";"23";"Civil Engineering";""
+3;"2301";"2301";"Railway construction";""
+3;"2302";"2302";"Survey of buildings";""
+3;"2303";"2303";"Construction management";""
+3;"2304";"2304";"Construction research";""
+3;"2305";"2305";"Building physics";""
+3;"2306";"2306";"Structural statics";""
+3;"2307";"2307";"Construction material practice";""
+3;"2308";"2308";"Building materials testing";""
+3;"2309";"2309";"Building trade";""
+3;"2310";"2310";"Soil mechanics";""
+3;"2311";"2311";"Bridge engineering";""
+3;"2312";"2312";"Geotechnics";""
+3;"2313";"2313";"Rock mechanics";""
+3;"2314";"2314";"Strength of materials";""
+3;"2315";"2315";"River engineering";""
+3;"2316";"2316";"Foundation engineering";""
+3;"2317";"2317";"Structural engineering";""
+3;"2318";"2318";"Timber construction";""
+3;"2319";"2319";"Hydraulics";""
+3;"2320";"2320";"Industrial construction";""
+3;"2321";"2321";"Constructional hydraulic engineering";""
+3;"2322";"2322";"Agricultural hydraulic engineering";""
+3;"2323";"2323";"Agricultural construction";""
+3;"2324";"2324";"Lightweight construction";""
+3;"2325";"2325";"Mechanical technology";""
+3;"2326";"2326";"Water and sanitary engineering";""
+3;"2327";"2327";"Steel construction";""
+3;"2328";"2328";"Reinforced concrete construction";""
+3;"2329";"2329";"Road construction";""
+3;"2330";"2330";"Civil engineering";""
+3;"2331";"2331";"Structural design";""
+3;"2332";"2332";"Hydro power plant construction";""
+3;"2333";"2333";"Torrent and avalanche restraining technology";""
+3;"2334";"2334";"Structural dynamics";""
+3;"2335";"2335";"Fire prevention, fire protection";""
+3;"2336";"2336";"Building ecology";""
+3;"2337";"2337";"Tunnelling";""
+3;"2338";"2338";"Old building restoration";""
+3;"2339";"2339";"Fracture mechanics";""
+3;"2340";"2340";"Noise protection, sound control";""
+3;"2341";"2341";"Tunnel ventilation";""
+3;"2342";"2342";"Aerodynamics";""
+3;"2343";"2343";"Constructional engineering";""
+3;"2344";"2344";"Underground mining";""
+3;"2345";"2345";"Soil bioengineering";""
+3;"2346";"2346";"Engineering geology";""
+2;"24";"24";"Architecture";""
+3;"2401";"2401";"Architectural design";""
+3;"2402";"2402";"Architecture";""
+3;"2403";"2403";"Architectural model building";""
+3;"2404";"2404";"Survey of buildings";""
+3;"2405";"2405";"Construction research";""
+3;"2406";"2406";"Building design";""
+3;"2407";"2407";"Structural statics";""
+3;"2408";"2408";"Bridge engineering";""
+3;"2409";"2409";"Preservation of monuments";""
+3;"2410";"2410";"Designing";""
+3;"2411";"2411";"Building typology";""
+3;"2412";"2412";"Structural engineering";""
+3;"2413";"2413";"Timber construction";""
+3;"2414";"2414";"Industrial construction";""
+3;"2415";"2415";"Interior decoration";""
+3;"2416";"2416";"Interior design";""
+3;"2417";"2417";"Lightweight construction";""
+3;"2418";"2418";"Spatial arts";""
+3;"2419";"2419";"Urban planning";""
+3;"2420";"2420";"Urban, village renovation";""
+3;"2421";"2421";"Steel construction";""
+3;"2422";"2422";"Reinforced concrete construction";""
+3;"2423";"2423";"Civil engineering";""
+3;"2424";"2424";"Structural design";""
+3;"2425";"2425";"Environmental planning";""
+3;"2426";"2426";"Residential building";""
+3;"2427";"2427";"Building ecology";""
+3;"2428";"2428";"Old building restoration";""
+3;"2429";"2429";"Spatial design";""
+3;"2430";"2430";"Solar architecture";""
+3;"2431";"2431";"Horticultural art";""
+3;"2432";"2432";"Architectural theory";""
+2;"25";"25";"Electrical Engineering, Electronics";""
+3;"2501";"2501";"General electronics";""
+3;"2502";"2502";"General electrical engineering";""
+3;"2503";"2503";"Computer hardware, ADVA";""
+3;"2504";"2504";"Electrical power systems (construction and operation)";""
+3;"2505";"2505";"Electrical drive engineering";""
+3;"2506";"2506";"Electrical lighting";""
+3;"2507";"2507";"Electrical energy";""
+3;"2508";"2508";"Electrical machines (construction and operation)";""
+3;"2509";"2509";"Automatic control engineering";""
+3;"2510";"2510";"Open loop control engineering";""
+3;"2511";"2511";"Electricity";""
+3;"2512";"2512";"Electrotechnical measurements";""
+3;"2513";"2513";"Electro- and biomedical technology";""
+3;"2514";"2514";"Energy technology";""
+3;"2515";"2515";"Telecommunications engineering";""
+3;"2516";"2516";"Geoelectrics";""
+3;"2517";"2517";"Semiconductor technology";""
+3;"2518";"2518";"High-frequency engineering";""
+3;"2519";"2519";"High-voltage engineering";""
+3;"2520";"2520";"Industrial electronics";""
+3;"2521";"2521";"Microelectronics";""
+3;"2522";"2522";"Communication engineering";""
+3;"2524";"2524";"Physical electronics";""
+3;"2525";"2525";"Radio engineering";""
+3;"2526";"2526";"Light-current engineering";""
+3;"2527";"2527";"Heavy-current engineering";""
+3;"2529";"2529";"Theoretical electrical engineering";""
+3;"2530";"2530";"Wave propagation";""
+3;"2531";"2531";"Laser technology";""
+3;"2532";"2532";"Optical communication engineering";""
+3;"2533";"2533";"Signal processing (analogous, digital)";""
+3;"2534";"2534";"Solar technology";""
+3;"2535";"2535";"Superconductivity";""
+3;"2536";"2536";"Computer networks";""
+3;"2537";"2537";"Electron beam technology";""
+3;"2539";"2539";"Laser spectroscopy";""
+3;"2540";"2540";"Robotics";""
+3;"2541";"2541";"Mechatronics";""
+3;"2542";"2542";"Photovoltaics";""
+3;"2543";"2543";"Integrated circuit design";""
+3;"2545";"2545";"Neuronal (neural) networks";""
+3;"2546";"2546";"Sensor technology";""
+3;"2547";"2547";"Telecommunications";""
+3;"2548";"2548";"IT security";""
+3;"2549";"2549";"Electromagnetism";""
+3;"2550";"2550";"Navigation";""
+3;"2551";"2551";"Microwave engineering";""
+3;"2552";"2552";"Radar engineering";""
+3;"2553";"2553";"Audio technology";""
+3;"2554";"2554";"Electromagnetic compatibility";""
+3;"2555";"2555";"Human-computer interaction";""
+3;"2556";"2556";"Power electronics";""
+3;"2557";"2557";"Embedded systems";""
+2;"26";"26";"Technical Chemistry, Fuel and Petroleum Engineering";""
+3;"2601";"2601";"Inorganic chemical technology";""
+3;"2602";"2602";"Fire prevention, fire protection";""
+3;"2603";"2603";"Biochemical technology";""
+3;"2604";"2604";"Fuel technology";""
+3;"2605";"2605";"Chemical technology";""
+3;"2606";"2606";"Polymer science";""
+3;"2607";"2607";"Plastics technology";""
+3;"2608";"2608";"Plastics processing";""
+3;"2609";"2609";"Petroleum technology";""
+3;"2610";"2610";"Organic chemical technology";""
+3;"2611";"2611";"Silicate chemistry";""
+3;"2612";"2612";"Technical chemistry";""
+3;"2613";"2613";"Materials testing";""
+3;"2614";"2614";"Pulp and paper technology";""
+3;"2615";"2615";"Explosives technology";""
+3;"2616";"2616";"Coating technology";""
+3;"2617";"2617";"Corrosion protection";""
+3;"2618";"2618";"Combustion technology";""
+3;"2619";"2619";"Thermodynamics (also: chemical)";""
+3;"2620";"2620";"Materials chemistry";""
+2;"27";"27";"Geodesy, Surveying";""
+3;"2701";"2701";"Geodetic surveying";""
+3;"2702";"2702";"Remote sensing";""
+3;"2703";"2703";"Geodesy";""
+3;"2704";"2704";"Cartography";""
+3;"2705";"2705";"Cadastral surveying";""
+3;"2706";"2706";"Land surveying";""
+3;"2707";"2707";"Photogrammetry";""
+3;"2708";"2708";"Topography";""
+3;"2709";"2709";"Surveying";""
+3;"2710";"2710";"Geodetic engineering";""
+3;"2711";"2711";"GPS (Global Positioning System)";""
+3;"2712";"2712";"3D-surveying";""
+2;"28";"28";"Traffic System, Traffic Planning";""
+3;"2801";"2801";"Railway engineering";""
+3;"2802";"2802";"Road construction";""
+3;"2803";"2803";"Road planning";""
+3;"2804";"2804";"Transport economics";""
+3;"2805";"2805";"Traffic planning, - security";""
+3;"2806";"2806";"Traffic engineering";""
+3;"2807";"2807";"Traffic system and transportation";""
+3;"2808";"2808";"Traffic economics";""
+3;"2809";"2809";"Accident research";""
+3;"2810";"2810";"Ropeways";""
+2;"29";"29";"Other and interdisciplinary Technical Sciences";""
+3;"2901";"2901";"Waste technology";""
+3;"2902";"2902";"General process engineering";""
+3;"2903";"2903";"Ergonomics";""
+3;"2904";"2904";"Industrial technology";""
+3;"2905";"2905";"Electron microscopy";""
+3;"2906";"2906";"Power industry";""
+3;"2907";"2907";"Gas chromatography";""
+3;"2908";"2908";"Graphical techniques";""
+3;"2909";"2909";"Aeronautical technology";""
+3;"2910";"2910";"Recycling";""
+3;"2911";"2911";"X-ray structure analysis";""
+3;"2912";"2912";"Technical documentation";""
+3;"2913";"2913";"Interdisciplinary technical sciences";""
+3;"2914";"2914";"Textile technology";""
+3;"2915";"2915";"Cryogenic research";""
+3;"2916";"2916";"Packaging";""
+3;"2917";"2917";"Business technology";""
+3;"2918";"2918";"Environmental technology";""
+3;"2919";"2919";"Energy research";""
+3;"2920";"2920";"Waste air purification";""
+3;"2921";"2921";"Biotechnology";""
+3;"2922";"2922";"Product design";""
+3;"2923";"2923";"Resource economics, - management";""
+3;"2924";"2924";"Pollutant deposition";""
+3;"2925";"2925";"Pollutant emission";""
+3;"2926";"2926";"Explosives technology";""
+3;"2927";"2927";"Technology assessment";""
+3;"2928";"2928";"Environmental economics";""
+3;"2929";"2929";"Civil defence and disaster control";""
+3;"2930";"2930";"Clean-up of contaminated sites";""
+3;"2931";"2931";"Archeometry";""
+3;"2932";"2932";"Automation";""
+3;"2933";"2933";"Dosimetry";""
+3;"2934";"2934";"Ergonomics";""
+3;"2935";"2935";"Subject didactics (technical sciences)";""
+3;"2936";"2936";"Quality control";""
+3;"2937";"2937";"Technical history";""
+3;"2938";"2938";"Disability issues, Handicapped research";""
+3;"2939";"2939";"Computer-aided simulation";""
+3;"2940";"2940";"Energy saving (Measures for)";""
+3;"2941";"2941";"Renewable energy (also energy sources, raw materials)";""
+3;"2942";"2942";"Manufacturing technology";""
+3;"2943";"2943";"Research and innovation management";""
+3;"2944";"2944";"Human ecology";""
+3;"2945";"2945";"Ecotech";""
+3;"2946";"2946";"Environmental protection";""
+3;"2947";"2947";"Information technology";""
+3;"2948";"2948";"Information society";""
+3;"2949";"2949";"Telecommunications";""
+3;"2950";"2950";"Risk research";""
+3;"2951";"2951";"Technology transfer";""
+3;"2952";"2952";"IT security";""
+3;"2953";"2953";"Data security and data privacy";""
+3;"2954";"2954";"Audiovisual media";""
+3;"2955";"2955";"Aerodynamics";""
+3;"2956";"2956";"Ecodesign";""
+3;"2957";"2957";"Air pollution control";""
+3;"2959";"2959";"Sustainable development, sustainable economics";""
+3;"2960";"2960";"Long-term ecological research";""
+3;"2961";"2961";"Failure analysis";""
+3;"2962";"2962";"Philosophy of technology";""
+3;"2963";"2963";"Sociology of technology";""
+3;"2964";"2964";"Textile chemistry, -physics";""
+3;"2965";"2965";"Knowledge management";""
+3;"2966";"2966";"History of technical sciences";""
+3;"2967";"2967";"Light technology";""
+3;"2968";"2968";"Nanotechnology";""
+3;"2969";"2969";"Waste management";""
+3;"2970";"2970";"Fermentation";""
+3;"2971";"2971";"Gender studies (technical sciences)";""
+3;"2972";"2972";"Usability research";""
+3;"2973";"2973";"Technical statistics";""
+1;"3";"3";"HUMAN MEDICINE";""
+2;"31";"31";"Anatomy, Pathology";""
+3;"3101";"3101";"General anatomy";""
+3;"3102";"3102";"General pathology";""
+3;"3103";"3103";"Cell biology (cytology)";""
+3;"3104";"3104";"Embryology";""
+3;"3105";"3105";"Experimental pathology";""
+3;"3106";"3106";"Functional pathology";""
+3;"3107";"3107";"Histology";""
+3;"3108";"3108";"Cancer research";""
+3;"3109";"3109";"Neuropathology";""
+3;"3110";"3110";"Oncology";""
+3;"3111";"3111";"Pathological anatomy";""
+3;"3112";"3112";"Psychopathology";""
+3;"3113";"3113";"X-ray anatomy";""
+3;"3114";"3114";"Systematic anatomy";""
+3;"3115";"3115";"Topographical anatomy";""
+3;"3116";"3116";"Diagnosis in medicine";""
+3;"3117";"3117";"Functional anatomy";""
+3;"3118";"3118";"Pathophysiology";""
+3;"3119";"3119";"Molecular pathology";""
+2;"32";"32";"Medical Chemistry, Medical Physics, Physiology";""
+3;"3201";"3201";"General physiology";""
+3;"3202";"3202";"Balneology";""
+3;"3203";"3203";"Biophysics";""
+3;"3204";"3204";"Electron microscopy";""
+3;"3205";"3205";"Electro- and biomedical technology";""
+3;"3206";"3206";"Human genetics";""
+3;"3207";"3207";"Cancer research";""
+3;"3208";"3208";"Medical biochemistry";""
+3;"3209";"3209";"Medical biology";""
+3;"3210";"3210";"Medical chemistry";""
+3;"3211";"3211";"Medical molecular biology";""
+3;"3212";"3212";"Medical physics";""
+3;"3213";"3213";"Medical physiology";""
+3;"3214";"3214";"Neurochemistry";""
+3;"3215";"3215";"Neurophysiology and sense physiology";""
+3;"3216";"3216";"Nuclear medicine";""
+3;"3217";"3217";"Radiology";""
+3;"3218";"3218";"Radiation biology";""
+3;"3219";"3219";"Radiation physics";""
+3;"3220";"3220";"Radiation protection";""
+3;"3221";"3221";"Radiation therapy";""
+3;"3222";"3222";"Comparative physiology";""
+3;"3223";"3223";"Cell biology (cytology)";""
+3;"3224";"3224";"Cytogenetics";""
+3;"3225";"3225";"Sonography";""
+3;"3226";"3226";"Biomechanics";""
+3;"3227";"3227";"Magnetic resonance tomography";""
+3;"3228";"3228";"Vaccine development";""
+3;"3229";"3229";"Vascular biology";""
+3;"3230";"3230";"Stem cell research";""
+3;"3231";"3231";"Radiation chemistry";""
+3;"3232";"3232";"Proteomics";""
+3;"3233";"3233";"Computed tomography";""
+3;"3234";"3234";"Genomics";""
+3;"3235";"3235";"Glycobiology";""
+3;"3236";"3236";"Lipidomics research";""
+2;"33";"33";"Pharmaceutics, Pharmacology, Toxicology";""
+3;"3301";"3301";"Homeopathy";""
+3;"3302";"3302";"Neuropharmacology";""
+3;"3303";"3303";"Pharmacodynamics";""
+3;"3304";"3304";"Pharmacognosy";""
+3;"3305";"3305";"Pharmacology";""
+3;"3306";"3306";"Pharmaceutical chemistry";""
+3;"3307";"3307";"Pharmaceutics";""
+3;"3308";"3308";"Psychopharmacology";""
+3;"3309";"3309";"Toxicology";""
+3;"3310";"3310";"Pharmaceutical technology";""
+3;"3311";"3311";"Phytochemistry";""
+3;"3312";"3312";"Pharmacokinetics";""
+3;"3313";"3313";"Pharmaceutical and drug analysis";""
+3;"3314";"3314";"Vaccine development";""
+3;"3315";"3315";"Natural product chemistry";""
+2;"34";"34";"Hygiene, Medical Microbiology";""
+3;"3401";"3401";"Allergy research";""
+3;"3402";"3402";"Occupational medicine";""
+3;"3403";"3403";"Bacteriology";""
+3;"3404";"3404";"Bacteriological-serological examinations";""
+3;"3405";"3405";"Occupational diseases";""
+3;"3406";"3406";"Blood group serology";""
+3;"3407";"3407";"Blood transfusion";""
+3;"3408";"3408";"Epidemiology";""
+3;"3409";"3409";"Haematology";""
+3;"3410";"3410";"Hygiene";""
+3;"3411";"3411";"Immunology";""
+3;"3412";"3412";"Cancer research";""
+3;"3413";"3413";"Food hygiene";""
+3;"3414";"3414";"Leukaemia research";""
+3;"3415";"3415";"Air hygiene";""
+3;"3416";"3416";"Medical microbiology";""
+3;"3417";"3417";"Parasitology";""
+3;"3418";"3418";"Preventive medicine";""
+3;"3419";"3419";"Rehabilitation research";""
+3;"3420";"3420";"Serology";""
+3;"3421";"3421";"Epidemic research";""
+3;"3423";"3423";"Social medicine";""
+3;"3424";"3424";"Specific prophylaxis (protection by vaccination)";""
+3;"3425";"3425";"Stress research";""
+3;"3426";"3426";"Tropical medicine";""
+3;"3427";"3427";"Environmental hygiene";""
+3;"3428";"3428";"Virology";""
+3;"3429";"3429";"Water hygiene";""
+3;"3430";"3430";"Neuro-, Psychoimmunology";""
+3;"3431";"3431";"Diagnosis in medicine";""
+3;"3432";"3432";"Vaccine development";""
+3;"3433";"3433";"HIV research";""
+3;"3434";"3434";"Hospital hygiene";""
+2;"35";"35";"Clinical Medicine (except Surgery and Psychiatry)";""
+3;"3501";"3501";"Acupuncture";""
+3;"3502";"3502";"Allergy research";""
+3;"3503";"3503";"General practice";""
+3;"3504";"3504";"Andrology";""
+3;"3505";"3505";"Ophthalmology";""
+3;"3506";"3506";"Balneology";""
+3;"3507";"3507";"Chemotherapy";""
+3;"3508";"3508";"Dermatology";""
+3;"3509";"3509";"Endocrinology";""
+3;"3510";"3510";"Gastroenterology";""
+3;"3511";"3511";"Obstetrics";""
+3;"3512";"3512";"Geriatrics";""
+3;"3513";"3513";"Gynaecology";""
+3;"3514";"3514";"Ear, nose and throat diseases";""
+3;"3515";"3515";"Skin and venereal diseases";""
+3;"3516";"3516";"Hepatology";""
+3;"3517";"3517";"Hearing, voice and speech disabilities";""
+3;"3518";"3518";"Internal medicine";""
+3;"3519";"3519";"Intensive care medicine";""
+3;"3520";"3520";"Cardiology";""
+3;"3521";"3521";"Oral surgery";""
+3;"3522";"3522";"Paediatrics";""
+3;"3523";"3523";"Circulatory diseases";""
+3;"3524";"3524";"Pulmonary medicine";""
+3;"3525";"3525";"Neonatology";""
+3;"3526";"3526";"Nephrology";""
+3;"3527";"3527";"Nuclear medicine";""
+3;"3528";"3528";"Orthopaedics";""
+3;"3529";"3529";"Perinatology";""
+3;"3530";"3530";"Radiodiagnostics";""
+3;"3531";"3531";"Radiology";""
+3;"3532";"3532";"Rehabilitation research";""
+3;"3533";"3533";"Rheumatology";""
+3;"3534";"3534";"Social medicine";""
+3;"3535";"3535";"Sports medicine";""
+3;"3536";"3536";"Metabolic diseases";""
+3;"3537";"3537";"Radiation protection";""
+3;"3538";"3538";"Radiation therapy";""
+3;"3539";"3539";"Syphilology";""
+3;"3540";"3540";"Urology";""
+3;"3541";"3541";"Venereology";""
+3;"3542";"3542";"Dentistry";""
+3;"3543";"3543";"Angiology";""
+3;"3544";"3544";"Clinical chemistry";""
+3;"3545";"3545";"Laboratory diagnostics";""
+3;"3546";"3546";"Physical medicine";""
+3;"3547";"3547";"Computer-aided diagnosis and therapy";""
+3;"3548";"3548";"Diabetology";""
+3;"3549";"3549";"Implantology";""
+3;"3550";"3550";"Sonography";""
+3;"3551";"3551";"Prenatal diagnostics";""
+3;"3552";"3552";"Diagnosis in medicine";""
+3;"3553";"3553";"Emergency medicine";""
+3;"3554";"3554";"Pain therapy";""
+3;"3555";"3555";"Transplantation medicine";""
+3;"3556";"3556";"Orthodontics";""
+3;"3557";"3557";"Palliative medicine";""
+3;"3558";"3558";"Multiple trauma care";""
+3;"3559";"3559";"Haematology";""
+3;"3560";"3560";"Oncology";""
+3;"3561";"3561";"Sleep medicine";""
+2;"36";"36";"Surgery and Anaesthesiology";""
+3;"3601";"3601";"Acupuncture";""
+3;"3602";"3602";"General surgery";""
+3;"3603";"3603";"Anaesthesiology";""
+3;"3604";"3604";"Blood transfusion";""
+3;"3605";"3605";"Experimental surgery";""
+3;"3606";"3606";"Intensive care medicine";""
+3;"3607";"3607";"Oral surgery";""
+3;"3608";"3608";"Paediatric surgery";""
+3;"3609";"3609";"Microsurgery";""
+3;"3610";"3610";"Neurosurgery";""
+3;"3611";"3611";"Nuclear medicine";""
+3;"3612";"3612";"Orthopaedics";""
+3;"3613";"3613";"Plastic and reconstructive surgery";""
+3;"3614";"3614";"Transplantation surgery";""
+3;"3615";"3615";"Accident surgery";""
+3;"3616";"3616";"Vascular surgery";""
+3;"3617";"3617";"Heart surgery";""
+3;"3618";"3618";"Thorax and hyperbaric surgery";""
+3;"3619";"3619";"Gastrointestinal surgery";""
+3;"3620";"3620";"Implantology";""
+3;"3621";"3621";"Laser surgery";""
+3;"3622";"3622";"Oncological surgery";""
+3;"3623";"3623";"Pain therapy";""
+3;"3624";"3624";"Emergency medicine";""
+3;"3625";"3625";"Navigation surgery";""
+3;"3626";"3626";"Multiple trauma care";""
+2;"37";"37";"Psychiatry and Neurology";""
+3;"3701";"3701";"Forensic psychiatry";""
+3;"3702";"3702";"Brain research";""
+3;"3703";"3703";"Hearing, voice and speech disabilities";""
+3;"3704";"3704";"Child and adolescent psychiatry";""
+3;"3705";"3705";"Clinical psychiatry";""
+3;"3706";"3706";"Medical psychology";""
+3;"3707";"3707";"Medical psychotherapy";""
+3;"3708";"3708";"Microsurgery";""
+3;"3709";"3709";"Neurosurgery";""
+3;"3710";"3710";"Neurology";""
+3;"3711";"3711";"Neuropathology";""
+3;"3712";"3712";"Neuropharmacology";""
+3;"3713";"3713";"Neurophysiology and sense physiology";""
+3;"3714";"3714";"Psychoanalysis";""
+3;"3715";"3715";"Psychopathology";""
+3;"3716";"3716";"Psychopharmacology";""
+3;"3717";"3717";"Psychosomatics";""
+3;"3718";"3718";"Rehabilitation research";""
+3;"3719";"3719";"Social psychiatry";""
+3;"3720";"3720";"Addiction research";""
+3;"3721";"3721";"Depth psychology";""
+3;"3722";"3722";"Behavioural therapy";""
+3;"3723";"3723";"Orthopaedagogy";""
+3;"3724";"3724";"Neuro-, Psychoimmunology";""
+3;"3725";"3725";"Diagnosis in medicine";""
+3;"3726";"3726";"Linguistics, clinical -, neuro -";""
+3;"3727";"3727";"Neuropsychology";""
+3;"3728";"3728";"Stress research";""
+3;"3729";"3729";"Clinical neurosciences";""
+2;"38";"38";"Forensic Medicine";""
+3;"3801";"3801";"Forensic psychiatry";""
+3;"3802";"3802";"Forensic human medicine";""
+3;"3803";"3803";"Forensic veterinary medicine";""
+3;"3804";"3804";"Forensic chemistry";""
+3;"3805";"3805";"DNA analysis (also: genetic fingerprinting)";""
+3;"3806";"3806";"Bloodstain pattern analysis";""
+3;"3807";"3807";"Forensic radiology";""
+2;"39";"39";"Other and interdisciplinary Human Medicine";""
+3;"3901";"3901";"Biostatistics";""
+3;"3902";"3902";"Electron microscopy";""
+3;"3903";"3903";"History of medicine";""
+3;"3904";"3904";"Homeopathy";""
+3;"3905";"3905";"Interdisciplinary human medicine";""
+3;"3906";"3906";"Medical computer sciences";""
+3;"3907";"3907";"Medical documentation";""
+3;"3908";"3908";"Medical cybernetics";""
+3;"3909";"3909";"Medical statistics";""
+3;"3910";"3910";"Traffic medicine";""
+3;"3911";"3911";"Economics of the health system";""
+3;"3912";"3912";"Computer-aided diagnosis and therapy";""
+3;"3913";"3913";"Genetic engineering, - technology";""
+3;"3914";"3914";"Gerontology";""
+3;"3915";"3915";"Medical sociology";""
+3;"3916";"3916";"Ergonomics";""
+3;"3917";"3917";"Nutritional sciences";""
+3;"3918";"3918";"Subject didactics (human medicine)";""
+3;"3919";"3919";"Hospital economics";""
+3;"3920";"3920";"Emergency medicine";""
+3;"3921";"3921";"Patient rights";""
+3;"3922";"3922";"Environmental medicine";""
+3;"3923";"3923";"Medical ethics";""
+3;"3924";"3924";"Bioinformatics";""
+3;"3925";"3925";"Health sciences";""
+3;"3926";"3926";"Hospital hygiene";""
+3;"3927";"3927";"Medical informatics";""
+3;"3928";"3928";"Nursing science";""
+3;"3929";"3929";"Biotechnology";""
+3;"3930";"3930";"Gender studies (human medicine)";""
+3;"3931";"3931";"Sport sciences";""
+3;"3932";"3932";"Replacement methods of animal experiments";""
+1;"4";"4";"AGRICULTURE & FORESTRY, VETERINARY MEDICINE";""
+2;"41";"41";"Agronomy, Plant Breeding, Plant Protection";""
+3;"4101";"4101";"Agronomy";""
+3;"4102";"4102";"Irrigated agriculture";""
+3;"4103";"4103";"Cereal cultivation, cereals";""
+3;"4104";"4104";"Agricultural-bacteriological examinations";""
+3;"4105";"4105";"Agricultural-chemical examinations";""
+3;"4106";"4106";"Agricultural machines and equipment";""
+3;"4107";"4107";"Food technology";""
+3;"4108";"4108";"Milling (flour)";""
+3;"4109";"4109";"Plant cultivation";""
+3;"4110";"4110";"Plant protection";""
+3;"4111";"4111";"Plant breeding";""
+3;"4112";"4112";"Seed growing";""
+3;"4113";"4113";"Seed cultivation and testing";""
+3;"4115";"4115";"Soil testing";""
+3;"4116";"4116";"Agroecology";""
+3;"4117";"4117";"Organic farming";""
+3;"4118";"4118";"Renewable energy (also energy sources, raw materials)";""
+3;"4119";"4119";"Regenerable raw materials";""
+3;"4120";"4120";"Plant nutrition and plant fertilization";""
+3;"4121";"4121";"Tropical and subtropical agriculture";""
+3;"4122";"4122";"Agricultural-virological examinations";""
+2;"42";"42";"Horticulture, Fruit Growing";""
+3;"4201";"4201";"Irrigated agriculture";""
+3;"4202";"4202";"Horticulture";""
+3;"4203";"4203";"Green area planning";""
+3;"4204";"4204";"Agricultural machines and equipment";""
+3;"4205";"4205";"Food technology";""
+3;"4206";"4206";"Fruit growing";""
+3;"4207";"4207";"Fruit tree protection";""
+3;"4208";"4208";"Special cultures";""
+3;"4209";"4209";"Experimental design for fruit growing";""
+3;"4210";"4210";"Viticulture";""
+3;"4211";"4211";"Soil testing";""
+3;"4212";"4212";"Organic farming";""
+3;"4213";"4213";"Vegetable growing";""
+3;"4214";"4214";"Horticultural art";""
+3;"4215";"4215";"Ornamental horticulture";""
+2;"43";"43";"Forestry and Timber";""
+3;"4301";"4301";"Forest entomology";""
+3;"4302";"4302";"Forest economics";""
+3;"4303";"4303";"Forest construction";""
+3;"4304";"4304";"Forest engineering";""
+3;"4305";"4305";"Forest ecology";""
+3;"4306";"4306";"Forest protection";""
+3;"4307";"4307";"Forest technology";""
+3;"4308";"4308";"Forest and timber trade policy";""
+3;"4309";"4309";"Forestry";""
+3;"4310";"4310";"Wood chemistry";""
+3;"4311";"4311";"Wood research";""
+3;"4312";"4312";"Wood preservation";""
+3;"4313";"4313";"Wood technology";""
+3;"4314";"4314";"Timber trade and industry";""
+3;"4315";"4315";"Silviculture";""
+3;"4316";"4316";"Pulp and paper technology";""
+3;"4317";"4317";"Soil testing";""
+3;"4318";"4318";"Regenerable raw materials";""
+3;"4319";"4319";"Forest pathology";""
+2;"44";"44";"Livestock Breeding, Animal Production";""
+3;"4401";"4401";"Apiculture";""
+3;"4402";"4402";"Fisheries economics";""
+3;"4403";"4403";"Ichthyology";""
+3;"4404";"4404";"Meat hygiene";""
+3;"4405";"4405";"Meat technology";""
+3;"4406";"4406";"Genetics of domesticated animals";""
+3;"4408";"4408";"Cheese-making";""
+3;"4409";"4409";"Artificial insemination";""
+3;"4410";"4410";"Food technology";""
+3;"4411";"4411";"Food analysis";""
+3;"4412";"4412";"Fattening and slaughter performance";""
+3;"4413";"4413";"Microbiology";""
+3;"4414";"4414";"Milk hygiene";""
+3;"4415";"4415";"Milk technology";""
+3;"4416";"4416";"Dairy farming";""
+3;"4417";"4417";"Pig testing";""
+3;"4418";"4418";"Animal nutrition";""
+3;"4419";"4419";"Animal production";""
+3;"4420";"4420";"Animal breeding";""
+3;"4421";"4421";"Laboratory animal research and breeding";""
+3;"4422";"4422";"Wildlife science";""
+3;"4423";"4423";"Feed analysis";""
+3;"4425";"4425";"Livestock ethology";""
+3;"4426";"4426";"Animal husbandry";""
+3;"4427";"4427";"Poultry medicine";""
+2;"45";"45";"Veterinary Medicine";""
+3;"4501";"4501";"Bacteriology (animals)";""
+3;"4502";"4502";"Electron microscopy";""
+3;"4503";"4503";"Forensic veterinary medicine";""
+3;"4504";"4504";"Hoof and claw research";""
+3;"4505";"4505";"Food analysis";""
+3;"4506";"4506";"Medical biochemistry (animals)";""
+3;"4507";"4507";"Medical chemistry (animals)";""
+3;"4508";"4508";"Medical physics (animals)";""
+3;"4509";"4509";"Animal anatomy";""
+3;"4510";"4510";"Veterinary ophthalmology";""
+3;"4511";"4511";"Veterinary surgery";""
+3;"4512";"4512";"Animal embryology";""
+3;"4513";"4513";"Animal nutrition";""
+3;"4514";"4514";"Veterinary obstetrics";""
+3;"4515";"4515";"Veterinary gynaecology";""
+3;"4516";"4516";"Animal histology";""
+3;"4517";"4517";"Animal hygiene";""
+3;"4518";"4518";"Veterinary orthopaedics";""
+3;"4519";"4519";"Animal parasitology";""
+3;"4520";"4520";"Animal pathology";""
+3;"4521";"4521";"Animal physiology";""
+3;"4522";"4522";"Veterinary radiology";""
+3;"4523";"4523";"Animal epidemic control";""
+3;"4524";"4524";"Virology (animals)";""
+3;"4525";"4525";"Wildlife science";""
+3;"4526";"4526";"Zoology";""
+3;"4527";"4527";"Pharmacology (animals)";""
+3;"4528";"4528";"Animal andrology";""
+3;"4529";"4529";"Veterinary emergency surgery";""
+3;"4530";"4530";"Veterinary dentistry";""
+3;"4531";"4531";"Toxicology (animals)";""
+3;"4532";"4532";"Veterinary anaesthesiology";""
+3;"4533";"4533";"Animal cytology";""
+3;"4534";"4534";"Animal internal medicine";""
+3;"4536";"4536";"Bird medicine, ornamental bird medicine";""
+3;"4537";"4537";"Veterinary immunology";""
+3;"4538";"4538";"Veterinary diagnostic laboratory";""
+3;"4539";"4539";"Animal neurology";""
+3;"4540";"4540";"Diagnosis in veterinary medicine";""
+3;"4541";"4541";"History of veterinary medicine";""
+3;"4542";"4542";"Phytotherapy (animals)";""
+2;"49";"49";"Other and interdisciplinary Agriculture and Forestry";""
+3;"4901";"4901";"ADP, EDP in Agriculture and forestry";""
+3;"4902";"4902";"Agricultural operations";""
+3;"4903";"4903";"Agricultural economics";""
+3;"4904";"4904";"Agricultural policy";""
+3;"4905";"4905";"Irrigated agriculture";""
+3;"4906";"4906";"Fermentation technology";""
+3;"4907";"4907";"Interdisciplinary agricultural and forestry science";""
+3;"4908";"4908";"Agricultural and forestry documentation";""
+3;"4909";"4909";"Farm management";""
+3;"4910";"4910";"Agricultural marketing";""
+3;"4911";"4911";"Agricultural machines and equipment";""
+3;"4912";"4912";"Agricultural construction";""
+3;"4913";"4913";"Food technology";""
+3;"4914";"4914";"Food analysis";""
+3;"4915";"4915";"Soil testing";""
+3;"4916";"4916";"Food economics";""
+3;"4917";"4917";"Biotechnology";""
+3;"4918";"4918";"Genetic engineering, - technology";""
+3;"4919";"4919";"Nutritional sciences";""
+3;"4920";"4920";"Subject didactics (agriculture, forestry and veterinary medicine)";""
+3;"4921";"4921";"Agroecology";""
+3;"4922";"4922";"Environmental protection";""
+3;"4923";"4923";"Agrometeorology";""
+3;"4924";"4924";"Sustainable development, sustainable economics";""
+3;"4925";"4925";"Fermentation";""
+3;"4926";"4926";"Population genetics";""
+1;"5";"5";"SOCIAL SCIENCES";""
+2;"51";"51";"Political Science";""
+3;"5101";"5101";"General political science";""
+3;"5102";"5102";"Foreign aid";""
+3;"5103";"5103";"Peace research";""
+3;"5104";"5104";"Critique of ideology";""
+3;"5105";"5105";"International relations";""
+3;"5106";"5106";"Philosophy of politics";""
+3;"5107";"5107";"Politics and public law";""
+3;"5108";"5108";"Political theory";""
+3;"5109";"5109";"Political systems";""
+3;"5111";"5111";"Legal and political philosophy";""
+3;"5112";"5112";"European law";""
+3;"5113";"5113";"Research law, -policy";""
+3;"5114";"5114";"Political education";""
+3;"5115";"5115";"European integration";""
+3;"5116";"5116";"Federalism research";""
+3;"5117";"5117";"Conflict research";""
+3;"5118";"5118";"Political science";""
+3;"5119";"5119";"Development policy";""
+3;"5120";"5120";"Policy analysis";""
+2;"52";"52";"Legal Sciences";""
+3;"5201";"5201";"Agricultural law";""
+3;"5202";"5202";"General procedure law";""
+3;"5203";"5203";"Labour law";""
+3;"5204";"5204";"Civil law (also: general part)";""
+3;"5205";"5205";"Energy law";""
+3;"5206";"5206";"Financial law";""
+3;"5207";"5207";"Cooperative law";""
+3;"5208";"5208";"Company law";""
+3;"5209";"5209";"Liability law";""
+3;"5210";"5210";"Business law";""
+3;"5211";"5211";"International relations";""
+3;"5212";"5212";"International civil law";""
+3;"5213";"5213";"Antitrust law";""
+3;"5214";"5214";"Canon law";""
+3;"5215";"5215";"Criminology";""
+3;"5216";"5216";"Rent law";""
+3;"5217";"5217";"Public law";""
+3;"5218";"5218";"Constitutional law (Austrian-, European-)";""
+3;"5219";"5219";"Austrian administrative law";""
+3;"5220";"5220";"Private law";""
+3;"5221";"5221";"Law documentation";""
+3;"5222";"5222";"Legal history";""
+3;"5223";"5223";"Philosophy of law";""
+3;"5224";"5224";"Comparative law";""
+3;"5225";"5225";"Roman law";""
+3;"5226";"5226";"Social law";""
+3;"5227";"5227";"Social security law";""
+3;"5228";"5228";"Constitutional law";""
+3;"5229";"5229";"Penal procedure law";""
+3;"5230";"5230";"Criminal law";""
+3;"5231";"5231";"Copyright and publication right";""
+3;"5232";"5232";"Traffic law";""
+3;"5233";"5233";"Insurance law";""
+3;"5234";"5234";"Administrative science";""
+3;"5235";"5235";"International law";""
+3;"5236";"5236";"Securities law";""
+3;"5237";"5237";"Commercial law";""
+3;"5238";"5238";"Civil procedure law";""
+3;"5239";"5239";"Civil law";""
+3;"5240";"5240";"European law";""
+3;"5241";"5241";"State church law";""
+3;"5242";"5242";"Environmental law";""
+3;"5243";"5243";"Women?s studies (Women?s issues)";""
+3;"5244";"5244";"Research law, -policy";""
+3;"5245";"5245";"Media law";""
+3;"5246";"5246";"Medical law";""
+3;"5247";"5247";"Human rights (also: protection of - )";""
+3;"5248";"5248";"Patient rights";""
+3;"5249";"5249";"Zoning law";""
+3;"5250";"5250";"Legal informatics";""
+3;"5251";"5251";"Theory of law";""
+3;"5252";"5252";"Basic and Human rights";""
+3;"5253";"5253";"Consumer law";""
+3;"5254";"5254";"Housing law";""
+3;"5255";"5255";"Data security and data privacy";""
+3;"5256";"5256";"Planning and building laws and regulations";""
+3;"5257";"5257";"Family law and law of inheritance";""
+3;"5258";"5258";"Federalism research";""
+3;"5259";"5259";"Law on registration and establishment of business associations";""
+3;"5260";"5260";"Information law";""
+3;"5261";"5261";"Comparative constitutional law (European -, international -)";""
+3;"5262";"5262";"Mediation";""
+3;"5263";"5263";"Law of things";""
+3;"5264";"5264";"Law of obligations";""
+3;"5265";"5265";"Theory of constitutional law";""
+3;"5266";"5266";"Constitutional law, general";""
+3;"5267";"5267";"Administrative law, general";""
+3;"5268";"5268";"Legal psychology";""
+3;"5269";"5269";"Sociology of law";""
+3;"5270";"5270";"Competition law";""
+3;"5271";"5271";"Patent law";""
+3;"5272";"5272";"Banking law";""
+3;"5273";"5273";"General political science";""
+3;"5274";"5274";"Capital market legislation";""
+2;"53";"53";"Economics";""
+3;"5301";"5301";"Distributive trades";""
+3;"5302";"5302";"Agricultural economics";""
+3;"5303";"5303";"Agricultural policy";""
+3;"5304";"5304";"Labour market research";""
+3;"5305";"5305";"Bank management";""
+3;"5306";"5306";"Business data processing";""
+3;"5307";"5307";"Business and management economics";""
+3;"5308";"5308";"Management sciences";""
+3;"5309";"5309";"Foreign aid";""
+3;"5310";"5310";"Manufacturing";""
+3;"5311";"5311";"Public finance";""
+3;"5312";"5312";"Tourism research";""
+3;"5313";"5313";"Cooperative systems";""
+3;"5314";"5314";"Trade Research";""
+3;"5315";"5315";"Commercial science";""
+3;"5316";"5316";"Industrial management";""
+3;"5317";"5317";"Industrial operations research";""
+3;"5318";"5318";"Farm management";""
+3;"5319";"5319";"Agricultural marketing";""
+3;"5320";"5320";"Marketing";""
+3;"5321";"5321";"Market research";""
+3;"5322";"5322";"National/Political economy";""
+3;"5323";"5323";"Econometrics";""
+3;"5324";"5324";"Organizational research";""
+3;"5325";"5325";"Political economics";""
+3;"5326";"5326";"Production research";""
+3;"5327";"5327";"Accounting";""
+3;"5328";"5328";"Auditing and trusts";""
+3;"5329";"5329";"Economics of location";""
+3;"5330";"5330";"Site selection";""
+3;"5331";"5331";"Structural policy";""
+3;"5332";"5332";"Transport economics";""
+3;"5333";"5333";"Business management";""
+3;"5334";"5334";"Political economic policy";""
+3;"5335";"5335";"Political economic theory";""
+3;"5336";"5336";"Commodity science";""
+3;"5337";"5337";"World trade science";""
+3;"5338";"5338";"Science of advertising";""
+3;"5339";"5339";"Economic analyses";""
+3;"5340";"5340";"Economic history";""
+3;"5341";"5341";"Economic policy";""
+3;"5343";"5343";"Economic theory";""
+3;"5344";"5344";"Foreign trade";""
+3;"5345";"5345";"Social economy";""
+3;"5346";"5346";"Economics of the health system";""
+3;"5347";"5347";"Operations research";""
+3;"5348";"5348";"Business education";""
+3;"5349";"5349";"Business taxation";""
+3;"5350";"5350";"Innovation research";""
+3;"5351";"5351";"Public economy";""
+3;"5352";"5352";"Human resource management, personnel management";""
+3;"5353";"5353";"Environmental economics";""
+3;"5354";"5354";"Business logistics";""
+3;"5355";"5355";"Computer integrated manufacturing (CIM)";""
+3;"5356";"5356";"Hospital economics";""
+3;"5357";"5357";"Management consulting";""
+3;"5358";"5358";"Corporate finances";""
+3;"5359";"5359";"Controlling";""
+3;"5360";"5360";"Financial mathematics";""
+3;"5361";"5361";"Financial management";""
+3;"5362";"5362";"Cultural economics";""
+3;"5363";"5363";"Non-profit-sector research (NPO, NPI)";""
+3;"5364";"5364";"Project management";""
+3;"5365";"5365";"Quality management";""
+3;"5366";"5366";"Information society";""
+3;"5367";"5367";"Management information systems";""
+3;"5368";"5368";"Sustainable development, sustainable economics";""
+3;"5369";"5369";"Environmental management";""
+3;"5370";"5370";"Industrial economics";""
+3;"5371";"5371";"Macroeconomics";""
+3;"5372";"5372";"Regulatory economics";""
+2;"54";"54";"Sociology";""
+3;"5401";"5401";"General social research";""
+3;"5402";"5402";"General sociology";""
+3;"5403";"5403";"Educational sociology";""
+3;"5404";"5404";"Demography";""
+3;"5405";"5405";"Empirical social research";""
+3;"5406";"5406";"Foreign aid";""
+3;"5407";"5407";"Ethics and social sciences";""
+3;"5408";"5408";"Peace research";""
+3;"5409";"5409";"Social research and church";""
+3;"5410";"5410";"Cultural science";""
+3;"5411";"5411";"Social philosophy";""
+3;"5412";"5412";"Sociography";""
+3;"5413";"5413";"Sociological methods";""
+3;"5414";"5414";"Special sociology";""
+3;"5415";"5415";"Economic sociology";""
+3;"5416";"5416";"Industrial sociology";""
+3;"5417";"5417";"Women?s studies, Women?s issues";""
+3;"5418";"5418";"Gerontology";""
+3;"5419";"5419";"Medical sociology";""
+3;"5420";"5420";"Music sociology";""
+3;"5421";"5421";"Aging research";""
+3;"5422";"5422";"Feminist issues";""
+3;"5423";"5423";"Child research, youth research";""
+3;"5424";"5424";"Pedagogical sociology";""
+3;"5425";"5425";"Environmental sociology";""
+3;"5426";"5426";"Information society";""
+3;"5427";"5427";"Poverty research, social exclusion";""
+3;"5428";"5428";"Migration research, emigration -";""
+3;"5429";"5429";"Genealogy";""
+3;"5430";"5430";"Sociology of law";""
+3;"5431";"5431";"Sociology of technology";""
+3;"5432";"5432";"Leisure time research";""
+3;"5433";"5433";"Gender studies";""
+3;"5434";"5434";"Sociology of religion";""
+3;"5435";"5435";"Addiction research";""
+2;"55";"55";"Psychology";""
+3;"5501";"5501";"General psychology";""
+3;"5502";"5502";"Occupational-, industrial psychology";""
+3;"5503";"5503";"Differential psychology";""
+3;"5504";"5504";"Experimental psychology";""
+3;"5505";"5505";"Child and adolescent psychology";""
+3;"5506";"5506";"Psychology of learning";""
+3;"5507";"5507";"Motivational psychology";""
+3;"5508";"5508";"Educational psychology";""
+3;"5509";"5509";"Psychological methodology";""
+3;"5510";"5510";"Psychotherapy";""
+3;"5511";"5511";"Social psychology";""
+3;"5512";"5512";"Depth psychology";""
+3;"5513";"5513";"Behavioural psychology";""
+3;"5514";"5514";"Traffic psychology";""
+3;"5515";"5515";"Psychology of perception";""
+3;"5516";"5516";"Clinical psychology";""
+3;"5517";"5517";"Organisational psychology";""
+3;"5518";"5518";"Parapsychology";""
+3;"5519";"5519";"Pastoral psychology";""
+3;"5520";"5520";"Disability issues, Handicapped research";""
+3;"5521";"5521";"Cognitive psychology";""
+3;"5522";"5522";"Psychophysiology";""
+3;"5523";"5523";"Legal psychology";""
+3;"5524";"5524";"Developmental psychology";""
+3;"5525";"5525";"Genealogy";""
+3;"5526";"5526";"Conflict research";""
+3;"5527";"5527";"Mediation";""
+3;"5528";"5528";"Sexology, sex education";""
+3;"5529";"5529";"Group dynamics";""
+3;"5530";"5530";"Psychoanalysis";""
+3;"5531";"5531";"Behavioural therapy";""
+3;"5532";"5532";"Applied psychology";""
+3;"5533";"5533";"Addiction research";""
+2;"56";"56";"Regional Planning";""
+3;"5601";"5601";"Zoning";""
+3;"5602";"5602";"Land use planning";""
+3;"5603";"5603";"Landscape preservation";""
+3;"5604";"5604";"Nature conservation (- research)";""
+3;"5605";"5605";"Regional planning";""
+3;"5606";"5606";"Spatial research";""
+3;"5607";"5607";"Spatial structure";""
+3;"5608";"5608";"Regional development planning";""
+3;"5609";"5609";"Urban planning";""
+3;"5610";"5610";"Urban development planning";""
+3;"5611";"5611";"Urban and regional analysis";""
+3;"5612";"5612";"Economics of location";""
+3;"5613";"5613";"Site selection";""
+3;"5614";"5614";"Environmental planning";""
+3;"5615";"5615";"Traffic planning, - security";""
+3;"5616";"5616";"Geographic Information Systems (GIS)";""
+3;"5617";"5617";"Landscape planning";""
+3;"5618";"5618";"Regional economy";""
+3;"5619";"5619";"Landscape ecology";""
+3;"5620";"5620";"Cultural landscape research";""
+3;"5621";"5621";"Landscape architecture";""
+2;"57";"57";"Applied Statistics, Social Statistics";""
+3;"5701";"5701";"Applied statistics";""
+3;"5702";"5702";"Population statistics";""
+3;"5703";"5703";"Demography";""
+3;"5704";"5704";"Social statistics";""
+3;"5705";"5705";"Statistical surveys";""
+3;"5706";"5706";"Economic statistics";""
+3;"5707";"5707";"Time series analysis";""
+2;"58";"58";"Pedagogy, Educational Sciences";""
+3;"5801";"5801";"General education";""
+3;"5802";"5802";"Applied pedagogy";""
+3;"5803";"5803";"Educational research";""
+3;"5804";"5804";"Educational economy";""
+3;"5805";"5805";"Educational planning";""
+3;"5806";"5806";"Educational sociology";""
+3;"5807";"5807";"Didactics";""
+3;"5808";"5808";"University didactics";""
+3;"5809";"5809";"Physical education";""
+3;"5810";"5810";"Psychology of learning";""
+3;"5811";"5811";"Motivational psychology";""
+3;"5812";"5812";"Educational psychology";""
+3;"5813";"5813";"School pedagogy";""
+3;"5814";"5814";"Sport sciences";""
+3;"5815";"5815";"Theoretical pedagogy";""
+3;"5816";"5816";"Education science";""
+3;"5817";"5817";"Comparative educational science";""
+3;"5818";"5818";"Business education";""
+3;"5819";"5819";"Vocational pedagogy";""
+3;"5820";"5820";"In-company education and training";""
+3;"5821";"5821";"Adult education";""
+3;"5822";"5822";"Media pedagogy";""
+3;"5823";"5823";"Social pedagogy";""
+3;"5824";"5824";"Orthopaedagogy";""
+3;"5825";"5825";"Breathing and vocal training";""
+3;"5826";"5826";"Leisure/recreation pedagogy";""
+3;"5827";"5827";"Museum didactics";""
+3;"5828";"5828";"Subject didactics (natural sciences)";""
+3;"5829";"5829";"Subject didactics (technical sciences)";""
+3;"5830";"5830";"Subject didactics (human medicine)";""
+3;"5831";"5831";"Subject didactics (agriculture, forestry and veterinary medicine)";""
+3;"5832";"5832";"Subject didactics (social sciences)";""
+3;"5833";"5833";"Subject didactics (humanities)";""
+3;"5834";"5834";"Disability issues, Handicapped research";""
+3;"5835";"5835";"Pedagogical sociology";""
+3;"5836";"5836";"School mathematics (didactics)";""
+3;"5837";"5837";"Group dynamics";""
+3;"5838";"5838";"E-learning, telelearning";""
+3;"5839";"5839";"Exercise sciences";""
+3;"5840";"5840";"Music education";""
+3;"5841";"5841";"Gifted and talented education research";""
+3;"5842";"5842";"Political education";""
+2;"59";"59";"Other and interdisciplinary Social Sciences";""
+3;"5901";"5901";"General social research";""
+3;"5902";"5902";"Labour market research";""
+3;"5903";"5903";"Labour market policy";""
+3;"5904";"5904";"Ergonomics";""
+3;"5905";"5905";"Career guidance";""
+3;"5906";"5906";"Educational economy";""
+3;"5907";"5907";"Foreign aid";""
+3;"5908";"5908";"Cultural geography";""
+3;"5909";"5909";"Regional geography";""
+3;"5910";"5910";"Military strategic research";""
+3;"5911";"5911";"Social policy";""
+3;"5912";"5912";"Social sciences (interdisciplinary)";""
+3;"5913";"5913";"Sociological documentation";""
+3;"5914";"5914";"Environmental research";""
+3;"5915";"5915";"Economic geography";""
+3;"5916";"5916";"Vocational instruction";""
+3;"5917";"5917";"Communication science";""
+3;"5918";"5918";"Media research, -studies";""
+3;"5919";"5919";"Operations research";""
+3;"5920";"5920";"Journalism";""
+3;"5921";"5921";"Social geography";""
+3;"5922";"5922";"Systems analysis";""
+3;"5923";"5923";"Technology assessment";""
+3;"5924";"5924";"Environmental economics";""
+3;"5925";"5925";"Civil defence and disaster control";""
+3;"5926";"5926";"Subject didactics (social sciences)";""
+3;"5927";"5927";"Ethnography";""
+3;"5928";"5928";"Ethnology";""
+3;"5929";"5929";"Ethnosociology";""
+3;"5930";"5930";"Cultural anthropology";""
+3;"5932";"5932";"European ethnology";""
+3;"5933";"5933";"Aging research";""
+3;"5934";"5934";"Disability issues, Handicapped research";""
+3;"5935";"5935";"Women?s studies, Women?s issues";""
+3;"5936";"5936";"Research and innovation management";""
+3;"5937";"5937";"Information systems";""
+3;"5938";"5938";"Child research, youth research";""
+3;"5939";"5939";"Environmental protection";""
+3;"5940";"5940";"Ethnic group research";""
+3;"5941";"5941";"Information society";""
+3;"5942";"5942";"European integration";""
+3;"5943";"5943";"Risk research";""
+3;"5944";"5944";"Technology transfer";""
+3;"5945";"5945";"Organisational development";""
+3;"5946";"5946";"Cooperation between science and economics";""
+3;"5947";"5947";"Minorities research";""
+3;"5948";"5948";"Actions research";""
+3;"5949";"5949";"Audiovisual media";""
+3;"5950";"5950";"Ecodesign";""
+3;"5951";"5951";"E-government";""
+3;"5952";"5952";"Migration research, emigration -,";""
+3;"5953";"5953";"Game theory";""
+3;"5954";"5954";"Knowledge management";""
+3;"5955";"5955";"Futurology, interdisciplinary";""
+3;"5956";"5956";"Leisure time research";""
+3;"5957";"5957";"Gender studies (soical sciences)";""
+3;"5958";"5958";"History of social sciences";""
+3;"5959";"5959";"Accident research";""
+3;"5960";"5960";"Game research";""
+3;"5961";"5961";"Population geography";""
+3;"5962";"5962";"Development cooperation";""
+3;"5963";"5963";"Evaluation research";""
+3;"5964";"5964";"Scientific research";""
+3;"5965";"5965";"Graffiti research";""
+3;"5966";"5966";"Journalism";""
+1;"6";"6";"HUMANITIES";""
+2;"61";"61";"Philosophy";""
+3;"6101";"6101";"General philosophy";""
+3;"6102";"6102";"Epistemology";""
+3;"6103";"6103";"Ethics";""
+3;"6104";"6104";"Philosophy of history";""
+3;"6105";"6105";"Logic";""
+3;"6106";"6106";"Metaphysics";""
+3;"6107";"6107";"Natural philosophy";""
+3;"6108";"6108";"Philosophical social studies";""
+3;"6109";"6109";"Philosophical sociology";""
+3;"6110";"6110";"Legal and political philosophy";""
+3;"6111";"6111";"Theory of science";""
+3;"6112";"6112";"Philosophy of language";""
+3;"6113";"6113";"Aesthetics";""
+3;"6114";"6114";"Philosophical anthropology";""
+3;"6115";"6115";"Philosophy of religion";""
+3;"6116";"6116";"Hermeneutics";""
+3;"6117";"6117";"Medical ethics";""
+3;"6118";"6118";"Philosophy of technology";""
+3;"6119";"6119";"Social philosophy";""
+3;"6120";"6120";"History of science";""
+3;"6121";"6121";"Bioethics";""
+3;"6122";"6122";"Cultural philosophy";""
+3;"6123";"6123";"Business ethics";""
+2;"64";"64";"Theology";""
+3;"6401";"6401";"Bible studies (Old Testament)";""
+3;"6402";"6402";"Studies in atheism";""
+3;"6403";"6403";"Christian archaeology";""
+3;"6404";"6404";"Christian philosophy";""
+3;"6405";"6405";"Dogmatic theology";""
+3;"6406";"6406";"Fundamental theology";""
+3;"6407";"6407";"Catechetics";""
+3;"6408";"6408";"Church history";""
+3;"6409";"6409";"Canon law";""
+3;"6410";"6410";"Liturgics";""
+3;"6411";"6411";"Moral theology";""
+3;"6412";"6412";"Bible studies (New Testament)";""
+3;"6413";"6413";"Ecumenical theology";""
+3;"6414";"6414";"Pastoral theology";""
+3;"6415";"6415";"Patrology";""
+3;"6416";"6416";"Pedagogy of religion";""
+3;"6417";"6417";"Religious science";""
+3;"6418";"6418";"Theological anthropology";""
+3;"6419";"6419";"Christian social doctrine";""
+3;"6420";"6420";"Pastoral psychology";""
+3;"6421";"6421";"Philosophy of religion";""
+3;"6422";"6422";"Exegesis";""
+3;"6423";"6423";"Feminist issues";""
+3;"6424";"6424";"History of religion";""
+3;"6425";"6425";"Spiritual theology";""
+3;"6426";"6426";"Homiletics";""
+3;"6427";"6427";"Sociology of religion";""
+3;"6428";"6428";"Pastoral care";""
+2;"65";"65";"Historical Sciences";""
+3;"6501";"6501";"Ancient history";""
+3;"6502";"6502";"Classical studies";""
+3;"6503";"6503";"Numismatics";""
+3;"6504";"6504";"Archive studies";""
+3;"6505";"6505";"Early history";""
+3;"6506";"6506";"History of the Austro-Hungarian Monarchy";""
+3;"6507";"6507";"Historical regional studies";""
+3;"6508";"6508";"Science of history";""
+3;"6509";"6509";"Historical auxiliary sciences";""
+3;"6510";"6510";"Classical archaeology";""
+3;"6511";"6511";"Medieval history";""
+3;"6512";"6512";"Museology";""
+3;"6513";"6513";"Modern history";""
+3;"6514";"6514";"Austrian history";""
+3;"6515";"6515";"East European history";""
+3;"6516";"6516";"Source studies, source edition";""
+3;"6517";"6517";"Legal history";""
+3;"6518";"6518";"Social history";""
+3;"6519";"6519";"Southeast European history";""
+3;"6520";"6520";"Prehistory";""
+3;"6521";"6521";"Economic history";""
+3;"6522";"6522";"Contemporary history";""
+3;"6523";"6523";"Archaeology";""
+3;"6524";"6524";"Regional history";""
+3;"6525";"6525";"Urban history";""
+3;"6526";"6526";"History of science";""
+3;"6527";"6527";"Cultural history";""
+3;"6528";"6528";"Papyrology";""
+3;"6529";"6529";"Epigraphic";""
+3;"6530";"6530";"Feminist issues";""
+3;"6532";"6532";"Minorities research";""
+3;"6533";"6533";"History of music";""
+3;"6534";"6534";"History of humanities";""
+3;"6535";"6535";"History of natural sciences";""
+3;"6536";"6536";"History of social sciences";""
+3;"6537";"6537";"History of technical sciences";""
+3;"6538";"6538";"History of veterinary medicine";""
+3;"6539";"6539";"Palaeography, codicology";""
+2;"66";"66";"Linguistics and Literature";""
+3;"6601";"6601";"General literature studies";""
+3;"6602";"6602";"General language studies";""
+3;"6603";"6603";"American studies";""
+3;"6604";"6604";"Applied linguistics";""
+3;"6605";"6605";"English language and literature";""
+3;"6606";"6606";"Diachronic linguistics";""
+3;"6607";"6607";"Interpreting, translating education";""
+3;"6608";"6608";"German studies";""
+3;"6609";"6609";"Indo-European linguistics";""
+3;"6610";"6610";"Classical philology";""
+3;"6611";"6611";"Linguistics";""
+3;"6612";"6612";"Dialectology";""
+3;"6613";"6613";"Onomastics";""
+3;"6614";"6614";"Scandinavian studies";""
+3;"6615";"6615";"Romance studies";""
+3;"6616";"6616";"Slavonic studies";""
+3;"6617";"6617";"Literature studies (also: comparative -)";""
+3;"6618";"6618";"Language studies (also: comparative -)";""
+3;"6619";"6619";"Lexicography";""
+3;"6620";"6620";"History of literature";""
+3;"6621";"6621";"Medieval Latin philology";""
+3;"6622";"6622";"Psycholinguistics";""
+3;"6623";"6623";"Sociolinguistics";""
+3;"6624";"6624";"Language instruction research";""
+3;"6625";"6625";"Technical language studies";""
+3;"6626";"6626";"Hermeneutics";""
+3;"6628";"6628";"Celtology";""
+3;"6629";"6629";"Terminology";""
+3;"6630";"6630";"Sign language research";""
+3;"6631";"6631";"Translation and interpreting studies";""
+3;"6632";"6632";"Australian studies";""
+3;"6633";"6633";"Computational linguistics";""
+3;"6634";"6634";"Cognitive linguistics";""
+3;"6635";"6635";"Electronic voice processing";""
+3;"6636";"6636";"Semiotics";""
+3;"6637";"6637";"Phonetics";""
+3;"6638";"6638";"Greek studies";""
+3;"6639";"6639";"Latinistics";""
+3;"6640";"6640";"Finno-Ugrian languages";""
+3;"6641";"6641";"Neo-Latin philology";""
+3;"6642";"6642";"Phonology";""
+3;"6643";"6643";"Synchronic linguistics";""
+3;"6644";"6644";"Dutch studies";""
+2;"67";"67";"Other Philological and Cultural Sciences";""
+3;"6701";"6701";"African studies";""
+3;"6702";"6702";"Egyptology";""
+3;"6704";"6704";"Ancient Semitic studies";""
+3;"6705";"6705";"Arabic studies";""
+3;"6706";"6706";"Buddhology";""
+3;"6707";"6707";"Byzantine studies";""
+3;"6709";"6709";"Indology";""
+3;"6710";"6710";"Islamic studies";""
+3;"6711";"6711";"Japanology";""
+3;"6712";"6712";"Judaism";""
+3;"6713";"6713";"Orientalism";""
+3;"6714";"6714";"Sinology";""
+3;"6715";"6715";"Tibetology";""
+3;"6716";"6716";"Turcology";""
+3;"6717";"6717";"Papyrology";""
+3;"6718";"6718";"Epigraphic";""
+3;"6719";"6719";"Iranian studies";""
+3;"6720";"6720";"History of religion";""
+3;"6721";"6721";"Cultural science";""
+3;"6723";"6723";"Palaeography, codicology";""
+3;"6724";"6724";"Phonetics";""
+3;"6725";"6725";"Coptology";""
+2;"68";"68";"Arts";""
+3;"6801";"6801";"Applied arts";""
+3;"6802";"6802";"Fine arts";""
+3;"6803";"6803";"Performing arts";""
+3;"6804";"6804";"Preservation of monuments";""
+3;"6805";"6805";"Industrial design";""
+3;"6806";"6806";"Classical archaeology";""
+3;"6807";"6807";"Art education";""
+3;"6808";"6808";"Art history";""
+3;"6809";"6809";"Museology";""
+3;"6810";"6810";"Music";""
+3;"6811";"6811";"Music education";""
+3;"6812";"6812";"Musicology";""
+3;"6813";"6813";"Restoration, Conservation";""
+3;"6814";"6814";"Theatre studies";""
+3;"6815";"6815";"Product design";""
+3;"6816";"6816";"Breathing and vocal training";""
+3;"6817";"6817";"Music sociology";""
+3;"6818";"6818";"Folk music studies";""
+3;"6819";"6819";"Cultural economics";""
+3;"6820";"6820";"Film studies";""
+3;"6821";"6821";"History of music";""
+3;"6822";"6822";"Singing";""
+3;"6823";"6823";"Jazz studies";""
+3;"6824";"6824";"Church music";""
+3;"6825";"6825";"Popular music studies";""
+3;"6826";"6826";"Ethnomusicology";""
+3;"6827";"6827";"Music theory";""
+3;"6828";"6828";"Architectural design";""
+3;"6829";"6829";"Stage design";""
+3;"6830";"6830";"Design";""
+3;"6831";"6831";"Art theory";""
+3;"6832";"6832";"Media arts";""
+3;"6833";"6833";"Scenography";""
+3;"6834";"6834";"Performance practice";""
+3;"6835";"6835";"Dance science";""
+2;"69";"69";"Other and interdisciplinary Humanities";""
+3;"6901";"6901";"Library science";""
+3;"6902";"6902";"Documentation (humanities)";""
+3;"6903";"6903";"Humanities (interdisciplinary)";""
+3;"6904";"6904";"Communication science";""
+3;"6905";"6905";"Media research, -studies";""
+3;"6906";"6906";"Public research";""
+3;"6907";"6907";"Journalism";""
+3;"6908";"6908";"Subject didactics (humanities)";""
+3;"6909";"6909";"Cultural economics";""
+3;"6910";"6910";"Rhetoric";""
+3;"6911";"6911";"History of humanities";""
+3;"6912";"6912";"Gender studies (humanities)";""
+3;"6913";"6913";"Graffiti research";""
+3;"6914";"6914";"Journalism";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_DE_CTI_20171007_030438.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_DE_CTI_20171007_030438.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cb6886d5aca90305957d715603d29807390b0362
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_DE_CTI_20171007_030438.txt
@@ -0,0 +1,1420 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURWISSENSCHAFTEN";""
+2;"101";"101";"Mathematik";""
+3;"1010";"1010";"Mathematik";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Angewandte Geometrie";""
+4;"101004";"101004";"Biomathematik";""
+4;"101005";"101005";"Computeralgebra";""
+4;"101006";"101006";"Differentialgeometrie";""
+4;"101007";"101007";"Finanzmathematik";""
+4;"101008";"101008";"Funktionentheorie";""
+4;"101009";"101009";"Geometrie";""
+4;"101010";"101010";"Geschichte der Mathematik";""
+4;"101011";"101011";"Graphentheorie";""
+4;"101012";"101012";"Kombinatorik";""
+4;"101013";"101013";"Mathematische Logik";""
+4;"101014";"101014";"Numerische Mathematik";""
+4;"101015";"101015";"Operations Research";""
+4;"101016";"101016";"Optimierung";""
+4;"101017";"101017";"Spieltheorie";""
+4;"101018";"101018";"Statistik";""
+4;"101019";"101019";"Stochastik";""
+4;"101020";"101020";"Technische Mathematik";""
+4;"101021";"101021";"Theoretische Kybernetik";""
+4;"101022";"101022";"Topologie";""
+4;"101023";"101023";"Versicherungsmathematik";""
+4;"101024";"101024";"Wahrscheinlichkeitstheorie";""
+4;"101025";"101025";"Zahlentheorie";""
+4;"101026";"101026";"Zeitreihenanalyse";""
+4;"101027";"101027";"Dynamische Systeme";""
+4;"101028";"101028";"Mathematische Modellierung";""
+4;"101029";"101029";"Mathematische Statistik";""
+4;"101030";"101030";"Zuverl�ssigkeitstheorie";""
+4;"101031";"101031";"Approximationstheorie";""
+4;"101032";"101032";"Funktionalanalysis";""
+2;"102";"102";"Informatik";""
+3;"1020";"1020";"Informatik";""
+4;"102001";"102001";"Artificial Intelligence";""
+4;"102002";"102002";"Augmented Reality";""
+4;"102003";"102003";"Bildverarbeitung";""
+4;"102004";"102004";"Bioinformatik";""
+4;"102005";"102005";"Computer Aided Design (CAD)";""
+4;"102006";"102006";"Computer Supported Cooperative Work (CSCW)";""
+4;"102007";"102007";"Computeranimation";""
+4;"102008";"102008";"Computergraphik";""
+4;"102009";"102009";"Computersimulation";""
+4;"102010";"102010";"Datenbanksysteme";""
+4;"102011";"102011";"Formale Sprachen";""
+4;"102012";"102012";"Geschichte der Informatik";""
+4;"102013";"102013";"Human-Computer Interaction";""
+4;"102014";"102014";"Informationsdesign";""
+4;"102015";"102015";"Informationssysteme";""
+4;"102016";"102016";"IT-Sicherheit";""
+4;"102017";"102017";"Kryptologie";""
+4;"102018";"102018";"K�nstliche Neuronale Netze";""
+4;"102019";"102019";"Machine Learning";""
+4;"102020";"102020";"Medizinische Informatik";""
+4;"102021";"102021";"Pervasive Computing";""
+4;"102022";"102022";"Softwareentwicklung";""
+4;"102023";"102023";"Supercomputing";""
+4;"102024";"102024";"Usability Research";""
+4;"102025";"102025";"Verteilte Systeme";""
+4;"102026";"102026";"Virtual Reality";""
+4;"102027";"102027";"Web Engineering";""
+4;"102028";"102028";"Knowledge Engineering";""
+4;"102029";"102029";"Praktische Informatik";""
+4;"102030";"102030";"Semantische Technologien";""
+4;"102031";"102031";"Theoretische Informatik";""
+4;"102032";"102032";"Computational Intelligence";""
+4;"102033";"102033";"Data Mining";""
+2;"103";"103";"Physik, Astronomie";""
+3;"1030";"1030";"Physik, Astronomie";""
+4;"103001";"103001";"Aerodynamik";""
+4;"103002";"103002";"Akustik";""
+4;"103003";"103003";"Astronomie";""
+4;"103004";"103004";"Astrophysik";""
+4;"103005";"103005";"Atomphysik";""
+4;"103006";"103006";"Chemische Physik";""
+4;"103007";"103007";"Dosimetrie";""
+4;"103008";"103008";"Experimentalphysik";""
+4;"103009";"103009";"Festk�rperphysik";""
+4;"103010";"103010";"Geschichte der Physik";""
+4;"103011";"103011";"Halbleiterphysik";""
+4;"103012";"103012";"Hochenergiephysik";""
+4;"103013";"103013";"Ionenphysik";""
+4;"103014";"103014";"Kernphysik";""
+4;"103015";"103015";"Kondensierte Materie";""
+4;"103016";"103016";"Laserphysik";""
+4;"103017";"103017";"Magnetismus";""
+4;"103018";"103018";"Materialphysik";""
+4;"103019";"103019";"Mathematische Physik";""
+4;"103020";"103020";"Oberfl�chenphysik";""
+4;"103021";"103021";"Optik";""
+4;"103022";"103022";"Plasmaphysik";""
+4;"103023";"103023";"Polymerphysik";""
+4;"103024";"103024";"Quantenfeldtheorie";""
+4;"103025";"103025";"Quantenmechanik";""
+4;"103026";"103026";"Quantenoptik";""
+4;"103027";"103027";"Reaktorphysik";""
+4;"103028";"103028";"Relativit�tstheorie";""
+4;"103029";"103029";"Statistische Physik";""
+4;"103030";"103030";"Strahlenphysik";""
+4;"103031";"103031";"Strahlenschutz";""
+4;"103032";"103032";"Str�mungslehre";""
+4;"103033";"103033";"Supraleitung";""
+4;"103034";"103034";"Teilchenphysik";""
+4;"103035";"103035";"Theoretische Mechanik";""
+4;"103036";"103036";"Theoretische Physik";""
+4;"103037";"103037";"Umweltphysik";""
+4;"103038";"103038";"Weltraumforschung";""
+4;"103039";"103039";"Aerosolphysik";""
+4;"103040";"103040";"Photonik";""
+4;"103041";"103041";"Astroteilchenphysik";""
+4;"103042";"103042";"Elektronenmikroskopie";""
+2;"104";"104";"Chemie";""
+3;"1040";"1040";"Chemie";""
+4;"104001";"104001";"Allgemeine Chemie";""
+4;"104002";"104002";"Analytische Chemie";""
+4;"104003";"104003";"Anorganische Chemie";""
+4;"104004";"104004";"Chemische Biologie";""
+4;"104005";"104005";"Elektrochemie";""
+4;"104006";"104006";"Festk�rperchemie";""
+4;"104007";"104007";"Geschichte der Chemie";""
+4;"104008";"104008";"Katalyse";""
+4;"104009";"104009";"Lebensmittelchemie";""
+4;"104010";"104010";"Makromolekulare Chemie";""
+4;"104011";"104011";"Materialchemie";""
+4;"104012";"104012";"Mikroanalyse";""
+4;"104013";"104013";"Naturstoffchemie";""
+4;"104014";"104014";"Oberfl�chenchemie";""
+4;"104015";"104015";"Organische Chemie";""
+4;"104016";"104016";"Photochemie";""
+4;"104017";"104017";"Physikalische Chemie";""
+4;"104018";"104018";"Polymerchemie";""
+4;"104019";"104019";"Polymerwissenschaften";""
+4;"104020";"104020";"Radiochemie";""
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+4;"104022";"104022";"Theoretische Chemie";""
+4;"104023";"104023";"Umweltchemie";""
+4;"104024";"104024";"R�ntgenstrukturanalyse";""
+4;"104025";"104025";"Single-Molecule Chemistry";""
+4;"104026";"104026";"Spektroskopie";""
+2;"105";"105";"Geowissenschaften";""
+3;"1051";"1051";"Geologie, Mineralogie";""
+4;"105101";"105101";"Allgemeine Geologie";""
+4;"105102";"105102";"Allgemeine Geophysik";""
+4;"105103";"105103";"Erd�lgeologie";""
+4;"105104";"105104";"Erosion";""
+4;"105105";"105105";"Geochemie";""
+4;"105106";"105106";"Geodynamik";""
+4;"105107";"105107";"Geoelektrik";""
+4;"105108";"105108";"Geostatistik";""
+4;"105109";"105109";"Geothermik";""
+4;"105110";"105110";"Geschichte der Geologie";""
+4;"105111";"105111";"Gravimetrie";""
+4;"105112";"105112";"Historische Geologie";""
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+4;"105118";"105118";"Pal�ontologie";""
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+4;"105122";"105122";"Seismik";""
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+3;"1052";"1052";"Meteorologie, Klimatologie";""
+4;"105201";"105201";"Aeronomie";""
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+4;"105203";"105203";"Bioklimatologie";""
+4;"105204";"105204";"Klimatologie";""
+4;"105205";"105205";"Klimawandel";""
+4;"105206";"105206";"Meteorologie";""
+4;"105207";"105207";"Gebirgsmeteorologie";""
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+3;"1053";"1053";"Hydrologie";""
+4;"105301";"105301";"Gew�sserschutz";""
+4;"105302";"105302";"Hydrochemie";""
+4;"105303";"105303";"Hydrogeologie";""
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+4;"105307";"105307";"Wasserg�te";""
+4;"105308";"105308";"Wasserressourcen";""
+3;"1054";"1054";"Physische Geographie";""
+4;"105401";"105401";"Biogeographie";""
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+4;"105403";"105403";"Geoinformatik";""
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+4;"105406";"105406";"Geschichte der Geographie";""
+4;"105407";"105407";"Kartographie";""
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+3;"1059";"1059";"Sonstige und interdisziplin�re Geowissenschaften";""
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+4;"105905";"105905";"Umweltschutz";""
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+4;"105907";"105907";"Polarforschung";""
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+4;"106001";"106001";"Allgemeine Biologie";""
+4;"106002";"106002";"Biochemie";""
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+4;"106004";"106004";"Bioethik";""
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+4;"106006";"106006";"Biophysik";""
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+4;"106008";"106008";"Botanik";""
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+4;"106011";"106011";"Ersatzmethoden zu Tierversuchen";""
+4;"106012";"106012";"Evolutionsforschung";""
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+4;"106016";"106016";"Geschichte der Biologie";""
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+4;"106018";"106018";"Humanbiologie";""
+4;"106019";"106019";"Hydrobiologie";""
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+4;"106021";"106021";"Meeresbiologie";""
+4;"106022";"106022";"Mikrobiologie";""
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+4;"106024";"106024";"Mykologie";""
+4;"106025";"106025";"Neurobiologie";""
+4;"106026";"106026";"�kosystemforschung";""
+4;"106027";"106027";"�kotoxikologie";""
+4;"106028";"106028";"Pflanzenanatomie";""
+4;"106029";"106029";"Pflanzenmorphologie";""
+4;"106030";"106030";"Pflanzen�kologie";""
+4;"106031";"106031";"Pflanzenphysiologie";""
+4;"106032";"106032";"Photobiologie";""
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+4;"106034";"106034";"Phytochemie";""
+4;"106035";"106035";"Phytogeographie";""
+4;"106036";"106036";"Populationsgenetik";""
+4;"106037";"106037";"Proteomik";""
+4;"106038";"106038";"Reproduktionsbiologie";""
+4;"106039";"106039";"Stammzellenforschung";""
+4;"106040";"106040";"Strahlenbiologie";""
+4;"106041";"106041";"Strukturbiologie";""
+4;"106042";"106042";"Systematische Botanik";""
+4;"106043";"106043";"Systematische Zoologie";""
+4;"106044";"106044";"Systembiologie";""
+4;"106045";"106045";"Theoretische Biologie";""
+4;"106046";"106046";"Tieranatomie";""
+4;"106047";"106047";"Tier�kologie";""
+4;"106048";"106048";"Tierphysiologie";""
+4;"106049";"106049";"Ultrastrukturforschung";""
+4;"106050";"106050";"Vegetationskunde";""
+4;"106051";"106051";"Verhaltensbiologie";""
+4;"106052";"106052";"Zellbiologie";""
+4;"106053";"106053";"Zoogeographie";""
+4;"106054";"106054";"Zoologie";""
+4;"106055";"106055";"Aerobiologie";""
+4;"106056";"106056";"Biologische Anthropologie";""
+4;"106057";"106057";"Metabolomik";""
+2;"107";"107";"Andere Naturwissenschaften";""
+3;"1070";"1070";"Andere Naturwissenschaften";""
+4;"107001";"107001";"Arch�ometrie";""
+4;"107002";"107002";"Bionik";""
+4;"107003";"107003";"Geschichte der Naturwissenschaften";""
+4;"107004";"107004";"Human�kologie";""
+4;"107005";"107005";"Lebensmitteluntersuchung";""
+4;"107006";"107006";"Naturschutz";""
+4;"107007";"107007";"Risikoforschung";""
+1;"2";"2";"TECHNISCHE WISSENSCHAFTEN";""
+2;"201";"201";"Bauwesen";""
+3;"2011";"2011";"Bauingenieurwesen";""
+4;"201101";"201101";"Baubetrieb";""
+4;"201102";"201102";"Baudynamik";""
+4;"201103";"201103";"Bauphysik";""
+4;"201104";"201104";"Baustatik";""
+4;"201105";"201105";"Baustofflehre";""
+4;"201106";"201106";"Bautechnik";""
+4;"201107";"201107";"Betriebsfestigkeit";""
+4;"201108";"201108";"Bruchmechanik";""
+4;"201109";"201109";"Br�ckenbau";""
+4;"201110";"201110";"Festigkeitslehre";""
+4;"201111";"201111";"Flussbau";""
+4;"201112";"201112";"Hochbau";""
+4;"201113";"201113";"Holzbau";""
+4;"201114";"201114";"Industriebau";""
+4;"201115";"201115";"Konstruktiver Wasserbau";""
+4;"201116";"201116";"Landwirtschaftliches Bauwesen";""
+4;"201117";"201117";"Leichtbau";""
+4;"201118";"201118";"Siedlungswasserbau";""
+4;"201119";"201119";"Stahlbau";""
+4;"201120";"201120";"Stahlbetonbau";""
+4;"201121";"201121";"Stra�enbau";""
+4;"201122";"201122";"Technischer Hochwasserschutz";""
+4;"201123";"201123";"Tiefbau";""
+4;"201124";"201124";"Tragwerkslehre";""
+4;"201125";"201125";"Wasserbau";""
+4;"201126";"201126";"Wasserkraftanlagenbau";""
+4;"201127";"201127";"Wildbach- und Lawinenverbauung";""
+4;"201128";"201128";"Nachhaltiges Bauen";""
+4;"201129";"201129";"Erdbebeningenieurwesen";""
+4;"201130";"201130";"Konstruktiver Glasbau";""
+3;"2012";"2012";"Architektur";""
+4;"201201";"201201";"Architekturgeschichte";""
+4;"201202";"201202";"Architekturmodellbau";""
+4;"201203";"201203";"Architekturtheorie";""
+4;"201204";"201204";"Barrierefreies Bauen";""
+4;"201205";"201205";"Bauforschung";""
+4;"201206";"201206";"Entwerfen";""
+4;"201207";"201207";"Geb�udelehre";""
+4;"201208";"201208";"Industriearchitektur";""
+4;"201209";"201209";"Innenarchitektur";""
+4;"201210";"201210";"Landschaftsarchitektur";""
+4;"201211";"201211";"Solararchitektur";""
+4;"201212";"201212";"St�dtebau";""
+4;"201213";"201213";"Wohnbau";""
+4;"201214";"201214";"Experimentelle Architektur";""
+4;"201215";"201215";"Baukulturelles Erbe";""
+3;"2013";"2013";"Verkehrswesen";""
+4;"201301";"201301";"Bahnbau";""
+4;"201302";"201302";"Eisenbahnwesen";""
+4;"201303";"201303";"Seilbahnwesen";""
+4;"201304";"201304";"Stra�enbau";""
+4;"201305";"201305";"Verkehrstechnik";""
+4;"201306";"201306";"Verkehrstelematik";""
+4;"201307";"201307";"Verkehrswirtschaft";""
+3;"2019";"2019";"Sonstiges Bauwesen";""
+4;"201901";"201901";"Altbausanierung";""
+4;"201902";"201902";"Bau�kologie";""
+4;"201903";"201903";"Ingenieurbiologie";""
+4;"201904";"201904";"Vegetationstechnik";""
+4;"201905";"201905";"Bauen im Bestand";""
+4;"201906";"201906";"Bauwerksbegr�nung";""
+2;"202";"202";"Elektrotechnik, Elektronik, Informationstechnik";""
+3;"2020";"2020";"Elektrotechnik, Elektronik, Informationstechnik";""
+4;"202001";"202001";"Audiotechnik";""
+4;"202002";"202002";"Audiovisuelle Medien";""
+4;"202003";"202003";"Automatisierungstechnik";""
+4;"202004";"202004";"Brain-Computer Interface";""
+4;"202005";"202005";"Computer Architektur";""
+4;"202006";"202006";"Computer Hardware";""
+4;"202007";"202007";"Computer Integrated Manufacturing (CIM)";""
+4;"202008";"202008";"Elektrische Anlagen";""
+4;"202009";"202009";"Elektrische Antriebstechnik";""
+4;"202010";"202010";"Elektrische Energietechnik";""
+4;"202011";"202011";"Elektrische Maschinen";""
+4;"202012";"202012";"Elektrische Messtechnik";""
+4;"202013";"202013";"Elektromagnetische Vertr�glichkeit";""
+4;"202014";"202014";"Elektromagnetismus";""
+4;"202015";"202015";"Elektronik";""
+4;"202016";"202016";"Elektrotechnik";""
+4;"202017";"202017";"Embedded Systems";""
+4;"202018";"202018";"Halbleiterelektronik";""
+4;"202019";"202019";"Hochfrequenztechnik";""
+4;"202020";"202020";"Hochspannungstechnik";""
+4;"202021";"202021";"Industrielle Elektronik";""
+4;"202022";"202022";"Informationstechnik";""
+4;"202023";"202023";"Integrierte Schaltkreise";""
+4;"202024";"202024";"Lasertechnik";""
+4;"202025";"202025";"Leistungselektronik";""
+4;"202026";"202026";"Lichttechnik";""
+4;"202027";"202027";"Mechatronik";""
+4;"202028";"202028";"Mikroelektronik";""
+4;"202029";"202029";"Mikrowellentechnik";""
+4;"202030";"202030";"Nachrichtentechnik";""
+4;"202031";"202031";"Netzwerktechnik";""
+4;"202032";"202032";"Photovoltaik";""
+4;"202033";"202033";"Radartechnik";""
+4;"202034";"202034";"Regelungstechnik";""
+4;"202035";"202035";"Robotik";""
+4;"202036";"202036";"Sensorik";""
+4;"202037";"202037";"Signalverarbeitung";""
+4;"202038";"202038";"Telekommunikation";""
+4;"202039";"202039";"Theoretische Elektrotechnik";""
+4;"202040";"202040";"�bertragungstechnik";""
+4;"202041";"202041";"Technische Informatik";""
+4;"202042";"202042";"Optische Nachrichtentechnik";""
+2;"203";"203";"Maschinenbau";""
+3;"2030";"2030";"Maschinenbau";""
+4;"203001";"203001";"Apparatebau";""
+4;"203002";"203002";"Betriebsfestigkeit";""
+4;"203003";"203003";"Bruchmechanik";""
+4;"203004";"203004";"Fahrzeugtechnik";""
+4;"203005";"203005";"Feinwerktechnik";""
+4;"203006";"203006";"Fertigungstechnik";""
+4;"203007";"203007";"Festigkeitslehre";""
+4;"203008";"203008";"F�rdertechnik";""
+4;"203009";"203009";"K�ltetechnik";""
+4;"203010";"203010";"Klimatechnik";""
+4;"203011";"203011";"Leichtbau";""
+4;"203012";"203012";"Luftfahrttechnik";""
+4;"203013";"203013";"Maschinenbau";""
+4;"203014";"203014";"Maschinendynamik";""
+4;"203015";"203015";"Mechatronik";""
+4;"203016";"203016";"Messtechnik";""
+4;"203017";"203017";"Mikromechanik";""
+4;"203018";"203018";"Montanmaschinenbau";""
+4;"203019";"203019";"Reaktortechnik";""
+4;"203020";"203020";"Schwei�technik";""
+4;"203021";"203021";"Str�mungsmaschinen";""
+4;"203022";"203022";"Technische Mechanik";""
+4;"203023";"203023";"Thermische Turbomaschinen";""
+4;"203024";"203024";"Thermodynamik";""
+4;"203025";"203025";"Tribologie";""
+4;"203026";"203026";"Umformtechnik";""
+4;"203027";"203027";"Verbrennungskraftmaschinen";""
+4;"203028";"203028";"W�rmetechnik";""
+4;"203029";"203029";"Werkzeugbau";""
+4;"203030";"203030";"Brennstoffzellentechnik";""
+4;"203031";"203031";"Konstruktionslehre";""
+4;"203032";"203032";"Generative Fertigungsverfahren";""
+4;"203033";"203033";"Hydraulische Antriebstechnik";""
+4;"203034";"203034";"Kontinuumsmechanik";""
+4;"203035";"203035";"Thermoprozesstechnik";""
+4;"203036";"203036";"Waffen- und Munitionstechnik";""
+2;"204";"204";"Chemische Verfahrenstechnik";""
+3;"2040";"2040";"Chemische Verfahrenstechnik";""
+4;"204001";"204001";"Anorganisch-chemische Technologie";""
+4;"204002";"204002";"Chemische Reaktionstechnik";""
+4;"204003";"204003";"Chemische Verfahrenstechnik";""
+4;"204004";"204004";"Organisch-chemische Technologie";""
+4;"204005";"204005";"Raffinerietechnik";""
+4;"204006";"204006";"Mechanische Verfahrenstechnik";""
+4;"204007";"204007";"Thermische Verfahrenstechnik";""
+2;"205";"205";"Werkstofftechnik";""
+3;"2050";"2050";"Werkstofftechnik";""
+4;"205001";"205001";"Baustoffpr�fung";""
+4;"205002";"205002";"Beschichtungstechnik";""
+4;"205003";"205003";"Feuerfeste Materialien";""
+4;"205004";"205004";"Funktionsmaterialien";""
+4;"205005";"205005";"Gesteinsh�ttenkunde";""
+4;"205006";"205006";"Holzforschung";""
+4;"205007";"205007";"Holzschutzmittel";""
+4;"205008";"205008";"Holztechnologie";""
+4;"205009";"205009";"Keramische Werkstoffe";""
+4;"205010";"205010";"Korrosionsschutzmittel";""
+4;"205011";"205011";"Kunststofftechnik";""
+4;"205012";"205012";"Kunststoffverarbeitung";""
+4;"205013";"205013";"Schadensanalytik";""
+4;"205014";"205014";"Textiltechnik";""
+4;"205015";"205015";"Verbundwerkstoffe";""
+4;"205016";"205016";"Werkstoffpr�fung";""
+4;"205017";"205017";"Werkstofftechnik";""
+4;"205018";"205018";"Zellstoff- und Papiertechnik";""
+4;"205019";"205019";"Materialwissenschaften";""
+2;"206";"206";"Medizintechnik";""
+3;"2060";"2060";"Medizintechnik";""
+4;"206001";"206001";"Biomedizinische Technik";""
+4;"206002";"206002";"Elektromedizinische Technik";""
+4;"206003";"206003";"Medizinische Physik";""
+4;"206004";"206004";"Medizintechnik";""
+4;"206005";"206005";"Prothetik";""
+4;"206006";"206006";"Rehabilitationstechnik";""
+2;"207";"207";"Umweltingenieurwesen, Angewandte Geowissenschaften";""
+3;"2071";"2071";"Umwelttechnik";""
+4;"207101";"207101";"Abfalltechnik";""
+4;"207102";"207102";"Abluftreinigung";""
+4;"207103";"207103";"Abwasserreinigung";""
+4;"207104";"207104";"Altlastensanierung";""
+4;"207105";"207105";"Deponietechnik";""
+4;"207106";"207106";"Erneuerbare Energie";""
+4;"207107";"207107";"Luftreinhaltung";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Schadstoffemission";""
+4;"207110";"207110";"Technischer Umweltschutz";""
+4;"207111";"207111";"Umwelttechnik";""
+4;"207112";"207112";"Wasseraufbereitung";""
+4;"207113";"207113";"Wasserinfrastruktur";""
+4;"207114";"207114";"Wasserwirtschaft";""
+3;"2072";"2072";"Ingenieurgeologie, Geotechnik";""
+4;"207201";"207201";"Bodenmechanik";""
+4;"207202";"207202";"Erdbau";""
+4;"207203";"207203";"Felsmechanik";""
+4;"207204";"207204";"Geotechnik";""
+4;"207205";"207205";"Grundbau";""
+4;"207206";"207206";"Ingenieurgeologie";""
+4;"207207";"207207";"Tunnelbau";""
+4;"207208";"207208";"Tunnelbel�ftung";""
+3;"2073";"2073";"Bergbau, Erd�lgewinnung";""
+4;"207301";"207301";"Aufbereitung mineralischer Rohstoffe";""
+4;"207302";"207302";"Bergbaukunde";""
+4;"207303";"207303";"Bergschadenkunde";""
+4;"207304";"207304";"Erdgasgewinnung";""
+4;"207305";"207305";"Erdgastechnik";""
+4;"207306";"207306";"Erd�lgeologie";""
+4;"207307";"207307";"Erd�lgewinnung";""
+4;"207308";"207308";"Erd�ltechnik";""
+4;"207309";"207309";"Geschichte des Bergbaus";""
+4;"207310";"207310";"Gewinnung mineralischer Rohstoffe";""
+4;"207311";"207311";"Lagerst�ttenkunde";""
+4;"207312";"207312";"Markscheidekunde";""
+4;"207313";"207313";"Tiefbohrtechnik";""
+4;"207314";"207314";"Untertagebau";""
+3;"2074";"2074";"Geod�sie, Vermessungswesen";""
+4;"207401";"207401";"3D-Vermessung";""
+4;"207402";"207402";"Fernerkundung";""
+4;"207403";"207403";"Geod�sie";""
+4;"207404";"207404";"Geoinformatik";""
+4;"207405";"207405";"Ingenieurgeod�sie";""
+4;"207406";"207406";"Kartographie";""
+4;"207407";"207407";"Katastervermessung";""
+4;"207408";"207408";"Landesvermessung";""
+4;"207409";"207409";"Navigationssysteme";""
+4;"207410";"207410";"Photogrammetrie";""
+4;"207411";"207411";"Satellitengeod�sie";""
+4;"207412";"207412";"Satellitengest�tzte Koordinatenmessung";""
+4;"207413";"207413";"Vermessungswesen";""
+3;"2079";"2079";"Sonstiges Umweltingenieurwesen, Angewandte Geowissenschaften";""
+4;"207901";"207901";"Offshore-Technik";""
+2;"208";"208";"Umweltbiotechnologie";""
+3;"2080";"2080";"Umweltbiotechnologie";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Ethik in der Umweltbiotechnologie";""
+4;"208003";"208003";"Umweltbiotechnologie";""
+2;"209";"209";"Industrielle Biotechnologie";""
+3;"2090";"2090";"Industrielle Biotechnologie";""
+4;"209001";"209001";"Biokatalyse";""
+4;"209002";"209002";"Bioprozesstechnik";""
+4;"209003";"209003";"Biotreibstoffe";""
+4;"209004";"209004";"Enzymtechnologie";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrielle Biotechnologie";""
+2;"210";"210";"Nanotechnologie";""
+3;"2100";"2100";"Nanotechnologie";""
+4;"210001";"210001";"Nanoanalytik";""
+4;"210002";"210002";"Nanobiotechnologie";""
+4;"210003";"210003";"Nanoelektronik";""
+4;"210004";"210004";"Nanomaterialien";""
+4;"210005";"210005";"Nanophotonik";""
+4;"210006";"210006";"Nanotechnologie";""
+2;"211";"211";"Andere Technische Wissenschaften";""
+3;"2111";"2111";"Metallurgie";""
+4;"211101";"211101";"Eisen- und Stahlmetallurgie";""
+4;"211102";"211102";"Gie�ereitechnik";""
+4;"211103";"211103";"Metallkunde";""
+4;"211104";"211104";"Metallurgie";""
+4;"211105";"211105";"Nichteisenmetallurgie";""
+4;"211106";"211106";"Leichtmetalle";""
+4;"211107";"211107";"Sekund�rmetallurgie";""
+3;"2112";"2112";"Lebensmitteltechnologie";""
+4;"211201";"211201";"Getreidetechnologie";""
+4;"211202";"211202";"Lebensmitteltechnologie";""
+4;"211203";"211203";"Lebensmittelverfahrenstechnik";""
+4;"211204";"211204";"Fleischtechnologie";""
+3;"2119";"2119";"Sonstige Technische Wissenschaften";""
+4;"211901";"211901";"Abfallvermeidung";""
+4;"211902";"211902";"Assistierende Technologien";""
+4;"211903";"211903";"Betriebswissenschaften";""
+4;"211904";"211904";"Biomechanik";""
+4;"211905";"211905";"Bionik";""
+4;"211906";"211906";"Brandschutz";""
+4;"211907";"211907";"Energieeinsparung";""
+4;"211908";"211908";"Energieforschung";""
+4;"211909";"211909";"Energietechnik";""
+4;"211910";"211910";"L�rmschutz";""
+4;"211911";"211911";"Nachhaltige Technologien";""
+4;"211912";"211912";"Produktgestaltung";""
+4;"211913";"211913";"Qualit�tssicherung";""
+4;"211914";"211914";"Risikoforschung";""
+4;"211915";"211915";"Solartechnik";""
+4;"211916";"211916";"Sprengtechnik";""
+4;"211917";"211917";"Technikfolgenabsch�tzung";""
+4;"211918";"211918";"Technikgeschichte";""
+4;"211919";"211919";"Thermographie";""
+4;"211920";"211920";"Verpackungstechnik";""
+4;"211921";"211921";"Zivil- und Katastrophenschutz";""
+4;"211922";"211922";"Energiespeicherung";""
+4;"211923";"211923";"Fabrikplanung";""
+4;"211924";"211924";"Prozess- und Anlagensicherheit";""
+1;"3";"3";"HUMANMEDIZIN, GESUNDHEITSWISSENSCHAFTEN";""
+2;"301";"301";"Medizinisch-theoretische Wissenschaften, Pharmazie";""
+3;"3011";"3011";"Anatomie, Pathologie, Physiologie";""
+4;"301101";"301101";"Allgemeine Pathologie";""
+4;"301102";"301102";"Anatomie";""
+4;"301103";"301103";"Diagnostik in der Medizin";""
+4;"301104";"301104";"Embryologie";""
+4;"301105";"301105";"Experimentelle Pathologie";""
+4;"301106";"301106";"Funktionelle Anatomie";""
+4;"301107";"301107";"Histologie";""
+4;"301108";"301108";"Molekulare Pathologie";""
+4;"301109";"301109";"Pathophysiologie";""
+4;"301110";"301110";"Physiologie";""
+4;"301111";"301111";"R�ntgenanatomie";""
+4;"301112";"301112";"Systematische Anatomie";""
+4;"301113";"301113";"Topographische Anatomie";""
+4;"301114";"301114";"Zellbiologie";""
+3;"3012";"3012";"Pharmazie, Pharmakologie, Toxikologie";""
+4;"301201";"301201";"Arzneimittel-, Arzneistoffanalyse";""
+4;"301202";"301202";"Geschichte der Pharmazie";""
+4;"301203";"301203";"Pharmakodynamik";""
+4;"301204";"301204";"Pharmakognosie";""
+4;"301205";"301205";"Pharmakokinetik";""
+4;"301206";"301206";"Pharmakologie";""
+4;"301207";"301207";"Pharmazeutische Chemie";""
+4;"301208";"301208";"Pharmazeutische Technologie";""
+4;"301209";"301209";"Pharmazie";""
+4;"301210";"301210";"Psychopharmakologie";""
+4;"301211";"301211";"Toxikologie";""
+4;"301212";"301212";"Klinische Pharmazie";""
+4;"301213";"301213";"Drug Targeting";""
+3;"3013";"3013";"Medizinische Biochemie, Humangenetik";""
+4;"301301";"301301";"Humangenetik";""
+4;"301302";"301302";"Lipidforschung";""
+4;"301303";"301303";"Medizinische Biochemie";""
+4;"301304";"301304";"Medizinische Biologie";""
+4;"301305";"301305";"Medizinische Chemie";""
+4;"301306";"301306";"Medizinische Molekularbiologie";""
+4;"301307";"301307";"Zytogenetik";""
+3;"3014";"3014";"Neurowissenschaften";""
+4;"301401";"301401";"Hirnforschung";""
+4;"301402";"301402";"Neurobiologie";""
+4;"301403";"301403";"Neurochemie";""
+4;"301404";"301404";"Neuroimmunologie";""
+4;"301405";"301405";"Neuropathologie";""
+4;"301406";"301406";"Neuropharmakologie";""
+4;"301407";"301407";"Neurophysiologie";""
+4;"301408";"301408";"Psychophysiologie";""
+4;"301409";"301409";"Neuroanatomie";""
+3;"3019";"3019";"Sonstige Medizinisch-theoretische Wissenschaften";""
+4;"301901";"301901";"Blutgruppenserologie";""
+4;"301902";"301902";"Immunologie";""
+4;"301903";"301903";"Impfstoffentwicklung";""
+4;"301904";"301904";"Krebsforschung";""
+4;"301905";"301905";"Psychoneuroimmunologie";""
+4;"301906";"301906";"Serologie";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Klinische Medizin";""
+3;"3020";"3020";"Klinische Medizin";""
+4;"302001";"302001";"Akupunktur";""
+4;"302002";"302002";"Allergologie";""
+4;"302003";"302003";"Allgemeinchirurgie";""
+4;"302004";"302004";"An�sthesiologie";""
+4;"302005";"302005";"Andrologie";""
+4;"302006";"302006";"Angiologie";""
+4;"302007";"302007";"Augenheilkunde";""
+4;"302008";"302008";"Balneologie";""
+4;"302009";"302009";"Chemotherapie";""
+4;"302010";"302010";"Computertomographie (CT)";""
+4;"302011";"302011";"Dermatologie";""
+4;"302012";"302012";"Diabetologie";""
+4;"302013";"302013";"Diagnostik in der Medizin";""
+4;"302014";"302014";"Endokrinologie";""
+4;"302015";"302015";"Experimentelle Chirurgie";""
+4;"302016";"302016";"Gastroenterologie";""
+4;"302017";"302017";"Geburtshilfe";""
+4;"302018";"302018";"Gef��chirurgie";""
+4;"302019";"302019";"Geriatrie";""
+4;"302020";"302020";"Gerontologie";""
+4;"302021";"302021";"Geschichte der Psychiatrie";""
+4;"302022";"302022";"Gyn�kologie";""
+4;"302023";"302023";"Hals-, Nasen-, Ohrenheilkunde";""
+4;"302024";"302024";"H�matologie";""
+4;"302025";"302025";"Hepatologie";""
+4;"302026";"302026";"Herzchirurgie";""
+4;"302027";"302027";"H�r-, Stimm- und Sprachst�rungen";""
+4;"302028";"302028";"Hyperbare Medizin";""
+4;"302029";"302029";"Implantologie";""
+4;"302030";"302030";"Innere Medizin";""
+4;"302031";"302031";"Intensivmedizin";""
+4;"302032";"302032";"Kardiologie";""
+4;"302033";"302033";"Kieferchirurgie";""
+4;"302034";"302034";"Kieferorthop�die";""
+4;"302035";"302035";"Kinder- und Jugendheilkunde";""
+4;"302036";"302036";"Kinder- und Jugendpsychiatrie";""
+4;"302037";"302037";"Kinderchirurgie";""
+4;"302038";"302038";"Klinische Neuropsychologie";""
+4;"302039";"302039";"Komplement�rmedizin";""
+4;"302040";"302040";"Labordiagnostik";""
+4;"302041";"302041";"Laserchirurgie";""
+4;"302042";"302042";"Logop�die";""
+4;"302043";"302043";"Magnetresonanztomographie (MRT)";""
+4;"302044";"302044";"Medizinische Physik";""
+4;"302045";"302045";"Medizinische Psychologie";""
+4;"302046";"302046";"Medizinische Psychotherapie";""
+4;"302047";"302047";"Mikrochirurgie";""
+4;"302048";"302048";"Minimal-invasive Chirurgie";""
+4;"302049";"302049";"Neonatologie";""
+4;"302050";"302050";"Nephrologie";""
+4;"302051";"302051";"Neurochirurgie";""
+4;"302052";"302052";"Neurologie";""
+4;"302053";"302053";"Notfallmedizin";""
+4;"302054";"302054";"Nuklearmedizin";""
+4;"302055";"302055";"Onkologie";""
+4;"302056";"302056";"Onkologische Chirurgie";""
+4;"302057";"302057";"Orthop�die";""
+4;"302058";"302058";"Palliativmedizin";""
+4;"302059";"302059";"Parodontologie";""
+4;"302060";"302060";"Perinatologie";""
+4;"302061";"302061";"Physikalische Medizin";""
+4;"302062";"302062";"Plastische und Rekonstruktive Chirurgie";""
+4;"302063";"302063";"Polytraumaversorgung";""
+4;"302064";"302064";"Pr�natale Diagnostik";""
+4;"302065";"302065";"Psychiatrie";""
+4;"302066";"302066";"Psychopathologie";""
+4;"302067";"302067";"Psychosomatik";""
+4;"302068";"302068";"Pulmologie";""
+4;"302069";"302069";"Radiochirurgie";""
+4;"302070";"302070";"Radiodiagnostik";""
+4;"302071";"302071";"Radiologie";""
+4;"302072";"302072";"Rheumatologie";""
+4;"302073";"302073";"Schlafmedizin";""
+4;"302074";"302074";"Schmerzmedizin";""
+4;"302075";"302075";"Sonographie";""
+4;"302076";"302076";"Sozialpsychiatrie";""
+4;"302077";"302077";"Stammzellentransplantation";""
+4;"302078";"302078";"Stoffwechselerkrankungen";""
+4;"302079";"302079";"Strahlenschutz";""
+4;"302080";"302080";"Strahlentherapie";""
+4;"302081";"302081";"Thoraxchirurgie";""
+4;"302082";"302082";"Transfusionsmedizin";""
+4;"302083";"302083";"Transplantationschirurgie";""
+4;"302084";"302084";"Transplantationsmedizin";""
+4;"302085";"302085";"Unfallchirurgie";""
+4;"302086";"302086";"Urologie";""
+4;"302087";"302087";"Venerologie";""
+4;"302088";"302088";"Zahn-, Mund- und Kieferheilkunde";""
+4;"302089";"302089";"Reproduktionsmedizin";""
+4;"302090";"302090";"Allgemeinmedizin";""
+4;"302091";"302091";"Immuntherapie";""
+4;"302092";"302092";"Orale Chirurgie";""
+2;"303";"303";"Gesundheitswissenschaften";""
+3;"3030";"3030";"Gesundheitswissenschaften";""
+4;"303001";"303001";"Arbeitsmedizin";""
+4;"303002";"303002";"Bakteriologie";""
+4;"303003";"303003";"Berufskrankheiten";""
+4;"303004";"303004";"Bewegungswissenschaft";""
+4;"303005";"303005";"Biomechanik des Sports";""
+4;"303006";"303006";"Di�tologie";""
+4;"303007";"303007";"Epidemiologie";""
+4;"303008";"303008";"Ergonomie";""
+4;"303009";"303009";"Ern�hrungswissenschaften";""
+4;"303010";"303010";"Gesundheits�konomie";""
+4;"303011";"303011";"Gesundheitspolitik";""
+4;"303012";"303012";"Gesundheitswissenschaften";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Impfschutz";""
+4;"303015";"303015";"Krankenhaushygiene";""
+4;"303016";"303016";"Krankenhausmanagement";""
+4;"303017";"303017";"Lebensmittelhygiene";""
+4;"303018";"303018";"Lufthygiene";""
+4;"303019";"303019";"Medizinische Ethik";""
+4;"303020";"303020";"Medizinische Mikrobiologie";""
+4;"303021";"303021";"Medizinische Rehabilitation";""
+4;"303022";"303022";"Palliativpflege";""
+4;"303023";"303023";"Parasitologie";""
+4;"303024";"303024";"Pflegewissenschaft";""
+4;"303025";"303025";"Pr�ventivmedizin";""
+4;"303026";"303026";"Public Health";""
+4;"303027";"303027";"Sozialmedizin";""
+4;"303028";"303028";"Sportwissenschaft";""
+4;"303029";"303029";"Suchtforschung";""
+4;"303030";"303030";"Trainingswissenschaft";""
+4;"303031";"303031";"Tropenmedizin";""
+4;"303032";"303032";"Umwelthygiene";""
+4;"303033";"303033";"Umweltmedizin";""
+4;"303034";"303034";"Virologie";""
+4;"303035";"303035";"Wasserhygiene";""
+4;"303036";"303036";"Patientensicherheit";""
+4;"303037";"303037";"Ergotherapie";""
+4;"303038";"303038";"Physiotherapie";""
+4;"303039";"303039";"Radiologietechnologie";""
+4;"303040";"303040";"Versorgungsforschung";""
+2;"304";"304";"Medizinische Biotechnologie";""
+3;"3040";"3040";"Medizinische Biotechnologie";""
+4;"304001";"304001";"Ethik in der Medizinischen Biotechnologie";""
+4;"304002";"304002";"Genetische Diagnostik";""
+4;"304003";"304003";"Gentechnik";""
+4;"304004";"304004";"Gentherapie";""
+4;"304005";"304005";"Medizinische Biotechnologie";""
+4;"304006";"304006";"Pharmakogenomik";""
+4;"304007";"304007";"Tissue Engineering";""
+2;"305";"305";"Andere Humanmedizin, Gesundheitswissenschaften";""
+3;"3051";"3051";"Gerichtsmedizin";""
+4;"305101";"305101";"Blutspurenanalyse";""
+4;"305102";"305102";"DNA-Analyse (Gerichtsmedizin)";""
+4;"305103";"305103";"Forensische Biologie";""
+4;"305104";"305104";"Forensische Chemie";""
+4;"305105";"305105";"Forensische Psychiatrie";""
+4;"305106";"305106";"Forensische Radiologie";""
+4;"305107";"305107";"Forensische Toxikologie";""
+4;"305108";"305108";"Gerichtliche Humanmedizin";""
+4;"305109";"305109";"Forensische Anthropologie";""
+3;"3059";"3059";"Sonstige Humanmedizin, Gesundheitswissenschaften";""
+4;"305901";"305901";"Computerunterst�tzte Diagnose und Therapie";""
+4;"305902";"305902";"Gender Medizin";""
+4;"305903";"305903";"Geschichte der Medizin";""
+4;"305904";"305904";"Medizinische Dokumentation";""
+4;"305905";"305905";"Medizinische Informatik";""
+4;"305906";"305906";"Medizinische Kybernetik";""
+4;"305907";"305907";"Medizinische Statistik";""
+4;"305908";"305908";"Sportmedizin";""
+4;"305909";"305909";"Stressforschung";""
+4;"305910";"305910";"Verkehrsmedizin";""
+1;"4";"4";"AGRARWISSENSCHAFTEN, VETERIN�RMEDIZIN";""
+2;"401";"401";"Land- und Forstwirtschaft, Fischerei";""
+3;"4011";"4011";"Ackerbau, Gartenbau";""
+4;"401101";"401101";"Ackerbau";""
+4;"401102";"401102";"Bew�sserungswirtschaft";""
+4;"401103";"401103";"Gartenbau";""
+4;"401104";"401104";"Gem�sebau";""
+4;"401105";"401105";"Getreidebau";""
+4;"401106";"401106";"Landschaftspflege";""
+4;"401107";"401107";"Landtechnik";""
+4;"401108";"401108";"Obstbau";""
+4;"401109";"401109";"�kologischer Landbau";""
+4;"401110";"401110";"Pflanzenbau";""
+4;"401111";"401111";"Pflanzenern�hrung";""
+4;"401112";"401112";"Pflanzenschutz";""
+4;"401113";"401113";"Pflanzenzucht";""
+4;"401114";"401114";"Saatzucht";""
+4;"401115";"401115";"Samenzucht";""
+4;"401116";"401116";"Spezialkulturen";""
+4;"401117";"401117";"Weinbau";""
+4;"401118";"401118";"Zierpflanzenbau";""
+4;"401119";"401119";"Feldfutterbau";""
+3;"4012";"4012";"Forst- und Holzwirtschaft";""
+4;"401201";"401201";"Forstentomologie";""
+4;"401202";"401202";"Forstpathologie";""
+4;"401203";"401203";"Forstschutz";""
+4;"401204";"401204";"Forsttechnik";""
+4;"401205";"401205";"Forstwirtschaft";""
+4;"401206";"401206";"Holzwirtschaft";""
+4;"401207";"401207";"Waldbau";""
+4;"401208";"401208";"Wald�kologie";""
+4;"401209";"401209";"Waldwachstum";""
+3;"4019";"4019";"Sonstige Land- und Forstwirtschaft, Fischerei";""
+4;"401901";"401901";"Bodenerosion";""
+4;"401902";"401902";"Bodenkunde";""
+4;"401903";"401903";"Fischerei";""
+4;"401904";"401904";"Geschichte der Land- und Forstwirtschaft";""
+4;"401905";"401905";"Nachwachsende Rohstoffe";""
+4;"401906";"401906";"Jagdwirtschaft";""
+2;"402";"402";"Tierzucht, Tierproduktion";""
+3;"4020";"4020";"Tierzucht, Tierproduktion";""
+4;"402001";"402001";"Bienenkunde";""
+4;"402002";"402002";"Fischkunde";""
+4;"402003";"402003";"Fleischhygiene";""
+4;"402004";"402004";"Fleischproduktion";""
+4;"402005";"402005";"Futtermittelanalyse";""
+4;"402006";"402006";"Haustierzucht";""
+4;"402007";"402007";"Imkerei";""
+4;"402008";"402008";"K�nstliche Besamung";""
+4;"402009";"402009";"Lebensmitteluntersuchung";""
+4;"402010";"402010";"Milchhygiene";""
+4;"402011";"402011";"Milchproduktion";""
+4;"402012";"402012";"Nutztierethologie";""
+4;"402013";"402013";"Tierern�hrung";""
+4;"402014";"402014";"Tierhaltung";""
+4;"402015";"402015";"Tierproduktion";""
+4;"402016";"402016";"Tierschutz";""
+4;"402017";"402017";"Tierzucht";""
+4;"402018";"402018";"Versuchstierkunde";""
+2;"403";"403";"Veterin�rmedizin";""
+3;"4030";"4030";"Veterin�rmedizin";""
+4;"403001";"403001";"An�sthesiologie (Veterin�rmedizin)";""
+4;"403002";"403002";"Anatomie (Veterin�rmedizin)";""
+4;"403003";"403003";"Andrologie (Veterin�rmedizin)";""
+4;"403004";"403004";"Augenheilkunde (Veterin�rmedizin)";""
+4;"403005";"403005";"Bakteriologie (Veterin�rmedizin)";""
+4;"403006";"403006";"Bildgebende Diagnostik (Veterin�rmedizin)";""
+4;"403007";"403007";"Chirurgie (Veterin�rmedizin)";""
+4;"403008";"403008";"Diagnostik (Veterin�rmedizin)";""
+4;"403009";"403009";"Embryologie (Veterin�rmedizin)";""
+4;"403010";"403010";"Geburtshilfe (Veterin�rmedizin)";""
+4;"403011";"403011";"Gerichtliche Veterin�rmedizin";""
+4;"403012";"403012";"Geschichte der Veterin�rmedizin";""
+4;"403013";"403013";"Gyn�kologie (Veterin�rmedizin)";""
+4;"403014";"403014";"Histologie (Veterin�rmedizin)";""
+4;"403015";"403015";"Hygiene (Veterin�rmedizin)";""
+4;"403016";"403016";"Immunologie (Veterin�rmedizin)";""
+4;"403017";"403017";"Interne Medizin (Veterin�rmedizin)";""
+4;"403018";"403018";"Labordiagnostik (Veterin�rmedizin)";""
+4;"403019";"403019";"Medizinische Biochemie (Veterin�rmedizin)";""
+4;"403020";"403020";"Medizinische Chemie (Veterin�rmedizin)";""
+4;"403021";"403021";"Neurologie (Veterin�rmedizin)";""
+4;"403022";"403022";"Orthop�die (Veterin�rmedizin)";""
+4;"403023";"403023";"Parasitologie (Veterin�rmedizin)";""
+4;"403024";"403024";"Pathologie (Veterin�rmedizin)";""
+4;"403025";"403025";"Pharmakologie (Veterin�rmedizin)";""
+4;"403026";"403026";"Physiologie (Veterin�rmedizin)";""
+4;"403027";"403027";"Phytotherapie (Veterin�rmedizin)";""
+4;"403028";"403028";"Tierern�hrung";""
+4;"403029";"403029";"Tierseuchenbek�mpfung";""
+4;"403030";"403030";"Toxikologie (Veterin�rmedizin)";""
+4;"403031";"403031";"Virologie (Veterin�rmedizin)";""
+4;"403032";"403032";"Zahnheilkunde (Veterin�rmedizin)";""
+4;"403033";"403033";"Regenerative Medizin (Veterin�rmedizin)";""
+4;"403034";"403034";"Schmerzmedizin (Veterin�rmedizin)";""
+2;"404";"404";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+3;"4040";"4040";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+4;"404001";"404001";"Agrarbiotechnologie";""
+4;"404002";"404002";"Biopharming";""
+4;"404003";"404003";"Ethik in der Agrar- und Lebensmittelbiotechnologie";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"G�rungstechnologie";""
+4;"404006";"404006";"Gentechnik";""
+4;"404007";"404007";"Lebensmittelbiotechnologie";""
+2;"405";"405";"Andere Agrarwissenschaften";""
+3;"4050";"4050";"Andere Agrarwissenschaften";""
+4;"405001";"405001";"Agrar�kologie";""
+4;"405002";"405002";"Agrar�konomie";""
+4;"405003";"405003";"Agrarpolitik";""
+4;"405004";"405004";"Nachhaltige Landwirtschaft";""
+4;"405005";"405005";"Wildtierkunde";""
+4;"405006";"405006";"Agrarsoziologie";""
+4;"405007";"405007";"Wildtiermanagement";""
+1;"5";"5";"SOZIALWISSENSCHAFTEN";""
+2;"501";"501";"Psychologie";""
+3;"5010";"5010";"Psychologie";""
+4;"501001";"501001";"Allgemeine Psychologie";""
+4;"501002";"501002";"Angewandte Psychologie";""
+4;"501003";"501003";"Arbeitspsychologie";""
+4;"501004";"501004";"Differentielle Psychologie";""
+4;"501005";"501005";"Entwicklungspsychologie";""
+4;"501006";"501006";"Experimentalpsychologie";""
+4;"501007";"501007";"Geschichte der Psychologie";""
+4;"501008";"501008";"Gruppendynamik";""
+4;"501009";"501009";"Kinder- und Jugendpsychologie";""
+4;"501010";"501010";"Klinische Psychologie";""
+4;"501011";"501011";"Kognitionspsychologie";""
+4;"501012";"501012";"Medienpsychologie";""
+4;"501013";"501013";"Motivationspsychologie";""
+4;"501014";"501014";"Neuropsychologie";""
+4;"501015";"501015";"Organisationspsychologie";""
+4;"501016";"501016";"P�dagogische Psychologie";""
+4;"501017";"501017";"Psychoanalyse";""
+4;"501018";"501018";"Psychologische Diagnostik";""
+4;"501019";"501019";"Psychotherapie";""
+4;"501020";"501020";"Rechtspsychologie";""
+4;"501021";"501021";"Sozialpsychologie";""
+4;"501022";"501022";"Suizidologie";""
+4;"501023";"501023";"Tiefenpsychologie";""
+4;"501024";"501024";"Verhaltenstherapie";""
+4;"501025";"501025";"Verkehrspsychologie";""
+4;"501026";"501026";"Wahrnehmungspsychologie";""
+4;"501027";"501027";"Musiktherapie";""
+4;"501028";"501028";"Psychosoziale Notfallversorgung (PSNV)";""
+4;"501029";"501029";"Wirtschaftspsychologie";""
+4;"501030";"501030";"Kognitionswissenschaft";""
+2;"502";"502";"Wirtschaftswissenschaften";""
+3;"5020";"5020";"Wirtschaftswissenschaften";""
+4;"502001";"502001";"Arbeitsmarktpolitik";""
+4;"502002";"502002";"Arbeitsmarkttheorie";""
+4;"502003";"502003";"Au�enhandel";""
+4;"502004";"502004";"Bankbetriebslehre";""
+4;"502005";"502005";"Bildungs�konomie";""
+4;"502006";"502006";"Controlling";""
+4;"502007";"502007";"E-Commerce";""
+4;"502008";"502008";"Entwicklungs�konomie";""
+4;"502009";"502009";"Finanzwirtschaft";""
+4;"502010";"502010";"Finanzwissenschaft";""
+4;"502011";"502011";"Genossenschaftswesen";""
+4;"502012";"502012";"Industriebetriebslehre";""
+4;"502013";"502013";"Industrie�konomik";""
+4;"502014";"502014";"Innovationsforschung";""
+4;"502015";"502015";"Innovationsmanagement";""
+4;"502016";"502016";"KMU-Forschung";""
+4;"502017";"502017";"Logistik";""
+4;"502018";"502018";"Makro�konomie";""
+4;"502019";"502019";"Marketing";""
+4;"502020";"502020";"Marktforschung";""
+4;"502021";"502021";"Mikro�konomie";""
+4;"502022";"502022";"Nachhaltiges Wirtschaften";""
+4;"502023";"502023";"NPO-Forschung";""
+4;"502024";"502024";"�ffentliche Wirtschaft";""
+4;"502025";"502025";"�konometrie";""
+4;"502026";"502026";"Personalmanagement";""
+4;"502027";"502027";"Politische �konomie";""
+4;"502028";"502028";"Produktionswirtschaft";""
+4;"502029";"502029";"Produktmanagement";""
+4;"502030";"502030";"Projektmanagement";""
+4;"502031";"502031";"Public Management";""
+4;"502032";"502032";"Qualit�tsmanagement";""
+4;"502033";"502033";"Rechnungswesen";""
+4;"502034";"502034";"Regulierungs�konomik";""
+4;"502035";"502035";"Revisions- und Treuhandwesen";""
+4;"502036";"502036";"Risikomanagement";""
+4;"502037";"502037";"Standortplanung";""
+4;"502038";"502038";"Steuerlehre";""
+4;"502039";"502039";"Strukturpolitik";""
+4;"502040";"502040";"Tourismusforschung";""
+4;"502041";"502041";"Umweltmanagement";""
+4;"502042";"502042";"Umwelt�konomie";""
+4;"502043";"502043";"Unternehmensberatung";""
+4;"502044";"502044";"Unternehmensf�hrung";""
+4;"502045";"502045";"Verhaltens�konomie";""
+4;"502046";"502046";"Volkswirtschaftspolitik";""
+4;"502047";"502047";"Volkswirtschaftstheorie";""
+4;"502048";"502048";"Wirtschaftsethik";""
+4;"502049";"502049";"Wirtschaftsgeschichte";""
+4;"502050";"502050";"Wirtschaftsinformatik";""
+4;"502051";"502051";"Wirtschaftsstatistik";""
+4;"502052";"502052";"Betriebswirtschaftslehre";""
+4;"502053";"502053";"Volkswirtschaftslehre";""
+4;"502054";"502054";"Entrepreneurship";""
+4;"502055";"502055";"Verteilungs�konomie";""
+4;"502056";"502056";"Wirtschaftspr�fung";""
+2;"503";"503";"Erziehungswissenschaften";""
+3;"5030";"5030";"Erziehungswissenschaften";""
+4;"503001";"503001";"Allgemeine P�dagogik";""
+4;"503002";"503002";"Angewandte P�dagogik";""
+4;"503003";"503003";"Begabungsforschung";""
+4;"503004";"503004";"Berufskunde";""
+4;"503005";"503005";"Berufsp�dagogik";""
+4;"503006";"503006";"Bildungsforschung";""
+4;"503007";"503007";"Didaktik";""
+4;"503008";"503008";"E-Learning";""
+4;"503009";"503009";"Erwachsenenbildung";""
+4;"503010";"503010";"Fachdidaktik Agrarwissenschaften, Veterin�rmedizin";""
+4;"503011";"503011";"Fachdidaktik Geisteswissenschaften";""
+4;"503012";"503012";"Fachdidaktik Humanmedizin, Gesundheitswissenschaften";""
+4;"503013";"503013";"Fachdidaktik Naturwissenschaften";""
+4;"503014";"503014";"Fachdidaktik Sozialwissenschaften";""
+4;"503015";"503015";"Fachdidaktik Technische Wissenschaften";""
+4;"503016";"503016";"Freizeitp�dagogik";""
+4;"503017";"503017";"Geschichte der P�dagogik";""
+4;"503018";"503018";"Hochschuldidaktik";""
+4;"503019";"503019";"Kunstp�dagogik";""
+4;"503020";"503020";"Medienp�dagogik";""
+4;"503021";"503021";"Museumsp�dagogik";""
+4;"503022";"503022";"Musikp�dagogik";""
+4;"503023";"503023";"Qualifikationsforschung";""
+4;"503024";"503024";"Religionsp�dagogik";""
+4;"503025";"503025";"Schulp�dagogik";""
+4;"503026";"503026";"Sonder- und Heilp�dagogik";""
+4;"503027";"503027";"Sozialp�dagogik";""
+4;"503028";"503028";"Sportp�dagogik";""
+4;"503029";"503029";"Sprachlehrforschung";""
+4;"503030";"503030";"Wirtschaftsp�dagogik";""
+4;"503031";"503031";"Elementarp�dagogik";""
+4;"503032";"503032";"Lehr- und Lernforschung";""
+4;"503033";"503033";"Politische Bildung";""
+4;"503034";"503034";"Inklusive P�dagogik";""
+2;"504";"504";"Soziologie";""
+3;"5040";"5040";"Soziologie";""
+4;"504001";"504001";"Allgemeine Soziologie";""
+4;"504002";"504002";"Arbeitssoziologie";""
+4;"504003";"504003";"Armut und soziale Ausgrenzung";""
+4;"504004";"504004";"Bev�lkerungsstatistik";""
+4;"504005";"504005";"Bildungssoziologie";""
+4;"504006";"504006";"Demographie";""
+4;"504007";"504007";"Empirische Sozialforschung";""
+4;"504008";"504008";"Ethnographie";""
+4;"504009";"504009";"Ethnologie";""
+4;"504010";"504010";"Europ�ische Ethnologie";""
+4;"504011";"504011";"Familienforschung";""
+4;"504012";"504012";"Freizeitforschung";""
+4;"504013";"504013";"Gender Mainstreaming";""
+4;"504014";"504014";"Gender Studies";""
+4;"504015";"504015";"Geschichte der Soziologie";""
+4;"504016";"504016";"Jugendsoziologie";""
+4;"504017";"504017";"Kulturanthropologie";""
+4;"504018";"504018";"Kultursoziologie";""
+4;"504019";"504019";"Mediensoziologie";""
+4;"504020";"504020";"Medizinsoziologie";""
+4;"504021";"504021";"Migrationsforschung";""
+4;"504022";"504022";"Musiksoziologie";""
+4;"504023";"504023";"Politische Soziologie";""
+4;"504024";"504024";"Rechtssoziologie";""
+4;"504025";"504025";"Religionssoziologie";""
+4;"504026";"504026";"Sozialgeschichte";""
+4;"504027";"504027";"Spezielle Soziologie";""
+4;"504028";"504028";"Techniksoziologie";""
+4;"504029";"504029";"Umweltsoziologie";""
+4;"504030";"504030";"Wirtschaftssoziologie";""
+4;"504031";"504031";"Diversit�tsforschung";""
+2;"505";"505";"Rechtswissenschaften";""
+3;"5050";"5050";"Rechtswissenschaften";""
+4;"505001";"505001";"Arbeitsrecht";""
+4;"505002";"505002";"Datenschutz";""
+4;"505003";"505003";"Europarecht";""
+4;"505004";"505004";"Finanzrecht";""
+4;"505005";"505005";"Geistiges Eigentum";""
+4;"505006";"505006";"Grundrechte";""
+4;"505007";"505007";"Insolvenzrecht";""
+4;"505008";"505008";"Kriminologie";""
+4;"505009";"505009";"Mediation";""
+4;"505010";"505010";"Medizinrecht";""
+4;"505011";"505011";"Menschenrechte";""
+4;"505012";"505012";"�ffentliches Recht";""
+4;"505013";"505013";"Privatrecht";""
+4;"505014";"505014";"Rechtsgeschichte";""
+4;"505015";"505015";"Rechtsinformatik";""
+4;"505016";"505016";"Rechtstheorie";""
+4;"505017";"505017";"Rechtsvergleichung";""
+4;"505018";"505018";"Religionsrecht";""
+4;"505019";"505019";"R�misches Recht";""
+4;"505020";"505020";"Sozialrecht";""
+4;"505021";"505021";"Staatsrecht";""
+4;"505022";"505022";"Steuerrecht";""
+4;"505023";"505023";"Strafprozessrecht";""
+4;"505024";"505024";"Strafrecht";""
+4;"505025";"505025";"Unternehmensrecht";""
+4;"505026";"505026";"Verfassungsrecht";""
+4;"505027";"505027";"Verwaltungslehre";""
+4;"505028";"505028";"Verwaltungsrecht";""
+4;"505029";"505029";"V�lkerrecht";""
+4;"505030";"505030";"Wirtschaftsrecht";""
+4;"505031";"505031";"Zivilrecht";""
+4;"505032";"505032";"Zivilverfahrensrecht";""
+4;"505033";"505033";"Antidiskriminierungsrecht";""
+4;"505034";"505034";"Bank- und Kapitalmarktrecht";""
+4;"505035";"505035";"Baurecht";""
+4;"505036";"505036";"Energierecht";""
+4;"505037";"505037";"Familien- und Erbrecht";""
+4;"505038";"505038";"Marken- und Patentrecht";""
+4;"505039";"505039";"Medienrecht";""
+4;"505040";"505040";"Sportrecht";""
+4;"505041";"505041";"Umweltrecht";""
+4;"505042";"505042";"Verkehrsrecht";""
+4;"505043";"505043";"Wettbewerbs- und Kartellrecht";""
+4;"505044";"505044";"Gesellschaftsrecht";""
+4;"505045";"505045";"Hochschulrecht";""
+4;"505046";"505046";"Luft- und Weltraumrecht";""
+4;"505047";"505047";"Allgemeines Verfahrensrecht";""
+4;"505048";"505048";"Sachenrecht";""
+2;"506";"506";"Politikwissenschaften";""
+3;"5060";"5060";"Politikwissenschaften";""
+4;"506001";"506001";"Allgemeine Staatslehre";""
+4;"506002";"506002";"E-Government";""
+4;"506003";"506003";"Entwicklungspolitik";""
+4;"506004";"506004";"Europ�ische Integration";""
+4;"506005";"506005";"Forschungspolitik";""
+4;"506006";"506006";"Friedensforschung";""
+4;"506007";"506007";"Internationale Beziehungen";""
+4;"506008";"506008";"Konfliktforschung";""
+4;"506009";"506009";"Organisationstheorie";""
+4;"506010";"506010";"Politikfeldanalyse";""
+4;"506011";"506011";"Politische Geschichte";""
+4;"506012";"506012";"Politische Systeme";""
+4;"506013";"506013";"Politische Theorie";""
+4;"506014";"506014";"Vergleichende Politikwissenschaft";""
+4;"506015";"506015";"Asylpolitik";""
+4;"506016";"506016";"Migrationspolitik";""
+4;"506017";"506017";"Wissenschafts- und Technologiepolitik";""
+2;"507";"507";"Humangeographie, Regionale Geographie, Raumplanung";""
+3;"5070";"5070";"Humangeographie, Regionale Geographie, Raumplanung";""
+4;"507001";"507001";"Angewandte Geographie";""
+4;"507002";"507002";"Bev�lkerungsgeographie";""
+4;"507003";"507003";"Geoinformatik";""
+4;"507004";"507004";"Geschichte der Geographie";""
+4;"507005";"507005";"Kulturgeographie";""
+4;"507006";"507006";"Kulturlandschaftsforschung";""
+4;"507007";"507007";"Landesplanung";""
+4;"507008";"507008";"Landschaftsplanung";""
+4;"507009";"507009";"�rtliche Raumplanung";""
+4;"507010";"507010";"Politische Geographie";""
+4;"507011";"507011";"Raumforschung";""
+4;"507012";"507012";"Raumordnung";""
+4;"507013";"507013";"Regionale Geographie";""
+4;"507014";"507014";"Regionalentwicklung";""
+4;"507015";"507015";"Regionalforschung";""
+4;"507016";"507016";"Regional�konomie";""
+4;"507017";"507017";"Sozialgeographie";""
+4;"507018";"507018";"Stadt-, Dorferneuerung";""
+4;"507019";"507019";"Stadtentwicklungsplanung";""
+4;"507020";"507020";"Stadtforschung";""
+4;"507021";"507021";"Stadtgeschichte";""
+4;"507022";"507022";"Stadtplanung";""
+4;"507023";"507023";"Standortentwicklung";""
+4;"507024";"507024";"Umweltpolitik";""
+4;"507025";"507025";"Verkehrsplanung";""
+4;"507026";"507026";"Wirtschaftsgeographie";""
+4;"507027";"507027";"Nachhaltige Stadtentwicklung";""
+2;"508";"508";"Medien- und Kommunikationswissenschaften";""
+3;"5080";"5080";"Medien- und Kommunikationswissenschaften";""
+4;"508001";"508001";"Archivwesen";""
+4;"508002";"508002";"Audiovisuelle Medien";""
+4;"508003";"508003";"Bibliothekswissenschaft";""
+4;"508004";"508004";"Interkulturelle Kommunikation";""
+4;"508005";"508005";"Journalistik";""
+4;"508006";"508006";"Kommunikationstheorie";""
+4;"508007";"508007";"Kommunikationswissenschaft";""
+4;"508008";"508008";"Medienanalyse";""
+4;"508009";"508009";"Medienforschung";""
+4;"508010";"508010";"Mediengeschichte";""
+4;"508011";"508011";"Medientheorie";""
+4;"508012";"508012";"Medienwirkungsforschung";""
+4;"508013";"508013";"Public Relations";""
+4;"508014";"508014";"Publizistik";""
+4;"508015";"508015";"Wirtschaftskommunikation";""
+4;"508016";"508016";"Wissenschaftskommunikation";""
+4;"508017";"508017";"Organisationskommunikation";""
+4;"508018";"508018";"Rezeptionsforschung";""
+2;"509";"509";"Andere Sozialwissenschaften";""
+3;"5090";"5090";"Andere Sozialwissenschaften";""
+4;"509001";"509001";"Aktionsforschung";""
+4;"509002";"509002";"Disability Studies";""
+4;"509003";"509003";"Entwicklungszusammenarbeit";""
+4;"509004";"509004";"Evaluationsforschung";""
+4;"509005";"509005";"Gerontologie";""
+4;"509006";"509006";"Geschichte der Sozialwissenschaften";""
+4;"509007";"509007";"Graffiti-Forschung";""
+4;"509008";"509008";"Kinderforschung, Jugendforschung";""
+4;"509009";"509009";"Milit�rstrategische Forschung";""
+4;"509010";"509010";"Minderheitenforschung";""
+4;"509011";"509011";"Organisationsentwicklung";""
+4;"509012";"509012";"Sozialpolitik";""
+4;"509013";"509013";"Sozialstatistik";""
+4;"509014";"509014";"Spielforschung";""
+4;"509015";"509015";"Unfallforschung";""
+4;"509016";"509016";"Verkehrswirtschaft";""
+4;"509017";"509017";"Wissenschaftsforschung";""
+4;"509018";"509018";"Wissensmanagement";""
+4;"509019";"509019";"Zukunftsforschung";""
+4;"509020";"509020";"Milit�rethik";""
+4;"509021";"509021";"Milit�rwissenschaft";""
+4;"509022";"509022";"Polemologie";""
+4;"509023";"509023";"Entwicklungsforschung";""
+4;"509024";"509024";"Sicherheitsforschung";""
+4;"509025";"509025";"Technikforschung";""
+1;"6";"6";"GEISTESWISSENSCHAFTEN";""
+2;"601";"601";"Geschichte, Arch�ologie";""
+3;"6010";"6010";"Geschichte, Arch�ologie";""
+4;"601001";"601001";"Alte Geschichte";""
+4;"601002";"601002";"Altertumskunde";""
+4;"601003";"601003";"Arch�ologie";""
+4;"601004";"601004";"Epigraphik";""
+4;"601005";"601005";"Europ�ische Geschichte";""
+4;"601006";"601006";"Fr�hgeschichte";""
+4;"601007";"601007";"Geschichtliche Landeskunde";""
+4;"601008";"601008";"Geschichtswissenschaft";""
+4;"601009";"601009";"Historische Hilfswissenschaften";""
+4;"601010";"601010";"Klassische Arch�ologie";""
+4;"601011";"601011";"Kodikologie";""
+4;"601012";"601012";"Mittelalterliche Geschichte";""
+4;"601013";"601013";"Museologie";""
+4;"601014";"601014";"Neuere Geschichte";""
+4;"601015";"601015";"Numismatik";""
+4;"601016";"601016";"�sterreichische Geschichte";""
+4;"601017";"601017";"Pal�ographie";""
+4;"601018";"601018";"Papyrologie";""
+4;"601019";"601019";"Quellenkunde";""
+4;"601020";"601020";"Regionalgeschichte";""
+4;"601021";"601021";"Urgeschichte";""
+4;"601022";"601022";"Zeitgeschichte";""
+4;"601023";"601023";"Globalgeschichte";""
+4;"601024";"601024";"Arch�ologische Prospektion";""
+4;"601025";"601025";"Experimentelle Arch�ologie";""
+4;"601026";"601026";"Virtuelle Arch�ologie";""
+4;"601027";"601027";"W�stungsforschung";""
+2;"602";"602";"Sprach- und Literaturwissenschaften";""
+3;"6020";"6020";"Sprach- und Literaturwissenschaften";""
+4;"602001";"602001";"Afrikanistik";""
+4;"602002";"602002";"�gyptologie";""
+4;"602003";"602003";"Allgemeine Literaturwissenschaft";""
+4;"602004";"602004";"Allgemeine Sprachwissenschaft";""
+4;"602005";"602005";"Amerikanistik";""
+4;"602006";"602006";"Angewandte Literaturwissenschaft";""
+4;"602007";"602007";"Angewandte Sprachwissenschaft";""
+4;"602008";"602008";"Anglistik";""
+4;"602009";"602009";"Arabistik";""
+4;"602010";"602010";"Byzantinistik";""
+4;"602011";"602011";"Computerlinguistik";""
+4;"602012";"602012";"Finno-Ugristik";""
+4;"602013";"602013";"Geb�rdensprachforschung";""
+4;"602014";"602014";"Germanistik";""
+4;"602015";"602015";"Gr�zistik";""
+4;"602016";"602016";"Hermeneutik";""
+4;"602017";"602017";"Indogermanistik";""
+4;"602018";"602018";"Indologie";""
+4;"602019";"602019";"Iranistik";""
+4;"602020";"602020";"Japanologie";""
+4;"602021";"602021";"Jiddistik";""
+4;"602022";"602022";"Judaistik";""
+4;"602023";"602023";"Keltologie";""
+4;"602024";"602024";"Klassische Philologie";""
+4;"602025";"602025";"Klinische Linguistik";""
+4;"602026";"602026";"Kognitive Linguistik";""
+4;"602027";"602027";"Koptologie";""
+4;"602028";"602028";"Koreanistik";""
+4;"602029";"602029";"Latinistik";""
+4;"602030";"602030";"Lexikographie";""
+4;"602031";"602031";"Literaturgeschichte";""
+4;"602032";"602032";"Mundartforschung";""
+4;"602033";"602033";"Namenforschung";""
+4;"602034";"602034";"Nederlandistik";""
+4;"602035";"602035";"Neogr�zistik";""
+4;"602036";"602036";"Neurolinguistik";""
+4;"602037";"602037";"Orientalistik";""
+4;"602038";"602038";"Phonetik";""
+4;"602039";"602039";"Phonologie";""
+4;"602040";"602040";"Psycholinguistik";""
+4;"602041";"602041";"Rhetorik";""
+4;"602042";"602042";"Romanistik";""
+4;"602043";"602043";"Semiotik";""
+4;"602044";"602044";"Semitistik";""
+4;"602045";"602045";"Sinologie";""
+4;"602046";"602046";"Skandinavistik";""
+4;"602047";"602047";"Slawistik";""
+4;"602048";"602048";"Soziolinguistik";""
+4;"602049";"602049";"Terminologielehre";""
+4;"602050";"602050";"Tibetologie";""
+4;"602051";"602051";"Translationswissenschaft";""
+4;"602052";"602052";"Turkologie";""
+4;"602053";"602053";"Vergleichende Literaturwissenschaft";""
+4;"602054";"602054";"Vergleichende Sprachwissenschaft";""
+4;"602055";"602055";"Patholinguistik";""
+4;"602056";"602056";"Altorientalistik";""
+4;"602057";"602057";"Historische Linguistik";""
+4;"602058";"602058";"Korpuslinguistik";""
+2;"603";"603";"Philosophie, Ethik, Religion";""
+3;"6031";"6031";"Philosophie, Ethik";""
+4;"603101";"603101";"�sthetik";""
+4;"603102";"603102";"Erkenntnistheorie";""
+4;"603103";"603103";"Ethik";""
+4;"603104";"603104";"Geschichte der Philosophie";""
+4;"603105";"603105";"Geschichtsphilosophie";""
+4;"603106";"603106";"Hermeneutik";""
+4;"603107";"603107";"Ideologiekritik";""
+4;"603108";"603108";"Kulturphilosophie";""
+4;"603109";"603109";"Logik";""
+4;"603110";"603110";"Metaphysik";""
+4;"603111";"603111";"Naturphilosophie";""
+4;"603112";"603112";"Ph�nomenologie";""
+4;"603113";"603113";"Philosophie";""
+4;"603114";"603114";"Philosophie des Geistes";""
+4;"603115";"603115";"Philosophische Anthropologie";""
+4;"603116";"603116";"Politische Philosophie";""
+4;"603117";"603117";"Rechtsphilosophie";""
+4;"603118";"603118";"Religionsphilosophie";""
+4;"603119";"603119";"Sozialphilosophie";""
+4;"603120";"603120";"Sprachphilosophie";""
+4;"603121";"603121";"Staatsphilosophie";""
+4;"603122";"603122";"Technikphilosophie";""
+4;"603123";"603123";"Wissenschaftsgeschichte";""
+4;"603124";"603124";"Wissenschaftstheorie";""
+4;"603125";"603125";"Metaethik";""
+4;"603126";"603126";"Interkulturelle Philosophie";""
+3;"6032";"6032";"Theologie";""
+4;"603201";"603201";"Alttestamentliche Bibelwissenschaft";""
+4;"603202";"603202";"Christliche Arch�ologie";""
+4;"603203";"603203";"Christliche Philosophie";""
+4;"603204";"603204";"Christliche Soziallehre";""
+4;"603205";"603205";"Dogmatische Theologie";""
+4;"603206";"603206";"Fundamentaltheologie";""
+4;"603207";"603207";"Homiletik";""
+4;"603208";"603208";"Interkulturelle Theologie";""
+4;"603209";"603209";"Kanonisches Recht";""
+4;"603210";"603210";"Katechetik";""
+4;"603211";"603211";"Kirchengeschichte";""
+4;"603212";"603212";"Liturgiewissenschaft";""
+4;"603213";"603213";"Moraltheologie";""
+4;"603214";"603214";"Neutestamentliche Bibelwissenschaft";""
+4;"603215";"603215";"�kumenische Theologie";""
+4;"603216";"603216";"Pastoralpsychologie";""
+4;"603217";"603217";"Pastoraltheologie";""
+4;"603218";"603218";"Patrologie";""
+4;"603219";"603219";"Praktische Theologie";""
+4;"603220";"603220";"Seelsorge";""
+4;"603221";"603221";"Spirituelle Theologie";""
+4;"603222";"603222";"Systematische Theologie";""
+4;"603223";"603223";"Theologische Anthropologie";""
+3;"6039";"6039";"Sonstige Religion, Religionswissenschaften";""
+4;"603901";"603901";"Atheismus";""
+4;"603902";"603902";"Buddhismus";""
+4;"603903";"603903";"Exegese";""
+4;"603904";"603904";"Hinduismus";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"J�dische Religion";""
+4;"603907";"603907";"Kirchenrecht";""
+4;"603908";"603908";"Religionsgeschichte";""
+4;"603909";"603909";"Religionswissenschaft";""
+4;"603910";"603910";"Religionspsychologie";""
+2;"604";"604";"Kunstwissenschaften";""
+3;"6040";"6040";"Kunstwissenschaften";""
+4;"604001";"604001";"Angewandte Kunst";""
+4;"604002";"604002";"Architektonische Gestaltung";""
+4;"604003";"604003";"Auff�hrungspraxis";""
+4;"604004";"604004";"Bildende Kunst";""
+4;"604005";"604005";"B�hnengestaltung";""
+4;"604006";"604006";"Darstellende Kunst";""
+4;"604007";"604007";"Denkmalpflege";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusikologie";""
+4;"604010";"604010";"Filmgestaltung";""
+4;"604011";"604011";"Filmwissenschaft";""
+4;"604012";"604012";"Fotografie";""
+4;"604013";"604013";"Gartenkunst";""
+4;"604014";"604014";"Gesang";""
+4;"604015";"604015";"Industrial Design";""
+4;"604016";"604016";"Jazzforschung";""
+4;"604017";"604017";"Kirchenmusik";""
+4;"604018";"604018";"Konservierung und Restaurierung";""
+4;"604019";"604019";"Kunstgeschichte";""
+4;"604020";"604020";"Kunsttheorie";""
+4;"604021";"604021";"Medienkunst";""
+4;"604022";"604022";"Musikgeschichte";""
+4;"604023";"604023";"Musiktheorie";""
+4;"604024";"604024";"Musikwissenschaft";""
+4;"604025";"604025";"Popularmusikforschung";""
+4;"604026";"604026";"Raumkunst";""
+4;"604027";"604027";"Szenographie";""
+4;"604028";"604028";"Tanzwissenschaft";""
+4;"604029";"604029";"Theaterwissenschaft";""
+4;"604030";"604030";"Volksmusikforschung";""
+4;"604031";"604031";"Historische Technologie";""
+4;"604032";"604032";"Instrumentalstudien";""
+4;"604033";"604033";"Komposition";""
+4;"604034";"604034";"Musiktheater";""
+4;"604035";"604035";"Orgelforschung";""
+4;"604036";"604036";"Provenienzforschung";""
+4;"604037";"604037";"Sammlungspflege";""
+2;"605";"605";"Andere Geisteswissenschaften";""
+3;"6050";"6050";"Andere Geisteswissenschaften";""
+4;"605001";"605001";"Geschichte der Geisteswissenschaften";""
+4;"605002";"605002";"Kulturgeschichte";""
+4;"605003";"605003";"Kultur�konomie";""
+4;"605004";"605004";"Kulturwissenschaft";""
+4;"605005";"605005";"Publikumsforschung";""
+4;"605006";"605006";"Kulturmanagement";""
+4;"605007";"605007";"Digital Humanities";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_DE_CTI_20211111_154218.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_DE_CTI_20211111_154218.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1f206f052164cfe99678f639bd9216d0436f05b7
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_DE_CTI_20211111_154218.txt
@@ -0,0 +1,1475 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURWISSENSCHAFTEN";""
+2;"101";"101";"Mathematik";""
+3;"1010";"1010";"Mathematik";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Angewandte Geometrie";""
+4;"101004";"101004";"Biomathematik";""
+4;"101005";"101005";"Computeralgebra";""
+4;"101006";"101006";"Differentialgeometrie";""
+4;"101007";"101007";"Finanzmathematik";""
+4;"101008";"101008";"Funktionentheorie";""
+4;"101009";"101009";"Geometrie";""
+4;"101010";"101010";"Geschichte der Mathematik";""
+4;"101011";"101011";"Graphentheorie";""
+4;"101012";"101012";"Kombinatorik";""
+4;"101013";"101013";"Mathematische Logik";""
+4;"101014";"101014";"Numerische Mathematik";""
+4;"101015";"101015";"Operations Research";""
+4;"101016";"101016";"Optimierung";""
+4;"101017";"101017";"Spieltheorie";""
+4;"101018";"101018";"Statistik";""
+4;"101019";"101019";"Stochastik";""
+4;"101020";"101020";"Technische Mathematik";""
+4;"101021";"101021";"Theoretische Kybernetik";""
+4;"101022";"101022";"Topologie";""
+4;"101023";"101023";"Versicherungsmathematik";""
+4;"101024";"101024";"Wahrscheinlichkeitstheorie";""
+4;"101025";"101025";"Zahlentheorie";""
+4;"101026";"101026";"Zeitreihenanalyse";""
+4;"101027";"101027";"Dynamische Systeme";""
+4;"101028";"101028";"Mathematische Modellierung";""
+4;"101029";"101029";"Mathematische Statistik";""
+4;"101030";"101030";"Zuverl�ssigkeitstheorie";""
+4;"101031";"101031";"Approximationstheorie";""
+4;"101032";"101032";"Funktionalanalysis";""
+2;"102";"102";"Informatik";""
+3;"1020";"1020";"Informatik";""
+4;"102001";"102001";"Artificial Intelligence";""
+4;"102002";"102002";"Augmented Reality";""
+4;"102003";"102003";"Bildverarbeitung";""
+4;"102004";"102004";"Bioinformatik";""
+4;"102005";"102005";"Computer Aided Design (CAD)";""
+4;"102006";"102006";"Computer Supported Cooperative Work (CSCW)";""
+4;"102007";"102007";"Computeranimation";""
+4;"102008";"102008";"Computergraphik";""
+4;"102009";"102009";"Computersimulation";""
+4;"102010";"102010";"Datenbanksysteme";""
+4;"102011";"102011";"Formale Sprachen";""
+4;"102012";"102012";"Geschichte der Informatik";""
+4;"102013";"102013";"Human-Computer Interaction";""
+4;"102014";"102014";"Informationsdesign";""
+4;"102015";"102015";"Informationssysteme";""
+4;"102016";"102016";"IT-Sicherheit";""
+4;"102017";"102017";"Kryptologie";""
+4;"102018";"102018";"K�nstliche Neuronale Netze";""
+4;"102019";"102019";"Machine Learning";""
+4;"102020";"102020";"Medizinische Informatik";""
+4;"102021";"102021";"Pervasive Computing";""
+4;"102022";"102022";"Softwareentwicklung";""
+4;"102023";"102023";"Supercomputing";""
+4;"102024";"102024";"Usability Research";""
+4;"102025";"102025";"Verteilte Systeme";""
+4;"102026";"102026";"Virtual Reality";""
+4;"102027";"102027";"Web Engineering";""
+4;"102028";"102028";"Knowledge Engineering";""
+4;"102029";"102029";"Praktische Informatik";""
+4;"102030";"102030";"Semantische Technologien";""
+4;"102031";"102031";"Theoretische Informatik";""
+4;"102032";"102032";"Computational Intelligence";""
+4;"102033";"102033";"Data Mining";""
+4;"102034";"102034";"Cyber-Physical Systems";""
+4;"102035";"102035";"Data Science";""
+4;"102036";"102036";"Digitale Barrierefreiheit";""
+4;"102037";"102037";"Visualisierung";""
+2;"103";"103";"Physik, Astronomie";""
+3;"1030";"1030";"Physik, Astronomie";""
+4;"103001";"103001";"Aerodynamik";""
+4;"103002";"103002";"Akustik";""
+4;"103003";"103003";"Astronomie";""
+4;"103004";"103004";"Astrophysik";""
+4;"103005";"103005";"Atomphysik";""
+4;"103006";"103006";"Chemische Physik";""
+4;"103007";"103007";"Dosimetrie";""
+4;"103008";"103008";"Experimentalphysik";""
+4;"103009";"103009";"Festk�rperphysik";""
+4;"103010";"103010";"Geschichte der Physik";""
+4;"103011";"103011";"Halbleiterphysik";""
+4;"103012";"103012";"Hochenergiephysik";""
+4;"103013";"103013";"Ionenphysik";""
+4;"103014";"103014";"Kernphysik";""
+4;"103015";"103015";"Kondensierte Materie";""
+4;"103016";"103016";"Laserphysik";""
+4;"103017";"103017";"Magnetismus";""
+4;"103018";"103018";"Materialphysik";""
+4;"103019";"103019";"Mathematische Physik";""
+4;"103020";"103020";"Oberfl�chenphysik";""
+4;"103021";"103021";"Optik";""
+4;"103022";"103022";"Plasmaphysik";""
+4;"103023";"103023";"Polymerphysik";""
+4;"103024";"103024";"Quantenfeldtheorie";""
+4;"103025";"103025";"Quantenmechanik";""
+4;"103026";"103026";"Quantenoptik";""
+4;"103027";"103027";"Reaktorphysik";""
+4;"103028";"103028";"Relativit�tstheorie";""
+4;"103029";"103029";"Statistische Physik";""
+4;"103030";"103030";"Strahlenphysik";""
+4;"103031";"103031";"Strahlenschutz";""
+4;"103032";"103032";"Str�mungslehre";""
+4;"103033";"103033";"Supraleitung";""
+4;"103034";"103034";"Teilchenphysik";""
+4;"103035";"103035";"Theoretische Mechanik";""
+4;"103036";"103036";"Theoretische Physik";""
+4;"103037";"103037";"Umweltphysik";""
+4;"103038";"103038";"Weltraumforschung";""
+4;"103039";"103039";"Aerosolphysik";""
+4;"103040";"103040";"Photonik";""
+4;"103041";"103041";"Astroteilchenphysik";""
+4;"103042";"103042";"Elektronenmikroskopie";""
+4;"103043";"103043";"Computational Physics";""
+4;"103044";"103044";"Kosmologie";""
+2;"104";"104";"Chemie";""
+3;"1040";"1040";"Chemie";""
+4;"104001";"104001";"Allgemeine Chemie";""
+4;"104002";"104002";"Analytische Chemie";""
+4;"104003";"104003";"Anorganische Chemie";""
+4;"104004";"104004";"Chemische Biologie";""
+4;"104005";"104005";"Elektrochemie";""
+4;"104006";"104006";"Festk�rperchemie";""
+4;"104007";"104007";"Geschichte der Chemie";""
+4;"104008";"104008";"Katalyse";""
+4;"104009";"104009";"Lebensmittelchemie";""
+4;"104010";"104010";"Makromolekulare Chemie";""
+4;"104011";"104011";"Materialchemie";""
+4;"104012";"104012";"Mikroanalyse";""
+4;"104013";"104013";"Naturstoffchemie";""
+4;"104014";"104014";"Oberfl�chenchemie";""
+4;"104015";"104015";"Organische Chemie";""
+4;"104016";"104016";"Photochemie";""
+4;"104017";"104017";"Physikalische Chemie";""
+4;"104018";"104018";"Polymerchemie";""
+4;"104019";"104019";"Polymerwissenschaften";""
+4;"104020";"104020";"Radiochemie";""
+4;"104021";"104021";"Strukturchemie";""
+4;"104022";"104022";"Theoretische Chemie";""
+4;"104023";"104023";"Umweltchemie";""
+4;"104024";"104024";"R�ntgenstrukturanalyse";""
+4;"104025";"104025";"Single-Molecule Chemistry";""
+4;"104026";"104026";"Spektroskopie";""
+4;"104027";"104027";"Computational Chemistry";""
+2;"105";"105";"Geowissenschaften";""
+3;"1051";"1051";"Geologie, Mineralogie";""
+4;"105101";"105101";"Allgemeine Geologie";""
+4;"105102";"105102";"Allgemeine Geophysik";""
+4;"105103";"105103";"Erd�lgeologie";""
+4;"105104";"105104";"Erosion";""
+4;"105105";"105105";"Geochemie";""
+4;"105106";"105106";"Geodynamik";""
+4;"105107";"105107";"Geoelektrik";""
+4;"105108";"105108";"Geostatistik";""
+4;"105109";"105109";"Geothermik";""
+4;"105110";"105110";"Geschichte der Geologie";""
+4;"105111";"105111";"Gravimetrie";""
+4;"105112";"105112";"Historische Geologie";""
+4;"105113";"105113";"Kristallographie";""
+4;"105114";"105114";"Kulturgeologie";""
+4;"105115";"105115";"Magnetik";""
+4;"105116";"105116";"Mineralogie";""
+4;"105117";"105117";"Pal�obotanik";""
+4;"105118";"105118";"Pal�ontologie";""
+4;"105119";"105119";"Petrographie";""
+4;"105120";"105120";"Petrologie";""
+4;"105121";"105121";"Sedimentologie";""
+4;"105122";"105122";"Seismik";""
+4;"105123";"105123";"Stratigraphie";""
+4;"105124";"105124";"Tektonik";""
+4;"105125";"105125";"Petrophysik";""
+4;"105126";"105126";"Angewandte Geophysik";""
+4;"105127";"105127";"Geochronologie";""
+4;"105128";"105128";"Geomikrobiologie";""
+3;"1052";"1052";"Meteorologie, Klimatologie";""
+4;"105201";"105201";"Aeronomie";""
+4;"105202";"105202";"Agrarmeteorologie";""
+4;"105203";"105203";"Bioklimatologie";""
+4;"105204";"105204";"Klimatologie";""
+4;"105205";"105205";"Klimawandel";""
+4;"105206";"105206";"Meteorologie";""
+4;"105207";"105207";"Gebirgsmeteorologie";""
+4;"105208";"105208";"Atmosph�renchemie";""
+3;"1053";"1053";"Hydrologie";""
+4;"105301";"105301";"Gew�sserschutz";""
+4;"105302";"105302";"Hydrochemie";""
+4;"105303";"105303";"Hydrogeologie";""
+4;"105304";"105304";"Hydrologie";""
+4;"105305";"105305";"Hydrometrie";""
+4;"105306";"105306";"Ozeanographie";""
+4;"105307";"105307";"Wasserg�te";""
+4;"105308";"105308";"Wasserressourcen";""
+3;"1054";"1054";"Physische Geographie";""
+4;"105401";"105401";"Biogeographie";""
+4;"105402";"105402";"Bodengeographie";""
+4;"105403";"105403";"Geoinformatik";""
+4;"105404";"105404";"Geomorphologie";""
+4;"105405";"105405";"Geo�kologie";""
+4;"105406";"105406";"Geschichte der Geographie";""
+4;"105407";"105407";"Kartographie";""
+4;"105408";"105408";"Physische Geographie";""
+4;"105409";"105409";"Topographie";""
+3;"1059";"1059";"Sonstige und interdisziplin�re Geowissenschaften";""
+4;"105901";"105901";"Glaziologie";""
+4;"105902";"105902";"Naturgefahren";""
+4;"105903";"105903";"Spel�ologie";""
+4;"105904";"105904";"Umweltforschung";""
+4;"105905";"105905";"Umweltschutz";""
+4;"105906";"105906";"Umweltgeowissenschaften";""
+4;"105907";"105907";"Polarforschung";""
+2;"106";"106";"Biologie";""
+3;"1060";"1060";"Biologie";""
+4;"106001";"106001";"Allgemeine Biologie";""
+4;"106002";"106002";"Biochemie";""
+4;"106003";"106003";"Biodiversit�tsforschung";""
+4;"106004";"106004";"Bioethik";""
+4;"106005";"106005";"Bioinformatik";""
+4;"106006";"106006";"Biophysik";""
+4;"106007";"106007";"Biostatistik";""
+4;"106008";"106008";"Botanik";""
+4;"106009";"106009";"Chronobiologie";""
+4;"106010";"106010";"Entwicklungsbiologie";""
+4;"106011";"106011";"3R (Replacement, Reduction, Refinement von Tierversuchen)";""
+4;"106012";"106012";"Evolutionsforschung";""
+4;"106013";"106013";"Genetik";""
+4;"106014";"106014";"Genomik";""
+4;"106015";"106015";"Geobotanik";""
+4;"106016";"106016";"Geschichte der Biologie";""
+4;"106017";"106017";"Glykobiologie";""
+4;"106018";"106018";"Humanbiologie";""
+4;"106019";"106019";"Hydrobiologie";""
+4;"106020";"106020";"Limnologie";""
+4;"106021";"106021";"Meeresbiologie";""
+4;"106022";"106022";"Mikrobiologie";""
+4;"106023";"106023";"Molekularbiologie";""
+4;"106024";"106024";"Mykologie";""
+4;"106025";"106025";"Neurobiologie";""
+4;"106026";"106026";"�kosystemforschung";""
+4;"106027";"106027";"�kotoxikologie";""
+4;"106028";"106028";"Pflanzenanatomie";""
+4;"106029";"106029";"Pflanzenmorphologie";""
+4;"106030";"106030";"Pflanzen�kologie";""
+4;"106031";"106031";"Pflanzenphysiologie";""
+4;"106032";"106032";"Photobiologie";""
+4;"106033";"106033";"Phylogenie";""
+4;"106034";"106034";"Phytochemie";""
+4;"106035";"106035";"Phytogeographie";""
+4;"106036";"106036";"Populationsgenetik";""
+4;"106037";"106037";"Proteomik";""
+4;"106038";"106038";"Reproduktionsbiologie";""
+4;"106039";"106039";"Stammzellenforschung";""
+4;"106040";"106040";"Strahlenbiologie";""
+4;"106041";"106041";"Strukturbiologie";""
+4;"106042";"106042";"Systematische Botanik";""
+4;"106043";"106043";"Systematische Zoologie";""
+4;"106044";"106044";"Systembiologie";""
+4;"106045";"106045";"Theoretische Biologie";""
+4;"106046";"106046";"Tieranatomie";""
+4;"106047";"106047";"Tier�kologie";""
+4;"106048";"106048";"Tierphysiologie";""
+4;"106049";"106049";"Ultrastrukturforschung";""
+4;"106050";"106050";"Vegetationskunde";""
+4;"106051";"106051";"Verhaltensbiologie";""
+4;"106052";"106052";"Zellbiologie";""
+4;"106053";"106053";"Zoogeographie";""
+4;"106054";"106054";"Zoologie";""
+4;"106055";"106055";"Aerobiologie";""
+4;"106056";"106056";"Biologische Anthropologie";""
+4;"106057";"106057";"Metabolomik";""
+4;"106058";"106058";"Bodenbiologie";""
+4;"106059";"106059";"Mikrobiomforschung";""
+4;"106060";"106060";"Tierethik";""
+2;"107";"107";"Andere Naturwissenschaften";""
+3;"1070";"1070";"Andere Naturwissenschaften";""
+4;"107001";"107001";"Arch�ometrie";""
+4;"107002";"107002";"Bionik";""
+4;"107003";"107003";"Geschichte der Naturwissenschaften";""
+4;"107004";"107004";"Human�kologie";""
+4;"107005";"107005";"Lebensmitteluntersuchung";""
+4;"107006";"107006";"Naturschutz";""
+4;"107007";"107007";"Risikoforschung";""
+4;"107008";"107008";"Arch�obotanik";""
+4;"107009";"107009";"Arch�ozoologie";""
+4;"107010";"107010";"Geoarch�ologie";""
+1;"2";"2";"TECHNISCHE WISSENSCHAFTEN";""
+2;"201";"201";"Bauwesen";""
+3;"2011";"2011";"Bauingenieurwesen";""
+4;"201101";"201101";"Baubetrieb";""
+4;"201102";"201102";"Baudynamik";""
+4;"201103";"201103";"Bauphysik";""
+4;"201104";"201104";"Baustatik";""
+4;"201105";"201105";"Baustofflehre";""
+4;"201106";"201106";"Bautechnik";""
+4;"201107";"201107";"Betriebsfestigkeit";""
+4;"201108";"201108";"Bruchmechanik";""
+4;"201109";"201109";"Br�ckenbau";""
+4;"201110";"201110";"Festigkeitslehre";""
+4;"201111";"201111";"Flussbau";""
+4;"201112";"201112";"Hochbau";""
+4;"201113";"201113";"Holzbau";""
+4;"201114";"201114";"Industriebau";""
+4;"201115";"201115";"Konstruktiver Wasserbau";""
+4;"201116";"201116";"Landwirtschaftliches Bauwesen";""
+4;"201117";"201117";"Leichtbau";""
+4;"201118";"201118";"Siedlungswasserbau";""
+4;"201119";"201119";"Stahlbau";""
+4;"201120";"201120";"Stahlbetonbau";""
+4;"201121";"201121";"Stra�enbau";""
+4;"201122";"201122";"Technischer Hochwasserschutz";""
+4;"201123";"201123";"Tiefbau";""
+4;"201124";"201124";"Tragwerkslehre";""
+4;"201125";"201125";"Wasserbau";""
+4;"201126";"201126";"Wasserkraftanlagenbau";""
+4;"201127";"201127";"Wildbach- und Lawinenverbauung";""
+4;"201128";"201128";"Nachhaltiges Bauen";""
+4;"201129";"201129";"Erdbebeningenieurwesen";""
+4;"201130";"201130";"Konstruktiver Glasbau";""
+4;"201131";"201131";"Baugeschichte";""
+4;"201132";"201132";"Computational Engineering";""
+3;"2012";"2012";"Architektur";""
+4;"201201";"201201";"Architekturgeschichte";""
+4;"201202";"201202";"Architekturmodellbau";""
+4;"201203";"201203";"Architekturtheorie";""
+4;"201204";"201204";"Barrierefreies Bauen";""
+4;"201205";"201205";"Bauforschung";""
+4;"201206";"201206";"Entwerfen";""
+4;"201207";"201207";"Geb�udelehre";""
+4;"201208";"201208";"Industriearchitektur";""
+4;"201209";"201209";"Innenarchitektur";""
+4;"201210";"201210";"Landschaftsarchitektur";""
+4;"201211";"201211";"Solararchitektur";""
+4;"201212";"201212";"St�dtebau";""
+4;"201213";"201213";"Wohnbau";""
+4;"201214";"201214";"Experimentelle Architektur";""
+4;"201215";"201215";"Baukulturelles Erbe";""
+3;"2013";"2013";"Verkehrswesen";""
+4;"201301";"201301";"Bahnbau";""
+4;"201302";"201302";"Eisenbahnwesen";""
+4;"201303";"201303";"Seilbahnwesen";""
+4;"201304";"201304";"Stra�enbau";""
+4;"201305";"201305";"Verkehrstechnik";""
+4;"201306";"201306";"Verkehrstelematik";""
+4;"201307";"201307";"Verkehrswirtschaft";""
+3;"2019";"2019";"Sonstiges Bauwesen";""
+4;"201901";"201901";"Altbausanierung";""
+4;"201902";"201902";"Bau�kologie";""
+4;"201903";"201903";"Ingenieurbiologie";""
+4;"201904";"201904";"Vegetationstechnik";""
+4;"201905";"201905";"Bauen im Bestand";""
+4;"201906";"201906";"Bauwerksbegr�nung";""
+2;"202";"202";"Elektrotechnik, Elektronik, Informationstechnik";""
+3;"2020";"2020";"Elektrotechnik, Elektronik, Informationstechnik";""
+4;"202001";"202001";"Audiotechnik";""
+4;"202002";"202002";"Audiovisuelle Medien";""
+4;"202003";"202003";"Automatisierungstechnik";""
+4;"202004";"202004";"Brain-Computer Interface";""
+4;"202005";"202005";"Computer Architektur";""
+4;"202006";"202006";"Computer Hardware";""
+4;"202007";"202007";"Computer Integrated Manufacturing (CIM)";""
+4;"202008";"202008";"Elektrische Anlagen";""
+4;"202009";"202009";"Elektrische Antriebstechnik";""
+4;"202010";"202010";"Elektrische Energietechnik";""
+4;"202011";"202011";"Elektrische Maschinen";""
+4;"202012";"202012";"Elektrische Messtechnik";""
+4;"202013";"202013";"Elektromagnetische Vertr�glichkeit";""
+4;"202014";"202014";"Elektromagnetismus";""
+4;"202015";"202015";"Elektronik";""
+4;"202016";"202016";"Elektrotechnik";""
+4;"202017";"202017";"Embedded Systems";""
+4;"202018";"202018";"Halbleiterelektronik";""
+4;"202019";"202019";"Hochfrequenztechnik";""
+4;"202020";"202020";"Hochspannungstechnik";""
+4;"202021";"202021";"Industrielle Elektronik";""
+4;"202022";"202022";"Informationstechnik";""
+4;"202023";"202023";"Integrierte Schaltkreise";""
+4;"202024";"202024";"Lasertechnik";""
+4;"202025";"202025";"Leistungselektronik";""
+4;"202026";"202026";"Lichttechnik";""
+4;"202027";"202027";"Mechatronik";""
+4;"202028";"202028";"Mikroelektronik";""
+4;"202029";"202029";"Mikrowellentechnik";""
+4;"202030";"202030";"Nachrichtentechnik";""
+4;"202031";"202031";"Netzwerktechnik";""
+4;"202032";"202032";"Photovoltaik";""
+4;"202033";"202033";"Radartechnik";""
+4;"202034";"202034";"Regelungstechnik";""
+4;"202035";"202035";"Robotik";""
+4;"202036";"202036";"Sensorik";""
+4;"202037";"202037";"Signalverarbeitung";""
+4;"202038";"202038";"Telekommunikation";""
+4;"202039";"202039";"Theoretische Elektrotechnik";""
+4;"202040";"202040";"�bertragungstechnik";""
+4;"202041";"202041";"Technische Informatik";""
+4;"202042";"202042";"Optische Nachrichtentechnik";""
+4;"202043";"202043";"Netzwerksicherheit";""
+2;"203";"203";"Maschinenbau";""
+3;"2030";"2030";"Maschinenbau";""
+4;"203001";"203001";"Apparatebau";""
+4;"203002";"203002";"Betriebsfestigkeit";""
+4;"203003";"203003";"Bruchmechanik";""
+4;"203004";"203004";"Fahrzeugtechnik";""
+4;"203005";"203005";"Feinwerktechnik";""
+4;"203006";"203006";"Fertigungstechnik";""
+4;"203007";"203007";"Festigkeitslehre";""
+4;"203008";"203008";"F�rdertechnik";""
+4;"203009";"203009";"K�ltetechnik";""
+4;"203010";"203010";"Klimatechnik";""
+4;"203011";"203011";"Leichtbau";""
+4;"203012";"203012";"Luftfahrttechnik";""
+4;"203013";"203013";"Maschinenbau";""
+4;"203014";"203014";"Maschinendynamik";""
+4;"203015";"203015";"Mechatronik";""
+4;"203016";"203016";"Messtechnik";""
+4;"203017";"203017";"Mikromechanik";""
+4;"203018";"203018";"Montanmaschinenbau";""
+4;"203019";"203019";"Reaktortechnik";""
+4;"203020";"203020";"Schwei�technik";""
+4;"203021";"203021";"Str�mungsmaschinen";""
+4;"203022";"203022";"Technische Mechanik";""
+4;"203023";"203023";"Thermische Turbomaschinen";""
+4;"203024";"203024";"Thermodynamik";""
+4;"203025";"203025";"Tribologie";""
+4;"203026";"203026";"Umformtechnik";""
+4;"203027";"203027";"Verbrennungskraftmaschinen";""
+4;"203028";"203028";"W�rmetechnik";""
+4;"203029";"203029";"Werkzeugbau";""
+4;"203030";"203030";"Brennstoffzellentechnik";""
+4;"203031";"203031";"Konstruktionslehre";""
+4;"203032";"203032";"Generative Fertigungsverfahren";""
+4;"203033";"203033";"Hydraulische Antriebstechnik";""
+4;"203034";"203034";"Kontinuumsmechanik";""
+4;"203035";"203035";"Thermoprozesstechnik";""
+4;"203036";"203036";"Waffen- und Munitionstechnik";""
+4;"203037";"203037";"Computational Engineering";""
+4;"203038";"203038";"L�ftungstechnik";""
+2;"204";"204";"Chemische Verfahrenstechnik";""
+3;"2040";"2040";"Chemische Verfahrenstechnik";""
+4;"204001";"204001";"Anorganisch-chemische Technologie";""
+4;"204002";"204002";"Chemische Reaktionstechnik";""
+4;"204003";"204003";"Chemische Verfahrenstechnik";""
+4;"204004";"204004";"Organisch-chemische Technologie";""
+4;"204005";"204005";"Raffinerietechnik";""
+4;"204006";"204006";"Mechanische Verfahrenstechnik";""
+4;"204007";"204007";"Thermische Verfahrenstechnik";""
+4;"204008";"204008";"Membrantechnologie";""
+2;"205";"205";"Werkstofftechnik";""
+3;"2050";"2050";"Werkstofftechnik";""
+4;"205001";"205001";"Baustoffpr�fung";""
+4;"205002";"205002";"Beschichtungstechnik";""
+4;"205003";"205003";"Feuerfeste Materialien";""
+4;"205004";"205004";"Funktionsmaterialien";""
+4;"205005";"205005";"Gesteinsh�ttenkunde";""
+4;"205006";"205006";"Holzforschung";""
+4;"205007";"205007";"Holzschutzmittel";""
+4;"205008";"205008";"Holztechnologie";""
+4;"205009";"205009";"Keramische Werkstoffe";""
+4;"205010";"205010";"Korrosionsschutzmittel";""
+4;"205011";"205011";"Kunststofftechnik";""
+4;"205012";"205012";"Kunststoffverarbeitung";""
+4;"205013";"205013";"Schadensanalytik";""
+4;"205014";"205014";"Textiltechnik";""
+4;"205015";"205015";"Verbundwerkstoffe";""
+4;"205016";"205016";"Werkstoffpr�fung";""
+4;"205017";"205017";"Werkstofftechnik";""
+4;"205018";"205018";"Zellstoff- und Papiertechnik";""
+4;"205019";"205019";"Materialwissenschaften";""
+2;"206";"206";"Medizintechnik";""
+3;"2060";"2060";"Medizintechnik";""
+4;"206001";"206001";"Biomedizinische Technik";""
+4;"206002";"206002";"Elektromedizinische Technik";""
+4;"206003";"206003";"Medizinische Physik";""
+4;"206004";"206004";"Medizintechnik";""
+4;"206005";"206005";"Prothetik";""
+4;"206006";"206006";"Rehabilitationstechnik";""
+2;"207";"207";"Umweltingenieurwesen, Angewandte Geowissenschaften";""
+3;"2071";"2071";"Umwelttechnik";""
+4;"207101";"207101";"Abfalltechnik";""
+4;"207102";"207102";"Abluftreinigung";""
+4;"207103";"207103";"Abwasserreinigung";""
+4;"207104";"207104";"Altlastensanierung";""
+4;"207105";"207105";"Deponietechnik";""
+4;"207106";"207106";"Erneuerbare Energie";""
+4;"207107";"207107";"Luftreinhaltung";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Schadstoffemission";""
+4;"207110";"207110";"Technischer Umweltschutz";""
+4;"207111";"207111";"Umwelttechnik";""
+4;"207112";"207112";"Wasseraufbereitung";""
+4;"207113";"207113";"Wasserinfrastruktur";""
+4;"207114";"207114";"Wasserwirtschaft";""
+3;"2072";"2072";"Ingenieurgeologie, Geotechnik";""
+4;"207201";"207201";"Bodenmechanik";""
+4;"207202";"207202";"Erdbau";""
+4;"207203";"207203";"Felsmechanik";""
+4;"207204";"207204";"Geotechnik";""
+4;"207205";"207205";"Grundbau";""
+4;"207206";"207206";"Ingenieurgeologie";""
+4;"207207";"207207";"Tunnelbau";""
+4;"207208";"207208";"Tunnelbel�ftung";""
+3;"2073";"2073";"Bergbau, Erd�lgewinnung";""
+4;"207301";"207301";"Aufbereitung mineralischer Rohstoffe";""
+4;"207302";"207302";"Bergbaukunde";""
+4;"207303";"207303";"Bergschadenkunde";""
+4;"207304";"207304";"Erdgasgewinnung";""
+4;"207305";"207305";"Erdgastechnik";""
+4;"207306";"207306";"Erd�lgeologie";""
+4;"207307";"207307";"Erd�lgewinnung";""
+4;"207308";"207308";"Erd�ltechnik";""
+4;"207309";"207309";"Geschichte des Bergbaus";""
+4;"207310";"207310";"Gewinnung mineralischer Rohstoffe";""
+4;"207311";"207311";"Lagerst�ttenkunde";""
+4;"207312";"207312";"Markscheidekunde";""
+4;"207313";"207313";"Tiefbohrtechnik";""
+4;"207314";"207314";"Untertagebau";""
+3;"2074";"2074";"Geod�sie, Vermessungswesen";""
+4;"207401";"207401";"3D-Vermessung";""
+4;"207402";"207402";"Fernerkundung";""
+4;"207403";"207403";"Geod�sie";""
+4;"207404";"207404";"Geoinformatik";""
+4;"207405";"207405";"Ingenieurgeod�sie";""
+4;"207406";"207406";"Kartographie";""
+4;"207407";"207407";"Katastervermessung";""
+4;"207408";"207408";"Landesvermessung";""
+4;"207409";"207409";"Navigationssysteme";""
+4;"207410";"207410";"Photogrammetrie";""
+4;"207411";"207411";"Satellitengeod�sie";""
+4;"207412";"207412";"Satellitengest�tzte Koordinatenmessung";""
+4;"207413";"207413";"Vermessungswesen";""
+3;"2079";"2079";"Sonstiges Umweltingenieurwesen, Angewandte Geowissenschaften";""
+4;"207901";"207901";"Offshore-Technik";""
+4;"207902";"207902";"Computational Geosciences";""
+2;"208";"208";"Umweltbiotechnologie";""
+3;"2080";"2080";"Umweltbiotechnologie";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Ethik in der Umweltbiotechnologie";""
+4;"208003";"208003";"Umweltbiotechnologie";""
+2;"209";"209";"Industrielle Biotechnologie";""
+3;"2090";"2090";"Industrielle Biotechnologie";""
+4;"209001";"209001";"Biokatalyse";""
+4;"209002";"209002";"Bioprozesstechnik";""
+4;"209003";"209003";"Biotreibstoffe";""
+4;"209004";"209004";"Enzymtechnologie";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrielle Biotechnologie";""
+2;"210";"210";"Nanotechnologie";""
+3;"2100";"2100";"Nanotechnologie";""
+4;"210001";"210001";"Nanoanalytik";""
+4;"210002";"210002";"Nanobiotechnologie";""
+4;"210003";"210003";"Nanoelektronik";""
+4;"210004";"210004";"Nanomaterialien";""
+4;"210005";"210005";"Nanophotonik";""
+4;"210006";"210006";"Nanotechnologie";""
+2;"211";"211";"Andere Technische Wissenschaften";""
+3;"2111";"2111";"Metallurgie";""
+4;"211101";"211101";"Eisen- und Stahlmetallurgie";""
+4;"211102";"211102";"Gie�ereitechnik";""
+4;"211103";"211103";"Metallkunde";""
+4;"211104";"211104";"Metallurgie";""
+4;"211105";"211105";"Nichteisenmetallurgie";""
+4;"211106";"211106";"Leichtmetalle";""
+4;"211107";"211107";"Sekund�rmetallurgie";""
+3;"2112";"2112";"Lebensmitteltechnologie";""
+4;"211201";"211201";"Getreidetechnologie";""
+4;"211202";"211202";"Lebensmitteltechnologie";""
+4;"211203";"211203";"Lebensmittelverfahrenstechnik";""
+4;"211204";"211204";"Fleischtechnologie";""
+3;"2119";"2119";"Sonstige Technische Wissenschaften";""
+4;"211901";"211901";"Abfallvermeidung";""
+4;"211902";"211902";"Assistierende Technologien";""
+4;"211903";"211903";"Betriebswissenschaften";""
+4;"211904";"211904";"Biomechanik";""
+4;"211905";"211905";"Bionik";""
+4;"211906";"211906";"Brandschutz";""
+4;"211907";"211907";"Energieeinsparung";""
+4;"211908";"211908";"Energieforschung";""
+4;"211909";"211909";"Energietechnik";""
+4;"211910";"211910";"L�rmschutz";""
+4;"211911";"211911";"Nachhaltige Technologien";""
+4;"211912";"211912";"Produktgestaltung";""
+4;"211913";"211913";"Qualit�tssicherung";""
+4;"211914";"211914";"Risikoforschung";""
+4;"211915";"211915";"Solartechnik";""
+4;"211916";"211916";"Sprengtechnik";""
+4;"211917";"211917";"Technikfolgenabsch�tzung";""
+4;"211918";"211918";"Technikgeschichte";""
+4;"211919";"211919";"Thermographie";""
+4;"211920";"211920";"Verpackungstechnik";""
+4;"211921";"211921";"Zivil- und Katastrophenschutz";""
+4;"211922";"211922";"Energiespeicherung";""
+4;"211923";"211923";"Fabrikplanung";""
+4;"211924";"211924";"Prozess- und Anlagensicherheit";""
+4;"211925";"211925";"Explosionsforschung";""
+4;"211926";"211926";"Technikethik";""
+1;"3";"3";"HUMANMEDIZIN, GESUNDHEITSWISSENSCHAFTEN";""
+2;"301";"301";"Medizinisch-theoretische Wissenschaften, Pharmazie";""
+3;"3011";"3011";"Anatomie, Pathologie, Physiologie";""
+4;"301101";"301101";"Allgemeine Pathologie";""
+4;"301102";"301102";"Anatomie";""
+4;"301103";"301103";"Diagnostik in der Medizin";""
+4;"301104";"301104";"Embryologie";""
+4;"301105";"301105";"Experimentelle Pathologie";""
+4;"301106";"301106";"Funktionelle Anatomie";""
+4;"301107";"301107";"Histologie";""
+4;"301108";"301108";"Molekulare Pathologie";""
+4;"301109";"301109";"Pathophysiologie";""
+4;"301110";"301110";"Physiologie";""
+4;"301111";"301111";"R�ntgenanatomie";""
+4;"301112";"301112";"Systematische Anatomie";""
+4;"301113";"301113";"Topographische Anatomie";""
+4;"301114";"301114";"Zellbiologie";""
+4;"301115";"301115";"Sonoanatomie";""
+3;"3012";"3012";"Pharmazie, Pharmakologie, Toxikologie";""
+4;"301201";"301201";"Arzneimittel-, Arzneistoffanalyse";""
+4;"301202";"301202";"Geschichte der Pharmazie";""
+4;"301203";"301203";"Pharmakodynamik";""
+4;"301204";"301204";"Pharmakognosie";""
+4;"301205";"301205";"Pharmakokinetik";""
+4;"301206";"301206";"Pharmakologie";""
+4;"301207";"301207";"Pharmazeutische Chemie";""
+4;"301208";"301208";"Pharmazeutische Technologie";""
+4;"301209";"301209";"Pharmazie";""
+4;"301210";"301210";"Psychopharmakologie";""
+4;"301211";"301211";"Toxikologie";""
+4;"301212";"301212";"Klinische Pharmazie";""
+4;"301213";"301213";"Drug Targeting";""
+4;"301214";"301214";"Biopharmazie";""
+4;"301215";"301215";"Arzneimittelsicherheit";""
+3;"3013";"3013";"Medizinische Biochemie, Humangenetik";""
+4;"301301";"301301";"Humangenetik";""
+4;"301302";"301302";"Lipidforschung";""
+4;"301303";"301303";"Medizinische Biochemie";""
+4;"301304";"301304";"Medizinische Biologie";""
+4;"301305";"301305";"Medizinische Chemie";""
+4;"301306";"301306";"Medizinische Molekularbiologie";""
+4;"301307";"301307";"Zytogenetik";""
+4;"301308";"301308";"Alternsforschung";""
+3;"3014";"3014";"Neurowissenschaften";""
+4;"301401";"301401";"Hirnforschung";""
+4;"301402";"301402";"Neurobiologie";""
+4;"301403";"301403";"Neurochemie";""
+4;"301404";"301404";"Neuroimmunologie";""
+4;"301405";"301405";"Neuropathologie";""
+4;"301406";"301406";"Neuropharmakologie";""
+4;"301407";"301407";"Neurophysiologie";""
+4;"301408";"301408";"Psychophysiologie";""
+4;"301409";"301409";"Neuroanatomie";""
+3;"3019";"3019";"Sonstige Medizinisch-theoretische Wissenschaften";""
+4;"301901";"301901";"Blutgruppenserologie";""
+4;"301902";"301902";"Immunologie";""
+4;"301903";"301903";"Impfstoffentwicklung";""
+4;"301904";"301904";"Krebsforschung";""
+4;"301905";"301905";"Psychoneuroimmunologie";""
+4;"301906";"301906";"Serologie";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Klinische Medizin";""
+3;"3020";"3020";"Klinische Medizin";""
+4;"302001";"302001";"Akupunktur";""
+4;"302002";"302002";"Allergologie";""
+4;"302003";"302003";"Allgemeinchirurgie";""
+4;"302004";"302004";"An�sthesiologie";""
+4;"302005";"302005";"Andrologie";""
+4;"302006";"302006";"Angiologie";""
+4;"302007";"302007";"Augenheilkunde";""
+4;"302008";"302008";"Balneologie";""
+4;"302009";"302009";"Chemotherapie";""
+4;"302010";"302010";"Computertomographie (CT)";""
+4;"302011";"302011";"Dermatologie";""
+4;"302012";"302012";"Diabetologie";""
+4;"302013";"302013";"Diagnostik in der Medizin";""
+4;"302014";"302014";"Endokrinologie";""
+4;"302015";"302015";"Experimentelle Chirurgie";""
+4;"302016";"302016";"Gastroenterologie";""
+4;"302017";"302017";"Geburtshilfe";""
+4;"302018";"302018";"Gef��chirurgie";""
+4;"302019";"302019";"Geriatrie";""
+4;"302020";"302020";"Gerontologie";""
+4;"302021";"302021";"Geschichte der Psychiatrie";""
+4;"302022";"302022";"Gyn�kologie";""
+4;"302023";"302023";"Hals-, Nasen-, Ohrenheilkunde";""
+4;"302024";"302024";"H�matologie";""
+4;"302025";"302025";"Hepatologie";""
+4;"302026";"302026";"Herzchirurgie";""
+4;"302027";"302027";"H�r-, Stimm- und Sprachst�rungen";""
+4;"302028";"302028";"Hyperbare Medizin";""
+4;"302029";"302029";"Implantologie";""
+4;"302030";"302030";"Innere Medizin";""
+4;"302031";"302031";"Intensivmedizin";""
+4;"302032";"302032";"Kardiologie";""
+4;"302033";"302033";"Kieferchirurgie";""
+4;"302034";"302034";"Kieferorthop�die";""
+4;"302035";"302035";"Kinder- und Jugendheilkunde";""
+4;"302036";"302036";"Kinder- und Jugendpsychiatrie";""
+4;"302037";"302037";"Kinderchirurgie";""
+4;"302038";"302038";"Klinische Neuropsychologie";""
+4;"302039";"302039";"Komplement�rmedizin";""
+4;"302040";"302040";"Labordiagnostik";""
+4;"302041";"302041";"Laserchirurgie";""
+4;"302042";"302042";"Logop�die";""
+4;"302043";"302043";"Magnetresonanztomographie (MRT)";""
+4;"302044";"302044";"Medizinische Physik";""
+4;"302045";"302045";"Medizinische Psychologie";""
+4;"302046";"302046";"Medizinische Psychotherapie";""
+4;"302047";"302047";"Mikrochirurgie";""
+4;"302048";"302048";"Minimal-invasive Chirurgie";""
+4;"302049";"302049";"Neonatologie";""
+4;"302050";"302050";"Nephrologie";""
+4;"302051";"302051";"Neurochirurgie";""
+4;"302052";"302052";"Neurologie";""
+4;"302053";"302053";"Notfallmedizin";""
+4;"302054";"302054";"Nuklearmedizin";""
+4;"302055";"302055";"Onkologie";""
+4;"302056";"302056";"Onkologische Chirurgie";""
+4;"302057";"302057";"Orthop�die";""
+4;"302058";"302058";"Palliativmedizin";""
+4;"302059";"302059";"Parodontologie";""
+4;"302060";"302060";"Perinatologie";""
+4;"302061";"302061";"Physikalische Medizin";""
+4;"302062";"302062";"Plastische und Rekonstruktive Chirurgie";""
+4;"302063";"302063";"Polytraumaversorgung";""
+4;"302064";"302064";"Pr�natale Diagnostik";""
+4;"302065";"302065";"Psychiatrie";""
+4;"302066";"302066";"Psychopathologie";""
+4;"302067";"302067";"Psychosomatik";""
+4;"302068";"302068";"Pulmologie";""
+4;"302069";"302069";"Radiochirurgie";""
+4;"302070";"302070";"Radiodiagnostik";""
+4;"302071";"302071";"Radiologie";""
+4;"302072";"302072";"Rheumatologie";""
+4;"302073";"302073";"Schlafmedizin";""
+4;"302074";"302074";"Schmerzmedizin";""
+4;"302075";"302075";"Sonographie";""
+4;"302076";"302076";"Sozialpsychiatrie";""
+4;"302077";"302077";"Stammzellentransplantation";""
+4;"302078";"302078";"Stoffwechselerkrankungen";""
+4;"302079";"302079";"Strahlenschutz";""
+4;"302080";"302080";"Strahlentherapie";""
+4;"302081";"302081";"Thoraxchirurgie";""
+4;"302082";"302082";"Transfusionsmedizin";""
+4;"302083";"302083";"Transplantationschirurgie";""
+4;"302084";"302084";"Transplantationsmedizin";""
+4;"302085";"302085";"Unfallchirurgie";""
+4;"302086";"302086";"Urologie";""
+4;"302087";"302087";"Venerologie";""
+4;"302088";"302088";"Zahn-, Mund- und Kieferheilkunde";""
+4;"302089";"302089";"Reproduktionsmedizin";""
+4;"302090";"302090";"Allgemeinmedizin";""
+4;"302091";"302091";"Immuntherapie";""
+4;"302092";"302092";"Orale Chirurgie";""
+4;"302093";"302093";"Zahnerhaltungskunde";""
+2;"303";"303";"Gesundheitswissenschaften";""
+3;"3030";"3030";"Gesundheitswissenschaften";""
+4;"303001";"303001";"Arbeitsmedizin";""
+4;"303002";"303002";"Bakteriologie";""
+4;"303003";"303003";"Berufskrankheiten";""
+4;"303004";"303004";"Bewegungswissenschaft";""
+4;"303005";"303005";"Biomechanik des Sports";""
+4;"303006";"303006";"Di�tologie";""
+4;"303007";"303007";"Epidemiologie";""
+4;"303008";"303008";"Ergonomie";""
+4;"303009";"303009";"Ern�hrungswissenschaften";""
+4;"303010";"303010";"Gesundheits�konomie";""
+4;"303011";"303011";"Gesundheitspolitik";""
+4;"303012";"303012";"Gesundheitswissenschaften";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Impfschutz";""
+4;"303015";"303015";"Krankenhaushygiene";""
+4;"303016";"303016";"Krankenhausmanagement";""
+4;"303017";"303017";"Lebensmittelhygiene";""
+4;"303018";"303018";"Lufthygiene";""
+4;"303019";"303019";"Medizinische Ethik";""
+4;"303020";"303020";"Medizinische Mikrobiologie";""
+4;"303021";"303021";"Medizinische Rehabilitation";""
+4;"303022";"303022";"Palliativpflege";""
+4;"303023";"303023";"Parasitologie";""
+4;"303024";"303024";"Pflegewissenschaft";""
+4;"303025";"303025";"Pr�ventivmedizin";""
+4;"303026";"303026";"Public Health";""
+4;"303027";"303027";"Sozialmedizin";""
+4;"303028";"303028";"Sportwissenschaft";""
+4;"303029";"303029";"Suchtforschung";""
+4;"303030";"303030";"Trainingswissenschaft";""
+4;"303031";"303031";"Tropenmedizin";""
+4;"303032";"303032";"Umwelthygiene";""
+4;"303033";"303033";"Umweltmedizin";""
+4;"303034";"303034";"Virologie";""
+4;"303035";"303035";"Wasserhygiene";""
+4;"303036";"303036";"Patientensicherheit";""
+4;"303037";"303037";"Ergotherapie";""
+4;"303038";"303038";"Physiotherapie";""
+4;"303039";"303039";"Radiologietechnologie";""
+4;"303040";"303040";"Versorgungsforschung";""
+2;"304";"304";"Medizinische Biotechnologie";""
+3;"3040";"3040";"Medizinische Biotechnologie";""
+4;"304001";"304001";"Ethik in der Medizinischen Biotechnologie";""
+4;"304002";"304002";"Genetische Diagnostik";""
+4;"304003";"304003";"Gentechnik";""
+4;"304004";"304004";"Gentherapie";""
+4;"304005";"304005";"Medizinische Biotechnologie";""
+4;"304006";"304006";"Pharmakogenomik";""
+4;"304007";"304007";"Tissue Engineering";""
+4;"304008";"304008";"Regenerative Medizin";""
+2;"305";"305";"Andere Humanmedizin, Gesundheitswissenschaften";""
+3;"3051";"3051";"Gerichtsmedizin";""
+4;"305101";"305101";"Blutspurenanalyse";""
+4;"305102";"305102";"DNA-Analyse (Gerichtsmedizin)";""
+4;"305103";"305103";"Forensische Biologie";""
+4;"305104";"305104";"Forensische Chemie";""
+4;"305105";"305105";"Forensische Psychiatrie";""
+4;"305106";"305106";"Forensische Radiologie";""
+4;"305107";"305107";"Forensische Toxikologie";""
+4;"305108";"305108";"Gerichtliche Humanmedizin";""
+4;"305109";"305109";"Forensische Anthropologie";""
+3;"3059";"3059";"Sonstige Humanmedizin, Gesundheitswissenschaften";""
+4;"305901";"305901";"Computerunterst�tzte Diagnose und Therapie";""
+4;"305902";"305902";"Gender Medizin";""
+4;"305903";"305903";"Geschichte der Medizin";""
+4;"305904";"305904";"Medizinische Dokumentation";""
+4;"305905";"305905";"Medizinische Informatik";""
+4;"305906";"305906";"Medizinische Kybernetik";""
+4;"305907";"305907";"Medizinische Statistik";""
+4;"305908";"305908";"Sportmedizin";""
+4;"305909";"305909";"Stressforschung";""
+4;"305910";"305910";"Verkehrsmedizin";""
+1;"4";"4";"AGRARWISSENSCHAFTEN, VETERIN�RMEDIZIN";""
+2;"401";"401";"Land- und Forstwirtschaft, Fischerei";""
+3;"4011";"4011";"Ackerbau, Gartenbau";""
+4;"401101";"401101";"Ackerbau";""
+4;"401102";"401102";"Bew�sserungswirtschaft";""
+4;"401103";"401103";"Gartenbau";""
+4;"401104";"401104";"Gem�sebau";""
+4;"401105";"401105";"Getreidebau";""
+4;"401106";"401106";"Landschaftspflege";""
+4;"401107";"401107";"Landtechnik";""
+4;"401108";"401108";"Obstbau";""
+4;"401109";"401109";"�kologischer Landbau";""
+4;"401110";"401110";"Pflanzenbau";""
+4;"401111";"401111";"Pflanzenern�hrung";""
+4;"401112";"401112";"Pflanzenschutz";""
+4;"401113";"401113";"Pflanzenzucht";""
+4;"401114";"401114";"Saatzucht";""
+4;"401115";"401115";"Samenzucht";""
+4;"401116";"401116";"Spezialkulturen";""
+4;"401117";"401117";"Weinbau";""
+4;"401118";"401118";"Zierpflanzenbau";""
+4;"401119";"401119";"Feldfutterbau";""
+3;"4012";"4012";"Forst- und Holzwirtschaft";""
+4;"401201";"401201";"Forstentomologie";""
+4;"401202";"401202";"Forstpathologie";""
+4;"401203";"401203";"Forstschutz";""
+4;"401204";"401204";"Forsttechnik";""
+4;"401205";"401205";"Forstwirtschaft";""
+4;"401206";"401206";"Holzwirtschaft";""
+4;"401207";"401207";"Waldbau";""
+4;"401208";"401208";"Wald�kologie";""
+4;"401209";"401209";"Waldwachstum";""
+3;"4019";"4019";"Sonstige Land- und Forstwirtschaft, Fischerei";""
+4;"401901";"401901";"Bodenerosion";""
+4;"401902";"401902";"Bodenkunde";""
+4;"401903";"401903";"Fischerei";""
+4;"401904";"401904";"Geschichte der Land- und Forstwirtschaft";""
+4;"401905";"401905";"Nachwachsende Rohstoffe";""
+4;"401906";"401906";"Jagdwirtschaft";""
+2;"402";"402";"Tierzucht, Tierproduktion";""
+3;"4020";"4020";"Tierzucht, Tierproduktion";""
+4;"402001";"402001";"Bienenkunde";""
+4;"402002";"402002";"Fischkunde";""
+4;"402003";"402003";"Fleischhygiene";""
+4;"402004";"402004";"Fleischproduktion";""
+4;"402005";"402005";"Futtermittelanalyse";""
+4;"402006";"402006";"Haustierzucht";""
+4;"402007";"402007";"Imkerei";""
+4;"402008";"402008";"K�nstliche Besamung";""
+4;"402009";"402009";"Lebensmitteluntersuchung";""
+4;"402010";"402010";"Milchhygiene";""
+4;"402011";"402011";"Milchproduktion";""
+4;"402012";"402012";"Nutztierethologie";""
+4;"402013";"402013";"Tierern�hrung";""
+4;"402014";"402014";"Tierhaltung";""
+4;"402015";"402015";"Tierproduktion";""
+4;"402016";"402016";"Tierschutz";""
+4;"402017";"402017";"Tierzucht";""
+4;"402018";"402018";"Labortierkunde";""
+2;"403";"403";"Veterin�rmedizin";""
+3;"4030";"4030";"Veterin�rmedizin";""
+4;"403001";"403001";"An�sthesiologie (Veterin�rmedizin)";""
+4;"403002";"403002";"Anatomie (Veterin�rmedizin)";""
+4;"403003";"403003";"Andrologie (Veterin�rmedizin)";""
+4;"403004";"403004";"Augenheilkunde (Veterin�rmedizin)";""
+4;"403005";"403005";"Bakteriologie (Veterin�rmedizin)";""
+4;"403006";"403006";"Bildgebende Diagnostik (Veterin�rmedizin)";""
+4;"403007";"403007";"Chirurgie (Veterin�rmedizin)";""
+4;"403008";"403008";"Diagnostik (Veterin�rmedizin)";""
+4;"403009";"403009";"Embryologie (Veterin�rmedizin)";""
+4;"403010";"403010";"Geburtshilfe (Veterin�rmedizin)";""
+4;"403011";"403011";"Gerichtliche Veterin�rmedizin";""
+4;"403012";"403012";"Geschichte der Veterin�rmedizin";""
+4;"403013";"403013";"Gyn�kologie (Veterin�rmedizin)";""
+4;"403014";"403014";"Histologie (Veterin�rmedizin)";""
+4;"403015";"403015";"Hygiene (Veterin�rmedizin)";""
+4;"403016";"403016";"Immunologie (Veterin�rmedizin)";""
+4;"403017";"403017";"Interne Medizin (Veterin�rmedizin)";""
+4;"403018";"403018";"Labordiagnostik (Veterin�rmedizin)";""
+4;"403019";"403019";"Medizinische Biochemie (Veterin�rmedizin)";""
+4;"403020";"403020";"Medizinische Chemie (Veterin�rmedizin)";""
+4;"403021";"403021";"Neurologie (Veterin�rmedizin)";""
+4;"403022";"403022";"Orthop�die (Veterin�rmedizin)";""
+4;"403023";"403023";"Parasitologie (Veterin�rmedizin)";""
+4;"403024";"403024";"Pathologie (Veterin�rmedizin)";""
+4;"403025";"403025";"Pharmakologie (Veterin�rmedizin)";""
+4;"403026";"403026";"Physiologie (Veterin�rmedizin)";""
+4;"403027";"403027";"Phytotherapie (Veterin�rmedizin)";""
+4;"403028";"403028";"Tierern�hrung";""
+4;"403029";"403029";"Tierseuchenbek�mpfung";""
+4;"403030";"403030";"Toxikologie (Veterin�rmedizin)";""
+4;"403031";"403031";"Virologie (Veterin�rmedizin)";""
+4;"403032";"403032";"Zahnheilkunde (Veterin�rmedizin)";""
+4;"403033";"403033";"Regenerative Medizin (Veterin�rmedizin)";""
+4;"403034";"403034";"Schmerzmedizin (Veterin�rmedizin)";""
+4;"403035";"403035";"Bestandsbetreuung";""
+4;"403036";"403036";"Intensivmedizin (Veterin�rmedizin)";""
+2;"404";"404";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+3;"4040";"4040";"Agrarbiotechnologie, Lebensmittelbiotechnologie";""
+4;"404001";"404001";"Agrarbiotechnologie";""
+4;"404002";"404002";"Biopharming";""
+4;"404003";"404003";"Ethik in der Agrar- und Lebensmittelbiotechnologie";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"G�rungstechnologie";""
+4;"404006";"404006";"Gentechnik";""
+4;"404007";"404007";"Lebensmittelbiotechnologie";""
+2;"405";"405";"Andere Agrarwissenschaften";""
+3;"4050";"4050";"Andere Agrarwissenschaften";""
+4;"405001";"405001";"Agrar�kologie";""
+4;"405002";"405002";"Agrar�konomie";""
+4;"405003";"405003";"Agrarpolitik";""
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+4;"405005";"405005";"Wildtierkunde";""
+4;"405006";"405006";"Agrarsoziologie";""
+4;"405007";"405007";"Wildtiermanagement";""
+1;"5";"5";"SOZIALWISSENSCHAFTEN";""
+2;"501";"501";"Psychologie";""
+3;"5010";"5010";"Psychologie";""
+4;"501001";"501001";"Allgemeine Psychologie";""
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+4;"501004";"501004";"Differentielle Psychologie";""
+4;"501005";"501005";"Entwicklungspsychologie";""
+4;"501006";"501006";"Experimentalpsychologie";""
+4;"501007";"501007";"Geschichte der Psychologie";""
+4;"501008";"501008";"Gruppendynamik";""
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+4;"501010";"501010";"Klinische Psychologie";""
+4;"501011";"501011";"Kognitionspsychologie";""
+4;"501012";"501012";"Medienpsychologie";""
+4;"501013";"501013";"Motivationspsychologie";""
+4;"501014";"501014";"Neuropsychologie";""
+4;"501015";"501015";"Organisationspsychologie";""
+4;"501016";"501016";"P�dagogische Psychologie";""
+4;"501017";"501017";"Psychoanalyse";""
+4;"501018";"501018";"Psychologische Diagnostik";""
+4;"501019";"501019";"Psychotherapie";""
+4;"501020";"501020";"Rechtspsychologie";""
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+4;"501025";"501025";"Verkehrspsychologie";""
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+4;"501027";"501027";"Musiktherapie";""
+4;"501028";"501028";"Psychosoziale Notfallversorgung (PSNV)";""
+4;"501029";"501029";"Wirtschaftspsychologie";""
+4;"501030";"501030";"Kognitionswissenschaft";""
+2;"502";"502";"Wirtschaftswissenschaften";""
+3;"5020";"5020";"Wirtschaftswissenschaften";""
+4;"502001";"502001";"Arbeitsmarktpolitik";""
+4;"502002";"502002";"Arbeitsmarkttheorie";""
+4;"502003";"502003";"Au�enhandel";""
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+4;"502005";"502005";"Bildungs�konomie";""
+4;"502006";"502006";"Controlling";""
+4;"502007";"502007";"E-Commerce";""
+4;"502008";"502008";"Entwicklungs�konomie";""
+4;"502009";"502009";"Finanzwirtschaft";""
+4;"502010";"502010";"Finanzwissenschaft";""
+4;"502011";"502011";"Genossenschaftswesen";""
+4;"502012";"502012";"Industriebetriebslehre";""
+4;"502013";"502013";"Industrie�konomik";""
+4;"502014";"502014";"Innovationsforschung";""
+4;"502015";"502015";"Innovationsmanagement";""
+4;"502016";"502016";"KMU-Forschung";""
+4;"502017";"502017";"Logistik";""
+4;"502018";"502018";"Makro�konomie";""
+4;"502019";"502019";"Marketing";""
+4;"502020";"502020";"Marktforschung";""
+4;"502021";"502021";"Mikro�konomie";""
+4;"502022";"502022";"Nachhaltiges Wirtschaften";""
+4;"502023";"502023";"NPO-Forschung";""
+4;"502024";"502024";"�ffentliche Wirtschaft";""
+4;"502025";"502025";"�konometrie";""
+4;"502026";"502026";"Personalmanagement";""
+4;"502027";"502027";"Politische �konomie";""
+4;"502028";"502028";"Produktionswirtschaft";""
+4;"502029";"502029";"Produktmanagement";""
+4;"502030";"502030";"Projektmanagement";""
+4;"502031";"502031";"Public Management";""
+4;"502032";"502032";"Qualit�tsmanagement";""
+4;"502033";"502033";"Rechnungswesen";""
+4;"502034";"502034";"Regulierungs�konomik";""
+4;"502035";"502035";"Revisions- und Treuhandwesen";""
+4;"502036";"502036";"Risikomanagement";""
+4;"502037";"502037";"Standortplanung";""
+4;"502038";"502038";"Steuerlehre";""
+4;"502039";"502039";"Strukturpolitik";""
+4;"502040";"502040";"Tourismusforschung";""
+4;"502041";"502041";"Umweltmanagement";""
+4;"502042";"502042";"Umwelt�konomie";""
+4;"502043";"502043";"Unternehmensberatung";""
+4;"502044";"502044";"Unternehmensf�hrung";""
+4;"502045";"502045";"Verhaltens�konomie";""
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+4;"502049";"502049";"Wirtschaftsgeschichte";""
+4;"502050";"502050";"Wirtschaftsinformatik";""
+4;"502051";"502051";"Wirtschaftsstatistik";""
+4;"502052";"502052";"Betriebswirtschaftslehre";""
+4;"502053";"502053";"Volkswirtschaftslehre";""
+4;"502054";"502054";"Entrepreneurship";""
+4;"502055";"502055";"Verteilungs�konomie";""
+4;"502056";"502056";"Wirtschaftspr�fung";""
+4;"502057";"502057";"Experimentelle �konomie";""
+4;"502058";"502058";"Digitale Transformation";""
+4;"502059";"502059";"Kreislaufwirtschaft";""
+2;"503";"503";"Erziehungswissenschaften";""
+3;"5030";"5030";"Erziehungswissenschaften";""
+4;"503001";"503001";"Allgemeine P�dagogik";""
+4;"503002";"503002";"Angewandte P�dagogik";""
+4;"503003";"503003";"Begabungsforschung";""
+4;"503004";"503004";"Berufskunde";""
+4;"503005";"503005";"Berufsp�dagogik";""
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+4;"503008";"503008";"E-Learning";""
+4;"503009";"503009";"Erwachsenenbildung";""
+4;"503010";"503010";"Fachdidaktik Agrarwissenschaften, Veterin�rmedizin";""
+4;"503011";"503011";"Fachdidaktik Geisteswissenschaften";""
+4;"503012";"503012";"Fachdidaktik Humanmedizin, Gesundheitswissenschaften";""
+4;"503013";"503013";"Fachdidaktik Naturwissenschaften";""
+4;"503014";"503014";"Fachdidaktik Sozialwissenschaften";""
+4;"503015";"503015";"Fachdidaktik Technische Wissenschaften";""
+4;"503016";"503016";"Freizeitp�dagogik";""
+4;"503017";"503017";"Geschichte der P�dagogik";""
+4;"503018";"503018";"Hochschuldidaktik";""
+4;"503019";"503019";"Kunstp�dagogik";""
+4;"503020";"503020";"Medienp�dagogik";""
+4;"503021";"503021";"Museumsp�dagogik";""
+4;"503022";"503022";"Musikp�dagogik";""
+4;"503023";"503023";"Qualifikationsforschung";""
+4;"503024";"503024";"Religionsp�dagogik";""
+4;"503025";"503025";"Schulp�dagogik";""
+4;"503026";"503026";"Sonder- und Heilp�dagogik";""
+4;"503027";"503027";"Sozialp�dagogik";""
+4;"503028";"503028";"Sportp�dagogik";""
+4;"503029";"503029";"Sprachlehrforschung";""
+4;"503030";"503030";"Wirtschaftsp�dagogik";""
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+4;"503032";"503032";"Lehr- und Lernforschung";""
+4;"503033";"503033";"Politische Bildung";""
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+3;"5040";"5040";"Soziologie";""
+4;"504001";"504001";"Allgemeine Soziologie";""
+4;"504002";"504002";"Arbeitssoziologie";""
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+4;"504004";"504004";"Bev�lkerungsstatistik";""
+4;"504005";"504005";"Bildungssoziologie";""
+4;"504006";"504006";"Demographie";""
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+4;"504008";"504008";"Ethnographie";""
+4;"504009";"504009";"Ethnologie";""
+4;"504010";"504010";"Europ�ische Ethnologie";""
+4;"504011";"504011";"Familienforschung";""
+4;"504012";"504012";"Freizeitforschung";""
+4;"504013";"504013";"Gender Mainstreaming";""
+4;"504014";"504014";"Gender Studies";""
+4;"504015";"504015";"Geschichte der Soziologie";""
+4;"504016";"504016";"Jugendsoziologie";""
+4;"504017";"504017";"Kulturanthropologie";""
+4;"504018";"504018";"Kultursoziologie";""
+4;"504019";"504019";"Mediensoziologie";""
+4;"504020";"504020";"Medizinsoziologie";""
+4;"504021";"504021";"Migrationsforschung";""
+4;"504022";"504022";"Musiksoziologie";""
+4;"504023";"504023";"Politische Soziologie";""
+4;"504024";"504024";"Rechtssoziologie";""
+4;"504025";"504025";"Religionssoziologie";""
+4;"504026";"504026";"Sozialgeschichte";""
+4;"504027";"504027";"Spezielle Soziologie";""
+4;"504028";"504028";"Techniksoziologie";""
+4;"504029";"504029";"Umweltsoziologie";""
+4;"504030";"504030";"Wirtschaftssoziologie";""
+4;"504031";"504031";"Diversit�tsforschung";""
+2;"505";"505";"Rechtswissenschaften";""
+3;"5050";"5050";"Rechtswissenschaften";""
+4;"505001";"505001";"Arbeitsrecht";""
+4;"505002";"505002";"Datenschutz";""
+4;"505003";"505003";"Europarecht";""
+4;"505004";"505004";"Finanzrecht";""
+4;"505005";"505005";"Geistiges Eigentum";""
+4;"505006";"505006";"Grundrechte";""
+4;"505007";"505007";"Insolvenzrecht";""
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+4;"505010";"505010";"Medizinrecht";""
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+4;"505012";"505012";"�ffentliches Recht";""
+4;"505013";"505013";"Privatrecht";""
+4;"505014";"505014";"Rechtsgeschichte";""
+4;"505015";"505015";"Rechtsinformatik";""
+4;"505016";"505016";"Rechtstheorie";""
+4;"505017";"505017";"Rechtsvergleichung";""
+4;"505018";"505018";"Religionsrecht";""
+4;"505019";"505019";"R�misches Recht";""
+4;"505020";"505020";"Sozialrecht";""
+4;"505021";"505021";"Staatsrecht";""
+4;"505022";"505022";"Steuerrecht";""
+4;"505023";"505023";"Strafprozessrecht";""
+4;"505024";"505024";"Strafrecht";""
+4;"505025";"505025";"Unternehmensrecht";""
+4;"505026";"505026";"Verfassungsrecht";""
+4;"505027";"505027";"Verwaltungslehre";""
+4;"505028";"505028";"Verwaltungsrecht";""
+4;"505029";"505029";"V�lkerrecht";""
+4;"505030";"505030";"Wirtschaftsrecht";""
+4;"505031";"505031";"Zivilrecht";""
+4;"505032";"505032";"Zivilverfahrensrecht";""
+4;"505033";"505033";"Antidiskriminierungsrecht";""
+4;"505034";"505034";"Bank- und Kapitalmarktrecht";""
+4;"505035";"505035";"Baurecht";""
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+4;"505037";"505037";"Familien- und Erbrecht";""
+4;"505038";"505038";"Marken- und Patentrecht";""
+4;"505039";"505039";"Medienrecht";""
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+4;"505042";"505042";"Verkehrsrecht";""
+4;"505043";"505043";"Wettbewerbs- und Kartellrecht";""
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+4;"505047";"505047";"Allgemeines Verfahrensrecht";""
+4;"505048";"505048";"Sachenrecht";""
+4;"505049";"505049";"Schiedsverfahrensrecht";""
+4;"505050";"505050";"Tierschutzrecht";""
+4;"505051";"505051";"Rechtsethik";""
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+2;"506";"506";"Politikwissenschaften";""
+3;"5060";"5060";"Politikwissenschaften";""
+4;"506001";"506001";"Allgemeine Staatslehre";""
+4;"506002";"506002";"E-Government";""
+4;"506003";"506003";"Entwicklungspolitik";""
+4;"506004";"506004";"Europ�ische Integration";""
+4;"506005";"506005";"Forschungspolitik";""
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+4;"506007";"506007";"Internationale Beziehungen";""
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+4;"506010";"506010";"Politikfeldanalyse";""
+4;"506011";"506011";"Politische Geschichte";""
+4;"506012";"506012";"Politische Systeme";""
+4;"506013";"506013";"Politische Theorie";""
+4;"506014";"506014";"Vergleichende Politikwissenschaft";""
+4;"506015";"506015";"Asylpolitik";""
+4;"506016";"506016";"Migrationspolitik";""
+4;"506017";"506017";"Wissenschafts- und Technologiepolitik";""
+4;"506018";"506018";"Terrorismusforschung";""
+2;"507";"507";"Humangeographie, Regionale Geographie, Raumplanung";""
+3;"5070";"5070";"Humangeographie, Regionale Geographie, Raumplanung";""
+4;"507001";"507001";"Angewandte Geographie";""
+4;"507002";"507002";"Bev�lkerungsgeographie";""
+4;"507003";"507003";"Geoinformatik";""
+4;"507004";"507004";"Geschichte der Geographie";""
+4;"507005";"507005";"Kulturgeographie";""
+4;"507006";"507006";"Kulturlandschaftsforschung";""
+4;"507007";"507007";"Landesplanung";""
+4;"507008";"507008";"Landschaftsplanung";""
+4;"507009";"507009";"�rtliche Raumplanung";""
+4;"507010";"507010";"Politische Geographie";""
+4;"507011";"507011";"Raumforschung";""
+4;"507012";"507012";"Raumordnung";""
+4;"507013";"507013";"Regionale Geographie";""
+4;"507014";"507014";"Regionalentwicklung";""
+4;"507015";"507015";"Regionalforschung";""
+4;"507016";"507016";"Regional�konomie";""
+4;"507017";"507017";"Sozialgeographie";""
+4;"507018";"507018";"Stadt-, Dorferneuerung";""
+4;"507019";"507019";"Stadtentwicklungsplanung";""
+4;"507020";"507020";"Stadtforschung";""
+4;"507021";"507021";"Stadtgeschichte";""
+4;"507022";"507022";"Stadtplanung";""
+4;"507023";"507023";"Standortentwicklung";""
+4;"507024";"507024";"Umweltpolitik";""
+4;"507025";"507025";"Verkehrsplanung";""
+4;"507026";"507026";"Wirtschaftsgeographie";""
+4;"507027";"507027";"Nachhaltige Stadtentwicklung";""
+4;"507028";"507028";"Kartographie";""
+4;"507029";"507029";"Stadt�kologie";""
+2;"508";"508";"Medien- und Kommunikationswissenschaften";""
+3;"5080";"5080";"Medien- und Kommunikationswissenschaften";""
+4;"508001";"508001";"Archivwesen";""
+4;"508002";"508002";"Audiovisuelle Medien";""
+4;"508003";"508003";"Bibliothekswissenschaft";""
+4;"508004";"508004";"Interkulturelle Kommunikation";""
+4;"508005";"508005";"Journalistik";""
+4;"508006";"508006";"Kommunikationstheorie";""
+4;"508007";"508007";"Kommunikationswissenschaft";""
+4;"508008";"508008";"Medienanalyse";""
+4;"508009";"508009";"Medienforschung";""
+4;"508010";"508010";"Mediengeschichte";""
+4;"508011";"508011";"Medientheorie";""
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+4;"508013";"508013";"Public Relations";""
+4;"508014";"508014";"Publizistik";""
+4;"508015";"508015";"Wirtschaftskommunikation";""
+4;"508016";"508016";"Wissenschaftskommunikation";""
+4;"508017";"508017";"Organisationskommunikation";""
+4;"508018";"508018";"Rezeptionsforschung";""
+4;"508019";"508019";"Medienethik";""
+4;"508020";"508020";"Politische Kommunikation";""
+4;"508021";"508021";"Medienwissenschaft";""
+2;"509";"509";"Andere Sozialwissenschaften";""
+3;"5090";"5090";"Andere Sozialwissenschaften";""
+4;"509001";"509001";"Aktionsforschung";""
+4;"509002";"509002";"Disability Studies";""
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+4;"509004";"509004";"Evaluationsforschung";""
+4;"509005";"509005";"Gerontologie";""
+4;"509006";"509006";"Geschichte der Sozialwissenschaften";""
+4;"509007";"509007";"Graffiti-Forschung";""
+4;"509008";"509008";"Kinderforschung, Jugendforschung";""
+4;"509009";"509009";"Milit�rstrategische Forschung";""
+4;"509010";"509010";"Minderheitenforschung";""
+4;"509011";"509011";"Organisationsentwicklung";""
+4;"509012";"509012";"Sozialpolitik";""
+4;"509013";"509013";"Sozialstatistik";""
+4;"509014";"509014";"Spielforschung";""
+4;"509015";"509015";"Unfallforschung";""
+4;"509016";"509016";"Verkehrswirtschaft";""
+4;"509017";"509017";"Wissenschaftsforschung";""
+4;"509018";"509018";"Wissensmanagement";""
+4;"509019";"509019";"Zukunftsforschung";""
+4;"509020";"509020";"Milit�rethik";""
+4;"509021";"509021";"Milit�rwissenschaft";""
+4;"509022";"509022";"Polemologie";""
+4;"509023";"509023";"Entwicklungsforschung";""
+4;"509024";"509024";"Sicherheitsforschung";""
+4;"509025";"509025";"Technikforschung";""
+4;"509026";"509026";"Digitalisierungsforschung";""
+1;"6";"6";"GEISTESWISSENSCHAFTEN";""
+2;"601";"601";"Geschichte, Arch�ologie";""
+3;"6010";"6010";"Geschichte, Arch�ologie";""
+4;"601001";"601001";"Alte Geschichte";""
+4;"601002";"601002";"Altertumskunde";""
+4;"601003";"601003";"Arch�ologie";""
+4;"601004";"601004";"Epigraphik";""
+4;"601005";"601005";"Europ�ische Geschichte";""
+4;"601006";"601006";"Fr�hgeschichte";""
+4;"601007";"601007";"Geschichtliche Landeskunde";""
+4;"601008";"601008";"Geschichtswissenschaft";""
+4;"601009";"601009";"Historische Hilfswissenschaften";""
+4;"601010";"601010";"Klassische Arch�ologie";""
+4;"601011";"601011";"Kodikologie";""
+4;"601012";"601012";"Mittelalterliche Geschichte";""
+4;"601013";"601013";"Museologie";""
+4;"601014";"601014";"Neuere Geschichte";""
+4;"601015";"601015";"Numismatik";""
+4;"601016";"601016";"�sterreichische Geschichte";""
+4;"601017";"601017";"Pal�ographie";""
+4;"601018";"601018";"Papyrologie";""
+4;"601019";"601019";"Quellenkunde";""
+4;"601020";"601020";"Regionalgeschichte";""
+4;"601021";"601021";"Urgeschichte";""
+4;"601022";"601022";"Zeitgeschichte";""
+4;"601023";"601023";"Globalgeschichte";""
+4;"601024";"601024";"Arch�ologische Prospektion";""
+4;"601025";"601025";"Experimentelle Arch�ologie";""
+4;"601026";"601026";"Virtuelle Arch�ologie";""
+4;"601027";"601027";"W�stungsforschung";""
+4;"601028";"601028";"Geschlechtergeschichte";""
+4;"601029";"601029";"Sozialgeschichte";""
+2;"602";"602";"Sprach- und Literaturwissenschaften";""
+3;"6020";"6020";"Sprach- und Literaturwissenschaften";""
+4;"602001";"602001";"Afrikanistik";""
+4;"602002";"602002";"�gyptologie";""
+4;"602003";"602003";"Allgemeine Literaturwissenschaft";""
+4;"602004";"602004";"Allgemeine Sprachwissenschaft";""
+4;"602005";"602005";"Amerikanistik";""
+4;"602006";"602006";"Angewandte Literaturwissenschaft";""
+4;"602007";"602007";"Angewandte Sprachwissenschaft";""
+4;"602008";"602008";"Anglistik";""
+4;"602009";"602009";"Arabistik";""
+4;"602010";"602010";"Byzantinistik";""
+4;"602011";"602011";"Computerlinguistik";""
+4;"602012";"602012";"Finno-Ugristik";""
+4;"602013";"602013";"Geb�rdensprachforschung";""
+4;"602014";"602014";"Germanistik";""
+4;"602015";"602015";"Gr�zistik";""
+4;"602016";"602016";"Hermeneutik";""
+4;"602017";"602017";"Indogermanistik";""
+4;"602018";"602018";"Indologie";""
+4;"602019";"602019";"Iranistik";""
+4;"602020";"602020";"Japanologie";""
+4;"602021";"602021";"Jiddistik";""
+4;"602022";"602022";"Judaistik";""
+4;"602023";"602023";"Keltologie";""
+4;"602024";"602024";"Klassische Philologie";""
+4;"602025";"602025";"Klinische Linguistik";""
+4;"602026";"602026";"Kognitive Linguistik";""
+4;"602027";"602027";"Koptologie";""
+4;"602028";"602028";"Koreanistik";""
+4;"602029";"602029";"Latinistik";""
+4;"602030";"602030";"Lexikographie";""
+4;"602031";"602031";"Literaturgeschichte";""
+4;"602032";"602032";"Mundartforschung";""
+4;"602033";"602033";"Namenforschung";""
+4;"602034";"602034";"Nederlandistik";""
+4;"602035";"602035";"Neogr�zistik";""
+4;"602036";"602036";"Neurolinguistik";""
+4;"602037";"602037";"Orientalistik";""
+4;"602038";"602038";"Phonetik";""
+4;"602039";"602039";"Phonologie";""
+4;"602040";"602040";"Psycholinguistik";""
+4;"602041";"602041";"Rhetorik";""
+4;"602042";"602042";"Romanistik";""
+4;"602043";"602043";"Semiotik";""
+4;"602044";"602044";"Semitistik";""
+4;"602045";"602045";"Sinologie";""
+4;"602046";"602046";"Skandinavistik";""
+4;"602047";"602047";"Slawistik";""
+4;"602048";"602048";"Soziolinguistik";""
+4;"602049";"602049";"Terminologielehre";""
+4;"602050";"602050";"Tibetologie";""
+4;"602051";"602051";"Translationswissenschaft";""
+4;"602052";"602052";"Turkologie";""
+4;"602053";"602053";"Vergleichende Literaturwissenschaft";""
+4;"602054";"602054";"Vergleichende Sprachwissenschaft";""
+4;"602055";"602055";"Patholinguistik";""
+4;"602056";"602056";"Altorientalistik";""
+4;"602057";"602057";"Historische Linguistik";""
+4;"602058";"602058";"Korpuslinguistik";""
+4;"602059";"602059";"Schreibwissenschaft";""
+2;"603";"603";"Philosophie, Ethik, Religion";""
+3;"6031";"6031";"Philosophie, Ethik";""
+4;"603101";"603101";"�sthetik";""
+4;"603102";"603102";"Erkenntnistheorie";""
+4;"603103";"603103";"Ethik";""
+4;"603104";"603104";"Geschichte der Philosophie";""
+4;"603105";"603105";"Geschichtsphilosophie";""
+4;"603106";"603106";"Hermeneutik";""
+4;"603107";"603107";"Ideologiekritik";""
+4;"603108";"603108";"Kulturphilosophie";""
+4;"603109";"603109";"Logik";""
+4;"603110";"603110";"Metaphysik";""
+4;"603111";"603111";"Naturphilosophie";""
+4;"603112";"603112";"Ph�nomenologie";""
+4;"603113";"603113";"Philosophie";""
+4;"603114";"603114";"Philosophie des Geistes";""
+4;"603115";"603115";"Philosophische Anthropologie";""
+4;"603116";"603116";"Politische Philosophie";""
+4;"603117";"603117";"Rechtsphilosophie";""
+4;"603118";"603118";"Religionsphilosophie";""
+4;"603119";"603119";"Sozialphilosophie";""
+4;"603120";"603120";"Sprachphilosophie";""
+4;"603121";"603121";"Staatsphilosophie";""
+4;"603122";"603122";"Technikphilosophie";""
+4;"603123";"603123";"Wissenschaftsgeschichte";""
+4;"603124";"603124";"Wissenschaftstheorie";""
+4;"603125";"603125";"Metaethik";""
+4;"603126";"603126";"Interkulturelle Philosophie";""
+3;"6032";"6032";"Theologie";""
+4;"603201";"603201";"Alttestamentliche Bibelwissenschaft";""
+4;"603202";"603202";"Christliche Arch�ologie";""
+4;"603203";"603203";"Christliche Philosophie";""
+4;"603204";"603204";"Christliche Sozialethik";""
+4;"603205";"603205";"Dogmatische Theologie";""
+4;"603206";"603206";"Fundamentaltheologie";""
+4;"603207";"603207";"Homiletik";""
+4;"603208";"603208";"Interkulturelle Theologie";""
+4;"603209";"603209";"Kanonisches Recht";""
+4;"603210";"603210";"Katechetik";""
+4;"603211";"603211";"Kirchengeschichte";""
+4;"603212";"603212";"Liturgiewissenschaft";""
+4;"603213";"603213";"Moraltheologie";""
+4;"603214";"603214";"Neutestamentliche Bibelwissenschaft";""
+4;"603215";"603215";"�kumenische Theologie";""
+4;"603216";"603216";"Pastoralpsychologie";""
+4;"603217";"603217";"Pastoraltheologie";""
+4;"603218";"603218";"Patrologie";""
+4;"603219";"603219";"Praktische Theologie";""
+4;"603220";"603220";"Seelsorge";""
+4;"603221";"603221";"Spirituelle Theologie";""
+4;"603222";"603222";"Systematische Theologie";""
+4;"603223";"603223";"Theologische Anthropologie";""
+3;"6039";"6039";"Sonstige Religion, Religionswissenschaften";""
+4;"603901";"603901";"Atheismus";""
+4;"603902";"603902";"Buddhismus";""
+4;"603903";"603903";"Exegese";""
+4;"603904";"603904";"Hinduismus";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"J�dische Religion";""
+4;"603907";"603907";"Kirchenrecht";""
+4;"603908";"603908";"Religionsgeschichte";""
+4;"603909";"603909";"Religionswissenschaft";""
+4;"603910";"603910";"Religionspsychologie";""
+2;"604";"604";"Kunstwissenschaften";""
+3;"6040";"6040";"Kunstwissenschaften";""
+4;"604001";"604001";"Angewandte Kunst";""
+4;"604002";"604002";"Architektonische Gestaltung";""
+4;"604003";"604003";"Auff�hrungspraxis";""
+4;"604004";"604004";"Bildende Kunst";""
+4;"604005";"604005";"B�hnengestaltung";""
+4;"604006";"604006";"Darstellende Kunst";""
+4;"604007";"604007";"Denkmalpflege";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusikologie";""
+4;"604010";"604010";"Filmgestaltung";""
+4;"604011";"604011";"Filmwissenschaft";""
+4;"604012";"604012";"Fotografie";""
+4;"604013";"604013";"Gartenkunst";""
+4;"604014";"604014";"Gesang";""
+4;"604015";"604015";"Industrial Design";""
+4;"604016";"604016";"Jazzforschung";""
+4;"604017";"604017";"Kirchenmusik";""
+4;"604018";"604018";"Konservierung und Restaurierung";""
+4;"604019";"604019";"Kunstgeschichte";""
+4;"604020";"604020";"Kunsttheorie";""
+4;"604021";"604021";"Medienkunst";""
+4;"604022";"604022";"Musikgeschichte";""
+4;"604023";"604023";"Musiktheorie";""
+4;"604024";"604024";"Musikwissenschaft";""
+4;"604025";"604025";"Popularmusikforschung";""
+4;"604026";"604026";"Raumkunst";""
+4;"604027";"604027";"Szenographie";""
+4;"604028";"604028";"Tanzwissenschaft";""
+4;"604029";"604029";"Theaterwissenschaft";""
+4;"604030";"604030";"Volksmusikforschung";""
+4;"604031";"604031";"Historische Technologie";""
+4;"604032";"604032";"Instrumentalstudien";""
+4;"604033";"604033";"Komposition";""
+4;"604034";"604034";"Musiktheater";""
+4;"604035";"604035";"Orgelforschung";""
+4;"604036";"604036";"Provenienzforschung";""
+4;"604037";"604037";"Sammlungspflege";""
+4;"604038";"604038";"Digitale Kunst";""
+4;"604039";"604039";"Computermusik";""
+4;"604040";"604040";"Interpretationsforschung";""
+4;"604041";"604041";"Modedesign";""
+2;"605";"605";"Andere Geisteswissenschaften";""
+3;"6050";"6050";"Andere Geisteswissenschaften";""
+4;"605001";"605001";"Geschichte der Geisteswissenschaften";""
+4;"605002";"605002";"Kulturgeschichte";""
+4;"605003";"605003";"Kultur�konomie";""
+4;"605004";"605004";"Kulturwissenschaft";""
+4;"605005";"605005";"Publikumsforschung";""
+4;"605006";"605006";"Kulturmanagement";""
+4;"605007";"605007";"Digital Humanities";""
+4;"605008";"605008";"Kulturerbe";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_EN_CTI_20171007_030427.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_EN_CTI_20171007_030427.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5148017ba5cdfe9b5776ba4aad295b0706c3a38b
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_EN_CTI_20171007_030427.txt
@@ -0,0 +1,1420 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURAL SCIENCES";""
+2;"101";"101";"Mathematics";""
+3;"1010";"1010";"Mathematics";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Applied geometry";""
+4;"101004";"101004";"Biomathematics";""
+4;"101005";"101005";"Computer algebra";""
+4;"101006";"101006";"Differential geometry";""
+4;"101007";"101007";"Financial mathematics";""
+4;"101008";"101008";"Complex analysis";""
+4;"101009";"101009";"Geometry";""
+4;"101010";"101010";"History of mathematics";""
+4;"101011";"101011";"Graph theory";""
+4;"101012";"101012";"Combinatorics";""
+4;"101013";"101013";"Mathematical logic";""
+4;"101014";"101014";"Numerical mathematics";""
+4;"101015";"101015";"Operations research";""
+4;"101016";"101016";"Optimisation";""
+4;"101017";"101017";"Game theory";""
+4;"101018";"101018";"Statistics";""
+4;"101019";"101019";"Stochastics";""
+4;"101020";"101020";"Technical mathematics";""
+4;"101021";"101021";"Theoretical cybernetics";""
+4;"101022";"101022";"Topology";""
+4;"101023";"101023";"Actuarial mathematics";""
+4;"101024";"101024";"Probability theory";""
+4;"101025";"101025";"Number theory";""
+4;"101026";"101026";"Time series analysis";""
+4;"101027";"101027";"Dynamical systems";""
+4;"101028";"101028";"Mathematical modelling";""
+4;"101029";"101029";"Mathematical statistics";""
+4;"101030";"101030";"Reliability theory";""
+4;"101031";"101031";"Approximation theory";""
+4;"101032";"101032";"Functional analysis";""
+2;"102";"102";"Computer Sciences";""
+3;"1020";"1020";"Computer Sciences";""
+4;"102001";"102001";"Artificial intelligence";""
+4;"102002";"102002";"Augmented reality";""
+4;"102003";"102003";"Image processing";""
+4;"102004";"102004";"Bioinformatics";""
+4;"102005";"102005";"Computer aided design (CAD)";""
+4;"102006";"102006";"Computer supported cooperative work (CSCW)";""
+4;"102007";"102007";"Computer animation";""
+4;"102008";"102008";"Computer graphics";""
+4;"102009";"102009";"Computer simulation";""
+4;"102010";"102010";"Database systems";""
+4;"102011";"102011";"Formal languages";""
+4;"102012";"102012";"History of computer science";""
+4;"102013";"102013";"Human-computer interaction";""
+4;"102014";"102014";"Information design";""
+4;"102015";"102015";"Information systems";""
+4;"102016";"102016";"IT security";""
+4;"102017";"102017";"Cryptology";""
+4;"102018";"102018";"Artificial neural networks";""
+4;"102019";"102019";"Machine learning";""
+4;"102020";"102020";"Medical informatics";""
+4;"102021";"102021";"Pervasive computing";""
+4;"102022";"102022";"Software development";""
+4;"102023";"102023";"Supercomputing";""
+4;"102024";"102024";"Usability research";""
+4;"102025";"102025";"Distributed systems";""
+4;"102026";"102026";"Virtual reality";""
+4;"102027";"102027";"Web engineering";""
+4;"102028";"102028";"Knowledge engineering";""
+4;"102029";"102029";"Practical computer science";""
+4;"102030";"102030";"Semantic technologies";""
+4;"102031";"102031";"Theoretical computer science";""
+4;"102032";"102032";"Computational intelligence";""
+4;"102033";"102033";"Data mining";""
+2;"103";"103";"Physics, Astronomy";""
+3;"1030";"1030";"Physics, Astronomy";""
+4;"103001";"103001";"Aerodynamics";""
+4;"103002";"103002";"Acoustics";""
+4;"103003";"103003";"Astronomy";""
+4;"103004";"103004";"Astrophysics";""
+4;"103005";"103005";"Atomic physics";""
+4;"103006";"103006";"Chemical physics";""
+4;"103007";"103007";"Dosimetry";""
+4;"103008";"103008";"Experimental physics";""
+4;"103009";"103009";"Solid state physics";""
+4;"103010";"103010";"History of physics";""
+4;"103011";"103011";"Semiconductor physics";""
+4;"103012";"103012";"High energy physics";""
+4;"103013";"103013";"Ion physics";""
+4;"103014";"103014";"Nuclear physics";""
+4;"103015";"103015";"Condensed matter";""
+4;"103016";"103016";"Laser physics";""
+4;"103017";"103017";"Magnetism";""
+4;"103018";"103018";"Materials physics";""
+4;"103019";"103019";"Mathematical physics";""
+4;"103020";"103020";"Surface physics";""
+4;"103021";"103021";"Optics";""
+4;"103022";"103022";"Plasma physics";""
+4;"103023";"103023";"Polymer physics";""
+4;"103024";"103024";"Quantum field theory";""
+4;"103025";"103025";"Quantum mechanics";""
+4;"103026";"103026";"Quantum optics";""
+4;"103027";"103027";"Reactor physics";""
+4;"103028";"103028";"Theory of relativity";""
+4;"103029";"103029";"Statistical physics";""
+4;"103030";"103030";"Radiation physics";""
+4;"103031";"103031";"Radiation protection";""
+4;"103032";"103032";"Fluid mechanics";""
+4;"103033";"103033";"Superconductivity";""
+4;"103034";"103034";"Particle physics";""
+4;"103035";"103035";"Theoretical mechanics";""
+4;"103036";"103036";"Theoretical physics";""
+4;"103037";"103037";"Environmental physics";""
+4;"103038";"103038";"Space exploration";""
+4;"103039";"103039";"Aerosol physics";""
+4;"103040";"103040";"Photonics";""
+4;"103041";"103041";"Astroparticle physics";""
+4;"103042";"103042";"Electron microscopy";""
+2;"104";"104";"Chemistry";""
+3;"1040";"1040";"Chemistry";""
+4;"104001";"104001";"General chemistry";""
+4;"104002";"104002";"Analytical chemistry";""
+4;"104003";"104003";"Inorganic chemistry";""
+4;"104004";"104004";"Chemical biology";""
+4;"104005";"104005";"Electrochemistry";""
+4;"104006";"104006";"Solid state chemistry";""
+4;"104007";"104007";"History of chemistry";""
+4;"104008";"104008";"Catalysis";""
+4;"104009";"104009";"Food chemistry";""
+4;"104010";"104010";"Macromolecular chemistry";""
+4;"104011";"104011";"Materials chemistry";""
+4;"104012";"104012";"Microanalysis";""
+4;"104013";"104013";"Natural product chemistry";""
+4;"104014";"104014";"Surface chemistry";""
+4;"104015";"104015";"Organic chemistry";""
+4;"104016";"104016";"Photochemistry";""
+4;"104017";"104017";"Physical chemistry";""
+4;"104018";"104018";"Polymer chemistry";""
+4;"104019";"104019";"Polymer sciences";""
+4;"104020";"104020";"Radiochemistry";""
+4;"104021";"104021";"Structural chemistry";""
+4;"104022";"104022";"Theoretical chemistry";""
+4;"104023";"104023";"Environmental chemistry";""
+4;"104024";"104024";"X-ray structural analysis";""
+4;"104025";"104025";"Single-molecule chemistry";""
+4;"104026";"104026";"Spectroscopy";""
+2;"105";"105";"Geosciences";""
+3;"1051";"1051";"Geology, Mineralogy";""
+4;"105101";"105101";"General geology";""
+4;"105102";"105102";"General geophysics";""
+4;"105103";"105103";"Petroleum geology";""
+4;"105104";"105104";"Erosion";""
+4;"105105";"105105";"Geochemistry";""
+4;"105106";"105106";"Geodynamics";""
+4;"105107";"105107";"Geoelectrics";""
+4;"105108";"105108";"Geostatistics";""
+4;"105109";"105109";"Geothermics";""
+4;"105110";"105110";"History of geology";""
+4;"105111";"105111";"Gravimetry";""
+4;"105112";"105112";"Historical geology";""
+4;"105113";"105113";"Crystallography";""
+4;"105114";"105114";"Cultural geology";""
+4;"105115";"105115";"Magnetics";""
+4;"105116";"105116";"Mineralogy";""
+4;"105117";"105117";"Palaeobotany";""
+4;"105118";"105118";"Palaeontology";""
+4;"105119";"105119";"Petrography";""
+4;"105120";"105120";"Petrology";""
+4;"105121";"105121";"Sedimentology";""
+4;"105122";"105122";"Seismic";""
+4;"105123";"105123";"Stratigraphy";""
+4;"105124";"105124";"Tectonics";""
+4;"105125";"105125";"Petrophysics";""
+4;"105126";"105126";"Applied geophysics";""
+4;"105127";"105127";"Geochronology";""
+4;"105128";"105128";"Geomicrobiology";""
+3;"1052";"1052";"Meteorology, Climatology";""
+4;"105201";"105201";"Aeronomy";""
+4;"105202";"105202";"Agricultural meteorology";""
+4;"105203";"105203";"Bioclimatology";""
+4;"105204";"105204";"Climatology";""
+4;"105205";"105205";"Climate change";""
+4;"105206";"105206";"Meteorology";""
+4;"105207";"105207";"Mountain meteorology";""
+4;"105208";"105208";"Atmospheric chemistry";""
+3;"1053";"1053";"Hydrology";""
+4;"105301";"105301";"Water protection";""
+4;"105302";"105302";"Hydrochemistry";""
+4;"105303";"105303";"Hydrogeology";""
+4;"105304";"105304";"Hydrology";""
+4;"105305";"105305";"Hydrometry";""
+4;"105306";"105306";"Oceanography";""
+4;"105307";"105307";"Water quality";""
+4;"105308";"105308";"Water resources";""
+3;"1054";"1054";"Physical Geography";""
+4;"105401";"105401";"Biogeography";""
+4;"105402";"105402";"Soil geography";""
+4;"105403";"105403";"Geoinformatics";""
+4;"105404";"105404";"Geomorphology";""
+4;"105405";"105405";"Geoecology";""
+4;"105406";"105406";"History of geography";""
+4;"105407";"105407";"Cartography";""
+4;"105408";"105408";"Physical geography";""
+4;"105409";"105409";"Topography";""
+3;"1059";"1059";"Interdisciplinary Geosciences not elsewhere classified";""
+4;"105901";"105901";"Glaciology";""
+4;"105902";"105902";"Natural hazards";""
+4;"105903";"105903";"Speleology";""
+4;"105904";"105904";"Environmental research";""
+4;"105905";"105905";"Environmental protection";""
+4;"105906";"105906";"Environmental geosciences";""
+4;"105907";"105907";"Polar research";""
+2;"106";"106";"Biology";""
+3;"1060";"1060";"Biology";""
+4;"106001";"106001";"General biology";""
+4;"106002";"106002";"Biochemistry";""
+4;"106003";"106003";"Biodiversity research";""
+4;"106004";"106004";"Bioethics";""
+4;"106005";"106005";"Bioinformatics";""
+4;"106006";"106006";"Biophysics";""
+4;"106007";"106007";"Biostatistics";""
+4;"106008";"106008";"Botany";""
+4;"106009";"106009";"Chronobiology";""
+4;"106010";"106010";"Developmental biology";""
+4;"106011";"106011";"Alternatives to animal testing";""
+4;"106012";"106012";"Evolutionary research";""
+4;"106013";"106013";"Genetics";""
+4;"106014";"106014";"Genomics";""
+4;"106015";"106015";"Geobotany";""
+4;"106016";"106016";"History of biology";""
+4;"106017";"106017";"Glycobiology";""
+4;"106018";"106018";"Human biology";""
+4;"106019";"106019";"Hydrobiology";""
+4;"106020";"106020";"Limnology";""
+4;"106021";"106021";"Marine biology";""
+4;"106022";"106022";"Microbiology";""
+4;"106023";"106023";"Molecular biology";""
+4;"106024";"106024";"Mycology";""
+4;"106025";"106025";"Neurobiology";""
+4;"106026";"106026";"Ecosystem research";""
+4;"106027";"106027";"Ecotoxicology";""
+4;"106028";"106028";"Plant anatomy";""
+4;"106029";"106029";"Plant morphology";""
+4;"106030";"106030";"Plant ecology";""
+4;"106031";"106031";"Plant physiology";""
+4;"106032";"106032";"Photobiology";""
+4;"106033";"106033";"Phylogeny";""
+4;"106034";"106034";"Phytochemistry";""
+4;"106035";"106035";"Phytogeography";""
+4;"106036";"106036";"Population genetics";""
+4;"106037";"106037";"Proteomics";""
+4;"106038";"106038";"Reproductive biology";""
+4;"106039";"106039";"Stem cell research";""
+4;"106040";"106040";"Radiation biology";""
+4;"106041";"106041";"Structural biology";""
+4;"106042";"106042";"Systematic botany";""
+4;"106043";"106043";"Systematic zoology";""
+4;"106044";"106044";"Systems biology";""
+4;"106045";"106045";"Theoretical biology";""
+4;"106046";"106046";"Animal anatomy";""
+4;"106047";"106047";"Animal ecology";""
+4;"106048";"106048";"Animal physiology";""
+4;"106049";"106049";"Ultrastructure research";""
+4;"106050";"106050";"Vegetation science";""
+4;"106051";"106051";"Behavioural biology";""
+4;"106052";"106052";"Cell biology";""
+4;"106053";"106053";"Zoogeography";""
+4;"106054";"106054";"Zoology";""
+4;"106055";"106055";"Aerobiology";""
+4;"106056";"106056";"Biological anthropology";""
+4;"106057";"106057";"Metabolomics";""
+2;"107";"107";"Other Natural Sciences";""
+3;"1070";"1070";"Other Natural Sciences";""
+4;"107001";"107001";"Archaeometry";""
+4;"107002";"107002";"Bionics";""
+4;"107003";"107003";"History of natural sciences";""
+4;"107004";"107004";"Human ecology";""
+4;"107005";"107005";"Food testing";""
+4;"107006";"107006";"Nature conservation";""
+4;"107007";"107007";"Risk research";""
+1;"2";"2";"TECHNICAL SCIENCES";""
+2;"201";"201";"Construction Engineering";""
+3;"2011";"2011";"Civil Engineering";""
+4;"201101";"201101";"Construction operation";""
+4;"201102";"201102";"Structural dynamics";""
+4;"201103";"201103";"Building physics";""
+4;"201104";"201104";"Structural analysis";""
+4;"201105";"201105";"Construction material practice";""
+4;"201106";"201106";"Structural engineering";""
+4;"201107";"201107";"Endurance strength";""
+4;"201108";"201108";"Fracture mechanics";""
+4;"201109";"201109";"Bridge construction";""
+4;"201110";"201110";"Strength of materials";""
+4;"201111";"201111";"River engineering";""
+4;"201112";"201112";"Building construction";""
+4;"201113";"201113";"Timber engineering";""
+4;"201114";"201114";"Industrial building";""
+4;"201115";"201115";"Structural hydraulic engineering";""
+4;"201116";"201116";"Agricultural civil engineering";""
+4;"201117";"201117";"Lightweight design";""
+4;"201118";"201118";"Urban water supply and sanitation";""
+4;"201119";"201119";"Steel construction";""
+4;"201120";"201120";"Reinforced concrete construction";""
+4;"201121";"201121";"Road construction";""
+4;"201122";"201122";"Technical flood protection";""
+4;"201123";"201123";"Underground engineering";""
+4;"201124";"201124";"Structural design";""
+4;"201125";"201125";"Hydraulic engineering";""
+4;"201126";"201126";"Hydropower plant construction";""
+4;"201127";"201127";"Torrent and avalanche control";""
+4;"201128";"201128";"Sustainable building";""
+4;"201129";"201129";"Earthquake engineering";""
+4;"201130";"201130";"Structural glass construction";""
+3;"2012";"2012";"Architecture";""
+4;"201201";"201201";"History of architecture";""
+4;"201202";"201202";"Architectural modelling";""
+4;"201203";"201203";"Architectural theory";""
+4;"201204";"201204";"Barrier-free building";""
+4;"201205";"201205";"Building research";""
+4;"201206";"201206";"Designing";""
+4;"201207";"201207";"Building typology";""
+4;"201208";"201208";"Industrial architecture";""
+4;"201209";"201209";"Interior design";""
+4;"201210";"201210";"Landscape architecture";""
+4;"201211";"201211";"Solar architecture";""
+4;"201212";"201212";"Urban design";""
+4;"201213";"201213";"Housing";""
+4;"201214";"201214";"Experimental architecture";""
+4;"201215";"201215";"Building cultural heritage";""
+3;"2013";"2013";"Transportation";""
+4;"201301";"201301";"Railway construction";""
+4;"201302";"201302";"Railway engineering";""
+4;"201303";"201303";"Ropeways";""
+4;"201304";"201304";"Road construction";""
+4;"201305";"201305";"Traffic engineering";""
+4;"201306";"201306";"Traffic telematics";""
+4;"201307";"201307";"Transport economics";""
+3;"2019";"2019";"Construction Engineering not elsewhere classified";""
+4;"201901";"201901";"Old building renovation";""
+4;"201902";"201902";"Building ecology";""
+4;"201903";"201903";"Soil bioengineering";""
+4;"201904";"201904";"Vegetation technology";""
+4;"201905";"201905";"Building within existing structures";""
+4;"201906";"201906";"Building-integrated vegetation";""
+2;"202";"202";"Electrical Engineering, Electronics, Information Engineering";""
+3;"2020";"2020";"Electrical Engineering, Electronics, Information Engineering";""
+4;"202001";"202001";"Audio technology";""
+4;"202002";"202002";"Audiovisual media";""
+4;"202003";"202003";"Automation";""
+4;"202004";"202004";"Brain-computer interface";""
+4;"202005";"202005";"Computer architecture";""
+4;"202006";"202006";"Computer hardware";""
+4;"202007";"202007";"Computer integrated manufacturing (CIM)";""
+4;"202008";"202008";"Electrical power systems";""
+4;"202009";"202009";"Electrical drive engineering";""
+4;"202010";"202010";"Electric power engineering";""
+4;"202011";"202011";"Electrical machines";""
+4;"202012";"202012";"Electrical measurement technology";""
+4;"202013";"202013";"Electromagnetic compatibility";""
+4;"202014";"202014";"Electromagnetism";""
+4;"202015";"202015";"Electronics";""
+4;"202016";"202016";"Electrical engineering";""
+4;"202017";"202017";"Embedded systems";""
+4;"202018";"202018";"Semiconductor electronics";""
+4;"202019";"202019";"High frequency engineering";""
+4;"202020";"202020";"High voltage engineering";""
+4;"202021";"202021";"Industrial electronics";""
+4;"202022";"202022";"Information technology";""
+4;"202023";"202023";"Integrated circuits";""
+4;"202024";"202024";"Laser technology";""
+4;"202025";"202025";"Power electronics";""
+4;"202026";"202026";"Light technology";""
+4;"202027";"202027";"Mechatronics";""
+4;"202028";"202028";"Microelectronics";""
+4;"202029";"202029";"Microwave engineering";""
+4;"202030";"202030";"Communication engineering";""
+4;"202031";"202031";"Network engineering";""
+4;"202032";"202032";"Photovoltaics";""
+4;"202033";"202033";"Radar technology";""
+4;"202034";"202034";"Control engineering";""
+4;"202035";"202035";"Robotics";""
+4;"202036";"202036";"Sensor systems";""
+4;"202037";"202037";"Signal processing";""
+4;"202038";"202038";"Telecommunications";""
+4;"202039";"202039";"Theoretical electrical engineering";""
+4;"202040";"202040";"Transmission technology";""
+4;"202041";"202041";"Computer engineering";""
+4;"202042";"202042";"Optical communication engineering";""
+2;"203";"203";"Mechanical Engineering";""
+3;"2030";"2030";"Mechanical Engineering";""
+4;"203001";"203001";"Apparatus engineering";""
+4;"203002";"203002";"Endurance strength";""
+4;"203003";"203003";"Fracture mechanics";""
+4;"203004";"203004";"Automotive technology";""
+4;"203005";"203005";"Precision engineering";""
+4;"203006";"203006";"Production engineering";""
+4;"203007";"203007";"Strength of materials";""
+4;"203008";"203008";"Conveyor technology";""
+4;"203009";"203009";"Refrigeration engineering";""
+4;"203010";"203010";"Air conditioning technology";""
+4;"203011";"203011";"Lightweight design";""
+4;"203012";"203012";"Aerospace engineering";""
+4;"203013";"203013";"Mechanical engineering";""
+4;"203014";"203014";"Machine dynamics";""
+4;"203015";"203015";"Mechatronics";""
+4;"203016";"203016";"Measurement engineering";""
+4;"203017";"203017";"Micromechanics";""
+4;"203018";"203018";"Heavy machinery construction";""
+4;"203019";"203019";"Reactor technology";""
+4;"203020";"203020";"Welding engineering";""
+4;"203021";"203021";"Fluid-flow machinery";""
+4;"203022";"203022";"Technical mechanics";""
+4;"203023";"203023";"Thermal turbomachinery";""
+4;"203024";"203024";"Thermodynamics";""
+4;"203025";"203025";"Tribology";""
+4;"203026";"203026";"Forming";""
+4;"203027";"203027";"Internal combustion engines";""
+4;"203028";"203028";"Thermal engineering";""
+4;"203029";"203029";"Tool construction";""
+4;"203030";"203030";"Fuel cell technology";""
+4;"203031";"203031";"Engineering design";""
+4;"203032";"203032";"Additive manufacturing";""
+4;"203033";"203033";"Hydraulic drive technology";""
+4;"203034";"203034";"Continuum mechanics";""
+4;"203035";"203035";"Thermal processing technology";""
+4;"203036";"203036";"Weapons and munitions technology";""
+2;"204";"204";"Chemical Process Engineering";""
+3;"2040";"2040";"Chemical Process Engineering";""
+4;"204001";"204001";"Inorganic chemical technology";""
+4;"204002";"204002";"Chemical reaction engineering";""
+4;"204003";"204003";"Chemical process engineering";""
+4;"204004";"204004";"Organic chemical technology";""
+4;"204005";"204005";"Refining technology";""
+4;"204006";"204006";"Mechanical process engineering";""
+4;"204007";"204007";"Thermal process engineering";""
+2;"205";"205";"Materials Engineering";""
+3;"2050";"2050";"Materials Engineering";""
+4;"205001";"205001";"Building materials testing";""
+4;"205002";"205002";"Coating technology";""
+4;"205003";"205003";"Refractories";""
+4;"205004";"205004";"Functional materials";""
+4;"205005";"205005";"Ceramics engineering";""
+4;"205006";"205006";"Wood research";""
+4;"205007";"205007";"Wood preservatives";""
+4;"205008";"205008";"Wood technology";""
+4;"205009";"205009";"Ceramic materials";""
+4;"205010";"205010";"Anticorrosives";""
+4;"205011";"205011";"Polymer engineering";""
+4;"205012";"205012";"Polymer processing";""
+4;"205013";"205013";"Failure analysis";""
+4;"205014";"205014";"Textile technology";""
+4;"205015";"205015";"Composites";""
+4;"205016";"205016";"Materials testing";""
+4;"205017";"205017";"Materials engineering";""
+4;"205018";"205018";"Pulp and paper technology";""
+4;"205019";"205019";"Material sciences";""
+2;"206";"206";"Medical Engineering";""
+3;"2060";"2060";"Medical Engineering";""
+4;"206001";"206001";"Biomedical engineering";""
+4;"206002";"206002";"Electro-medical engineering";""
+4;"206003";"206003";"Medical physics";""
+4;"206004";"206004";"Medical engineering";""
+4;"206005";"206005";"Prosthetics";""
+4;"206006";"206006";"Rehabilitation technology";""
+2;"207";"207";"Environmental Engineering, Applied Geosciences";""
+3;"2071";"2071";"Environmental Engineering";""
+4;"207101";"207101";"Waste engineering";""
+4;"207102";"207102";"Exhaust air purification";""
+4;"207103";"207103";"Wastewater treatment";""
+4;"207104";"207104";"Remediation of contaminated sites";""
+4;"207105";"207105";"Landfill technology";""
+4;"207106";"207106";"Renewable energy";""
+4;"207107";"207107";"Air pollution control";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Pollutant emission";""
+4;"207110";"207110";"Technical environmental protection";""
+4;"207111";"207111";"Environmental engineering";""
+4;"207112";"207112";"Water treatment";""
+4;"207113";"207113";"Water infrastructure";""
+4;"207114";"207114";"Water management";""
+3;"2072";"2072";"Engineering Geology, Geotechnics";""
+4;"207201";"207201";"Soil mechanics";""
+4;"207202";"207202";"Earthworks";""
+4;"207203";"207203";"Rock mechanics";""
+4;"207204";"207204";"Geotechnics";""
+4;"207205";"207205";"Foundation engineering";""
+4;"207206";"207206";"Engineering geology";""
+4;"207207";"207207";"Tunnelling";""
+4;"207208";"207208";"Tunnel ventilation";""
+3;"2073";"2073";"Mining, Petroleum Engineering";""
+4;"207301";"207301";"Processing of mineral raw materials";""
+4;"207302";"207302";"Mining engineering";""
+4;"207303";"207303";"Mining damage";""
+4;"207304";"207304";"Natural gas production";""
+4;"207305";"207305";"Natural gas engineering";""
+4;"207306";"207306";"Petroleum geology";""
+4;"207307";"207307";"Petroleum production";""
+4;"207308";"207308";"Petroleum engineering";""
+4;"207309";"207309";"History of mining";""
+4;"207310";"207310";"Extraction of mineral raw materials";""
+4;"207311";"207311";"Economic geology";""
+4;"207312";"207312";"Mine surveying";""
+4;"207313";"207313";"Drilling engineering";""
+4;"207314";"207314";"Underground mining";""
+3;"2074";"2074";"Geodesy, Surveying";""
+4;"207401";"207401";"3D-surveying";""
+4;"207402";"207402";"Remote sensing";""
+4;"207403";"207403";"Geodesy";""
+4;"207404";"207404";"Geoinformatics";""
+4;"207405";"207405";"Engineering geodesy";""
+4;"207406";"207406";"Cartography";""
+4;"207407";"207407";"Cadastral surveying";""
+4;"207408";"207408";"Land surveying";""
+4;"207409";"207409";"Navigation systems";""
+4;"207410";"207410";"Photogrammetry";""
+4;"207411";"207411";"Satellite geodesy";""
+4;"207412";"207412";"Satellite-based coordinate measuring";""
+4;"207413";"207413";"Surveying";""
+3;"2079";"2079";"Environmental Engineering, Applied Geosciences not elsewhere classified";""
+4;"207901";"207901";"Offshore technology";""
+2;"208";"208";"Environmental Biotechnology";""
+3;"2080";"2080";"Environmental Biotechnology";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Environmental biotechnology related ethics";""
+4;"208003";"208003";"Environmental biotechnology";""
+2;"209";"209";"Industrial Biotechnology";""
+3;"2090";"2090";"Industrial Biotechnology";""
+4;"209001";"209001";"Biocatalysis";""
+4;"209002";"209002";"Bioprocess technology";""
+4;"209003";"209003";"Biofuels";""
+4;"209004";"209004";"Enzyme technology";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrial biotechnology";""
+2;"210";"210";"Nanotechnology";""
+3;"2100";"2100";"Nanotechnology";""
+4;"210001";"210001";"Nanoanalytics";""
+4;"210002";"210002";"Nanobiotechnology";""
+4;"210003";"210003";"Nanoelectronics";""
+4;"210004";"210004";"Nanomaterials";""
+4;"210005";"210005";"Nanophotonics";""
+4;"210006";"210006";"Nanotechnology";""
+2;"211";"211";"Other Technical Sciences";""
+3;"2111";"2111";"Metallurgy";""
+4;"211101";"211101";"Iron and steel metallurgy";""
+4;"211102";"211102";"Casting technology";""
+4;"211103";"211103";"Physical metallurgy";""
+4;"211104";"211104";"Metallurgy";""
+4;"211105";"211105";"Nonferrous metallurgy";""
+4;"211106";"211106";"Light metals";""
+4;"211107";"211107";"Secondary metallurgy";""
+3;"2112";"2112";"Food Technology";""
+4;"211201";"211201";"Grain technology";""
+4;"211202";"211202";"Food technology";""
+4;"211203";"211203";"Food processing engineering";""
+4;"211204";"211204";"Meat technology";""
+3;"2119";"2119";"Technical Sciences not elsewhere classified";""
+4;"211901";"211901";"Waste prevention";""
+4;"211902";"211902";"Assistive technologies";""
+4;"211903";"211903";"Science of management";""
+4;"211904";"211904";"Biomechanics";""
+4;"211905";"211905";"Bionics";""
+4;"211906";"211906";"Fire protection";""
+4;"211907";"211907";"Energy saving";""
+4;"211908";"211908";"Energy research";""
+4;"211909";"211909";"Energy technology";""
+4;"211910";"211910";"Noise protection";""
+4;"211911";"211911";"Sustainable technologies";""
+4;"211912";"211912";"Product design";""
+4;"211913";"211913";"Quality assurance";""
+4;"211914";"211914";"Risk research";""
+4;"211915";"211915";"Solar technology";""
+4;"211916";"211916";"Blasting engineering";""
+4;"211917";"211917";"Technology assessment";""
+4;"211918";"211918";"Technical history";""
+4;"211919";"211919";"Thermography";""
+4;"211920";"211920";"Packaging technology";""
+4;"211921";"211921";"Civil protection and disaster control";""
+4;"211922";"211922";"Energy storage";""
+4;"211923";"211923";"Factory planning";""
+4;"211924";"211924";"Process and plant safety";""
+1;"3";"3";"HUMAN MEDICINE, HEALTH SCIENCES";""
+2;"301";"301";"Medical-Theoretical Sciences, Pharmacy";""
+3;"3011";"3011";"Anatomy, Pathology, Physiology";""
+4;"301101";"301101";"General pathology";""
+4;"301102";"301102";"Anatomy";""
+4;"301103";"301103";"Medical diagnostics";""
+4;"301104";"301104";"Embryology";""
+4;"301105";"301105";"Experimental pathology";""
+4;"301106";"301106";"Functional anatomy";""
+4;"301107";"301107";"Histology";""
+4;"301108";"301108";"Molecular pathology";""
+4;"301109";"301109";"Pathophysiology";""
+4;"301110";"301110";"Physiology";""
+4;"301111";"301111";"Radiologic anatomy";""
+4;"301112";"301112";"Systematic anatomy";""
+4;"301113";"301113";"Topographic anatomy";""
+4;"301114";"301114";"Cell biology";""
+3;"3012";"3012";"Pharmacy, Pharmacology, Toxicology";""
+4;"301201";"301201";"Pharmaceutical and drug analysis";""
+4;"301202";"301202";"History of pharmacy";""
+4;"301203";"301203";"Pharmacodynamics";""
+4;"301204";"301204";"Pharmacognosy";""
+4;"301205";"301205";"Pharmacokinetics";""
+4;"301206";"301206";"Pharmacology";""
+4;"301207";"301207";"Pharmaceutical chemistry";""
+4;"301208";"301208";"Pharmaceutical technology";""
+4;"301209";"301209";"Pharmacy";""
+4;"301210";"301210";"Psychopharmacology";""
+4;"301211";"301211";"Toxicology";""
+4;"301212";"301212";"Clinical pharmacy";""
+4;"301213";"301213";"Drug targeting";""
+3;"3013";"3013";"Medical Biochemistry, Human Genetics";""
+4;"301301";"301301";"Human genetics";""
+4;"301302";"301302";"Lipidomics research";""
+4;"301303";"301303";"Medical biochemistry";""
+4;"301304";"301304";"Medical biology";""
+4;"301305";"301305";"Medical chemistry";""
+4;"301306";"301306";"Medical molecular biology";""
+4;"301307";"301307";"Cytogenetics";""
+3;"3014";"3014";"Neurosciences";""
+4;"301401";"301401";"Brain research";""
+4;"301402";"301402";"Neurobiology";""
+4;"301403";"301403";"Neurochemistry";""
+4;"301404";"301404";"Neuroimmunology";""
+4;"301405";"301405";"Neuropathology";""
+4;"301406";"301406";"Neuropharmacology";""
+4;"301407";"301407";"Neurophysiology";""
+4;"301408";"301408";"Psychophysiology";""
+4;"301409";"301409";"Neuroanatomy";""
+3;"3019";"3019";"Medical-Theoretical Sciences not elsewhere classified";""
+4;"301901";"301901";"Blood group serology";""
+4;"301902";"301902";"Immunology";""
+4;"301903";"301903";"Vaccine development";""
+4;"301904";"301904";"Cancer research";""
+4;"301905";"301905";"Psychoneuroimmunology";""
+4;"301906";"301906";"Serology";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Clinical Medicine";""
+3;"3020";"3020";"Clinical Medicine";""
+4;"302001";"302001";"Acupuncture";""
+4;"302002";"302002";"Allergology";""
+4;"302003";"302003";"General surgery";""
+4;"302004";"302004";"Anaesthesiology";""
+4;"302005";"302005";"Andrology";""
+4;"302006";"302006";"Angiology";""
+4;"302007";"302007";"Ophthalmology";""
+4;"302008";"302008";"Balneology";""
+4;"302009";"302009";"Chemotherapy";""
+4;"302010";"302010";"Computed tomography (CT)";""
+4;"302011";"302011";"Dermatology";""
+4;"302012";"302012";"Diabetology";""
+4;"302013";"302013";"Medical diagnostics";""
+4;"302014";"302014";"Endocrinology";""
+4;"302015";"302015";"Experimental surgery";""
+4;"302016";"302016";"Gastroenterology";""
+4;"302017";"302017";"Obstetrics";""
+4;"302018";"302018";"Vascular surgery";""
+4;"302019";"302019";"Geriatrics";""
+4;"302020";"302020";"Gerontology";""
+4;"302021";"302021";"History of psychiatry";""
+4;"302022";"302022";"Gynaecology";""
+4;"302023";"302023";"Ear, nose and throat medicine";""
+4;"302024";"302024";"Haematology";""
+4;"302025";"302025";"Hepatology";""
+4;"302026";"302026";"Heart surgery";""
+4;"302027";"302027";"Hearing, voice and language disorders";""
+4;"302028";"302028";"Hyperbaric medicine";""
+4;"302029";"302029";"Implantology";""
+4;"302030";"302030";"Internal medicine";""
+4;"302031";"302031";"Intensive care medicine";""
+4;"302032";"302032";"Cardiology";""
+4;"302033";"302033";"Jaw surgery";""
+4;"302034";"302034";"Orthodontics";""
+4;"302035";"302035";"Paediatrics and adolescent medicine";""
+4;"302036";"302036";"Child and adolescent psychiatry";""
+4;"302037";"302037";"Paediatric surgery";""
+4;"302038";"302038";"Clinical neuropsychology";""
+4;"302039";"302039";"Complementary medicine";""
+4;"302040";"302040";"Laboratory diagnostics";""
+4;"302041";"302041";"Laser surgery";""
+4;"302042";"302042";"Logopedics";""
+4;"302043";"302043";"Magnetic resonance imaging (MRI)";""
+4;"302044";"302044";"Medical physics";""
+4;"302045";"302045";"Medical psychology";""
+4;"302046";"302046";"Medical psychotherapy";""
+4;"302047";"302047";"Microsurgery";""
+4;"302048";"302048";"Minimally invasive surgery";""
+4;"302049";"302049";"Neonatology";""
+4;"302050";"302050";"Nephrology";""
+4;"302051";"302051";"Neurosurgery";""
+4;"302052";"302052";"Neurology";""
+4;"302053";"302053";"Emergency medicine";""
+4;"302054";"302054";"Nuclear medicine";""
+4;"302055";"302055";"Oncology";""
+4;"302056";"302056";"Oncological surgery";""
+4;"302057";"302057";"Orthopaedics";""
+4;"302058";"302058";"Palliative medicine";""
+4;"302059";"302059";"Periodontology";""
+4;"302060";"302060";"Perinatology";""
+4;"302061";"302061";"Physical medicine";""
+4;"302062";"302062";"Plastic and reconstructive surgery";""
+4;"302063";"302063";"Multiple trauma care";""
+4;"302064";"302064";"Prenatal diagnostics";""
+4;"302065";"302065";"Clinical psychiatry";""
+4;"302066";"302066";"Psychopathology";""
+4;"302067";"302067";"Psychosomatics";""
+4;"302068";"302068";"Pulmology";""
+4;"302069";"302069";"Radiosurgery";""
+4;"302070";"302070";"Radiodiagnostics";""
+4;"302071";"302071";"Radiology";""
+4;"302072";"302072";"Rheumatology";""
+4;"302073";"302073";"Sleep medicine";""
+4;"302074";"302074";"Pain medicine";""
+4;"302075";"302075";"Sonography";""
+4;"302076";"302076";"Social psychiatry";""
+4;"302077";"302077";"Stem cell transplantation";""
+4;"302078";"302078";"Metabolic diseases";""
+4;"302079";"302079";"Radiation protection";""
+4;"302080";"302080";"Radiotherapy";""
+4;"302081";"302081";"Thoracic surgery";""
+4;"302082";"302082";"Transfusion medicine";""
+4;"302083";"302083";"Transplant surgery";""
+4;"302084";"302084";"Transplantation medicine";""
+4;"302085";"302085";"Trauma surgery";""
+4;"302086";"302086";"Urology";""
+4;"302087";"302087";"Venereology";""
+4;"302088";"302088";"Dentistry";""
+4;"302089";"302089";"Reproductive medicine";""
+4;"302090";"302090";"General practice";""
+4;"302091";"302091";"Immunotherapy";""
+4;"302092";"302092";"Oral surgery";""
+2;"303";"303";"Health Sciences";""
+3;"3030";"3030";"Health Sciences";""
+4;"303001";"303001";"Occupational medicine";""
+4;"303002";"303002";"Bacteriology";""
+4;"303003";"303003";"Occupational diseases";""
+4;"303004";"303004";"Kinesiology";""
+4;"303005";"303005";"Sports biomechanics";""
+4;"303006";"303006";"Dietetics";""
+4;"303007";"303007";"Epidemiology";""
+4;"303008";"303008";"Ergonomics";""
+4;"303009";"303009";"Nutritional sciences";""
+4;"303010";"303010";"Health economics";""
+4;"303011";"303011";"Health policy";""
+4;"303012";"303012";"Health sciences";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Vaccine protection";""
+4;"303015";"303015";"Hospital hygiene";""
+4;"303016";"303016";"Hospital management";""
+4;"303017";"303017";"Food hygiene";""
+4;"303018";"303018";"Air hygiene";""
+4;"303019";"303019";"Medical ethics";""
+4;"303020";"303020";"Medical microbiology";""
+4;"303021";"303021";"Medical rehabilitation";""
+4;"303022";"303022";"Palliative care";""
+4;"303023";"303023";"Parasitology";""
+4;"303024";"303024";"Nursing science";""
+4;"303025";"303025";"Preventive medicine";""
+4;"303026";"303026";"Public health";""
+4;"303027";"303027";"Social medicine";""
+4;"303028";"303028";"Sport science";""
+4;"303029";"303029";"Addiction research";""
+4;"303030";"303030";"Training science";""
+4;"303031";"303031";"Tropical medicine";""
+4;"303032";"303032";"Environmental hygiene";""
+4;"303033";"303033";"Environmental medicine";""
+4;"303034";"303034";"Virology";""
+4;"303035";"303035";"Water hygiene";""
+4;"303036";"303036";"Patient safety";""
+4;"303037";"303037";"Occupational therapy";""
+4;"303038";"303038";"Physiotherapy";""
+4;"303039";"303039";"Radiological technology";""
+4;"303040";"303040";"Health services research";""
+2;"304";"304";"Medical Biotechnology";""
+3;"3040";"3040";"Medical Biotechnology";""
+4;"304001";"304001";"Medical biotechnology related ethics";""
+4;"304002";"304002";"Genetic diagnostics";""
+4;"304003";"304003";"Genetic engineering";""
+4;"304004";"304004";"Gene therapy";""
+4;"304005";"304005";"Medical biotechnology";""
+4;"304006";"304006";"Pharmacogenomics";""
+4;"304007";"304007";"Tissue engineering";""
+2;"305";"305";"Other Human Medicine, Health Sciences";""
+3;"3051";"3051";"Forensic Medicine";""
+4;"305101";"305101";"Bloodstain pattern analysis";""
+4;"305102";"305102";"DNA analysis (Forensic medicine)";""
+4;"305103";"305103";"Forensic biology";""
+4;"305104";"305104";"Forensic chemistry";""
+4;"305105";"305105";"Forensic psychiatry";""
+4;"305106";"305106";"Forensic radiology";""
+4;"305107";"305107";"Forensic toxicology";""
+4;"305108";"305108";"Forensic human medicine";""
+4;"305109";"305109";"Forensic anthropology";""
+3;"3059";"3059";"Human Medicine, Health Sciences not elsewhere classified";""
+4;"305901";"305901";"Computer-aided diagnosis and therapy";""
+4;"305902";"305902";"Gender medicine";""
+4;"305903";"305903";"History of medicine";""
+4;"305904";"305904";"Medical documentation";""
+4;"305905";"305905";"Medical informatics";""
+4;"305906";"305906";"Medical cybernetics";""
+4;"305907";"305907";"Medical statistics";""
+4;"305908";"305908";"Sports medicine";""
+4;"305909";"305909";"Stress research";""
+4;"305910";"305910";"Traffic medicine";""
+1;"4";"4";"AGRICULTURAL SCIENCES, VETERINARY MEDICINE";""
+2;"401";"401";"Agriculture and Forestry, Fishery";""
+3;"4011";"4011";"Cultivation of Land, Horticulture";""
+4;"401101";"401101";"Cultivation of land";""
+4;"401102";"401102";"Irrigation management";""
+4;"401103";"401103";"Horticulture";""
+4;"401104";"401104";"Vegetable growing";""
+4;"401105";"401105";"Grain cultivation";""
+4;"401106";"401106";"Landscape conservation";""
+4;"401107";"401107";"Agricultural engineering";""
+4;"401108";"401108";"Fruit growing";""
+4;"401109";"401109";"Organic farming";""
+4;"401110";"401110";"Plant cultivation";""
+4;"401111";"401111";"Plant nutrition";""
+4;"401112";"401112";"Plant protection";""
+4;"401113";"401113";"Plant breeding";""
+4;"401114";"401114";"Seed breeding";""
+4;"401115";"401115";"Seed cultivation";""
+4;"401116";"401116";"Special crops";""
+4;"401117";"401117";"Viticulture";""
+4;"401118";"401118";"Cultivation of ornamental plants";""
+4;"401119";"401119";"Field forage growing";""
+3;"4012";"4012";"Forestry and Wood Industry";""
+4;"401201";"401201";"Forest entomology";""
+4;"401202";"401202";"Forest pathology";""
+4;"401203";"401203";"Forest protection";""
+4;"401204";"401204";"Forest engineering";""
+4;"401205";"401205";"Forestry";""
+4;"401206";"401206";"Wood industry";""
+4;"401207";"401207";"Silviculture";""
+4;"401208";"401208";"Forest ecology";""
+4;"401209";"401209";"Forest growth";""
+3;"4019";"4019";"Agriculture and Forestry, Fishery not elsewhere classified";""
+4;"401901";"401901";"Soil erosion";""
+4;"401902";"401902";"Soil science";""
+4;"401903";"401903";"Fishery";""
+4;"401904";"401904";"History of agriculture and forestry";""
+4;"401905";"401905";"Renewable resources";""
+4;"401906";"401906";"Game management";""
+2;"402";"402";"Animal Breeding, Animal Production";""
+3;"4020";"4020";"Animal Breeding, Animal Production";""
+4;"402001";"402001";"Apiology";""
+4;"402002";"402002";"Ichthyology";""
+4;"402003";"402003";"Meat hygiene";""
+4;"402004";"402004";"Meat production";""
+4;"402005";"402005";"Feed analysis";""
+4;"402006";"402006";"Pet breeding";""
+4;"402007";"402007";"Apiculture";""
+4;"402008";"402008";"Artificial insemination";""
+4;"402009";"402009";"Food testing";""
+4;"402010";"402010";"Milk hygiene";""
+4;"402011";"402011";"Milk production";""
+4;"402012";"402012";"Livestock ethology";""
+4;"402013";"402013";"Animal nutrition";""
+4;"402014";"402014";"Animal husbandry";""
+4;"402015";"402015";"Animal production";""
+4;"402016";"402016";"Animal welfare";""
+4;"402017";"402017";"Animal breeding";""
+4;"402018";"402018";"Laboratory animal science";""
+2;"403";"403";"Veterinary Medicine";""
+3;"4030";"4030";"Veterinary Medicine";""
+4;"403001";"403001";"Veterinary anaesthesiology";""
+4;"403002";"403002";"Veterinary anatomy";""
+4;"403003";"403003";"Veterinary andrology";""
+4;"403004";"403004";"Veterinary ophthalmology";""
+4;"403005";"403005";"Veterinary bacteriology";""
+4;"403006";"403006";"Veterinary diagnostic imaging";""
+4;"403007";"403007";"Veterinary surgery";""
+4;"403008";"403008";"Veterinary diagnostics";""
+4;"403009";"403009";"Veterinary embryology";""
+4;"403010";"403010";"Veterinary obstetrics";""
+4;"403011";"403011";"Forensic veterinary medicine";""
+4;"403012";"403012";"History of veterinary medicine";""
+4;"403013";"403013";"Veterinary gynaecology";""
+4;"403014";"403014";"Veterinary histology";""
+4;"403015";"403015";"Veterinary hygiene";""
+4;"403016";"403016";"Veterinary immunology";""
+4;"403017";"403017";"Veterinary internal medicine";""
+4;"403018";"403018";"Veterinary laboratory diagnostics";""
+4;"403019";"403019";"Veterinary medical biochemistry";""
+4;"403020";"403020";"Veterinary medical chemistry";""
+4;"403021";"403021";"Veterinary neurology";""
+4;"403022";"403022";"Veterinary orthopaedics";""
+4;"403023";"403023";"Veterinary parasitology";""
+4;"403024";"403024";"Veterinary pathology";""
+4;"403025";"403025";"Veterinary pharmacology";""
+4;"403026";"403026";"Veterinary physiology";""
+4;"403027";"403027";"Veterinary phytotherapy";""
+4;"403028";"403028";"Animal nutrition";""
+4;"403029";"403029";"Control of animal diseases";""
+4;"403030";"403030";"Veterinary toxicology";""
+4;"403031";"403031";"Veterinary virology";""
+4;"403032";"403032";"Veterinary dentistry";""
+4;"403033";"403033";"Veterinary regenerative medicine";""
+4;"403034";"403034";"Veterinary pain medicine";""
+2;"404";"404";"Agricultural Biotechnology, Food Biotechnology";""
+3;"4040";"4040";"Agricultural Biotechnology, Food Biotechnology";""
+4;"404001";"404001";"Agricultural biotechnology";""
+4;"404002";"404002";"Biopharming";""
+4;"404003";"404003";"Agricultural and food biotechnology related ethics";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"Fermentation technology";""
+4;"404006";"404006";"Genetic engineering";""
+4;"404007";"404007";"Food biotechnology";""
+2;"405";"405";"Other Agricultural Sciences";""
+3;"4050";"4050";"Other Agricultural Sciences";""
+4;"405001";"405001";"Agroecology";""
+4;"405002";"405002";"Agricultural economics";""
+4;"405003";"405003";"Agricultural policy";""
+4;"405004";"405004";"Sustainable agriculture";""
+4;"405005";"405005";"Wildlife science";""
+4;"405006";"405006";"Agricultural sociology";""
+4;"405007";"405007";"Wildlife management";""
+1;"5";"5";"SOCIAL SCIENCES";""
+2;"501";"501";"Psychology";""
+3;"5010";"5010";"Psychology";""
+4;"501001";"501001";"General psychology";""
+4;"501002";"501002";"Applied psychology";""
+4;"501003";"501003";"Occupational psychology";""
+4;"501004";"501004";"Differential psychology";""
+4;"501005";"501005";"Developmental psychology";""
+4;"501006";"501006";"Experimental psychology";""
+4;"501007";"501007";"History of psychology";""
+4;"501008";"501008";"Group dynamics";""
+4;"501009";"501009";"Child and adolescent psychology";""
+4;"501010";"501010";"Clinical psychology";""
+4;"501011";"501011";"Cognitive psychology";""
+4;"501012";"501012";"Media psychology";""
+4;"501013";"501013";"Motivational psychology";""
+4;"501014";"501014";"Neuropsychology";""
+4;"501015";"501015";"Organisational psychology";""
+4;"501016";"501016";"Educational psychology";""
+4;"501017";"501017";"Psychoanalysis";""
+4;"501018";"501018";"Psychological diagnostics";""
+4;"501019";"501019";"Psychotherapy";""
+4;"501020";"501020";"Legal psychology";""
+4;"501021";"501021";"Social psychology";""
+4;"501022";"501022";"Suicidology";""
+4;"501023";"501023";"Depth psychology";""
+4;"501024";"501024";"Behavioural therapy";""
+4;"501025";"501025";"Traffic psychology";""
+4;"501026";"501026";"Psychology of perception";""
+4;"501027";"501027";"Music therapy";""
+4;"501028";"501028";"Psychosocial support in emergencies";""
+4;"501029";"501029";"Economic psychology";""
+4;"501030";"501030";"Cognitive science";""
+2;"502";"502";"Economics";""
+3;"5020";"5020";"Economics";""
+4;"502001";"502001";"Labour market policy";""
+4;"502002";"502002";"Labour economics";""
+4;"502003";"502003";"Foreign trade";""
+4;"502004";"502004";"Banking management";""
+4;"502005";"502005";"Economics of education";""
+4;"502006";"502006";"Controlling";""
+4;"502007";"502007";"E-commerce";""
+4;"502008";"502008";"Development economics";""
+4;"502009";"502009";"Corporate finance";""
+4;"502010";"502010";"Public finance";""
+4;"502011";"502011";"Cooperative systems";""
+4;"502012";"502012";"Industrial management";""
+4;"502013";"502013";"Industrial economics";""
+4;"502014";"502014";"Innovation research";""
+4;"502015";"502015";"Innovation management";""
+4;"502016";"502016";"SME-research";""
+4;"502017";"502017";"Logistics";""
+4;"502018";"502018";"Macroeconomics";""
+4;"502019";"502019";"Marketing";""
+4;"502020";"502020";"Market research";""
+4;"502021";"502021";"Microeconomics";""
+4;"502022";"502022";"Sustainable economics";""
+4;"502023";"502023";"NPO research";""
+4;"502024";"502024";"Public economy";""
+4;"502025";"502025";"Econometrics";""
+4;"502026";"502026";"Human resource management";""
+4;"502027";"502027";"Political economy";""
+4;"502028";"502028";"Production management";""
+4;"502029";"502029";"Product management";""
+4;"502030";"502030";"Project management";""
+4;"502031";"502031";"Public management";""
+4;"502032";"502032";"Quality management";""
+4;"502033";"502033";"Accounting";""
+4;"502034";"502034";"Regulatory economics";""
+4;"502035";"502035";"Auditing and trusts";""
+4;"502036";"502036";"Risk management";""
+4;"502037";"502037";"Location planning";""
+4;"502038";"502038";"Taxation";""
+4;"502039";"502039";"Structural policy";""
+4;"502040";"502040";"Tourism research";""
+4;"502041";"502041";"Environmental management";""
+4;"502042";"502042";"Environmental economics";""
+4;"502043";"502043";"Business consultancy";""
+4;"502044";"502044";"Business management";""
+4;"502045";"502045";"Behavioural economics";""
+4;"502046";"502046";"Economic policy";""
+4;"502047";"502047";"Economic theory";""
+4;"502048";"502048";"Business ethics";""
+4;"502049";"502049";"Economic history";""
+4;"502050";"502050";"Business informatics";""
+4;"502051";"502051";"Economic statistics";""
+4;"502052";"502052";"Business administration";""
+4;"502053";"502053";"Economics";""
+4;"502054";"502054";"Entrepreneurship";""
+4;"502055";"502055";"Distribution economics";""
+4;"502056";"502056";"Auditing";""
+2;"503";"503";"Educational Sciences";""
+3;"5030";"5030";"Educational Sciences";""
+4;"503001";"503001";"General education";""
+4;"503002";"503002";"Applied education";""
+4;"503003";"503003";"Talent research";""
+4;"503004";"503004";"Vocational studies";""
+4;"503005";"503005";"Vocational education";""
+4;"503006";"503006";"Educational research";""
+4;"503007";"503007";"Didactics";""
+4;"503008";"503008";"E-learning";""
+4;"503009";"503009";"Adult education";""
+4;"503010";"503010";"Subject didactics of agricultural sciences, veterinary medicine";""
+4;"503011";"503011";"Subject didactics of humanities";""
+4;"503012";"503012";"Subject didactics of human medicine and health sciences";""
+4;"503013";"503013";"Subject didactics of natural sciences";""
+4;"503014";"503014";"Subject didactics of social sciences";""
+4;"503015";"503015";"Subject didactics of technical sciences";""
+4;"503016";"503016";"Leisure education";""
+4;"503017";"503017";"History of education";""
+4;"503018";"503018";"University didactics";""
+4;"503019";"503019";"Art education";""
+4;"503020";"503020";"Media education";""
+4;"503021";"503021";"Museum education";""
+4;"503022";"503022";"Music education";""
+4;"503023";"503023";"Qualification research";""
+4;"503024";"503024";"Religious education";""
+4;"503025";"503025";"School pedagogy";""
+4;"503026";"503026";"Orthopaedagogy";""
+4;"503027";"503027";"Social pedagogy";""
+4;"503028";"503028";"Sport pedagogy";""
+4;"503029";"503029";"Language teaching research";""
+4;"503030";"503030";"Business education";""
+4;"503031";"503031";"Elementary pedagogy";""
+4;"503032";"503032";"Teaching and learning research";""
+4;"503033";"503033";"Political education";""
+4;"503034";"503034";"Inclusive education";""
+2;"504";"504";"Sociology";""
+3;"5040";"5040";"Sociology";""
+4;"504001";"504001";"General sociology";""
+4;"504002";"504002";"Sociology of work";""
+4;"504003";"504003";"Poverty and social exclusion";""
+4;"504004";"504004";"Population statistics";""
+4;"504005";"504005";"Educational sociology";""
+4;"504006";"504006";"Demography";""
+4;"504007";"504007";"Empirical social research";""
+4;"504008";"504008";"Ethnography";""
+4;"504009";"504009";"Ethnology";""
+4;"504010";"504010";"European ethnology";""
+4;"504011";"504011";"Genealogy";""
+4;"504012";"504012";"Leisure research";""
+4;"504013";"504013";"Gender mainstreaming";""
+4;"504014";"504014";"Gender studies";""
+4;"504015";"504015";"History of sociology";""
+4;"504016";"504016";"Sociology of youth";""
+4;"504017";"504017";"Cultural anthropology";""
+4;"504018";"504018";"Sociology of culture";""
+4;"504019";"504019";"Media sociology";""
+4;"504020";"504020";"Medical sociology";""
+4;"504021";"504021";"Migration research";""
+4;"504022";"504022";"Music sociology";""
+4;"504023";"504023";"Political sociology";""
+4;"504024";"504024";"Sociology of law";""
+4;"504025";"504025";"Sociology of religion";""
+4;"504026";"504026";"Social history";""
+4;"504027";"504027";"Special sociology";""
+4;"504028";"504028";"Sociology of technology";""
+4;"504029";"504029";"Environmental sociology";""
+4;"504030";"504030";"Economic sociology";""
+4;"504031";"504031";"Diversity research";""
+2;"505";"505";"Law";""
+3;"5050";"5050";"Law";""
+4;"505001";"505001";"Labour law";""
+4;"505002";"505002";"Data protection";""
+4;"505003";"505003";"European law";""
+4;"505004";"505004";"Financial law";""
+4;"505005";"505005";"Intellectual property";""
+4;"505006";"505006";"Fundamental rights";""
+4;"505007";"505007";"Insolvency law";""
+4;"505008";"505008";"Criminology";""
+4;"505009";"505009";"Mediation";""
+4;"505010";"505010";"Medical law";""
+4;"505011";"505011";"Human rights";""
+4;"505012";"505012";"Public law";""
+4;"505013";"505013";"Private law";""
+4;"505014";"505014";"Legal history";""
+4;"505015";"505015";"Legal informatics";""
+4;"505016";"505016";"Legal theory";""
+4;"505017";"505017";"Comparative law";""
+4;"505018";"505018";"Religious law";""
+4;"505019";"505019";"Roman law";""
+4;"505020";"505020";"Social law";""
+4;"505021";"505021";"Constitutional law";""
+4;"505022";"505022";"Tax law";""
+4;"505023";"505023";"Criminal procedural law";""
+4;"505024";"505024";"Criminal law";""
+4;"505025";"505025";"Business law";""
+4;"505026";"505026";"Constitutional law";""
+4;"505027";"505027";"Administrative studies";""
+4;"505028";"505028";"Administrative law";""
+4;"505029";"505029";"International law";""
+4;"505030";"505030";"Commercial law";""
+4;"505031";"505031";"Civil law";""
+4;"505032";"505032";"Civil procedure law";""
+4;"505033";"505033";"Anti-discrimination law";""
+4;"505034";"505034";"Banking and capital market law";""
+4;"505035";"505035";"Building law";""
+4;"505036";"505036";"Energy law";""
+4;"505037";"505037";"Family and inheritance law";""
+4;"505038";"505038";"Trademark and patent law";""
+4;"505039";"505039";"Media law";""
+4;"505040";"505040";"Sports law";""
+4;"505041";"505041";"Environmental law";""
+4;"505042";"505042";"Traffic law";""
+4;"505043";"505043";"Competition and antitrust law";""
+4;"505044";"505044";"Corporate law";""
+4;"505045";"505045";"Higher education law";""
+4;"505046";"505046";"Air and space law";""
+4;"505047";"505047";"General procedural law";""
+4;"505048";"505048";"Property law";""
+2;"506";"506";"Political Science";""
+3;"5060";"5060";"Political Science";""
+4;"506001";"506001";"General theory of the state";""
+4;"506002";"506002";"E-government";""
+4;"506003";"506003";"Development policy";""
+4;"506004";"506004";"European integration";""
+4;"506005";"506005";"Research policy";""
+4;"506006";"506006";"Peace studies";""
+4;"506007";"506007";"International relations";""
+4;"506008";"506008";"Conflict research";""
+4;"506009";"506009";"Organisation theory";""
+4;"506010";"506010";"Policy analysis";""
+4;"506011";"506011";"Political history";""
+4;"506012";"506012";"Political systems";""
+4;"506013";"506013";"Political theory";""
+4;"506014";"506014";"Comparative politics";""
+4;"506015";"506015";"Asylum policy";""
+4;"506016";"506016";"Migration policy";""
+4;"506017";"506017";"Science and technology policy";""
+2;"507";"507";"Human Geography, Regional Geography, Regional Planning";""
+3;"5070";"5070";"Human Geography, Regional Geography, Regional Planning";""
+4;"507001";"507001";"Applied geography";""
+4;"507002";"507002";"Population geography";""
+4;"507003";"507003";"Geoinformatics";""
+4;"507004";"507004";"History of geography";""
+4;"507005";"507005";"Cultural geography";""
+4;"507006";"507006";"Cultural landscape research";""
+4;"507007";"507007";"Land use planning";""
+4;"507008";"507008";"Landscape planning";""
+4;"507009";"507009";"Regional planning";""
+4;"507010";"507010";"Political geography";""
+4;"507011";"507011";"Spatial research";""
+4;"507012";"507012";"Spatial structure";""
+4;"507013";"507013";"Regional geography";""
+4;"507014";"507014";"Regional development";""
+4;"507015";"507015";"Regional research";""
+4;"507016";"507016";"Regional economy";""
+4;"507017";"507017";"Social geography";""
+4;"507018";"507018";"Urban and village renewal";""
+4;"507019";"507019";"Urban development planning";""
+4;"507020";"507020";"Urbanism";""
+4;"507021";"507021";"Urban history";""
+4;"507022";"507022";"Urban planning";""
+4;"507023";"507023";"Location development";""
+4;"507024";"507024";"Environmental policy";""
+4;"507025";"507025";"Transport planning";""
+4;"507026";"507026";"Economic geography";""
+4;"507027";"507027";"Sustainable urban development";""
+2;"508";"508";"Media and Communication Sciences";""
+3;"5080";"5080";"Media and Communication Sciences";""
+4;"508001";"508001";"Archive studies";""
+4;"508002";"508002";"Audiovisual media";""
+4;"508003";"508003";"Library science";""
+4;"508004";"508004";"Intercultural communication";""
+4;"508005";"508005";"Journalism";""
+4;"508006";"508006";"Communication theory";""
+4;"508007";"508007";"Communication science";""
+4;"508008";"508008";"Media analysis";""
+4;"508009";"508009";"Media research";""
+4;"508010";"508010";"Media history";""
+4;"508011";"508011";"Media theory";""
+4;"508012";"508012";"Media impact studies";""
+4;"508013";"508013";"Public relations";""
+4;"508014";"508014";"Journalism";""
+4;"508015";"508015";"Business communication";""
+4;"508016";"508016";"Science communication";""
+4;"508017";"508017";"Organisational communication";""
+4;"508018";"508018";"Reception research";""
+2;"509";"509";"Other Social Sciences";""
+3;"5090";"5090";"Other Social Sciences";""
+4;"509001";"509001";"Action research";""
+4;"509002";"509002";"Disability studies";""
+4;"509003";"509003";"Development cooperation";""
+4;"509004";"509004";"Evaluation research";""
+4;"509005";"509005";"Gerontology";""
+4;"509006";"509006";"History of social sciences";""
+4;"509007";"509007";"Graffiti research";""
+4;"509008";"509008";"Child research, youth research";""
+4;"509009";"509009";"Military strategic research";""
+4;"509010";"509010";"Minority research";""
+4;"509011";"509011";"Organisational development";""
+4;"509012";"509012";"Social policy";""
+4;"509013";"509013";"Social statistics";""
+4;"509014";"509014";"Game research";""
+4;"509015";"509015";"Accident research";""
+4;"509016";"509016";"Transport economics";""
+4;"509017";"509017";"Social studies of science";""
+4;"509018";"509018";"Knowledge management";""
+4;"509019";"509019";"Futurology";""
+4;"509020";"509020";"Military ethics";""
+4;"509021";"509021";"Military science";""
+4;"509022";"509022";"Polemology";""
+4;"509023";"509023";"Development research";""
+4;"509024";"509024";"Security research";""
+4;"509025";"509025";"Technology studies";""
+1;"6";"6";"HUMANITIES";""
+2;"601";"601";"History, Archaeology";""
+3;"6010";"6010";"History, Archaeology";""
+4;"601001";"601001";"Ancient history";""
+4;"601002";"601002";"Classical studies";""
+4;"601003";"601003";"Archaeology";""
+4;"601004";"601004";"Epigraphy";""
+4;"601005";"601005";"European history";""
+4;"601006";"601006";"Early history";""
+4;"601007";"601007";"Historical regional studies";""
+4;"601008";"601008";"Science of history";""
+4;"601009";"601009";"Historical auxiliary sciences";""
+4;"601010";"601010";"Classical archaeology";""
+4;"601011";"601011";"Codicology";""
+4;"601012";"601012";"Medieval history";""
+4;"601013";"601013";"Museology";""
+4;"601014";"601014";"Modern history";""
+4;"601015";"601015";"Numismatics";""
+4;"601016";"601016";"Austrian history";""
+4;"601017";"601017";"Palaeography";""
+4;"601018";"601018";"Papyrology";""
+4;"601019";"601019";"Source studies";""
+4;"601020";"601020";"Regional history";""
+4;"601021";"601021";"Prehistory";""
+4;"601022";"601022";"Contemporary history";""
+4;"601023";"601023";"Global history";""
+4;"601024";"601024";"Archaeological prospection";""
+4;"601025";"601025";"Experimental archaeology";""
+4;"601026";"601026";"Virtual archeology";""
+4;"601027";"601027";"Deserted settlement research";""
+2;"602";"602";"Linguistics and Literature";""
+3;"6020";"6020";"Linguistics and Literature";""
+4;"602001";"602001";"African studies";""
+4;"602002";"602002";"Egyptology";""
+4;"602003";"602003";"General literature studies";""
+4;"602004";"602004";"General linguistics";""
+4;"602005";"602005";"American studies";""
+4;"602006";"602006";"Applied literature studies";""
+4;"602007";"602007";"Applied linguistics";""
+4;"602008";"602008";"English studies";""
+4;"602009";"602009";"Arabic studies";""
+4;"602010";"602010";"Byzantine studies";""
+4;"602011";"602011";"Computational linguistics";""
+4;"602012";"602012";"Finno-Ugrian studies";""
+4;"602013";"602013";"Sign language research";""
+4;"602014";"602014";"German studies";""
+4;"602015";"602015";"Greek studies";""
+4;"602016";"602016";"Hermeneutics";""
+4;"602017";"602017";"Indo-European studies";""
+4;"602018";"602018";"Indology";""
+4;"602019";"602019";"Iranian studies";""
+4;"602020";"602020";"Japanese studies";""
+4;"602021";"602021";"Yiddish studies";""
+4;"602022";"602022";"Jewish studies";""
+4;"602023";"602023";"Celtic studies";""
+4;"602024";"602024";"Classical philology";""
+4;"602025";"602025";"Clinical linguistics";""
+4;"602026";"602026";"Cognitive linguistics";""
+4;"602027";"602027";"Coptic studies";""
+4;"602028";"602028";"Korean studies";""
+4;"602029";"602029";"Latin studies";""
+4;"602030";"602030";"Lexicography";""
+4;"602031";"602031";"History of literature";""
+4;"602032";"602032";"Dialectology";""
+4;"602033";"602033";"Onomastics";""
+4;"602034";"602034";"Dutch studies";""
+4;"602035";"602035";"Modern Greek studies";""
+4;"602036";"602036";"Neurolinguistics";""
+4;"602037";"602037";"Oriental studies";""
+4;"602038";"602038";"Phonetics";""
+4;"602039";"602039";"Phonology";""
+4;"602040";"602040";"Psycholinguistics";""
+4;"602041";"602041";"Rhetoric";""
+4;"602042";"602042";"Romance studies";""
+4;"602043";"602043";"Semiotics";""
+4;"602044";"602044";"Semitic studies";""
+4;"602045";"602045";"Sinology";""
+4;"602046";"602046";"Scandinavian studies";""
+4;"602047";"602047";"Slavonic studies";""
+4;"602048";"602048";"Sociolinguistics";""
+4;"602049";"602049";"Terminology science";""
+4;"602050";"602050";"Tibetan studies";""
+4;"602051";"602051";"Translation studies";""
+4;"602052";"602052";"Turkish studies";""
+4;"602053";"602053";"Comparative literature studies";""
+4;"602054";"602054";"Comparative linguistics";""
+4;"602055";"602055";"Patholinguistics";""
+4;"602056";"602056";"Ancient Oriental studies";""
+4;"602057";"602057";"Historical linguistics";""
+4;"602058";"602058";"Corpus linguistics";""
+2;"603";"603";"Philosophy, Ethics, Religion";""
+3;"6031";"6031";"Philosophy, Ethics";""
+4;"603101";"603101";"Aesthetics";""
+4;"603102";"603102";"Epistemology";""
+4;"603103";"603103";"Ethics";""
+4;"603104";"603104";"History of philosophy";""
+4;"603105";"603105";"Philosophy of history";""
+4;"603106";"603106";"Hermeneutics";""
+4;"603107";"603107";"Critique of ideology";""
+4;"603108";"603108";"Cultural philosophy";""
+4;"603109";"603109";"Logic";""
+4;"603110";"603110";"Metaphysics";""
+4;"603111";"603111";"Natural philosophy";""
+4;"603112";"603112";"Phenomenology";""
+4;"603113";"603113";"Philosophy";""
+4;"603114";"603114";"Philosophy of mind";""
+4;"603115";"603115";"Philosophical anthropology";""
+4;"603116";"603116";"Political philosophy";""
+4;"603117";"603117";"Philosophy of law";""
+4;"603118";"603118";"Philosophy of religion";""
+4;"603119";"603119";"Social philosophy";""
+4;"603120";"603120";"Philosophy of language";""
+4;"603121";"603121";"Political philosophy";""
+4;"603122";"603122";"Philosophy of technology";""
+4;"603123";"603123";"History of science";""
+4;"603124";"603124";"Theory of science";""
+4;"603125";"603125";"Metaethics";""
+4;"603126";"603126";"Intercultural philosophy";""
+3;"6032";"6032";"Theology";""
+4;"603201";"603201";"Old Testament studies";""
+4;"603202";"603202";"Christian archaeology";""
+4;"603203";"603203";"Christian philosophy";""
+4;"603204";"603204";"Christian social doctrine";""
+4;"603205";"603205";"Dogmatic theology";""
+4;"603206";"603206";"Fundamental theology";""
+4;"603207";"603207";"Homiletics";""
+4;"603208";"603208";"Intercultural theology";""
+4;"603209";"603209";"Canon law";""
+4;"603210";"603210";"Catechetics";""
+4;"603211";"603211";"Church history";""
+4;"603212";"603212";"Liturgical studies";""
+4;"603213";"603213";"Moral theology";""
+4;"603214";"603214";"New Testament studies";""
+4;"603215";"603215";"Ecumenical theology";""
+4;"603216";"603216";"Pastoral psychology";""
+4;"603217";"603217";"Pastoral theology";""
+4;"603218";"603218";"Patrology";""
+4;"603219";"603219";"Practical theology";""
+4;"603220";"603220";"Pastoral care";""
+4;"603221";"603221";"Spiritual theology";""
+4;"603222";"603222";"Systematic theology";""
+4;"603223";"603223";"Theological anthropology";""
+3;"6039";"6039";"Religion, Religious Studies not elsewhere classified";""
+4;"603901";"603901";"Atheism";""
+4;"603902";"603902";"Buddhism";""
+4;"603903";"603903";"Exegesis";""
+4;"603904";"603904";"Hinduism";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"Jewish religion";""
+4;"603907";"603907";"Church law";""
+4;"603908";"603908";"History of religion";""
+4;"603909";"603909";"Religious studies";""
+4;"603910";"603910";"Psychology of religion";""
+2;"604";"604";"Arts";""
+3;"6040";"6040";"Arts";""
+4;"604001";"604001";"Applied arts";""
+4;"604002";"604002";"Architectural design";""
+4;"604003";"604003";"Performance practice";""
+4;"604004";"604004";"Fine arts";""
+4;"604005";"604005";"Stage design";""
+4;"604006";"604006";"Performing arts";""
+4;"604007";"604007";"Historic preservation";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusicology";""
+4;"604010";"604010";"Film design";""
+4;"604011";"604011";"Film studies";""
+4;"604012";"604012";"Photography";""
+4;"604013";"604013";"Garden art";""
+4;"604014";"604014";"Singing";""
+4;"604015";"604015";"Industrial design";""
+4;"604016";"604016";"Jazz studies";""
+4;"604017";"604017";"Church music";""
+4;"604018";"604018";"Conservation, restoration";""
+4;"604019";"604019";"Art history";""
+4;"604020";"604020";"Art theory";""
+4;"604021";"604021";"Media arts";""
+4;"604022";"604022";"Music history";""
+4;"604023";"604023";"Music theory";""
+4;"604024";"604024";"Musicology";""
+4;"604025";"604025";"Popular music studies";""
+4;"604026";"604026";"Spatial arts";""
+4;"604027";"604027";"Scenography";""
+4;"604028";"604028";"Dance studies";""
+4;"604029";"604029";"Theatre studies";""
+4;"604030";"604030";"Folk music research";""
+4;"604031";"604031";"Historical technology";""
+4;"604032";"604032";"Instrumental studies";""
+4;"604033";"604033";"Composition";""
+4;"604034";"604034";"Music theatre";""
+4;"604035";"604035";"Organ research";""
+4;"604036";"604036";"Provenance research";""
+4;"604037";"604037";"Collection care";""
+2;"605";"605";"Other Humanities";""
+3;"6050";"6050";"Other Humanities";""
+4;"605001";"605001";"History of humanities";""
+4;"605002";"605002";"Cultural history";""
+4;"605003";"605003";"Cultural economics";""
+4;"605004";"605004";"Cultural studies";""
+4;"605005";"605005";"Audience research";""
+4;"605006";"605006";"Cultural management";""
+4;"605007";"605007";"Digital humanities";""
diff --git a/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_EN_CTI_20211111_154228.txt b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_EN_CTI_20211111_154228.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3bf6a0844bc6053615dc524da0365feacdd34c1c
--- /dev/null
+++ b/oeaplatform/metaingest/perl/etc/targets/oaiingest_lom/oefos/OEFOS2012_EN_CTI_20211111_154228.txt
@@ -0,0 +1,1475 @@
+"Ebene";"EDV-Code";"Code";"Titel";"Kurztitel"
+1;"1";"1";"NATURAL SCIENCES";""
+2;"101";"101";"Mathematics";""
+3;"1010";"1010";"Mathematics";""
+4;"101001";"101001";"Algebra";""
+4;"101002";"101002";"Analysis";""
+4;"101003";"101003";"Applied geometry";""
+4;"101004";"101004";"Biomathematics";""
+4;"101005";"101005";"Computer algebra";""
+4;"101006";"101006";"Differential geometry";""
+4;"101007";"101007";"Financial mathematics";""
+4;"101008";"101008";"Complex analysis";""
+4;"101009";"101009";"Geometry";""
+4;"101010";"101010";"History of mathematics";""
+4;"101011";"101011";"Graph theory";""
+4;"101012";"101012";"Combinatorics";""
+4;"101013";"101013";"Mathematical logic";""
+4;"101014";"101014";"Numerical mathematics";""
+4;"101015";"101015";"Operations research";""
+4;"101016";"101016";"Optimisation";""
+4;"101017";"101017";"Game theory";""
+4;"101018";"101018";"Statistics";""
+4;"101019";"101019";"Stochastics";""
+4;"101020";"101020";"Technical mathematics";""
+4;"101021";"101021";"Theoretical cybernetics";""
+4;"101022";"101022";"Topology";""
+4;"101023";"101023";"Actuarial mathematics";""
+4;"101024";"101024";"Probability theory";""
+4;"101025";"101025";"Number theory";""
+4;"101026";"101026";"Time series analysis";""
+4;"101027";"101027";"Dynamical systems";""
+4;"101028";"101028";"Mathematical modelling";""
+4;"101029";"101029";"Mathematical statistics";""
+4;"101030";"101030";"Reliability theory";""
+4;"101031";"101031";"Approximation theory";""
+4;"101032";"101032";"Functional analysis";""
+2;"102";"102";"Computer Sciences";""
+3;"1020";"1020";"Computer Sciences";""
+4;"102001";"102001";"Artificial intelligence";""
+4;"102002";"102002";"Augmented reality";""
+4;"102003";"102003";"Image processing";""
+4;"102004";"102004";"Bioinformatics";""
+4;"102005";"102005";"Computer aided design (CAD)";""
+4;"102006";"102006";"Computer supported cooperative work (CSCW)";""
+4;"102007";"102007";"Computer animation";""
+4;"102008";"102008";"Computer graphics";""
+4;"102009";"102009";"Computer simulation";""
+4;"102010";"102010";"Database systems";""
+4;"102011";"102011";"Formal languages";""
+4;"102012";"102012";"History of computer science";""
+4;"102013";"102013";"Human-computer interaction";""
+4;"102014";"102014";"Information design";""
+4;"102015";"102015";"Information systems";""
+4;"102016";"102016";"IT security";""
+4;"102017";"102017";"Cryptology";""
+4;"102018";"102018";"Artificial neural networks";""
+4;"102019";"102019";"Machine learning";""
+4;"102020";"102020";"Medical informatics";""
+4;"102021";"102021";"Pervasive computing";""
+4;"102022";"102022";"Software development";""
+4;"102023";"102023";"Supercomputing";""
+4;"102024";"102024";"Usability research";""
+4;"102025";"102025";"Distributed systems";""
+4;"102026";"102026";"Virtual reality";""
+4;"102027";"102027";"Web engineering";""
+4;"102028";"102028";"Knowledge engineering";""
+4;"102029";"102029";"Practical computer science";""
+4;"102030";"102030";"Semantic technologies";""
+4;"102031";"102031";"Theoretical computer science";""
+4;"102032";"102032";"Computational intelligence";""
+4;"102033";"102033";"Data mining";""
+4;"102034";"102034";"Cyber-physical systems";""
+4;"102035";"102035";"Data science";""
+4;"102036";"102036";"Digital accessibility";""
+4;"102037";"102037";"Visualisation";""
+2;"103";"103";"Physics, Astronomy";""
+3;"1030";"1030";"Physics, Astronomy";""
+4;"103001";"103001";"Aerodynamics";""
+4;"103002";"103002";"Acoustics";""
+4;"103003";"103003";"Astronomy";""
+4;"103004";"103004";"Astrophysics";""
+4;"103005";"103005";"Atomic physics";""
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+4;"103007";"103007";"Dosimetry";""
+4;"103008";"103008";"Experimental physics";""
+4;"103009";"103009";"Solid state physics";""
+4;"103010";"103010";"History of physics";""
+4;"103011";"103011";"Semiconductor physics";""
+4;"103012";"103012";"High energy physics";""
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+4;"103015";"103015";"Condensed matter";""
+4;"103016";"103016";"Laser physics";""
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+4;"103018";"103018";"Materials physics";""
+4;"103019";"103019";"Mathematical physics";""
+4;"103020";"103020";"Surface physics";""
+4;"103021";"103021";"Optics";""
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+4;"103025";"103025";"Quantum mechanics";""
+4;"103026";"103026";"Quantum optics";""
+4;"103027";"103027";"Reactor physics";""
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+4;"103029";"103029";"Statistical physics";""
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+4;"103031";"103031";"Radiation protection";""
+4;"103032";"103032";"Fluid mechanics";""
+4;"103033";"103033";"Superconductivity";""
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+4;"103035";"103035";"Theoretical mechanics";""
+4;"103036";"103036";"Theoretical physics";""
+4;"103037";"103037";"Environmental physics";""
+4;"103038";"103038";"Space exploration";""
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+4;"103040";"103040";"Photonics";""
+4;"103041";"103041";"Astroparticle physics";""
+4;"103042";"103042";"Electron microscopy";""
+4;"103043";"103043";"Computational physics";""
+4;"103044";"103044";"Cosmology";""
+2;"104";"104";"Chemistry";""
+3;"1040";"1040";"Chemistry";""
+4;"104001";"104001";"General chemistry";""
+4;"104002";"104002";"Analytical chemistry";""
+4;"104003";"104003";"Inorganic chemistry";""
+4;"104004";"104004";"Chemical biology";""
+4;"104005";"104005";"Electrochemistry";""
+4;"104006";"104006";"Solid state chemistry";""
+4;"104007";"104007";"History of chemistry";""
+4;"104008";"104008";"Catalysis";""
+4;"104009";"104009";"Food chemistry";""
+4;"104010";"104010";"Macromolecular chemistry";""
+4;"104011";"104011";"Materials chemistry";""
+4;"104012";"104012";"Microanalysis";""
+4;"104013";"104013";"Natural product chemistry";""
+4;"104014";"104014";"Surface chemistry";""
+4;"104015";"104015";"Organic chemistry";""
+4;"104016";"104016";"Photochemistry";""
+4;"104017";"104017";"Physical chemistry";""
+4;"104018";"104018";"Polymer chemistry";""
+4;"104019";"104019";"Polymer sciences";""
+4;"104020";"104020";"Radiochemistry";""
+4;"104021";"104021";"Structural chemistry";""
+4;"104022";"104022";"Theoretical chemistry";""
+4;"104023";"104023";"Environmental chemistry";""
+4;"104024";"104024";"X-ray structural analysis";""
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+4;"104027";"104027";"Computational chemistry";""
+2;"105";"105";"Geosciences";""
+3;"1051";"1051";"Geology, Mineralogy";""
+4;"105101";"105101";"General geology";""
+4;"105102";"105102";"General geophysics";""
+4;"105103";"105103";"Petroleum geology";""
+4;"105104";"105104";"Erosion";""
+4;"105105";"105105";"Geochemistry";""
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+4;"105301";"105301";"Water protection";""
+4;"105302";"105302";"Hydrochemistry";""
+4;"105303";"105303";"Hydrogeology";""
+4;"105304";"105304";"Hydrology";""
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+4;"105306";"105306";"Oceanography";""
+4;"105307";"105307";"Water quality";""
+4;"105308";"105308";"Water resources";""
+3;"1054";"1054";"Physical Geography";""
+4;"105401";"105401";"Biogeography";""
+4;"105402";"105402";"Soil geography";""
+4;"105403";"105403";"Geoinformatics";""
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+4;"105407";"105407";"Cartography";""
+4;"105408";"105408";"Physical geography";""
+4;"105409";"105409";"Topography";""
+3;"1059";"1059";"Interdisciplinary Geosciences not elsewhere classified";""
+4;"105901";"105901";"Glaciology";""
+4;"105902";"105902";"Natural hazards";""
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+4;"105904";"105904";"Environmental research";""
+4;"105905";"105905";"Environmental protection";""
+4;"105906";"105906";"Environmental geosciences";""
+4;"105907";"105907";"Polar research";""
+2;"106";"106";"Biology";""
+3;"1060";"1060";"Biology";""
+4;"106001";"106001";"General biology";""
+4;"106002";"106002";"Biochemistry";""
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+4;"106004";"106004";"Bioethics";""
+4;"106005";"106005";"Bioinformatics";""
+4;"106006";"106006";"Biophysics";""
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+4;"106008";"106008";"Botany";""
+4;"106009";"106009";"Chronobiology";""
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+4;"106011";"106011";"3Rs (replacement, reduction, refinement of animal testing)";""
+4;"106012";"106012";"Evolutionary research";""
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+4;"106015";"106015";"Geobotany";""
+4;"106016";"106016";"History of biology";""
+4;"106017";"106017";"Glycobiology";""
+4;"106018";"106018";"Human biology";""
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+4;"106020";"106020";"Limnology";""
+4;"106021";"106021";"Marine biology";""
+4;"106022";"106022";"Microbiology";""
+4;"106023";"106023";"Molecular biology";""
+4;"106024";"106024";"Mycology";""
+4;"106025";"106025";"Neurobiology";""
+4;"106026";"106026";"Ecosystem research";""
+4;"106027";"106027";"Ecotoxicology";""
+4;"106028";"106028";"Plant anatomy";""
+4;"106029";"106029";"Plant morphology";""
+4;"106030";"106030";"Plant ecology";""
+4;"106031";"106031";"Plant physiology";""
+4;"106032";"106032";"Photobiology";""
+4;"106033";"106033";"Phylogeny";""
+4;"106034";"106034";"Phytochemistry";""
+4;"106035";"106035";"Phytogeography";""
+4;"106036";"106036";"Population genetics";""
+4;"106037";"106037";"Proteomics";""
+4;"106038";"106038";"Reproductive biology";""
+4;"106039";"106039";"Stem cell research";""
+4;"106040";"106040";"Radiation biology";""
+4;"106041";"106041";"Structural biology";""
+4;"106042";"106042";"Systematic botany";""
+4;"106043";"106043";"Systematic zoology";""
+4;"106044";"106044";"Systems biology";""
+4;"106045";"106045";"Theoretical biology";""
+4;"106046";"106046";"Animal anatomy";""
+4;"106047";"106047";"Animal ecology";""
+4;"106048";"106048";"Animal physiology";""
+4;"106049";"106049";"Ultrastructure research";""
+4;"106050";"106050";"Vegetation science";""
+4;"106051";"106051";"Behavioural biology";""
+4;"106052";"106052";"Cell biology";""
+4;"106053";"106053";"Zoogeography";""
+4;"106054";"106054";"Zoology";""
+4;"106055";"106055";"Aerobiology";""
+4;"106056";"106056";"Biological anthropology";""
+4;"106057";"106057";"Metabolomics";""
+4;"106058";"106058";"Soil biology";""
+4;"106059";"106059";"Microbiome research";""
+4;"106060";"106060";"Animal ethics";""
+2;"107";"107";"Other Natural Sciences";""
+3;"1070";"1070";"Other Natural Sciences";""
+4;"107001";"107001";"Archaeometry";""
+4;"107002";"107002";"Bionics";""
+4;"107003";"107003";"History of natural sciences";""
+4;"107004";"107004";"Human ecology";""
+4;"107005";"107005";"Food testing";""
+4;"107006";"107006";"Nature conservation";""
+4;"107007";"107007";"Risk research";""
+4;"107008";"107008";"Archaeobotany";""
+4;"107009";"107009";"Archaeozoology";""
+4;"107010";"107010";"Geoarchaeology";""
+1;"2";"2";"TECHNICAL SCIENCES";""
+2;"201";"201";"Construction Engineering";""
+3;"2011";"2011";"Civil Engineering";""
+4;"201101";"201101";"Construction operation";""
+4;"201102";"201102";"Structural dynamics";""
+4;"201103";"201103";"Building physics";""
+4;"201104";"201104";"Structural analysis";""
+4;"201105";"201105";"Construction material practice";""
+4;"201106";"201106";"Structural engineering";""
+4;"201107";"201107";"Endurance strength";""
+4;"201108";"201108";"Fracture mechanics";""
+4;"201109";"201109";"Bridge construction";""
+4;"201110";"201110";"Strength of materials";""
+4;"201111";"201111";"River engineering";""
+4;"201112";"201112";"Building construction";""
+4;"201113";"201113";"Timber engineering";""
+4;"201114";"201114";"Industrial building";""
+4;"201115";"201115";"Structural hydraulic engineering";""
+4;"201116";"201116";"Agricultural civil engineering";""
+4;"201117";"201117";"Lightweight design";""
+4;"201118";"201118";"Urban water supply and sanitation";""
+4;"201119";"201119";"Steel construction";""
+4;"201120";"201120";"Reinforced concrete construction";""
+4;"201121";"201121";"Road construction";""
+4;"201122";"201122";"Technical flood protection";""
+4;"201123";"201123";"Underground engineering";""
+4;"201124";"201124";"Structural design";""
+4;"201125";"201125";"Hydraulic engineering";""
+4;"201126";"201126";"Hydropower plant construction";""
+4;"201127";"201127";"Torrent and avalanche control";""
+4;"201128";"201128";"Sustainable building";""
+4;"201129";"201129";"Earthquake engineering";""
+4;"201130";"201130";"Structural glass construction";""
+4;"201131";"201131";"Building history";""
+4;"201132";"201132";"Computational engineering";""
+3;"2012";"2012";"Architecture";""
+4;"201201";"201201";"History of architecture";""
+4;"201202";"201202";"Architectural modelling";""
+4;"201203";"201203";"Architectural theory";""
+4;"201204";"201204";"Barrier-free building";""
+4;"201205";"201205";"Building research";""
+4;"201206";"201206";"Designing";""
+4;"201207";"201207";"Building typology";""
+4;"201208";"201208";"Industrial architecture";""
+4;"201209";"201209";"Interior design";""
+4;"201210";"201210";"Landscape architecture";""
+4;"201211";"201211";"Solar architecture";""
+4;"201212";"201212";"Urban design";""
+4;"201213";"201213";"Housing";""
+4;"201214";"201214";"Experimental architecture";""
+4;"201215";"201215";"Building cultural heritage";""
+3;"2013";"2013";"Transportation";""
+4;"201301";"201301";"Railway construction";""
+4;"201302";"201302";"Railway engineering";""
+4;"201303";"201303";"Ropeways";""
+4;"201304";"201304";"Road construction";""
+4;"201305";"201305";"Traffic engineering";""
+4;"201306";"201306";"Traffic telematics";""
+4;"201307";"201307";"Transport economics";""
+3;"2019";"2019";"Construction Engineering not elsewhere classified";""
+4;"201901";"201901";"Old building renovation";""
+4;"201902";"201902";"Building ecology";""
+4;"201903";"201903";"Soil bioengineering";""
+4;"201904";"201904";"Vegetation technology";""
+4;"201905";"201905";"Building within existing structures";""
+4;"201906";"201906";"Building-integrated vegetation";""
+2;"202";"202";"Electrical Engineering, Electronics, Information Engineering";""
+3;"2020";"2020";"Electrical Engineering, Electronics, Information Engineering";""
+4;"202001";"202001";"Audio technology";""
+4;"202002";"202002";"Audiovisual media";""
+4;"202003";"202003";"Automation";""
+4;"202004";"202004";"Brain-computer interface";""
+4;"202005";"202005";"Computer architecture";""
+4;"202006";"202006";"Computer hardware";""
+4;"202007";"202007";"Computer integrated manufacturing (CIM)";""
+4;"202008";"202008";"Electrical power systems";""
+4;"202009";"202009";"Electrical drive engineering";""
+4;"202010";"202010";"Electric power engineering";""
+4;"202011";"202011";"Electrical machines";""
+4;"202012";"202012";"Electrical measurement technology";""
+4;"202013";"202013";"Electromagnetic compatibility";""
+4;"202014";"202014";"Electromagnetism";""
+4;"202015";"202015";"Electronics";""
+4;"202016";"202016";"Electrical engineering";""
+4;"202017";"202017";"Embedded systems";""
+4;"202018";"202018";"Semiconductor electronics";""
+4;"202019";"202019";"High frequency engineering";""
+4;"202020";"202020";"High voltage engineering";""
+4;"202021";"202021";"Industrial electronics";""
+4;"202022";"202022";"Information technology";""
+4;"202023";"202023";"Integrated circuits";""
+4;"202024";"202024";"Laser technology";""
+4;"202025";"202025";"Power electronics";""
+4;"202026";"202026";"Light technology";""
+4;"202027";"202027";"Mechatronics";""
+4;"202028";"202028";"Microelectronics";""
+4;"202029";"202029";"Microwave engineering";""
+4;"202030";"202030";"Communication engineering";""
+4;"202031";"202031";"Network engineering";""
+4;"202032";"202032";"Photovoltaics";""
+4;"202033";"202033";"Radar technology";""
+4;"202034";"202034";"Control engineering";""
+4;"202035";"202035";"Robotics";""
+4;"202036";"202036";"Sensor systems";""
+4;"202037";"202037";"Signal processing";""
+4;"202038";"202038";"Telecommunications";""
+4;"202039";"202039";"Theoretical electrical engineering";""
+4;"202040";"202040";"Transmission technology";""
+4;"202041";"202041";"Computer engineering";""
+4;"202042";"202042";"Optical communication engineering";""
+4;"202043";"202043";"Network security";""
+2;"203";"203";"Mechanical Engineering";""
+3;"2030";"2030";"Mechanical Engineering";""
+4;"203001";"203001";"Apparatus engineering";""
+4;"203002";"203002";"Endurance strength";""
+4;"203003";"203003";"Fracture mechanics";""
+4;"203004";"203004";"Automotive technology";""
+4;"203005";"203005";"Precision engineering";""
+4;"203006";"203006";"Production engineering";""
+4;"203007";"203007";"Strength of materials";""
+4;"203008";"203008";"Conveyor technology";""
+4;"203009";"203009";"Refrigeration engineering";""
+4;"203010";"203010";"Air conditioning technology";""
+4;"203011";"203011";"Lightweight design";""
+4;"203012";"203012";"Aerospace engineering";""
+4;"203013";"203013";"Mechanical engineering";""
+4;"203014";"203014";"Machine dynamics";""
+4;"203015";"203015";"Mechatronics";""
+4;"203016";"203016";"Measurement engineering";""
+4;"203017";"203017";"Micromechanics";""
+4;"203018";"203018";"Heavy machinery construction";""
+4;"203019";"203019";"Reactor technology";""
+4;"203020";"203020";"Welding engineering";""
+4;"203021";"203021";"Fluid-flow machinery";""
+4;"203022";"203022";"Technical mechanics";""
+4;"203023";"203023";"Thermal turbomachinery";""
+4;"203024";"203024";"Thermodynamics";""
+4;"203025";"203025";"Tribology";""
+4;"203026";"203026";"Forming";""
+4;"203027";"203027";"Internal combustion engines";""
+4;"203028";"203028";"Thermal engineering";""
+4;"203029";"203029";"Tool construction";""
+4;"203030";"203030";"Fuel cell technology";""
+4;"203031";"203031";"Engineering design";""
+4;"203032";"203032";"Additive manufacturing";""
+4;"203033";"203033";"Hydraulic drive technology";""
+4;"203034";"203034";"Continuum mechanics";""
+4;"203035";"203035";"Thermal processing technology";""
+4;"203036";"203036";"Weapons and munitions technology";""
+4;"203037";"203037";"Computational engineering";""
+4;"203038";"203038";"Ventilation technology";""
+2;"204";"204";"Chemical Process Engineering";""
+3;"2040";"2040";"Chemical Process Engineering";""
+4;"204001";"204001";"Inorganic chemical technology";""
+4;"204002";"204002";"Chemical reaction engineering";""
+4;"204003";"204003";"Chemical process engineering";""
+4;"204004";"204004";"Organic chemical technology";""
+4;"204005";"204005";"Refining technology";""
+4;"204006";"204006";"Mechanical process engineering";""
+4;"204007";"204007";"Thermal process engineering";""
+4;"204008";"204008";"Membrane technology";""
+2;"205";"205";"Materials Engineering";""
+3;"2050";"2050";"Materials Engineering";""
+4;"205001";"205001";"Building materials testing";""
+4;"205002";"205002";"Coating technology";""
+4;"205003";"205003";"Refractories";""
+4;"205004";"205004";"Functional materials";""
+4;"205005";"205005";"Ceramics engineering";""
+4;"205006";"205006";"Wood research";""
+4;"205007";"205007";"Wood preservatives";""
+4;"205008";"205008";"Wood technology";""
+4;"205009";"205009";"Ceramic materials";""
+4;"205010";"205010";"Anticorrosives";""
+4;"205011";"205011";"Polymer engineering";""
+4;"205012";"205012";"Polymer processing";""
+4;"205013";"205013";"Failure analysis";""
+4;"205014";"205014";"Textile technology";""
+4;"205015";"205015";"Composites";""
+4;"205016";"205016";"Materials testing";""
+4;"205017";"205017";"Materials engineering";""
+4;"205018";"205018";"Pulp and paper technology";""
+4;"205019";"205019";"Material sciences";""
+2;"206";"206";"Medical Engineering";""
+3;"2060";"2060";"Medical Engineering";""
+4;"206001";"206001";"Biomedical engineering";""
+4;"206002";"206002";"Electro-medical engineering";""
+4;"206003";"206003";"Medical physics";""
+4;"206004";"206004";"Medical engineering";""
+4;"206005";"206005";"Prosthetics";""
+4;"206006";"206006";"Rehabilitation technology";""
+2;"207";"207";"Environmental Engineering, Applied Geosciences";""
+3;"2071";"2071";"Environmental Engineering";""
+4;"207101";"207101";"Waste engineering";""
+4;"207102";"207102";"Exhaust air purification";""
+4;"207103";"207103";"Wastewater treatment";""
+4;"207104";"207104";"Remediation of contaminated sites";""
+4;"207105";"207105";"Landfill technology";""
+4;"207106";"207106";"Renewable energy";""
+4;"207107";"207107";"Air pollution control";""
+4;"207108";"207108";"Recycling";""
+4;"207109";"207109";"Pollutant emission";""
+4;"207110";"207110";"Technical environmental protection";""
+4;"207111";"207111";"Environmental engineering";""
+4;"207112";"207112";"Water treatment";""
+4;"207113";"207113";"Water infrastructure";""
+4;"207114";"207114";"Water management";""
+3;"2072";"2072";"Engineering Geology, Geotechnics";""
+4;"207201";"207201";"Soil mechanics";""
+4;"207202";"207202";"Earthworks";""
+4;"207203";"207203";"Rock mechanics";""
+4;"207204";"207204";"Geotechnics";""
+4;"207205";"207205";"Foundation engineering";""
+4;"207206";"207206";"Engineering geology";""
+4;"207207";"207207";"Tunnelling";""
+4;"207208";"207208";"Tunnel ventilation";""
+3;"2073";"2073";"Mining, Petroleum Engineering";""
+4;"207301";"207301";"Processing of mineral raw materials";""
+4;"207302";"207302";"Mining engineering";""
+4;"207303";"207303";"Mining damage";""
+4;"207304";"207304";"Natural gas production";""
+4;"207305";"207305";"Natural gas engineering";""
+4;"207306";"207306";"Petroleum geology";""
+4;"207307";"207307";"Petroleum production";""
+4;"207308";"207308";"Petroleum engineering";""
+4;"207309";"207309";"History of mining";""
+4;"207310";"207310";"Extraction of mineral raw materials";""
+4;"207311";"207311";"Economic geology";""
+4;"207312";"207312";"Mine surveying";""
+4;"207313";"207313";"Drilling engineering";""
+4;"207314";"207314";"Underground mining";""
+3;"2074";"2074";"Geodesy, Surveying";""
+4;"207401";"207401";"3D-surveying";""
+4;"207402";"207402";"Remote sensing";""
+4;"207403";"207403";"Geodesy";""
+4;"207404";"207404";"Geoinformatics";""
+4;"207405";"207405";"Engineering geodesy";""
+4;"207406";"207406";"Cartography";""
+4;"207407";"207407";"Cadastral surveying";""
+4;"207408";"207408";"Land surveying";""
+4;"207409";"207409";"Navigation systems";""
+4;"207410";"207410";"Photogrammetry";""
+4;"207411";"207411";"Satellite geodesy";""
+4;"207412";"207412";"Satellite-based coordinate measuring";""
+4;"207413";"207413";"Surveying";""
+3;"2079";"2079";"Environmental Engineering, Applied Geosciences not elsewhere classified";""
+4;"207901";"207901";"Offshore technology";""
+4;"207902";"207902";"Computational geosciences";""
+2;"208";"208";"Environmental Biotechnology";""
+3;"2080";"2080";"Environmental Biotechnology";""
+4;"208001";"208001";"Bioremediation";""
+4;"208002";"208002";"Environmental biotechnology related ethics";""
+4;"208003";"208003";"Environmental biotechnology";""
+2;"209";"209";"Industrial Biotechnology";""
+3;"2090";"2090";"Industrial Biotechnology";""
+4;"209001";"209001";"Biocatalysis";""
+4;"209002";"209002";"Bioprocess technology";""
+4;"209003";"209003";"Biofuels";""
+4;"209004";"209004";"Enzyme technology";""
+4;"209005";"209005";"Fermentation";""
+4;"209006";"209006";"Industrial biotechnology";""
+2;"210";"210";"Nanotechnology";""
+3;"2100";"2100";"Nanotechnology";""
+4;"210001";"210001";"Nanoanalytics";""
+4;"210002";"210002";"Nanobiotechnology";""
+4;"210003";"210003";"Nanoelectronics";""
+4;"210004";"210004";"Nanomaterials";""
+4;"210005";"210005";"Nanophotonics";""
+4;"210006";"210006";"Nanotechnology";""
+2;"211";"211";"Other Technical Sciences";""
+3;"2111";"2111";"Metallurgy";""
+4;"211101";"211101";"Iron and steel metallurgy";""
+4;"211102";"211102";"Casting technology";""
+4;"211103";"211103";"Physical metallurgy";""
+4;"211104";"211104";"Metallurgy";""
+4;"211105";"211105";"Nonferrous metallurgy";""
+4;"211106";"211106";"Light metals";""
+4;"211107";"211107";"Secondary metallurgy";""
+3;"2112";"2112";"Food Technology";""
+4;"211201";"211201";"Grain technology";""
+4;"211202";"211202";"Food technology";""
+4;"211203";"211203";"Food processing engineering";""
+4;"211204";"211204";"Meat technology";""
+3;"2119";"2119";"Technical Sciences not elsewhere classified";""
+4;"211901";"211901";"Waste prevention";""
+4;"211902";"211902";"Assistive technologies";""
+4;"211903";"211903";"Science of management";""
+4;"211904";"211904";"Biomechanics";""
+4;"211905";"211905";"Bionics";""
+4;"211906";"211906";"Fire protection";""
+4;"211907";"211907";"Energy saving";""
+4;"211908";"211908";"Energy research";""
+4;"211909";"211909";"Energy technology";""
+4;"211910";"211910";"Noise protection";""
+4;"211911";"211911";"Sustainable technologies";""
+4;"211912";"211912";"Product design";""
+4;"211913";"211913";"Quality assurance";""
+4;"211914";"211914";"Risk research";""
+4;"211915";"211915";"Solar technology";""
+4;"211916";"211916";"Blasting engineering";""
+4;"211917";"211917";"Technology assessment";""
+4;"211918";"211918";"Technical history";""
+4;"211919";"211919";"Thermography";""
+4;"211920";"211920";"Packaging technology";""
+4;"211921";"211921";"Civil protection and disaster control";""
+4;"211922";"211922";"Energy storage";""
+4;"211923";"211923";"Factory planning";""
+4;"211924";"211924";"Process and plant safety";""
+4;"211925";"211925";"Explosion research";""
+4;"211926";"211926";"Technology ethics";""
+1;"3";"3";"HUMAN MEDICINE, HEALTH SCIENCES";""
+2;"301";"301";"Medical-Theoretical Sciences, Pharmacy";""
+3;"3011";"3011";"Anatomy, Pathology, Physiology";""
+4;"301101";"301101";"General pathology";""
+4;"301102";"301102";"Anatomy";""
+4;"301103";"301103";"Medical diagnostics";""
+4;"301104";"301104";"Embryology";""
+4;"301105";"301105";"Experimental pathology";""
+4;"301106";"301106";"Functional anatomy";""
+4;"301107";"301107";"Histology";""
+4;"301108";"301108";"Molecular pathology";""
+4;"301109";"301109";"Pathophysiology";""
+4;"301110";"301110";"Physiology";""
+4;"301111";"301111";"Radiologic anatomy";""
+4;"301112";"301112";"Systematic anatomy";""
+4;"301113";"301113";"Topographic anatomy";""
+4;"301114";"301114";"Cell biology";""
+4;"301115";"301115";"Sonoanatomy";""
+3;"3012";"3012";"Pharmacy, Pharmacology, Toxicology";""
+4;"301201";"301201";"Pharmaceutical and drug analysis";""
+4;"301202";"301202";"History of pharmacy";""
+4;"301203";"301203";"Pharmacodynamics";""
+4;"301204";"301204";"Pharmacognosy";""
+4;"301205";"301205";"Pharmacokinetics";""
+4;"301206";"301206";"Pharmacology";""
+4;"301207";"301207";"Pharmaceutical chemistry";""
+4;"301208";"301208";"Pharmaceutical technology";""
+4;"301209";"301209";"Pharmacy";""
+4;"301210";"301210";"Psychopharmacology";""
+4;"301211";"301211";"Toxicology";""
+4;"301212";"301212";"Clinical pharmacy";""
+4;"301213";"301213";"Drug targeting";""
+4;"301214";"301214";"Biopharmacy";""
+4;"301215";"301215";"Drug safety";""
+3;"3013";"3013";"Medical Biochemistry, Human Genetics";""
+4;"301301";"301301";"Human genetics";""
+4;"301302";"301302";"Lipidomics research";""
+4;"301303";"301303";"Medical biochemistry";""
+4;"301304";"301304";"Medical biology";""
+4;"301305";"301305";"Medical chemistry";""
+4;"301306";"301306";"Medical molecular biology";""
+4;"301307";"301307";"Cytogenetics";""
+4;"301308";"301308";"Ageing research";""
+3;"3014";"3014";"Neurosciences";""
+4;"301401";"301401";"Brain research";""
+4;"301402";"301402";"Neurobiology";""
+4;"301403";"301403";"Neurochemistry";""
+4;"301404";"301404";"Neuroimmunology";""
+4;"301405";"301405";"Neuropathology";""
+4;"301406";"301406";"Neuropharmacology";""
+4;"301407";"301407";"Neurophysiology";""
+4;"301408";"301408";"Psychophysiology";""
+4;"301409";"301409";"Neuroanatomy";""
+3;"3019";"3019";"Medical-Theoretical Sciences not elsewhere classified";""
+4;"301901";"301901";"Blood group serology";""
+4;"301902";"301902";"Immunology";""
+4;"301903";"301903";"Vaccine development";""
+4;"301904";"301904";"Cancer research";""
+4;"301905";"301905";"Psychoneuroimmunology";""
+4;"301906";"301906";"Serology";""
+4;"301907";"301907";"Biobanking";""
+2;"302";"302";"Clinical Medicine";""
+3;"3020";"3020";"Clinical Medicine";""
+4;"302001";"302001";"Acupuncture";""
+4;"302002";"302002";"Allergology";""
+4;"302003";"302003";"General surgery";""
+4;"302004";"302004";"Anaesthesiology";""
+4;"302005";"302005";"Andrology";""
+4;"302006";"302006";"Angiology";""
+4;"302007";"302007";"Ophthalmology";""
+4;"302008";"302008";"Balneology";""
+4;"302009";"302009";"Chemotherapy";""
+4;"302010";"302010";"Computed tomography (CT)";""
+4;"302011";"302011";"Dermatology";""
+4;"302012";"302012";"Diabetology";""
+4;"302013";"302013";"Medical diagnostics";""
+4;"302014";"302014";"Endocrinology";""
+4;"302015";"302015";"Experimental surgery";""
+4;"302016";"302016";"Gastroenterology";""
+4;"302017";"302017";"Obstetrics";""
+4;"302018";"302018";"Vascular surgery";""
+4;"302019";"302019";"Geriatrics";""
+4;"302020";"302020";"Gerontology";""
+4;"302021";"302021";"History of psychiatry";""
+4;"302022";"302022";"Gynaecology";""
+4;"302023";"302023";"Ear, nose and throat medicine";""
+4;"302024";"302024";"Haematology";""
+4;"302025";"302025";"Hepatology";""
+4;"302026";"302026";"Heart surgery";""
+4;"302027";"302027";"Hearing, voice and language disorders";""
+4;"302028";"302028";"Hyperbaric medicine";""
+4;"302029";"302029";"Implantology";""
+4;"302030";"302030";"Internal medicine";""
+4;"302031";"302031";"Intensive care medicine";""
+4;"302032";"302032";"Cardiology";""
+4;"302033";"302033";"Jaw surgery";""
+4;"302034";"302034";"Orthodontics";""
+4;"302035";"302035";"Paediatrics and adolescent medicine";""
+4;"302036";"302036";"Child and adolescent psychiatry";""
+4;"302037";"302037";"Paediatric surgery";""
+4;"302038";"302038";"Clinical neuropsychology";""
+4;"302039";"302039";"Complementary medicine";""
+4;"302040";"302040";"Laboratory diagnostics";""
+4;"302041";"302041";"Laser surgery";""
+4;"302042";"302042";"Logopedics";""
+4;"302043";"302043";"Magnetic resonance imaging (MRI)";""
+4;"302044";"302044";"Medical physics";""
+4;"302045";"302045";"Medical psychology";""
+4;"302046";"302046";"Medical psychotherapy";""
+4;"302047";"302047";"Microsurgery";""
+4;"302048";"302048";"Minimally invasive surgery";""
+4;"302049";"302049";"Neonatology";""
+4;"302050";"302050";"Nephrology";""
+4;"302051";"302051";"Neurosurgery";""
+4;"302052";"302052";"Neurology";""
+4;"302053";"302053";"Emergency medicine";""
+4;"302054";"302054";"Nuclear medicine";""
+4;"302055";"302055";"Oncology";""
+4;"302056";"302056";"Oncological surgery";""
+4;"302057";"302057";"Orthopaedics";""
+4;"302058";"302058";"Palliative medicine";""
+4;"302059";"302059";"Periodontology";""
+4;"302060";"302060";"Perinatology";""
+4;"302061";"302061";"Physical medicine";""
+4;"302062";"302062";"Plastic and reconstructive surgery";""
+4;"302063";"302063";"Multiple trauma care";""
+4;"302064";"302064";"Prenatal diagnostics";""
+4;"302065";"302065";"Clinical psychiatry";""
+4;"302066";"302066";"Psychopathology";""
+4;"302067";"302067";"Psychosomatics";""
+4;"302068";"302068";"Pulmology";""
+4;"302069";"302069";"Radiosurgery";""
+4;"302070";"302070";"Radiodiagnostics";""
+4;"302071";"302071";"Radiology";""
+4;"302072";"302072";"Rheumatology";""
+4;"302073";"302073";"Sleep medicine";""
+4;"302074";"302074";"Pain medicine";""
+4;"302075";"302075";"Sonography";""
+4;"302076";"302076";"Social psychiatry";""
+4;"302077";"302077";"Stem cell transplantation";""
+4;"302078";"302078";"Metabolic diseases";""
+4;"302079";"302079";"Radiation protection";""
+4;"302080";"302080";"Radiotherapy";""
+4;"302081";"302081";"Thoracic surgery";""
+4;"302082";"302082";"Transfusion medicine";""
+4;"302083";"302083";"Transplant surgery";""
+4;"302084";"302084";"Transplantation medicine";""
+4;"302085";"302085";"Trauma surgery";""
+4;"302086";"302086";"Urology";""
+4;"302087";"302087";"Venereology";""
+4;"302088";"302088";"Dentistry";""
+4;"302089";"302089";"Reproductive medicine";""
+4;"302090";"302090";"General practice";""
+4;"302091";"302091";"Immunotherapy";""
+4;"302092";"302092";"Oral surgery";""
+4;"302093";"302093";"Restorative dentistry";""
+2;"303";"303";"Health Sciences";""
+3;"3030";"3030";"Health Sciences";""
+4;"303001";"303001";"Occupational medicine";""
+4;"303002";"303002";"Bacteriology";""
+4;"303003";"303003";"Occupational diseases";""
+4;"303004";"303004";"Kinesiology";""
+4;"303005";"303005";"Sports biomechanics";""
+4;"303006";"303006";"Dietetics";""
+4;"303007";"303007";"Epidemiology";""
+4;"303008";"303008";"Ergonomics";""
+4;"303009";"303009";"Nutritional sciences";""
+4;"303010";"303010";"Health economics";""
+4;"303011";"303011";"Health policy";""
+4;"303012";"303012";"Health sciences";""
+4;"303013";"303013";"Hygiene";""
+4;"303014";"303014";"Vaccine protection";""
+4;"303015";"303015";"Hospital hygiene";""
+4;"303016";"303016";"Hospital management";""
+4;"303017";"303017";"Food hygiene";""
+4;"303018";"303018";"Air hygiene";""
+4;"303019";"303019";"Medical ethics";""
+4;"303020";"303020";"Medical microbiology";""
+4;"303021";"303021";"Medical rehabilitation";""
+4;"303022";"303022";"Palliative care";""
+4;"303023";"303023";"Parasitology";""
+4;"303024";"303024";"Nursing science";""
+4;"303025";"303025";"Preventive medicine";""
+4;"303026";"303026";"Public health";""
+4;"303027";"303027";"Social medicine";""
+4;"303028";"303028";"Sport science";""
+4;"303029";"303029";"Addiction research";""
+4;"303030";"303030";"Training science";""
+4;"303031";"303031";"Tropical medicine";""
+4;"303032";"303032";"Environmental hygiene";""
+4;"303033";"303033";"Environmental medicine";""
+4;"303034";"303034";"Virology";""
+4;"303035";"303035";"Water hygiene";""
+4;"303036";"303036";"Patient safety";""
+4;"303037";"303037";"Occupational therapy";""
+4;"303038";"303038";"Physiotherapy";""
+4;"303039";"303039";"Radiological technology";""
+4;"303040";"303040";"Health services research";""
+2;"304";"304";"Medical Biotechnology";""
+3;"3040";"3040";"Medical Biotechnology";""
+4;"304001";"304001";"Medical biotechnology related ethics";""
+4;"304002";"304002";"Genetic diagnostics";""
+4;"304003";"304003";"Genetic engineering";""
+4;"304004";"304004";"Gene therapy";""
+4;"304005";"304005";"Medical biotechnology";""
+4;"304006";"304006";"Pharmacogenomics";""
+4;"304007";"304007";"Tissue engineering";""
+4;"304008";"304008";"Regenerative medicine";""
+2;"305";"305";"Other Human Medicine, Health Sciences";""
+3;"3051";"3051";"Forensic Medicine";""
+4;"305101";"305101";"Bloodstain pattern analysis";""
+4;"305102";"305102";"DNA analysis (Forensic medicine)";""
+4;"305103";"305103";"Forensic biology";""
+4;"305104";"305104";"Forensic chemistry";""
+4;"305105";"305105";"Forensic psychiatry";""
+4;"305106";"305106";"Forensic radiology";""
+4;"305107";"305107";"Forensic toxicology";""
+4;"305108";"305108";"Forensic human medicine";""
+4;"305109";"305109";"Forensic anthropology";""
+3;"3059";"3059";"Human Medicine, Health Sciences not elsewhere classified";""
+4;"305901";"305901";"Computer-aided diagnosis and therapy";""
+4;"305902";"305902";"Gender medicine";""
+4;"305903";"305903";"History of medicine";""
+4;"305904";"305904";"Medical documentation";""
+4;"305905";"305905";"Medical informatics";""
+4;"305906";"305906";"Medical cybernetics";""
+4;"305907";"305907";"Medical statistics";""
+4;"305908";"305908";"Sports medicine";""
+4;"305909";"305909";"Stress research";""
+4;"305910";"305910";"Traffic medicine";""
+1;"4";"4";"AGRICULTURAL SCIENCES, VETERINARY MEDICINE";""
+2;"401";"401";"Agriculture and Forestry, Fishery";""
+3;"4011";"4011";"Cultivation of Land, Horticulture";""
+4;"401101";"401101";"Cultivation of land";""
+4;"401102";"401102";"Irrigation management";""
+4;"401103";"401103";"Horticulture";""
+4;"401104";"401104";"Vegetable growing";""
+4;"401105";"401105";"Grain cultivation";""
+4;"401106";"401106";"Landscape conservation";""
+4;"401107";"401107";"Agricultural engineering";""
+4;"401108";"401108";"Fruit growing";""
+4;"401109";"401109";"Organic farming";""
+4;"401110";"401110";"Plant cultivation";""
+4;"401111";"401111";"Plant nutrition";""
+4;"401112";"401112";"Plant protection";""
+4;"401113";"401113";"Plant breeding";""
+4;"401114";"401114";"Seed breeding";""
+4;"401115";"401115";"Seed cultivation";""
+4;"401116";"401116";"Special crops";""
+4;"401117";"401117";"Viticulture";""
+4;"401118";"401118";"Cultivation of ornamental plants";""
+4;"401119";"401119";"Field forage growing";""
+3;"4012";"4012";"Forestry and Wood Industry";""
+4;"401201";"401201";"Forest entomology";""
+4;"401202";"401202";"Forest pathology";""
+4;"401203";"401203";"Forest protection";""
+4;"401204";"401204";"Forest engineering";""
+4;"401205";"401205";"Forestry";""
+4;"401206";"401206";"Wood industry";""
+4;"401207";"401207";"Silviculture";""
+4;"401208";"401208";"Forest ecology";""
+4;"401209";"401209";"Forest growth";""
+3;"4019";"4019";"Agriculture and Forestry, Fishery not elsewhere classified";""
+4;"401901";"401901";"Soil erosion";""
+4;"401902";"401902";"Soil science";""
+4;"401903";"401903";"Fishery";""
+4;"401904";"401904";"History of agriculture and forestry";""
+4;"401905";"401905";"Renewable resources";""
+4;"401906";"401906";"Game management";""
+2;"402";"402";"Animal Breeding, Animal Production";""
+3;"4020";"4020";"Animal Breeding, Animal Production";""
+4;"402001";"402001";"Apiology";""
+4;"402002";"402002";"Ichthyology";""
+4;"402003";"402003";"Meat hygiene";""
+4;"402004";"402004";"Meat production";""
+4;"402005";"402005";"Feed analysis";""
+4;"402006";"402006";"Pet breeding";""
+4;"402007";"402007";"Apiculture";""
+4;"402008";"402008";"Artificial insemination";""
+4;"402009";"402009";"Food testing";""
+4;"402010";"402010";"Milk hygiene";""
+4;"402011";"402011";"Milk production";""
+4;"402012";"402012";"Livestock ethology";""
+4;"402013";"402013";"Animal nutrition";""
+4;"402014";"402014";"Animal husbandry";""
+4;"402015";"402015";"Animal production";""
+4;"402016";"402016";"Animal welfare";""
+4;"402017";"402017";"Animal breeding";""
+4;"402018";"402018";"Laboratory animal science";""
+2;"403";"403";"Veterinary Medicine";""
+3;"4030";"4030";"Veterinary Medicine";""
+4;"403001";"403001";"Veterinary anaesthesiology";""
+4;"403002";"403002";"Veterinary anatomy";""
+4;"403003";"403003";"Veterinary andrology";""
+4;"403004";"403004";"Veterinary ophthalmology";""
+4;"403005";"403005";"Veterinary bacteriology";""
+4;"403006";"403006";"Veterinary diagnostic imaging";""
+4;"403007";"403007";"Veterinary surgery";""
+4;"403008";"403008";"Veterinary diagnostics";""
+4;"403009";"403009";"Veterinary embryology";""
+4;"403010";"403010";"Veterinary obstetrics";""
+4;"403011";"403011";"Forensic veterinary medicine";""
+4;"403012";"403012";"History of veterinary medicine";""
+4;"403013";"403013";"Veterinary gynaecology";""
+4;"403014";"403014";"Veterinary histology";""
+4;"403015";"403015";"Veterinary hygiene";""
+4;"403016";"403016";"Veterinary immunology";""
+4;"403017";"403017";"Veterinary internal medicine";""
+4;"403018";"403018";"Veterinary laboratory diagnostics";""
+4;"403019";"403019";"Veterinary medical biochemistry";""
+4;"403020";"403020";"Veterinary medical chemistry";""
+4;"403021";"403021";"Veterinary neurology";""
+4;"403022";"403022";"Veterinary orthopaedics";""
+4;"403023";"403023";"Veterinary parasitology";""
+4;"403024";"403024";"Veterinary pathology";""
+4;"403025";"403025";"Veterinary pharmacology";""
+4;"403026";"403026";"Veterinary physiology";""
+4;"403027";"403027";"Veterinary phytotherapy";""
+4;"403028";"403028";"Animal nutrition";""
+4;"403029";"403029";"Control of animal diseases";""
+4;"403030";"403030";"Veterinary toxicology";""
+4;"403031";"403031";"Veterinary virology";""
+4;"403032";"403032";"Veterinary dentistry";""
+4;"403033";"403033";"Veterinary regenerative medicine";""
+4;"403034";"403034";"Veterinary pain medicine";""
+4;"403035";"403035";"Herd health management";""
+4;"403036";"403036";"Veterinary critical care medicine";""
+2;"404";"404";"Agricultural Biotechnology, Food Biotechnology";""
+3;"4040";"4040";"Agricultural Biotechnology, Food Biotechnology";""
+4;"404001";"404001";"Agricultural biotechnology";""
+4;"404002";"404002";"Biopharming";""
+4;"404003";"404003";"Agricultural and food biotechnology related ethics";""
+4;"404004";"404004";"Fermentation";""
+4;"404005";"404005";"Fermentation technology";""
+4;"404006";"404006";"Genetic engineering";""
+4;"404007";"404007";"Food biotechnology";""
+2;"405";"405";"Other Agricultural Sciences";""
+3;"4050";"4050";"Other Agricultural Sciences";""
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+4;"405003";"405003";"Agricultural policy";""
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+4;"501017";"501017";"Psychoanalysis";""
+4;"501018";"501018";"Psychological diagnostics";""
+4;"501019";"501019";"Psychotherapy";""
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+4;"501023";"501023";"Depth psychology";""
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+4;"503012";"503012";"Subject didactics of human medicine and health sciences";""
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+4;"505051";"505051";"Legal ethics";""
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+2;"506";"506";"Political Science";""
+3;"5060";"5060";"Political Science";""
+4;"506001";"506001";"General theory of the state";""
+4;"506002";"506002";"E-government";""
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+4;"507012";"507012";"Spatial structure";""
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+4;"507017";"507017";"Social geography";""
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+4;"509018";"509018";"Knowledge management";""
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+3;"6020";"6020";"Linguistics and Literature";""
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+4;"602002";"602002";"Egyptology";""
+4;"602003";"602003";"General literature studies";""
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+4;"602013";"602013";"Sign language research";""
+4;"602014";"602014";"German studies";""
+4;"602015";"602015";"Greek studies";""
+4;"602016";"602016";"Hermeneutics";""
+4;"602017";"602017";"Indo-European studies";""
+4;"602018";"602018";"Indology";""
+4;"602019";"602019";"Iranian studies";""
+4;"602020";"602020";"Japanese studies";""
+4;"602021";"602021";"Yiddish studies";""
+4;"602022";"602022";"Jewish studies";""
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+4;"602028";"602028";"Korean studies";""
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+4;"602051";"602051";"Translation studies";""
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+4;"603102";"603102";"Epistemology";""
+4;"603103";"603103";"Ethics";""
+4;"603104";"603104";"History of philosophy";""
+4;"603105";"603105";"Philosophy of history";""
+4;"603106";"603106";"Hermeneutics";""
+4;"603107";"603107";"Critique of ideology";""
+4;"603108";"603108";"Cultural philosophy";""
+4;"603109";"603109";"Logic";""
+4;"603110";"603110";"Metaphysics";""
+4;"603111";"603111";"Natural philosophy";""
+4;"603112";"603112";"Phenomenology";""
+4;"603113";"603113";"Philosophy";""
+4;"603114";"603114";"Philosophy of mind";""
+4;"603115";"603115";"Philosophical anthropology";""
+4;"603116";"603116";"Political philosophy";""
+4;"603117";"603117";"Philosophy of law";""
+4;"603118";"603118";"Philosophy of religion";""
+4;"603119";"603119";"Social philosophy";""
+4;"603120";"603120";"Philosophy of language";""
+4;"603121";"603121";"Political philosophy";""
+4;"603122";"603122";"Philosophy of technology";""
+4;"603123";"603123";"History of science";""
+4;"603124";"603124";"Theory of science";""
+4;"603125";"603125";"Metaethics";""
+4;"603126";"603126";"Intercultural philosophy";""
+3;"6032";"6032";"Theology";""
+4;"603201";"603201";"Old Testament studies";""
+4;"603202";"603202";"Christian archaeology";""
+4;"603203";"603203";"Christian philosophy";""
+4;"603204";"603204";"Christian social ethics";""
+4;"603205";"603205";"Dogmatic theology";""
+4;"603206";"603206";"Fundamental theology";""
+4;"603207";"603207";"Homiletics";""
+4;"603208";"603208";"Intercultural theology";""
+4;"603209";"603209";"Canon law";""
+4;"603210";"603210";"Catechetics";""
+4;"603211";"603211";"Church history";""
+4;"603212";"603212";"Liturgical studies";""
+4;"603213";"603213";"Moral theology";""
+4;"603214";"603214";"New Testament studies";""
+4;"603215";"603215";"Ecumenical theology";""
+4;"603216";"603216";"Pastoral psychology";""
+4;"603217";"603217";"Pastoral theology";""
+4;"603218";"603218";"Patrology";""
+4;"603219";"603219";"Practical theology";""
+4;"603220";"603220";"Pastoral care";""
+4;"603221";"603221";"Spiritual theology";""
+4;"603222";"603222";"Systematic theology";""
+4;"603223";"603223";"Theological anthropology";""
+3;"6039";"6039";"Religion, Religious Studies not elsewhere classified";""
+4;"603901";"603901";"Atheism";""
+4;"603902";"603902";"Buddhism";""
+4;"603903";"603903";"Exegesis";""
+4;"603904";"603904";"Hinduism";""
+4;"603905";"603905";"Islam";""
+4;"603906";"603906";"Jewish religion";""
+4;"603907";"603907";"Church law";""
+4;"603908";"603908";"History of religion";""
+4;"603909";"603909";"Religious studies";""
+4;"603910";"603910";"Psychology of religion";""
+2;"604";"604";"Arts";""
+3;"6040";"6040";"Arts";""
+4;"604001";"604001";"Applied arts";""
+4;"604002";"604002";"Architectural design";""
+4;"604003";"604003";"Performance practice";""
+4;"604004";"604004";"Fine arts";""
+4;"604005";"604005";"Stage design";""
+4;"604006";"604006";"Performing arts";""
+4;"604007";"604007";"Historic preservation";""
+4;"604008";"604008";"Design";""
+4;"604009";"604009";"Ethnomusicology";""
+4;"604010";"604010";"Film design";""
+4;"604011";"604011";"Film studies";""
+4;"604012";"604012";"Photography";""
+4;"604013";"604013";"Garden art";""
+4;"604014";"604014";"Singing";""
+4;"604015";"604015";"Industrial design";""
+4;"604016";"604016";"Jazz studies";""
+4;"604017";"604017";"Church music";""
+4;"604018";"604018";"Conservation, restoration";""
+4;"604019";"604019";"Art history";""
+4;"604020";"604020";"Art theory";""
+4;"604021";"604021";"Media arts";""
+4;"604022";"604022";"Music history";""
+4;"604023";"604023";"Music theory";""
+4;"604024";"604024";"Musicology";""
+4;"604025";"604025";"Popular music studies";""
+4;"604026";"604026";"Spatial arts";""
+4;"604027";"604027";"Scenography";""
+4;"604028";"604028";"Dance studies";""
+4;"604029";"604029";"Theatre studies";""
+4;"604030";"604030";"Folk music research";""
+4;"604031";"604031";"Historical technology";""
+4;"604032";"604032";"Instrumental studies";""
+4;"604033";"604033";"Composition";""
+4;"604034";"604034";"Music theatre";""
+4;"604035";"604035";"Organ research";""
+4;"604036";"604036";"Provenance research";""
+4;"604037";"604037";"Collection care";""
+4;"604038";"604038";"Digital arts";""
+4;"604039";"604039";"Computer music";""
+4;"604040";"604040";"Interpretation research";""
+4;"604041";"604041";"Fashion design";""
+2;"605";"605";"Other Humanities";""
+3;"6050";"6050";"Other Humanities";""
+4;"605001";"605001";"History of humanities";""
+4;"605002";"605002";"Cultural history";""
+4;"605003";"605003";"Cultural economics";""
+4;"605004";"605004";"Cultural studies";""
+4;"605005";"605005";"Audience research";""
+4;"605006";"605006";"Cultural management";""
+4;"605007";"605007";"Digital humanities";""
+4;"605008";"605008";"Cultural heritage";""
diff --git a/oeaplatform/metaingest/perl/lib/App.pm b/oeaplatform/metaingest/perl/lib/App.pm
new file mode 100644
index 0000000000000000000000000000000000000000..c2c5421a0362101d378c7a2afc7109458ce2c9f2
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App.pm
@@ -0,0 +1,285 @@
+package App;
+
+# workout queues
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use YAML::Syck;
+use FindBin;
+use lib "$FindBin::Bin";
+use App::Logger;
+use App::Type::Openlib;
+use App::Type::Phaidra;
+use App::Type::OAIIngest_DC;
+use App::Type::OAIIngest_LOM_edusharing; # for uibk and uni-graz
+use App::Type::OAIIngest_LOM_invenio; # for tugraz
+use App::Type::dummy;
+use LWP::Simple;
+use List::MoreUtils qw/none/;
+use Net::AMQP::RabbitMQ;
+use Time::HiRes qw/sleep/;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_ctrl} = $args{ctrl} or croak "no ctrl given";
+ $self->{_queues} = $args{queues} or croak "no queues given";
+
+ bless($self, $class);
+
+ $self->_init();
+ $self->_sanity();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_ctrl}->{log}->{path}.'/'.$self->{_ctrl}->{log}->{filename},
+ debug => defined $self->{_ctrl}->{debug} ? $self->{_ctrl}->{debug} : 1,
+ verbosity => defined $self->{_ctrl}->{verbosity} ? $self->{_ctrl}->{verbosity} : 2,
+ );
+
+ return;
+}
+
+sub _sanity {
+ my ($self) = @_;
+ croak "_sanity is private" if caller() ne __PACKAGE__;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ # config
+ my $sanity = YAML::Syck::LoadFile("$FindBin::Bin/etc/queues/sanity.yml");
+
+ $logger->info('sanity check start', 2);
+ $logger->debug('_ctrl ' . Dumper( $self->{_ctrl} ) );
+ $logger->debug('_queues ' . Dumper( $self->{_queues} ) );
+
+ QUEUE:
+ for my $queue ( keys %{$self->{_queues}} ) {
+ croak "sanity check died, unknown queue type |$self->{_queues}->{ $queue }->{type}|"
+ if none { $_ eq $self->{_queues}->{ $queue }->{type} } @{$sanity->{types}};
+ }
+
+ $logger->info('sanity check done', 2);
+
+ return;
+}
+
+# return: SCALAR; 0:no error, 1:error
+sub run {
+ my ($self) = @_;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('App start');
+
+ # to monitor failure of eval block
+ # this method shall not die/croak
+ my $error;
+
+ eval {
+
+ $logger->info('App workout start', 1);
+
+ $logger->info("sleep pre |$self->{_ctrl}->{sleep}->{pre}|", 1);
+ sleep $self->{_ctrl}->{sleep}->{pre};
+
+ # MessageQueue source
+ $logger->info('mq Net::AMQP::RabbitMQ->new', 2);
+ my $mq = Net::AMQP::RabbitMQ->new();
+ $logger->info('mq connect', 2);
+ $mq->connect(
+ # hostname
+ $self->{_ctrl}->{mq}->{host},
+ # options
+ {
+ port => $self->{_ctrl}->{mq}->{port},
+ user => $self->{_ctrl}->{mq}->{user},
+ password => _slurp( $self->{_ctrl}->{mq}->{pass} ),
+ vhost => $self->{_ctrl}->{mq}->{vhost},
+ timeout => 5, # <42> seconds, default undef
+ },
+ );
+ $logger->info('mq channel_open', 2);
+ $mq->channel_open(1);
+
+ $logger->info("mq basic_qos prefetch_count |$self->{_ctrl}->{mq}->{prefetch_count}|", 2);
+ $mq->basic_qos(
+ # channel
+ 1,
+ # options
+ {
+ prefetch_count => $self->{_ctrl}->{mq}->{prefetch_count},
+ },
+ );
+
+ # filter out queuename 'dummy'
+ $logger->info('queues', 2);
+ my @queues;
+ QUEUE:
+ for my $queue ( keys %{$self->{_queues}} ) {
+ next QUEUE if $self->{_queues}->{ $queue }->{type} eq 'dummy';
+ push @queues, $queue;
+ }
+ $logger->debug('queues ' . Dumper( \@queues ) );
+
+ $logger->info('mq consume', 2);
+ QUEUENAME:
+ for my $queuename ( @queues ) {
+ $logger->info("mq consume queuename |$queuename|", 2);
+ my $consumer_tag = $mq->consume(
+ # channel
+ 1,
+ # queuename
+ $queuename,
+ # options
+ {
+ no_ack => 0, # default 1
+ },
+ );
+ $logger->info("consumer_tag |$consumer_tag|", 2);
+ }
+
+ # init obj class 'App::Type::/type/'
+ # store objs->{ /queue/ } = obj
+ # /queue/ == msg /routing_key/
+ # hence, retreive obj via objs->{ /routing_key/ }->run()
+ $logger->info('objs', 2);
+ my $objs;
+ QUEUE:
+ for my $queue ( keys %{$self->{_queues}} ) {
+ $logger->info("queue |$queue|", 2);
+
+ my $type = $self->{_queues}->{ $queue }->{type};
+ $logger->info("type |$type|", 2);
+
+ my $class = 'App::Type::'.$type;
+ $logger->info("class |$class|", 2);
+
+ $logger->info('obj App::Type::'.$type.'->new', 2);
+ my $obj = $class->new(
+ cfg => $self->{_queues}->{ $queue }->{cfg},
+ );
+ $objs->{ $queue } = $obj;
+ }
+
+ # UserAgent target
+ $logger->info('ua LWP::UserAgent->new', 2);
+ my $ua = LWP::UserAgent->new();
+ $ua->timeout(10);
+
+ # objects max
+ if ( $self->{_ctrl}->{objects}->{max} ) {
+ $logger->info("objects max |$self->{_ctrl}->{objects}->{max}|", 2 );
+ }
+
+ $logger->info('recv start', 1);
+
+ my $c = 0; # count objects
+ $logger->info('receiving ..', 2);
+ RECV:
+ while ( !$main::term && ( my $msg = $mq->recv() ) ) {
+
+ $logger->info('msg received', 2);
+ $logger->debug('msg ' . Dumper( $msg ) );
+
+ $logger->info('msg workout start', 2);
+
+ $logger->info("msg routing_key |$msg->{routing_key}|", 2);
+ $logger->info("msg delivery_tag |$msg->{delivery_tag}|", 2);
+
+ $logger->info("msg routing_key |$msg->{routing_key}| start", 2);
+ $objs->{ $msg->{routing_key} }->run(
+ ua => $ua,
+ msg => $msg,
+ );
+ $logger->info("msg routing_key |$msg->{routing_key}| done", 2);
+
+ $logger->info("mq ack delivery_tag |$msg->{delivery_tag}|", 2);
+ $mq->ack(
+ # channel
+ 1,
+ # delivery_tag
+ $msg->{delivery_tag},
+ );
+
+ $logger->info('msg workout done', 2);
+
+ $c++;
+ $logger->info("c |$c|", 2);
+
+ # objects max
+ if ( $self->{_ctrl}->{objects}->{max} ) {
+ if ( $c >= $self->{_ctrl}->{objects}->{max} ) {
+ $logger->info('c >= objects max', 2);
+ $logger->info('last recv', 2);
+ last RECV;
+ }
+ }
+
+ $logger->info("sleep batch |$self->{_ctrl}->{sleep}->{batch}|", 2);
+ sleep $self->{_ctrl}->{sleep}->{batch};
+
+ $logger->info('receiving ..', 2);
+
+ } # while ( !$main::term && ( my $msg = $mq->recv() ) )
+
+ $logger->warning('SIG via main::term received', 2) if $main::term;
+
+ $logger->info('recv done', 1);
+
+ $logger->info("c |$c|", 1);
+
+ $logger->info('mq disconnect', 2);
+ $mq->disconnect();
+
+ $logger->info('App workout done', 1);
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $error++;
+ $logger->error("App died |$syntax_error_message|");
+ }
+
+ $logger->info('App done');
+
+ return $error ? 1 : 0;
+}
+
+sub _slurp {
+ my ($file) = @_;
+
+ my $slurp;
+ open my $fh, '<', $file or croak "no open at file |$file|, |$!|";
+ do {
+ local $/;
+ $slurp = <$fh>;
+ };
+ close $fh or carp "no close at file |$file|, |$!|";
+ chomp $slurp;
+
+ return $slurp;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaingest/perl/lib/App/Logger.pm b/oeaplatform/metaingest/perl/lib/App/Logger.pm
new file mode 100644
index 0000000000000000000000000000000000000000..8843cb51610a9069db47417d017e0c63f7b94f0a
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Logger.pm
@@ -0,0 +1,121 @@
+package App::Logger;
+
+# debug: write if /debug/
+# info: write
+# warning: write
+# error: write
+# fatal: write
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use Sys::Hostname;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_file} = $args{file} or croak "no file given";
+ # optional
+ $self->{_debug} = $args{debug} ? 1 : 0;
+ $self->{_verbosity} = $args{verbosity};
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # settings
+ $self->{_user} = $ENV{USER} || '<undef>';
+ $self->{_hostname} = $ENV{HOSTNAME} || hostname() || '<undef>';
+
+ # levels
+ my $levels = {
+ debug => { on_debug_only => 1 },
+ info => {},
+ warning => {},
+ error => {},
+ fatal => {},
+ };
+
+ # create subs on the fly
+ LEVEL:
+ for my $level ( keys %$levels ) {
+
+ # define sub /level/
+ my $sub = sub {
+ my ($self, $msg, $verbosity) = @_;
+ $verbosity ||= 0;
+
+ # act according to /verbosity/
+ if ( $self->{_verbosity} >= $verbosity ) {
+
+ # some /level/ should write /on_debug_only/ if /_debug/
+ if ( $levels->{ $level }->{on_debug_only} ) {
+ $self->_write($msg, $level) if $self->{_debug};
+ }
+ else {
+ $self->_write($msg, $level);
+ }
+
+ # put extra /level/ stuff here ..
+
+ }
+
+ return;
+ };
+
+ # create sub /level/
+ do {
+ no strict 'refs';
+ no warnings 'redefine';
+ *{$level} = $sub;
+ };
+
+ } # LEVEL
+
+ return;
+}
+
+sub _write {
+ my ($self, $msg, $level) = @_;
+ croak "_write is private" if caller() ne __PACKAGE__;
+
+ $msg ||= '';
+ chomp $msg;
+
+ my $scalar_localtime = scalar localtime;
+ my $pid = $$;
+
+ my $message = $scalar_localtime # timestamp
+ . ' ' # whitespace
+ . "[$self->{_hostname}]" # hostname
+ . ' ' # whitespace
+ . "[$pid] [$level]" # info
+ . ( $self->{_debug} ? ' {debug}' : '' ) # debug?
+ . ': ' # separator, whitespace
+ . $msg # msg
+ . "\n" # newline
+ ;
+
+ open my $fh, '>>', $self->{_file} or croak "no open at file |$self->{_file}|, |$!|";
+ print $fh $message or croak "no print at file |$self->{_file}|, |$!|";
+ close $fh or carp "no close at file |$self->{_file}|, |$!|";
+
+ return;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_edusharing.pm b/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_edusharing.pm
new file mode 100644
index 0000000000000000000000000000000000000000..4e28b66018f90cf527f8ff243eceb272155c03a4
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_edusharing.pm
@@ -0,0 +1,109 @@
+package App::Type::LOMIngest_edusharing;
+
+use strict;
+use warnings;
+
+our (@ISA, @EXPORT, @EXPORT_OK, %EXPORT_TAGS, $VERSION);
+use Exporter;
+
+$VERSION = 0.01;
+@ISA = qw(Exporter);
+@EXPORT = qw(getPublishers getId getAbstract getLangAbstract getAbstractMostRelated getTitle getTitleMostRelated getTitleLangList getLangTitle getLanguageList getDirectLink getLicense getCreated getOefosList getOefosId onlyOefosSubCategories getFormat getTechnicalFormat getLearningRTList getAuthors getThumbnailUrl ingestTimeStamp today);
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+
+use App::Type::LOMIngest_general;
+
+print "I am in package: ".__PACKAGE__."\n";
+
+# overrides getAuthors from LOMIngest_general
+sub getAuthors {
+ my ($lomData) = @_;
+ my $role = 'Author';
+ my $lifecycle = $lomData->{lifecycle};
+ my $fullName = '';
+ my $org = '';
+ my $author = '';
+ my @authors = ();
+ for my $contribute ( @{$lifecycle->{contributes}} ) {
+ if ( $contribute->{role}->{value} eq $role ) {
+ for my $centity ( @{$contribute->{centities}} ) {
+ $fullName = getFullName($centity->{vcard});
+ $org = getOrg($centity->{vcard});
+ if ( length($fullName) > 0 ) {
+ if ( length($org) > 0 ) {
+ $author = $fullName.' ('.$org.')';
+ } else {
+ $author = $fullName;
+ }
+ } else {
+ $author = $org;
+ }
+ if (length($author) gt 0) {
+ push(@authors, $author);
+ }
+ }
+ }
+ }
+ return \@authors;
+}
+
+sub getPublishers {
+ my ($lomData) = @_;
+ my $role = 'Publisher';
+ my $lifecycle = $lomData->{lifecycle};
+ my $fullName = '';
+ my $org = '';
+ my $publisher = '';
+ my @publishers = ();
+ for my $contribute ( @{$lifecycle->{contributes}} ) {
+ if ( $contribute->{role}->{value} eq $role ) {
+ for my $centity ( @{$contribute->{centities}} ) {
+ $fullName = getFullName($centity->{vcard});
+ $org = getOrg($centity->{vcard});
+ if ( length($fullName) > 0 ) {
+ if ( length($org) > 0 ) {
+ $publisher = $fullName.' ('.$org.')';
+ } else {
+ $publisher = $fullName;
+ }
+ } else {
+ $publisher = $org;
+ }
+ if (length($publisher) gt 0) {
+ push(@publishers, $publisher);
+ }
+ }
+ }
+ }
+ return \@publishers;
+}
+
+# private
+sub getFullName {
+ my ($vcard) = @_;
+ my $fn = '';
+ my @lines = split('\n', $vcard);
+ my $line;
+ foreach $line ( @lines ) {
+ if ( ($fn) = $line =~ /^FN:(.*)/ ) {
+ return $fn;
+ }
+ }
+}
+
+sub getOrg {
+ my ($vcard) = @_;
+ my $org = '';
+ my @lines = split('\n', $vcard);
+ my $line;
+ foreach $line ( @lines ) {
+ if ( ($org) = $line =~ /^ORG:(.*)/ ) {
+ $org =~ s/\\//g;
+ return $org;
+ }
+ }
+}
+
+1;
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_general.pm b/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_general.pm
new file mode 100644
index 0000000000000000000000000000000000000000..7bb90d9be960557ca0b3b1a72f5dd6d8d1b09c43
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_general.pm
@@ -0,0 +1,435 @@
+package App::Type::LOMIngest_general;
+
+use strict;
+use warnings;
+
+our (@ISA, @EXPORT, @EXPORT_OK, %EXPORT_TAGS, $VERSION);
+use Exporter;
+
+$VERSION = 0.01;
+@ISA = qw(Exporter);
+@EXPORT = qw(getId getAbstract getLangAbstract getAbstractMostRelated getTitle getTitleMostRelated getTitleLangList getLangTitle getLanguageList getDirectLink getLicense getCreated getOefosList getOefosId onlyOefosSubCategories getFormat getTechnicalFormat getLearningRTList getAuthors getPublishers getThumbnailUrl ingestTimeStamp today);
+use FindBin;
+use lib "$FindBin::Bin/../../";
+
+# print "I am in package: ".__PACKAGE__."\n";
+
+sub getId {
+ my ($lomData, $catalog) = @_;
+ my $general = $lomData->{general};
+ for my $identify ( @{$general->{identifiers}} ) {
+ if ( $identify->{catalog} eq $catalog ) {
+ return $identify->{entry};
+ }
+ }
+ return;
+}
+
+sub getAbstract {
+ my ($lomData, $lang) = @_;
+ my $general = $lomData->{general};
+ $lang = $lang || 'de';
+ for my $abstract ( @{$general->{description}} ) {
+ return $abstract->{$lang};
+ }
+}
+
+sub getLangAbstract {
+ my ($lomData) = @_;
+ my $general = $lomData->{general};
+ my %langabstract = ();
+ for my $abstract ( @{$general->{description}} ) {
+ foreach my $lang (keys %$abstract) {
+ $langabstract{$lang} = $abstract->{$lang};
+ }
+ }
+ return \%langabstract;
+}
+
+sub getAbstractMostRelated {
+ my ($lomData) = @_;
+ my $general = $lomData->{general};
+ my %abstractlang = ();
+ my %abstractlangsort = ();
+ my $default = 'de';
+ for my $abstract ( @{$general->{description}} ) {
+ my $abstract_type = ref($abstract);
+ if ( $abstract_type eq "HASH" ) {
+ foreach my $lang (keys %$abstract) {
+ $abstractlang{$lang} = $abstract->{$lang};
+ }
+ } else {
+ $abstractlang{$default} = $abstract;
+ }
+ }
+ # de, en , es ....
+ foreach my $tl (sort keys %abstractlang) {
+ if ( length($abstractlang{$tl}) > 0) {
+ return $abstractlang{$tl};
+ }
+ }
+}
+
+sub getTitle {
+ my ($lomData, $lang) = @_;
+ my $general = $lomData->{general};
+ $lang = $lang || 'de';
+ for my $title ( @{$general->{title}} ) {
+ return $title->{$lang};
+ }
+}
+
+sub getTitleMostRelated {
+ my ($lomData) = @_;
+ my $general = $lomData->{general};
+ my %titlelang = ();
+ my %titlelangsort = ();
+ my $default = 'de';
+ for my $titles ( @{$general->{title}} ) {
+ my $titles_type = ref($titles);
+ if ( $titles_type eq "HASH" ) {
+ foreach my $lang (keys %$titles) {
+ $titlelang{$lang} = $titles->{$lang};
+ }
+ } else {
+ $titlelang{$default} = $titles;
+ }
+ }
+ # de, en , es ....
+ foreach my $tl (sort keys %titlelang) {
+ if ( length($titlelang{$tl}) > 0) {
+ return $titlelang{$tl};
+ }
+ }
+}
+
+sub getTitleLangList {
+ my ($lomData) = @_;
+ my $general = $lomData->{general};
+ my @titlelangs = ();
+ for my $titles ( @{$general->{title}} ) {
+ foreach my $lang (keys %$titles) {
+ push(@titlelangs, $lang);
+ }
+ }
+ return \@titlelangs;
+}
+
+sub getLangTitle {
+ my ($lomData) = @_;
+ my $general = $lomData->{general};
+ my %langtitle = ();
+ my $default = 'de';
+ for my $titles ( @{$general->{title}} ) {
+ my $titles_type = ref($titles);
+ if ( $titles_type eq "HASH" ) {
+ foreach my $lang (keys %$titles) {
+ $langtitle{$lang} = $titles->{$lang};
+ }
+ } else {
+ $langtitle{$default} = $titles;
+ }
+ }
+ return \%langtitle;
+}
+
+sub getLanguageList {
+ my ($lomData) = @_;
+ my $general = $lomData->{general};
+ my @languages = ();
+ for my $language ( @{$general->{language}} ) {
+ push(@languages, $language);
+ }
+ return \@languages;
+}
+
+sub getDirectLink {
+ my ($lomData) = @_;
+ my $technical = $lomData->{technical};
+ return $technical->{location};
+}
+
+sub getThumbnailUrl {
+ my ($lomData) = @_;
+ my $technical = $lomData->{technical};
+ return $technical->{thumbnail}->{url};
+}
+
+sub getLicenseOld {
+ my ($lomData) = @_;
+ my $rights = $lomData->{rights};
+ my $linkCC = $rights->{description};
+
+ my $txt = '';
+ if ( ($txt) = $linkCC =~ /^https\:\/\/creativecommons.org\/licenses\/(.*)/ ) {
+ $txt =~ s/\// /g;
+ # remove trailing space
+ $txt =~ s/\s+$//;
+ my $upperCaseTxt = uc $txt;
+ if ( $upperCaseTxt !~ /(.*)NULL$/ ) {
+ $txt = 'CC '.$upperCaseTxt;
+ } else {
+ $txt = 'ERROR: BAD CC License';
+ }
+ }
+
+ return $txt;
+}
+
+sub _getLicenseCC {
+ my ($lomData) = @_;
+ my $rights = $lomData->{rights};
+ my $linkCC = defined $rights->{description} ? $rights->{description} : '' ;
+
+ my $txt = '';
+ if ( ($txt) = $linkCC =~ /^https\:\/\/creativecommons.org\/licenses\/(.*)/ ) {
+ # remove trailing slash
+ $txt =~ s/\/+$//;
+ # change
+ $txt =~ s/\//-/g;
+ my $upperCaseTxt = uc $txt;
+ if ( $upperCaseTxt !~ /(.*)NULL$/ ) {
+ $txt = 'CC-'.$upperCaseTxt;
+ } else {
+ $txt = 'ERROR: NULL CC License';
+ }
+ }
+
+ return $txt;
+}
+
+sub _getLicenseSpdx {
+ my ($lomData) = @_;
+ my $rights = $lomData->{rights};
+ my $linkSpdx = defined $rights->{description} ? $rights->{description} : '';
+
+ my $txt = '';
+ if ( ($txt) = $linkSpdx =~ /^https\:\/\/spdx.org\/licenses\/(.*)/ ) {
+ # remove trailing space
+ $txt =~ s/\s+$//;
+ if ( $txt =~ /(.*)NULL$/ ) {
+ $txt = 'ERROR: NULL SPDX License';
+ }
+ }
+
+ return $txt;
+}
+
+sub getLicense {
+ my ($lomData) = @_;
+
+ my $txt = '';
+ my $licenseCC = _getLicenseCC($lomData);
+ my $licenseSpdx = _getLicenseSpdx($lomData);
+ if ( defined $licenseCC and length $licenseCC ){
+ $txt = $licenseCC;
+ }
+ elsif ( defined $licenseSpdx and length $licenseSpdx ){
+ $txt = $licenseSpdx;
+ }
+
+ return $txt;
+}
+
+
+sub getCreated {
+ my ($lomData) = @_;
+ my $lifecycle = $lomData->{lifecycle};
+ my $date = $lifecycle->{versionDate} || '';
+ if ( my ($year, $mon, $day, $tim) = ($date =~ /^(\d{4})-(\d{2})-(\d{2})(.*)/) ) {
+ return $year.'-'.$mon.'-'.$day;
+ }
+ return today();
+}
+
+sub getOefosList {
+ my ($lomData) = @_;
+ # source may look like: 'https://w3id.org/oerbase/vocabs/oefos2012', 'https://oer-portal.uni-graz.at/vocabs/oefos2012'
+ my $id = '';
+ my $oefosId = '';
+ my @oefosList = ();
+
+ for my $classification ( @{$lomData->{classification}} ) {
+ for my $taxonPath ( @{$classification->{taxonPath}} ) {
+ if ( $taxonPath->{source} =~ /(.*)\/vocabs\/oefos2012$/ ) {
+ for my $taxon ( @{$taxonPath->{taxon}} ) {
+ $id = $taxon->{id};
+ $oefosId = getOefosId($id);
+ if ( length($oefosId) > 0 ){
+ # do acceppt all levels (some repos like uni-graz have just one digit for discipline like SOZIALWISSENSCHAFTEN (5))
+ push(@oefosList, $oefosId );
+ }
+ }
+ }
+ }
+ }
+ return \@oefosList;
+}
+
+sub getOefosId {
+ my ($id) = @_;
+ # vocabs may look like: 'https://w3id.org/oerbase/vocabs/oefos2012/', 'https://oer-portal.uni-graz.at/vocabs/oefos2012/'
+ my $number = '';
+ my $prefixurl = '';
+ if ( ($prefixurl, $number) = $id =~ /(.*)\/vocabs\/oefos2012\/(.*)/ ) {
+ return $number;
+ }
+ return '';
+}
+
+
+sub onlyOefosSubCategories {
+ my ($inlist) = @_;
+ my $found = 0;
+ my $restlist = $inlist;
+ my @onlySubelements = ();
+ for my $i ( @$inlist ) {
+ $found = 0;
+ for my $s ( @$restlist ) {
+ if ($s ne $i) {
+ if ( $s =~ /^$i/ ) {
+ $found = 1;
+ last;
+ } else {
+ $found = 0;
+ }
+ }
+ }
+ if ($found == 0) {
+ push @onlySubelements, $i;
+ }
+ }
+ return \@onlySubelements;
+}
+
+sub getFormat {
+ my ($lomData) = @_;
+ my $technical = $lomData->{technical};
+ my $resourceFormat;
+ if ( defined $technical->{format} ) {
+ for ( $technical->{format} ) {
+ if (/^audio\/mp3$/) {
+ $resourceFormat = 'Audio';
+ }
+ elsif (/^application\/pdf$/) {
+ $resourceFormat = 'Document';
+ }
+ elsif (/^image\/png$/) {
+ $resourceFormat = 'Picture';
+ }
+ elsif (/^video\/mp4$/) {
+ $resourceFormat = 'Video';
+ }
+ else {
+ $resourceFormat = 'Miscellaneous';
+ }
+ }
+ }
+ else {
+ $resourceFormat = 'unknown';
+ }
+ return $resourceFormat;
+}
+
+sub getTechnicalFormat {
+ my ($lomData) = @_;
+ my $technical = $lomData->{technical};
+ my $technicalFormat;
+ $technicalFormat = defined $technical->{format} ? $technical->{format} : '';
+ ## check in a List if format is allowed t.b.impl
+ if (length($technicalFormat) gt 0) {
+ $technicalFormat = ( split '/', $technicalFormat )[ -1 ];
+ $technicalFormat = ( split '\.', $technicalFormat )[ -1 ];
+ }
+ else {
+ $technicalFormat = 'unknown';
+ }
+ return $technicalFormat;
+}
+
+sub getLearningRTList {
+ my ($lomData) = @_;
+ # source may look like: 'https://w3id.org/kim/hcrt/scheme'
+ my $id = '';
+ my $learningRTId = '';
+ my @learningRTList = ();
+
+ my $educational = $lomData->{educational};
+ for my $learningresourcetype ( @{$educational->{learningResourceType}} ) {
+ if ( $learningresourcetype->{source} =~ /(.*)\/kim\/hcrt\/scheme$/ ) {
+ $id = $learningresourcetype->{id};
+ $learningRTId = getLearningRTId($id);
+ if ( length($learningRTId) > 0 ){
+ push(@learningRTList, $learningRTId );
+ }
+ }
+ }
+ return \@learningRTList;
+}
+
+sub getLearningRTId {
+ my ($id) = @_;
+ # vocabs may look like: 'https://w3id.org/kim/hcrt/video'
+ my $number = '';
+ my $prefixurl = '';
+ if ( ($prefixurl, $number) = $id =~ /(.*)\/kim\/hcrt\/(.*)/ ) {
+ return $number;
+ }
+ return '';
+}
+
+
+sub getAuthors {
+ my ($lomData) = @_;
+ my $role = 'Author';
+ my $lifecycle = $lomData->{lifecycle};
+ my $fullName = '';
+ my @authors = ();
+ for my $contribute ( @{$lifecycle->{contributes}} ) {
+ if ( $contribute->{role}->{value} eq $role ) {
+ for my $entity ( @{$contribute->{entities}} ) {
+ $fullName = $entity;
+ if (length($fullName) gt 0) {
+ push(@authors, $fullName);
+ }
+ }
+ }
+ }
+ return \@authors;
+}
+
+sub getPublishers {
+ my ($lomData) = @_;
+ my $role = 'Publisher';
+ my $lifecycle = $lomData->{lifecycle};
+ my $fullName = '';
+ my @publishers = ();
+ for my $contribute ( @{$lifecycle->{contributes}} ) {
+ if ( $contribute->{role}->{value} eq $role ) {
+ for my $entity ( @{$contribute->{entities}} ) {
+ $fullName = $entity;
+ if (length($fullName) gt 0) {
+ push(@publishers, $fullName);
+ }
+ }
+ }
+ }
+ return \@publishers;
+}
+
+sub ingestTimeStamp {
+ my ($sec,$min,$hour,$mday,$mon,$year,$wday,$yday,$isdst)=localtime(time);
+ my $timestamp = sprintf ( "%04d-%02d-%02d %02d:%02d:%02d", $year+1900,$mon+1,$mday,$hour,$min,$sec);
+ return $timestamp;
+}
+
+sub today {
+ my ($sec,$min,$hour,$mday,$mon,$year,$wday,$yday,$isdst)=localtime(time);
+ my $timestamp = sprintf ( "%04d-%02d-%02d", $year+1900,$mon+1,$mday);
+ return $timestamp;
+}
+
+
+1;
+
+__END__
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_invenio.pm b/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_invenio.pm
new file mode 100644
index 0000000000000000000000000000000000000000..eff2379d5412d05ee153f07a5328d8c8924d2771
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/LOMIngest_invenio.pm
@@ -0,0 +1,147 @@
+# package App::Type::LOMIngest_invenio;
+
+use strict;
+use warnings;
+
+our (@ISA, @EXPORT, @EXPORT_OK, %EXPORT_TAGS, $VERSION);
+use Exporter;
+
+$VERSION = 0.02;
+@ISA = qw(Exporter);
+@EXPORT = qw(getDOILink getId getAbstract getLangAbstract getAbstractMostRelated getTitle getTitleMostRelated getTitleLangList getLangTitle getLanguageList getDirectLink getLicense getCreated getOefosList getOefosId onlyOefosSubCategories getAuthors getPublishers getFormat getTechnicalFormat getLearningRTList getThumbnailUrl ingestTimeStamp today);
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+
+use App::Type::LOMIngest_general;
+
+print "I am in package: ".__PACKAGE__."\n";
+
+# additional function
+sub getDOILink {
+ my ($lomData) = @_;
+ my $doiLink= 'https://doi.org/';
+ my $catalog = "DOI";
+ return $doiLink .getId($lomData, $catalog);
+}
+
+# overrides getFormat from LOMIngest_general
+sub getFormat {
+ my ($lomData) = @_;
+ my $technical = $lomData->{technical};
+ my $resourceFormat;
+ for ( $technical->{format} ) {
+ if (/^audio\/mp3$/) {
+ $resourceFormat = 'Audio';
+ }
+ elsif (/^application\/pdf$/) {
+ $resourceFormat = 'Document';
+ }
+ elsif (/^image\/png$/) {
+ $resourceFormat = 'Picture';
+ }
+ elsif (/^video\/mp4$/) {
+ $resourceFormat = 'Video';
+ }
+ elsif (/^iMooX$/) {
+ $resourceFormat = 'iMooX';
+ }
+ else {
+ $resourceFormat = 'Miscellaneous';
+ }
+ }
+ return $resourceFormat;
+}
+
+# overrides getAuthors from LOMIngest_general
+sub getAuthors {
+ my ($lomData) = @_;
+ my $role = 'Author';
+ my $lifecycle = $lomData->{lifecycle};
+ my $fullName = '';
+ my $org = '';
+ my $author = '';
+ my @authors = ();
+ for my $contribute ( @{$lifecycle->{contributes}} ) {
+ if ( $contribute->{role}->{value} eq $role ) {
+ for my $centity ( @{$contribute->{centities}} ) {
+ $fullName = getFullName($centity->{vcard});
+ $org = getOrg($centity->{vcard});
+ if ( length($fullName) > 0 ) {
+ if ( length($org) > 0 ) {
+ $author = $fullName.' ('.$org.')';
+ } else {
+ $author = $fullName;
+ }
+ } else {
+ $author = $org;
+ }
+ if (length($author) gt 0) {
+ push(@authors, $author);
+ }
+ }
+ }
+ }
+ return \@authors;
+}
+
+sub getPublishers {
+ my ($lomData) = @_;
+ my $role = 'Publisher';
+ my $lifecycle = $lomData->{lifecycle};
+ my $fullName = '';
+ my $org = '';
+ my $publisher = '';
+ my @publishers = ();
+ for my $contribute ( @{$lifecycle->{contributes}} ) {
+ if ( $contribute->{role}->{value} eq $role ) {
+ for my $centity ( @{$contribute->{centities}} ) {
+ $fullName = getFullName($centity->{vcard});
+ $org = getOrg($centity->{vcard});
+ if ( length($fullName) > 0 ) {
+ if ( length($org) > 0 ) {
+ $publisher = $fullName.' ('.$org.')';
+ } else {
+ $publisher = $fullName;
+ }
+ } else {
+ $publisher = $org;
+ }
+ if (length($publisher) gt 0) {
+ push(@publishers, $publisher);
+ }
+ }
+ }
+ }
+ return \@publishers;
+}
+
+# private
+sub getFullName {
+ my ($vcard) = @_;
+ my $fn = '';
+ my @lines = split('\n', $vcard);
+ my $line;
+ foreach $line ( @lines ) {
+ if ( ($fn) = $line =~ /^FN:(.*)/ ) {
+ return $fn;
+ }
+ }
+}
+
+sub getOrg {
+ my ($vcard) = @_;
+ my $org = '';
+ my @lines = split('\n', $vcard);
+ my $line;
+ foreach $line ( @lines ) {
+ if ( ($org) = $line =~ /^ORG:(.*)/ ) {
+ $org =~ s/\\//g;
+ return $org;
+ }
+ }
+}
+
+1;
+
+__END__
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_DC.pm b/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_DC.pm
new file mode 100644
index 0000000000000000000000000000000000000000..eaf99353544ec9f57d4b30c950450b9bda20057f
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_DC.pm
@@ -0,0 +1,422 @@
+package App::Type::OAIIngest_DC;
+
+# workout job type OAIIngest_DC
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use Encode;
+use App::Logger;
+use JSON::XS;
+use LWP::Simple;
+use Text::CSV_XS;
+# use XML::Simple; Not Used
+
+use utf8;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_cfg} = $args{cfg} || croak "no cfg given";
+
+ bless($self, $class);
+
+ $self->_init();
+ $self->_prepare_oefos();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_cfg}->{log}->{path}.'/'.$self->{_cfg}->{log}->{filename},
+ debug => defined $self->{_cfg}->{debug} ? $self->{_cfg}->{debug} : 1,
+ verbosity => defined $self->{_cfg}->{verbosity} ? $self->{_cfg}->{verbosity} : 2,
+ );
+
+ $self->{_logger}->debug('_cfg ' . Dumper( $self->{_cfg} ) );
+
+ # config
+ $self->{_config} = YAML::Syck::LoadFile("$FindBin::Bin/etc/targets/oaiingest_dc/config.yml");
+ $self->{_logger}->debug('_config ' . Dumper( $self->{_config} ) );
+
+ return;
+}
+
+sub _prepare_oefos {
+ my ($self) = @_;
+ croak "_prepare_oefos is private" if caller() ne __PACKAGE__;
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ # OEFOS2002_DE
+ ## load data
+ my $csv_OEFOS2002_DE = Text::CSV_XS->new({
+ binary => 1,
+ decode_utf8 => 0,
+ eol => "\r\n",
+ sep_char => ';',
+ }) or croak "no new at Text::CSV_XS: ".Text::CSV_XS->error_diag();
+ my $file_OEFOS2002_DE = $FindBin::Bin.'/'.$self->{_config}->{fs}->{oefos}->{2002}->{de};
+ open my $fh_OEFOS2002_DE, '<', $file_OEFOS2002_DE or croak "no open at file |$file_OEFOS2002_DE|, |$!|";
+ $csv_OEFOS2002_DE->column_names( $csv_OEFOS2002_DE->getline($fh_OEFOS2002_DE) );
+ my $csv_OEFOS2002_DE_all = $csv_OEFOS2002_DE->getline_hr_all($fh_OEFOS2002_DE);
+ close $fh_OEFOS2002_DE or carp "no close at file |$file_OEFOS2002_DE|, |$!|";
+# ## filter Ebene 3, create lookup HASH { Code => Titel }
+# my %csv_OEFOS2002_DE_all_code_titel = map { $_->{Code} => $_->{Titel} } grep { $_->{Ebene} eq 3 } @$csv_OEFOS2002_DE_all;
+# TODO: to grep or not to grep
+ ## create lookup HASH { Code => Titel }
+ my %csv_OEFOS2002_DE_all_code_titel = map { $_->{Code} => $_->{Titel} } @$csv_OEFOS2002_DE_all;
+ ## create lookup HASH { Titel => Code }
+ my %csv_OEFOS2002_DE_all_titel_code = reverse %csv_OEFOS2002_DE_all_code_titel;
+ ## assign
+ $self->{_csv_OEFOS2002_DE_all_code_titel} = \%csv_OEFOS2002_DE_all_code_titel;
+ $self->{_csv_OEFOS2002_DE_all_titel_code} = \%csv_OEFOS2002_DE_all_titel_code;
+ ## log
+ $logger->info('scalar keys csv_OEFOS2002_DE_all_code_titel |' . scalar( keys %csv_OEFOS2002_DE_all_code_titel ) . '|', 2);
+ $logger->info('scalar keys csv_OEFOS2002_DE_all_titel_code |' . scalar( keys %csv_OEFOS2002_DE_all_titel_code ) . '|', 2);
+
+ # OEFOS2002_EN
+ ## load data
+ my $csv_OEFOS2002_EN = Text::CSV_XS->new({
+ binary => 1,
+ decode_utf8 => 0,
+ eol => "\r\n",
+ sep_char => ';',
+ }) or croak "no new at Text::CSV_XS: ".Text::CSV_XS->error_diag();
+ my $file_OEFOS2002_EN = $FindBin::Bin.'/'.$self->{_config}->{fs}->{oefos}->{2002}->{en};
+ open my $fh_OEFOS2002_EN, '<', $file_OEFOS2002_EN or croak "no open at file |$file_OEFOS2002_EN|, |$!|";
+ $csv_OEFOS2002_EN->column_names( $csv_OEFOS2002_EN->getline($fh_OEFOS2002_EN) );
+ my $csv_OEFOS2002_EN_all = $csv_OEFOS2002_EN->getline_hr_all($fh_OEFOS2002_EN);
+ close $fh_OEFOS2002_EN or carp "no close at file |$file_OEFOS2002_EN|, |$!|";
+# ## filter Ebene 3, create lookup HASH { Code => Titel }
+# my %csv_OEFOS2002_EN_all_code_titel = map { $_->{Code} => $_->{Titel} } grep { $_->{Ebene} eq 3 } @$csv_OEFOS2002_EN_all;
+# TODO: to grep or not to grep
+ ## create lookup HASH { Code => Titel }
+ my %csv_OEFOS2002_EN_all_code_titel = map { $_->{Code} => $_->{Titel} } @$csv_OEFOS2002_EN_all;
+ ## create lookup HASH { Titel => Code }
+ my %csv_OEFOS2002_EN_all_titel_code = reverse %csv_OEFOS2002_EN_all_code_titel;
+ ## assign
+ $self->{_csv_OEFOS2002_EN_all_code_titel} = \%csv_OEFOS2002_EN_all_code_titel;
+ $self->{_csv_OEFOS2002_EN_all_titel_code} = \%csv_OEFOS2002_EN_all_titel_code;
+ ## log
+ $logger->info('scalar keys csv_OEFOS2002_EN_all_code_titel |' . scalar( keys %csv_OEFOS2002_EN_all_code_titel ) . '|', 2);
+ $logger->info('scalar keys csv_OEFOS2002_EN_all_titel_code |' . scalar( keys %csv_OEFOS2002_EN_all_titel_code ) . '|', 2);
+
+ # OEFOS2012_DE
+ ## load data
+ my $csv_OEFOS2012_DE = Text::CSV_XS->new({
+ binary => 1,
+ decode_utf8 => 0,
+ eol => "\r\n",
+ sep_char => ';',
+ }) or croak "no new at Text::CSV_XS: ".Text::CSV_XS->error_diag();
+ my $file_OEFOS2012_DE = $FindBin::Bin.'/'.$self->{_config}->{fs}->{oefos}->{2012}->{de};
+ open my $fh_OEFOS2012_DE, '<', $file_OEFOS2012_DE or croak "no open at file |$file_OEFOS2012_DE|, |$!|";
+ $csv_OEFOS2012_DE->column_names( $csv_OEFOS2012_DE->getline($fh_OEFOS2012_DE) );
+ my $csv_OEFOS2012_DE_all = $csv_OEFOS2012_DE->getline_hr_all($fh_OEFOS2012_DE);
+ close $fh_OEFOS2012_DE or carp "no close at file |$file_OEFOS2012_DE|, |$!|";
+# ## filter Ebene 4, create lookup HASH { Code => Titel }
+# my %csv_OEFOS2012_DE_all_code_titel = map { $_->{Code} => $_->{Titel} } grep { $_->{Ebene} eq 4 } @$csv_OEFOS2012_DE_all;
+# TODO: to grep or not to grep
+ ## create lookup HASH { Code => Titel }
+ my %csv_OEFOS2012_DE_all_code_titel = map { $_->{Code} => $_->{Titel} } @$csv_OEFOS2012_DE_all;
+ ## create lookup HASH { Titel => Code }
+ my %csv_OEFOS2012_DE_all_titel_code = reverse %csv_OEFOS2012_DE_all_code_titel;
+ ## assign
+ $self->{_csv_OEFOS2012_DE_all_code_titel} = \%csv_OEFOS2012_DE_all_code_titel;
+ $self->{_csv_OEFOS2012_DE_all_titel_code} = \%csv_OEFOS2012_DE_all_titel_code;
+ ## log
+ $logger->info('scalar keys csv_OEFOS2012_DE_all_code_titel |' . scalar( keys %csv_OEFOS2012_DE_all_code_titel ) . '|', 2);
+ $logger->info('scalar keys csv_OEFOS2012_DE_all_titel_code |' . scalar( keys %csv_OEFOS2012_DE_all_titel_code ) . '|', 2);
+
+ # OEFOS2012_EN
+ ## load data
+ my $csv_OEFOS2012_EN = Text::CSV_XS->new({
+ binary => 1,
+ decode_utf8 => 0,
+ eol => "\r\n",
+ sep_char => ';',
+ }) or croak "no new at Text::CSV_XS: ".Text::CSV_XS->error_diag();
+ my $file_OEFOS2012_EN = $FindBin::Bin.'/'.$self->{_config}->{fs}->{oefos}->{2012}->{en};
+ open my $fh_OEFOS2012_EN, '<', $file_OEFOS2012_EN or croak "no open at file |$file_OEFOS2012_EN|, |$!|";
+ $csv_OEFOS2012_EN->column_names( $csv_OEFOS2012_EN->getline($fh_OEFOS2012_EN) );
+ my $csv_OEFOS2012_EN_all = $csv_OEFOS2012_EN->getline_hr_all($fh_OEFOS2012_EN);
+ close $fh_OEFOS2012_EN or carp "no close at file |$file_OEFOS2012_EN|, |$!|";
+# ## filter Ebene 4, create lookup HASH { Code => Titel }
+# my %csv_OEFOS2012_EN_all_code_titel = map { $_->{Code} => $_->{Titel} } grep { $_->{Ebene} eq 4 } @$csv_OEFOS2012_EN_all;
+# TODO: to grep or not to grep
+ ## create lookup HASH { Code => Titel }
+ my %csv_OEFOS2012_EN_all_code_titel = map { $_->{Code} => $_->{Titel} } @$csv_OEFOS2012_EN_all;
+ ## create lookup HASH { Titel => Code }
+ my %csv_OEFOS2012_EN_all_titel_code = reverse %csv_OEFOS2012_EN_all_code_titel;
+ ## assign
+ $self->{_csv_OEFOS2012_EN_all_code_titel} = \%csv_OEFOS2012_EN_all_code_titel;
+ $self->{_csv_OEFOS2012_EN_all_titel_code} = \%csv_OEFOS2012_EN_all_titel_code;
+ ## log
+ $logger->info('scalar keys csv_OEFOS2012_EN_all_code_titel |' . scalar( keys %csv_OEFOS2012_EN_all_code_titel ) . '|', 2);
+ $logger->info('scalar keys csv_OEFOS2012_EN_all_titel_code |' . scalar( keys %csv_OEFOS2012_EN_all_titel_code ) . '|', 2);
+
+ return;
+}
+
+sub ingestTimeStamp {
+ my ($sec,$min,$hour,$mday,$mon,$year,$wday,$yday,$isdst)=localtime(time);
+ my $timestamp = sprintf ( "%04d-%02d-%02d %02d:%02d:%02d", $year+1900,$mon+1,$mday,$hour,$min,$sec);
+ return $timestamp;
+}
+
+sub run {
+ my ($self, %args) = @_;
+
+ # args
+ $self->{_ua} = $args{ua} || croak "no ua given";
+ $self->{_msg} = $args{msg} || croak "no msg given";
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('OAIIngest_DC start', 1);
+
+ # this method can die/croak/confess
+
+ eval {
+
+ $logger->debug('_msg ' . Dumper( $self->{_msg} ), 2);
+
+ $logger->info('OAIIngest_DC workout start', 1);
+
+ $logger->info('prepare metadata', 2);
+
+ # apparently Net::AMQP::RabbitMQ->recv() returns a Perl data structure
+ # hence, we have to encode it to UTF-8 before decode_json
+ #
+ # https://perldoc.perl.org/Encode.html
+ # "Encodes [..] from Perl's internal form into ENCODING"
+ # Perl -> UTF-8
+ my $body = encode( 'UTF-8', $self->{_msg}->{body} );
+ $logger->debug('body ' . Dumper( $body ), 2);
+
+ # decode_xml $body as $item
+ $logger->info('decode_xml body', 2);
+
+
+ ######## NEW IMPLEMENTATION HERE ########
+ # here decode the xml-data from the mq
+ # do the transformation to json
+ #########################################
+
+
+
+ # https://perldoc.perl.org/Encode.html
+ # "Encodes [..] from Perl's internal form into ENCODING"
+ # Perl -> UTF-8
+ my $item = decode_json( $body );
+
+ my $id = $item->{pid}; # use $item->{pid} as id
+ $logger->info('processing id[' . $id .']', 1);
+ # custom filter
+ $logger->info('custom filter', 2);
+
+ ## use $item->{dc_title}[0] as oea_title
+ $item->{oea_title} = $item->{dc_title}[0];
+ ## use $item->{dc_description}[0] as oea_abstract
+ $item->{oea_abstract} = $item->{dc_description}[0];
+ ## use $item->{dc_creator} elements as oea_authors
+ $item->{oea_authors} = $item->{dc_creator};
+ ## use $item->{dc_identifier}[-1] as oea_object_direct_link
+ $item->{oea_object_direct_link} = $item->{dc_identifier}[-1];
+
+ $item->{oea_ingest} = ingestTimeStamp();
+
+ ## use translated $item->{cmodel} as oea_classification_00
+ # set oea_classification_00 (Audio, PDFDocument, Picture, Video, Miscellaneous)
+ my $oea_classification_00;
+ TYPE:
+ for ( $item->{cmodel} ) {
+ if (/^Audio$/) {
+ $oea_classification_00 = 'Audio';
+ }
+ elsif (/^PDFDocument$/) {
+ $oea_classification_00 = 'Document';
+ }
+ elsif (/^Picture$/) {
+ $oea_classification_00 = 'Picture';
+ }
+ elsif (/^Video$/) {
+ $oea_classification_00 = 'Video';
+ }
+ else {
+ $oea_classification_00 = 'Miscellaneous';
+ }
+ }
+ $item->{oea_classification_00} = $oea_classification_00;
+
+ ## use $item->{dc_subject_eng} elements starting with 'ÖFOS, ', 'ÖFOS 2012, ' as oea_classification_01 this was replaced with
+ ## use $item->{dc_subject_eng} elements starting with 'ÖFOS -- ', 'ÖFOS 2012 -- ' as oea_classification_01 NEW in Phaidra
+ ## Example: "ÖFOS 2012 -- SOCIAL SCIENCES (5) -- Media and Communication Siences (508)"
+ DC_SUBJECT_ENG:
+ my $oefos_type = ref($item->{dc_subject_eng});
+ my $txt = '';
+ my $dc_subject_eng_code = '';
+ if ( $oefos_type eq "ARRAY" ) {
+ for my $dc_subject_eng ( @{$item->{dc_subject_eng}} ) {
+ # ÖFOS 2002
+ if ( ($txt, $dc_subject_eng_code) = $dc_subject_eng =~ /^ÖFOS -- (.*)\((\d+)\)$/ ) {
+ my $dc_subject_eng_titel = $self->{_csv_OEFOS2002_EN_all_code_titel}->{ $dc_subject_eng_code };
+ my $dc_subject_deu_titel = $self->{_csv_OEFOS2002_DE_all_code_titel}->{ $dc_subject_eng_code };
+ unless ( $dc_subject_eng_code && $dc_subject_eng_titel && $dc_subject_deu_titel ) {
+ push @{$item->{oea_classification_01}}, {
+ id => '999999',
+ name_de => 'Sonstiges',
+ name_en => 'Miscellaneous',
+ tag => 'OEFOS2002',
+ };
+ $logger->warning("problem at OeFOS 2002 dc_subject_eng |$dc_subject_eng|, _msg routing_key |$self->{_msg}->{routing_key}|, pid |$item->{pid}|");
+ } else {
+ push @{$item->{oea_classification_01}}, {
+ id => $dc_subject_eng_code,
+ name_de => $dc_subject_deu_titel,
+ name_en => $dc_subject_eng_titel,
+ tag => 'OEFOS2002',
+ };
+ }
+ }
+ # ÖFOS 2012
+ elsif ( ($txt, $dc_subject_eng_code) = $dc_subject_eng =~ /^ÖFOS 2012 -- (.*)\((\d+)\)$/ ) {
+ my $dc_subject_eng_titel = $self->{_csv_OEFOS2012_EN_all_code_titel}->{ $dc_subject_eng_code };
+ my $dc_subject_deu_titel = $self->{_csv_OEFOS2012_DE_all_code_titel}->{ $dc_subject_eng_code };
+ unless ( $dc_subject_eng_code && $dc_subject_eng_titel && $dc_subject_deu_titel ) {
+ push @{$item->{oea_classification_01}}, {
+ id => '999999',
+ name_de => 'Sonstiges',
+ name_en => 'Miscellaneous',
+ tag => 'OEFOS2012',
+ };
+ $logger->warning("problem at OeFOS 2012 dc_subject_eng |$dc_subject_eng|, _msg routing_key |$self->{_msg}->{routing_key}|, pid |$item->{pid}|");
+ } else {
+ push @{$item->{oea_classification_01}}, {
+ id => $dc_subject_eng_code,
+ name_de => $dc_subject_deu_titel,
+ name_en => $dc_subject_eng_titel,
+ tag => 'OEFOS2012',
+ };
+ }
+ }
+ }
+ } else {
+ push @{$item->{oea_classification_01}}, {
+ id => '999999',
+ name_de => 'Sonstiges',
+ name_en => 'Miscellaneous',
+ tag => 'OEFOS2012',
+ };
+ $logger->warning("problem at OeFOS 2012 dc_subject_eng | empty |, _msg routing_key |$self->{_msg}->{routing_key}|, pid |$item->{pid}|");
+ }
+
+ ## use first $item->{dc_license} element starting with 'CC BY' as oea_classification_02
+ ($item->{oea_classification_02}) = grep { /^CC BY/ } @{$item->{dc_license}};
+ if ( $item->{oea_classification_02} eq "" ) {
+ $item->{oea_valid} = 'false';
+ $item->{oea_unvalid_remark} = 'not a CC license';
+ } else {
+ $item->{oea_valid} = 'true';
+ }
+ ## use $item->{created} as oea_classification_03
+ $item->{oea_classification_03} = $item->{created};
+
+ # custom delete
+ $logger->info('custom delete', 2);
+
+ ## delete conflicting key _id._oid
+ ## mapper_parsing_exception
+ ## "Could not dynamically add mapping for field [_id._oid]. Existing mapping for [_id] must be of type object but found [_id]."
+ delete $item->{'_id._oid'};
+
+ ## delete conflicting key dc_date
+ ## mapper_parsing_exception
+ ## illegal_field_value_exception
+ ## "Cannot parse \"1510-15\": Value 15 for monthOfYear must be in the range [1,12]"
+ ## illegal_argument_exception
+ ## "Invalid format: \"1877 (2. Aufl.)\" is malformed at \" (2. Aufl.)\""
+ ## [..]
+ delete $item->{dc_date};
+
+ ## delete conflicting key bib_published
+ ## mapper_parsing_exception
+ ## illegal_field_value_exception
+ ## "Cannot parse \"1510-15\": Value 15 for monthOfYear must be in the range [1,12]"
+ ## illegal_argument_exception
+ ## "Invalid format: \"1877 (2. Aufl.)\" is malformed at \" (2. Aufl.)\""
+ delete $item->{bib_published};
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 0;
+ $logger->debug('item ' . Dumper( $item ), 2);
+ }
+
+ # you might want to investigate on the topic of Elasticsearch 6.x and the removal of mapping types
+ my $index = $self->{_msg}->{routing_key};
+ ## my $id = $item->{pid}; # use $item->{pid} as id
+ my $uri = "http://index:9200/$index/_doc/$id";
+ $logger->info("uri |$uri|", 2);
+
+ # encode_json item as $data
+ $logger->info('encode_json item', 2);
+ my $data = encode_json( $item );
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 0;
+ $logger->debug('data ' . Dumper( $data ), 2);
+ }
+
+ $logger->info('req HTTP::Request->new', 2);
+ my $req = HTTP::Request->new( 'PUT', $uri );
+ $req->header( 'Content-Type' => 'application/json' );
+ $req->content( $data );
+
+ $logger->info('ingest start', 2);
+ my $res = $self->{_ua}->request( $req );
+ if ( !$res->is_success() ) {
+ $logger->fatal("no valid response from uri |$uri|, status_line |".$res->status_line()."|, content |".$res->content()."|");
+ croak "no valid response from uri |$uri|, status_line |".$res->status_line()."|, content |".$res->content()."|";
+ }
+ $logger->info('res status_line |'.$res->status_line().'|', 2);
+ $logger->info('res content |'.$res->content().'|', 2);
+ $logger->info('ingest done', 2);
+
+ $logger->info('OAIIngest_DC workout done', 1);
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("OAIIngest_DC died |$syntax_error_message|");
+ croak $syntax_error_message;
+ }
+
+ $logger->info('OAIIngest_DC done', 1);
+
+ return;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_LOM_edusharing.pm b/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_LOM_edusharing.pm
new file mode 100644
index 0000000000000000000000000000000000000000..30f8beb99af2d80b12d962e0ff0a79d66ac76d28
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_LOM_edusharing.pm
@@ -0,0 +1,331 @@
+package App::Type::OAIIngest_LOM_edusharing;
+
+# workout job type OAIIngest_LOM
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use Encode;
+use App::Logger;
+use App::Type::LOMIngest_edusharing;
+use App::Type::Vocabs;
+use JSON::XS;
+use LWP::Simple;
+use Text::CSV_XS;
+# use XML::Simple; Not Used
+use utf8;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_cfg} = $args{cfg} || croak "no cfg given";
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_cfg}->{log}->{path}.'/'.$self->{_cfg}->{log}->{filename},
+ debug => defined $self->{_cfg}->{debug} ? $self->{_cfg}->{debug} : 1,
+ verbosity => defined $self->{_cfg}->{verbosity} ? $self->{_cfg}->{verbosity} : 2,
+ );
+
+ $self->{_logger}->debug('_cfg ' . Dumper( $self->{_cfg} ) );
+
+ $self->{_uri} = defined $self->{_cfg}->{uri} ? $self->{_cfg}->{uri}->{scheme} . ':' . $self->{_cfg}->{uri}->{authority} . $self->{_cfg}->{uri}->{path} : 'http://index:9200/edusharing';
+ $self->{_age} = defined $self->{_cfg}->{ingest} ? $self->{_cfg}->{ingest}->{age} : '12h';
+ return;
+}
+
+sub run {
+ my ($self, %args) = @_;
+
+ # args
+ $self->{_ua} = $args{ua} || croak "no ua given";
+ $self->{_msg} = $args{msg} || croak "no msg given";
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('OAIIngest_LOM start', 1);
+
+ # this method can die/croak/confess
+
+ eval {
+
+ $logger->debug('_msg ' . Dumper( $self->{_msg} ), 2);
+
+ $logger->info('OAIIngest_LOM workout start', 1);
+
+ $logger->info('prepare metadata', 2);
+
+ # require 'App/Type/LOMIngest_general.pm';
+ # require 'App/Type/LOMIngest_edusharing.pm';
+
+ # apparently Net::AMQP::RabbitMQ->recv() returns a Perl data structure
+ # hence, we have to encode it to UTF-8 before decode_json
+ #
+ # https://perldoc.perl.org/Encode.html
+ # "Encodes [..] from Perl's internal form into ENCODING"
+ # Perl -> UTF-8
+ my $body = encode( 'UTF-8', $self->{_msg}->{body} );
+ $logger->debug('body ' . Dumper( $body ), 2);
+ $logger->info('OAIIngest_LOM decode body', 2);
+
+ # https://perldoc.perl.org/Encode.html
+ # "Encodes [..] from Perl's internal form into ENCODING"
+ # Perl -> UTF-8
+ my $item = decode_json( $body );
+ # body has LOM as json
+
+ my $id = getId($item, $self->{_msg}->{routing_key}) || ""; # example: 'oer-repo.uibk.ac.at'
+ if ($id eq "") {
+ $logger->info('processing id[] skipped, reason unknown id!', 1);
+ } else {
+ $logger->info('processing id[' . $id .']', 1);
+
+ # custom filter
+ $logger->info('custom filter', 2);
+
+ #$item->{oea_title} = getTitle($item);
+ $item->{oea_title} = getTitleMostRelated($item);
+ $item->{oea_title_ml} = getLangTitle($item);
+ #$item->{oea_abstract} = getAbstract($item); # dont use this anymore
+ #$item->{oea_abstract} = getAbstractMostRelated($item);
+ my $abs = getAbstractMostRelated($item);
+ if (length($abs) gt 0) {
+ $item->{oea_abstract} = $abs;
+ } else {
+ $item->{oea_abstract} = "Keine Beschreibung vorhanden!";
+ }
+ $item->{oea_abstract_ml} = getLangAbstract($item);
+ my $aut = getAuthors($item);
+ if (scalar @$aut gt 0) {
+ $item->{oea_authors} = getAuthors($item);
+ } else {
+ $item->{oea_authors} = getPublishers($item);
+ }
+ $item->{oea_object_direct_link} = getDirectLink($item);
+ $item->{oea_thumbnail_url} = getThumbnailUrl($item) || "";
+ $item->{oea_classification_00} = getFormat($item);
+ $item->{oea_ingest} = ingestTimeStamp();
+
+ my $txt_de = '';
+ my $txt_en = '';
+ my $tag = '';
+ my $obj = {};
+
+ my $vocabsOefos = App::Type::Vocabs->new( vocabs => 'vocabs.oefos2012');
+ my $list = getOefosList($item);
+ my $subCatList = onlyOefosSubCategories($list);
+ my $disciplines;
+ for my $i ( @$subCatList ) {
+ if ($i eq "") {
+ $obj = {
+ id => '999999',
+ name_de => "Sonstiges",
+ name_en => "Other",
+ tag => "OEAUNDEF"
+ };
+ }
+ else {
+ $txt_de = $vocabsOefos->getVocab($i, 'name_de');
+ $txt_en = $vocabsOefos->getVocab($i, 'name_en');
+ $tag = $vocabsOefos->getVocab($i, 'tag');
+ $obj = {
+ id => $i,
+ name_de => $txt_de,
+ name_en => $txt_en,
+ tag => $tag
+ };
+ }
+ push (@$disciplines, $obj);
+ }
+ $item->{oea_classification_01} = \@$disciplines;
+
+ my $vocabsSpdx = App::Type::Vocabs->new( vocabs => 'vocabs.spdx');
+ my $lic = getLicense($item);
+ my $spdx = $vocabsSpdx->getVocab($lic, 'name_en');
+ if ( $lic eq "" ) {
+ $item->{oea_valid} = 'false';
+ $item->{oea_unvalid_remark} = 'empty license string';
+ } elsif ( $spdx eq "" ) {
+ $item->{oea_valid} = 'false';
+ $item->{oea_unvalid_remark} = 'no valid license: '.$lic;
+ } else {
+ $item->{oea_classification_02} = $lic;
+ $item->{oea_valid} = 'true';
+ }
+
+ $item->{oea_classification_03} = getCreated($item); # $item->{created};
+
+ my $vocabsLearningRT = App::Type::Vocabs->new( vocabs => 'vocabs.kim.hcrt');
+ my $learningresourcetypeList = getLearningRTList($item);
+ my $learningresourcetypes;
+ for my $i ( @$learningresourcetypeList ) {
+ if ($i eq "") {
+ $obj = {
+ id => '999999',
+ name_de => "Nicht bekannt",
+ name_en => "Not defined",
+ tag => "OEAUNDEF"
+ };
+ }
+ else {
+ $txt_de = $vocabsLearningRT->getVocab($i, 'name_de');
+ $txt_en = $vocabsLearningRT->getVocab($i, 'name_en');
+ $tag = $vocabsLearningRT->getVocab($i, 'tag');
+ # HCRT Hochschulcampus ResourcenTypen https://github.com/dini-ag-kim/hcrt
+ $obj = {
+ id => $i,
+ name_de => $txt_de,
+ name_en => $txt_en,
+ tag => $tag
+ };
+ }
+ push (@$learningresourcetypes, $obj);
+ }
+ $item->{oea_classification_04} = \@$learningresourcetypes;
+ $item->{oea_classification_05} = getTechnicalFormat($item);
+
+ my $vocabsLanguage = App::Type::Vocabs->new( vocabs => 'vocabs.iso639');
+ my $languageList = getLanguageList($item);
+ my $languages;
+ my $language2digit;
+ for my $i ( @$languageList ) {
+ if ($i eq "") {
+ $obj = {
+ id => '999999',
+ name_de => "Nicht bekannt",
+ name_en => "Not defined",
+ tag => "OEAUNDEF"
+ };
+ }
+ else {
+ $language2digit = substr($i, 0, 2);
+ $txt_de = $vocabsLanguage->getVocab($language2digit, 'name_de');
+ $txt_en = $vocabsLanguage->getVocab($language2digit, 'name_en');
+ $tag = $vocabsLanguage->getVocab($language2digit, 'tag');
+ $obj = {
+ id => $language2digit,
+ name_de => $txt_de,
+ name_en => $txt_en,
+ tag => $tag
+ };
+ }
+ push (@$languages, $obj);
+ }
+ $item->{oea_classification_06} = \@$languages;
+
+ # custom delete
+ foreach my $titles ( $item->{general}->{title} ) {
+ my $titles_type = ref($titles);
+ my $j = 0;
+ foreach my $i (@$titles) {
+ my $i_type = ref($i);
+ if ( $i_type ne "HASH" ) {
+ $logger->info('delete general.title [' .$j. '] - reason:mapper_parsing_exception', 1);
+ delete $item->{general}->{title}[$j];
+ }
+ $j++;
+ }
+ }
+
+ for my $keywords ( $item->{general}->{keywords} ) {
+ my $keywords_type = ref($keywords);
+ my $j = 0;
+ foreach my $i (@$keywords) {
+ if ( $keywords_type ne "HASH" ) {
+ $logger->info('delete general.keywords [' .$j. '] - reason:mapper_parsing_exception', 1);
+ delete $item->{general}->{keywords}[$j];
+ }
+ $j++;
+ }
+ }
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 0;
+ $logger->debug('item ' . Dumper( $item ), 2);
+ }
+
+ my $uri = $self->{_uri} . "/_doc/$id";
+ $logger->info("uri |$uri|", 2);
+
+ # encode_json item as $data
+ $logger->info('encode_json item', 2);
+ my $data = encode_json( $item );
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 0;
+ $logger->debug('data ' . Dumper( $data ), 2);
+ }
+
+ $logger->info('req HTTP::Request->new', 2);
+ my $req = HTTP::Request->new( 'PUT', $uri );
+ $req->header( 'Content-Type' => 'application/json' );
+ $req->content( $data );
+
+ $logger->info('ingest start', 2);
+ my $res = $self->{_ua}->request( $req );
+ if ( !$res->is_success() ) {
+ $logger->fatal("no valid response from uri |$uri|, status_line |".$res->status_line()."|, content |".$res->content()."|");
+ # croak "no valid response from uri |$uri|, status_line |".$res->status_line()."|, content |".$res->content()."|";
+ }
+ $logger->info('res status_line |'.$res->status_line().'|', 2);
+ $logger->info('res content |'.$res->content().'|', 2);
+ $logger->info('ingest done', 2);
+ }
+ # remove old data
+ my $uri_delete = $self->{_uri} . "/_delete_by_query";
+ $logger->info("uri |$uri_delete|", 2);
+ my $req_delete = HTTP::Request->new( 'POST', $uri_delete );
+ $req_delete->header( 'Content-Type' => 'application/json' );
+ my $del_query = '{ "query": { "range": { "oea_ingest": { "lte": "now-'.$self->{_age}.'" } } } }';
+ $req_delete->content( $del_query );
+
+ $logger->info('delete start (lte '.$self->{_age}.')', 2);
+ my $res_delete = $self->{_ua}->request( $req_delete );
+ if ( !$res_delete->is_success() ) {
+ $logger->fatal("no valid response from uri |$uri_delete|, status_line |".$res_delete->status_line()."|, content |".$res_delete->content()."|");
+ # croak "no valid response from uri |$uri_delete|, status_line |".$res_delete->status_line()."|, content |".$res_delete->content()."|";
+ }
+ $logger->info('res status_line |'.$res_delete->status_line().'|', 2);
+ $logger->info('res content |'.$res_delete->content().'|', 2);
+ $logger->info('delete done', 2);
+
+ $logger->info('OAIIngest_LOM workout done', 1);
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("OAIIngest_LOM died |$syntax_error_message|");
+ croak $syntax_error_message;
+ }
+
+ $logger->info('OAIIngest_LOM done', 1);
+
+ return;
+}
+
+1;
+
+__END__
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_LOM_invenio.pm b/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_LOM_invenio.pm
new file mode 100644
index 0000000000000000000000000000000000000000..92348ff1436d7d9e4e5d1a7968996d4cf7bee3ac
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/OAIIngest_LOM_invenio.pm
@@ -0,0 +1,328 @@
+package App::Type::OAIIngest_LOM_invenio;
+
+# workout job type OAIIngest_LOM
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use Encode;
+use App::Logger;
+use App::Type::LOMIngest_invenio;
+use App::Type::Vocabs;
+use JSON::XS;
+use LWP::Simple;
+use Text::CSV_XS;
+# use XML::Simple; Not Used
+use utf8;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_cfg} = $args{cfg} || croak "no cfg given";
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_cfg}->{log}->{path}.'/'.$self->{_cfg}->{log}->{filename},
+ debug => defined $self->{_cfg}->{debug} ? $self->{_cfg}->{debug} : 1,
+ verbosity => defined $self->{_cfg}->{verbosity} ? $self->{_cfg}->{verbosity} : 2,
+ );
+
+ $self->{_logger}->debug('_cfg ' . Dumper( $self->{_cfg} ) );
+
+ $self->{_uri} = defined $self->{_cfg}->{uri} ? $self->{_cfg}->{uri}->{scheme} . ':' . $self->{_cfg}->{uri}->{authority} . $self->{_cfg}->{uri}->{path} : 'http://index:9200/invenio';
+ $self->{_age} = defined $self->{_cfg}->{ingest} ? $self->{_cfg}->{ingest}->{age} : '12h';
+ return;
+}
+
+sub run {
+ my ($self, %args) = @_;
+
+ # args
+ $self->{_ua} = $args{ua} || croak "no ua given";
+ $self->{_msg} = $args{msg} || croak "no msg given";
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('OAIIngest_LOM start', 1);
+
+ # this method can die/croak/confess
+
+ eval {
+
+ $logger->debug('_msg ' . Dumper( $self->{_msg} ), 2);
+
+ $logger->info('OAIIngest_LOM workout start', 1);
+
+ $logger->info('prepare metadata', 2);
+
+ # apparently Net::AMQP::RabbitMQ->recv() returns a Perl data structure
+ # hence, we have to encode it to UTF-8 before decode_json
+ #
+ # https://perldoc.perl.org/Encode.html
+ # "Encodes [..] from Perl's internal form into ENCODING"
+ # Perl -> UTF-8
+ my $body = encode( 'UTF-8', $self->{_msg}->{body} );
+ $logger->debug('body ' . Dumper( $body ), 2);
+ $logger->info('OAIIngest_LOM decode body', 2);
+
+ # https://perldoc.perl.org/Encode.html
+ # "Encodes [..] from Perl's internal form into ENCODING"
+ # Perl -> UTF-8
+ my $item = decode_json( $body );
+ # body has LOM as json
+
+ my $id = getId($item, $self->{_msg}->{routing_key}) || ""; # 'repository.tugraz.at'
+ if ($id eq "") {
+ $logger->info('processing id[] skipped, reason unknown id!', 1);
+ } else {
+ $logger->info('processing id[' . $id .']', 1);
+
+ # custom filter
+ $logger->info('custom filter', 2);
+
+ #$item->{oea_title} = getTitle($item);
+ $item->{oea_title} = getTitleMostRelated($item);
+ $item->{oea_title_ml} = getLangTitle($item);
+ #$item->{oea_abstract} = getAbstract($item); # do not use this anymore
+ #$item->{oea_abstract} = getAbstractMostRelated($item);
+ my $abs = getAbstractMostRelated($item);
+ if (length($abs) gt 0) {
+ $item->{oea_abstract} = $abs;
+ } else {
+ $item->{oea_abstract} = "Keine Beschreibung vorhanden!";
+ }
+ $item->{oea_abstract_ml} = getLangAbstract($item);
+ my $aut = getAuthors($item);
+ if (scalar @$aut gt 0) {
+ $item->{oea_authors} = getAuthors($item);
+ } else {
+ $item->{oea_authors} = getPublishers($item);
+ }
+ $item->{oea_object_direct_link} = getDOILink($item) || getDirectLink($item);
+ $item->{oea_thumbnail_url} = getThumbnailUrl($item) || "";
+ $item->{oea_classification_00} = getFormat($item);
+ $item->{oea_classification_05} = getTechnicalFormat($item);
+ $item->{oea_ingest} = ingestTimeStamp();
+
+ my $txt_de = '';
+ my $txt_en = '';
+ my $tag = '';
+ my $obj = {};
+
+ my $vocabsOefos = App::Type::Vocabs->new( vocabs => 'vocabs.oefos2012');
+ my $list = getOefosList($item);
+ my $subCatList = onlyOefosSubCategories($list);
+ my $disciplines;
+ for my $i ( @$subCatList ) {
+ if ($i eq "") {
+ $obj = {
+ id => '999999',
+ name_de => "Sonstiges",
+ name_en => "Other",
+ tag => "OEAUNDEF"
+ };
+ }
+ else {
+ $txt_de = $vocabsOefos->getVocab($i, 'name_de');
+ $txt_en = $vocabsOefos->getVocab($i, 'name_en');
+ $tag = $vocabsOefos->getVocab($i, 'tag');
+ $obj = {
+ id => $i,
+ name_de => $txt_de,
+ name_en => $txt_en,
+ tag => $tag
+ };
+ }
+ push (@$disciplines, $obj);
+ }
+ $item->{oea_classification_01} = \@$disciplines;
+
+ my $vocabsSpdx = App::Type::Vocabs->new( vocabs => 'vocabs.spdx');
+ my $lic = getLicense($item);
+ my $spdx = $vocabsSpdx->getVocab($lic, 'name_en');
+ if ( $lic eq "" ) {
+ $item->{oea_valid} = 'false';
+ $item->{oea_unvalid_remark} = 'empty license string';
+ } elsif ( $spdx eq "" ) {
+ $item->{oea_valid} = 'false';
+ $item->{oea_unvalid_remark} = 'no valid license: '.$lic;
+ } else {
+ $item->{oea_classification_02} = $lic;
+ $item->{oea_valid} = 'true';
+ }
+
+ $item->{oea_classification_03} = getCreated($item); # $item->{created};
+
+ my $vocabsLearningRT = App::Type::Vocabs->new( vocabs => 'vocabs.kim.hcrt');
+ my $learningresourcetypeList = getLearningRTList($item);
+ my $learningresourcetypes;
+ for my $i ( @$learningresourcetypeList ) {
+ if ($i eq "") {
+ $obj = {
+ id => $i,
+ name_de => "Nicht bekannt",
+ name_en => "Not defined",
+ tag => "OEAUNDEF"
+ };
+ }
+ else {
+ $txt_de = $vocabsLearningRT->getVocab($i, 'name_de');
+ $txt_en = $vocabsLearningRT->getVocab($i, 'name_en');
+ $tag = $vocabsLearningRT->getVocab($i, 'tag');
+ # HCRT Hochschulcampus ResourcenTypen https://github.com/dini-ag-kim/hcrt
+ $obj = {
+ id => $i,
+ name_de => $txt_de,
+ name_en => $txt_en,
+ tag => $tag
+ };
+ }
+ push (@$learningresourcetypes, $obj);
+ }
+ $item->{oea_classification_04} = \@$learningresourcetypes;
+ $item->{oea_classification_05} = getTechnicalFormat($item);
+
+ my $vocabsLanguage = App::Type::Vocabs->new( vocabs => 'vocabs.iso639');
+ my $languageList = getLanguageList($item);
+ my $languages;
+ my $language2digit;
+ for my $i ( @$languageList ) {
+ if ($i eq "") {
+ $obj = {
+ id => "999999",
+ name_de => "Nicht bekannt",
+ name_en => "Not defined",
+ tag => "OEAUNDEF"
+ };
+ }
+ else {
+ $language2digit= substr($i, 0, 2);
+ $txt_de = $vocabsLanguage->getVocab($language2digit, 'name_de');
+ $txt_en = $vocabsLanguage->getVocab($language2digit, 'name_en');
+ $tag = $vocabsLanguage->getVocab($language2digit, 'tag');
+ $obj = {
+ id => $language2digit,
+ name_de => $txt_de,
+ name_en => $txt_en,
+ tag => $tag
+ };
+ }
+ push (@$languages, $obj);
+ }
+ $item->{oea_classification_06} = \@$languages;
+
+ # custom delete
+ foreach my $titles ( $item->{general}->{title} ) {
+ my $titles_type = ref($titles);
+ my $j = 0;
+ foreach my $i (@$titles) {
+ my $i_type = ref($i);
+ if ( $i_type ne "HASH" ) {
+ $logger->info('delete general.title [' .$j. '] - reason:mapper_parsing_exception', 1);
+ delete $item->{general}->{title}[$j];
+ }
+ $j++;
+ }
+ }
+
+ for my $keywords ( $item->{general}->{keywords} ) {
+ my $keywords_type = ref($keywords);
+ my $j = 0;
+ foreach my $i (@$keywords) {
+ if ( $keywords_type ne "HASH" ) {
+ $logger->info('delete general.keywords [' .$j. '] - reason:mapper_parsing_exception', 1);
+ delete $item->{general}->{keywords}[$j];
+ }
+ $j++;
+ }
+ }
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 0;
+ $logger->debug('item ' . Dumper( $item ), 2);
+ }
+
+ my $uri = $self->{_uri} . "/_doc/$id";
+ $logger->info("uri |$uri|", 2);
+
+ # encode_json item as $data
+ $logger->info('encode_json item', 2);
+ my $data = encode_json( $item );
+
+ {
+ # settings
+ local $Data::Dumper::Indent = 0;
+ $logger->debug('data ' . Dumper( $data ), 2);
+ }
+
+ $logger->info('req HTTP::Request->new', 2);
+ my $req = HTTP::Request->new( 'PUT', $uri );
+ $req->header( 'Content-Type' => 'application/json' );
+ $req->content( $data );
+
+ $logger->info('ingest start', 2);
+ my $res = $self->{_ua}->request( $req );
+ if ( !$res->is_success() ) {
+ $logger->fatal("no valid response from uri |$uri|, status_line |".$res->status_line()."|, content |".$res->content()."|");
+ croak "no valid response from uri |$uri|, status_line |".$res->status_line()."|, content |".$res->content()."|";
+ }
+ $logger->info('res status_line |'.$res->status_line().'|', 2);
+ $logger->info('res content |'.$res->content().'|', 2);
+ $logger->info('ingest done', 2);
+ }
+ # remove old data
+ my $uri_delete = $self->{_uri} . "/_delete_by_query";
+ $logger->info("uri |$uri_delete|", 2);
+ my $req_delete = HTTP::Request->new( 'POST', $uri_delete );
+ $req_delete->header( 'Content-Type' => 'application/json' );
+ my $del_query = '{ "query": { "range": { "oea_ingest": { "lte": "now-'.$self->{_age}.'" } } } }';
+ $req_delete->content( $del_query );
+
+ $logger->info('delete start (lte '.$self->{_age}.')', 2);
+ my $res_delete = $self->{_ua}->request( $req_delete );
+ if ( !$res_delete->is_success() ) {
+ $logger->fatal("no valid response from uri |$uri_delete|, status_line |".$res_delete->status_line()."|, content |".$res_delete->content()."|");
+ # croak "no valid response from uri |$uri_delete|, status_line |".$res_delete->status_line()."|, content |".$res_delete->content()."|";
+ }
+ $logger->info('res status_line |'.$res_delete->status_line().'|', 2);
+ $logger->info('res content |'.$res_delete->content().'|', 2);
+ $logger->info('delete done', 2);
+
+ $logger->info('OAIIngest_LOM workout done', 1);
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("OAIIngest_LOM died |$syntax_error_message|");
+ croak $syntax_error_message;
+ }
+
+ $logger->info('OAIIngest_LOM done', 1);
+
+ return;
+}
+
+1;
+
+__END__
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/Vocabs.pm b/oeaplatform/metaingest/perl/lib/App/Type/Vocabs.pm
new file mode 100644
index 0000000000000000000000000000000000000000..4c3450aa65356d452ed3599d816f88d8c501a1aa
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/Vocabs.pm
@@ -0,0 +1,91 @@
+package App::Type::Vocabs;
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use Encode;
+use App::Logger;
+use utf8;
+use JSON::XS;
+use HTTP::Request;
+use LWP::UserAgent;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_index} = $args{vocabs} || croak "no vocabs given";
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+ # config
+ my $config = YAML::Syck::LoadFile("$FindBin::Bin/etc/sources/vocabs/config.yml");
+ my $index = $self->{_index};
+ my $cfg = $config->{vocabs}->{ $index }->{cfg};
+ # print "show cfg " . Dumper( $cfg ) ;
+ # print "show debug " . Dumper( $cfg->{debug} ) ;
+ # print "show path " . Dumper( $cfg->{log}->{path} ) ;
+ # print "show file " . Dumper( $cfg->{log}->{filename} ) ;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$cfg->{log}->{path}.'/'.$cfg->{log}->{filename},
+ debug => defined $cfg->{debug} ? $cfg->{debug} : 1,
+ verbosity => defined $cfg->{verbosity} ? $cfg->{verbosity} : 2,
+ );
+
+
+ $self->{_logger}->debug('cfg ' . Dumper( $cfg ) );
+ $self->{_uri} = defined $cfg->{uri} ? $cfg->{uri}->{scheme} . ':' . $cfg->{uri}->{authority} . $cfg->{uri}->{path} : 'http://index:9200/' . $index;
+
+ return;
+}
+
+sub getVocab {
+ my ($self, $id, $what) = @_;
+ if ( $id ne "" ) {
+ my $uri = $self->{_uri} . "/_doc/$id";
+ $self->{_logger}->info('uri |'.$uri.'|', 2);
+ my $req = HTTP::Request->new( 'GET', $uri );
+ my $ua = LWP::UserAgent->new;
+ # $req->header( 'Content-Type' => 'application/json' );
+ my $source;
+ my $res = $ua->request( $req );
+
+ if ( !$res->is_success() ) {
+ $self->{_logger}->fatal("no valid response from uri |$uri|, status_line |".$res->status_line()."|, content |".$res->content()."|");
+ return "";
+ } else {
+ my $body = decode_json($res->content());
+ my $source = $body->{_source};
+ $self->{_logger}->info('res status_line |'.$res->status_line().'|', 2);
+ if ( $what ne "" ) {
+ return $source->{$what};
+ } else {
+ $self->{_logger}->info('processing id[' . $id . '] skipped, reason unknown what!', 1);
+ return "";
+ }
+ }
+ } else {
+ $self->{_logger}->info('processing id[] skipped, reason unknown id!', 1);
+ return "";
+ }
+}
+
+1;
+
+__END__
diff --git a/oeaplatform/metaingest/perl/lib/App/Type/dummy.pm b/oeaplatform/metaingest/perl/lib/App/Type/dummy.pm
new file mode 100644
index 0000000000000000000000000000000000000000..4e42c968c3958c04e88e36c451a08fe9bf848b29
--- /dev/null
+++ b/oeaplatform/metaingest/perl/lib/App/Type/dummy.pm
@@ -0,0 +1,86 @@
+package App::Type::dummy;
+
+# workout job type dummy
+
+use strict;
+use warnings;
+
+use Carp;
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../../";
+use App::Logger;
+
+sub new {
+ my ($class, %args) = @_;
+
+ my $self = {};
+ # mandatory
+ $self->{_cfg} = $args{cfg} || croak "no cfg given";
+
+ bless($self, $class);
+
+ $self->_init();
+
+ return $self;
+}
+
+sub _init {
+ my ($self) = @_;
+ croak "_init is private" if caller() ne __PACKAGE__;
+
+ # new logger
+ $self->{_logger} = App::Logger->new(
+ file => $FindBin::Bin.'/'.$self->{_cfg}->{log}->{path}.'/'.$self->{_cfg}->{log}->{filename},
+ debug => defined $self->{_cfg}->{debug} ? $self->{_cfg}->{debug} : 1,
+ verbosity => defined $self->{_cfg}->{verbosity} ? $self->{_cfg}->{verbosity} : 2,
+ );
+
+ $self->{_logger}->debug('_cfg ' . Dumper( $self->{_cfg} ) );
+
+ return;
+}
+
+sub run {
+ my ($self, %args) = @_;
+
+ # args
+ $self->{_ua} = $args{ua} || croak "no ua given";
+ $self->{_msg} = $args{msg} || croak "no msg given";
+
+ ## settings
+ # shortcut
+ my $logger = $self->{_logger};
+
+ $logger->info('dummy start', 1);
+
+ # this method can die/croak/confess
+
+ eval {
+
+ $logger->debug('_msg ' . Dumper( $self->{_msg} ), 2);
+
+ $logger->info('dummy workout start', 1);
+
+ $logger->warning('this method should never be called');
+
+ $logger->info('dummy workout done', 1);
+
+ }; # eval
+ if ( $@ ) {
+ my $syntax_error_message = $@;
+ chomp $syntax_error_message;
+ $logger->fatal("dummy died |$syntax_error_message|");
+ croak $syntax_error_message;
+ }
+
+ $logger->info('dummy done', 1);
+
+ return;
+}
+
+1;
+
+__END__
+
diff --git a/oeaplatform/metaingest/perl/t/00_compile.t b/oeaplatform/metaingest/perl/t/00_compile.t
new file mode 100755
index 0000000000000000000000000000000000000000..ed495b361a917a098f1127778d3d3ae55742018a
--- /dev/null
+++ b/oeaplatform/metaingest/perl/t/00_compile.t
@@ -0,0 +1,45 @@
+#!/usr/bin/env perl
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use FindBin;
+use Test::More;
+
+use utf8;
+
+my $tree = {
+# 'file' => <0:skip|1:test>,
+ 'daemon.pl' => 1,
+ 'lib/App.pm' => 1,
+ 'lib/App/Logger.pm' => 1,
+ 'lib/App/Type/Openlib.pm' => 1,
+ 'lib/App/Type/Phaidra.pm' => 1,
+ 'lib/App/Type/OAIIngest_DC.pm' => 1,
+ 'lib/App/Type/LOMIngest_general.pm' => 1,
+ 'lib/App/Type/LOMIngest_invenio.pm' => 1,
+ 'lib/App/Type/LOMIngest_edusharing.pm' => 1,
+ 'lib/App/Type/OAIIngest_LOM_invenio.pm' => 1,
+ 'lib/App/Type/OAIIngest_LOM_edusharing.pm' => 1,
+ 'lib/App/Type/dummy.pm' => 1,
+};
+my $dir = "$FindBin::Bin/..";
+
+SCRIPT:
+for my $script ( keys %$tree ) {
+ next SCRIPT unless $tree->{ $script };
+ my $file = "$dir/$script";
+ my $res;
+ eval {
+ $res = `perl -c $file 2>&1`;
+ chomp $res;
+ };
+ is( $res, "$file syntax OK", "$file compiled" );
+}
+
+done_testing();
+
+exit(0);
+
diff --git a/oeaplatform/metaingest/perl/t/01_use.t b/oeaplatform/metaingest/perl/t/01_use.t
new file mode 100755
index 0000000000000000000000000000000000000000..cdfc0b7eb75953e7b0a864f29401e6592b6aa123
--- /dev/null
+++ b/oeaplatform/metaingest/perl/t/01_use.t
@@ -0,0 +1,38 @@
+#!/usr/bin/env perl
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../lib";
+use Test::More;
+
+use utf8;
+
+my $tree;
+
+BEGIN {
+ $tree = {
+ # 'module' => <0:skip|1:test>,
+ 'App' => 1,
+ 'App::Logger' => 1,
+ 'App::Type::Openlib' => 1,
+ 'App::Type::Phaidra' => 1,
+ 'App::Type::OAIIngest_DC' => 1,
+ 'App::Type::OAIIngest_LOM_invenio' => 1,
+ 'App::Type::OAIIngest_LOM_edusharing' => 1,
+ 'App::Type::dummy' => 1,
+ };
+ MODULE:
+ for my $module ( keys %$tree ) {
+ next MODULE unless $tree->{ $module };
+ use_ok( $module );
+ }
+}
+
+done_testing();
+
+exit(0);
+
diff --git a/oeaplatform/metaingest/perl/t/02_can.t b/oeaplatform/metaingest/perl/t/02_can.t
new file mode 100755
index 0000000000000000000000000000000000000000..deda270fc0ad9ba61e3e0b924466e60c3108acec
--- /dev/null
+++ b/oeaplatform/metaingest/perl/t/02_can.t
@@ -0,0 +1,69 @@
+#!/usr/bin/env perl
+
+use strict;
+use warnings;
+
+use Data::Dumper;
+
+use FindBin;
+use lib "$FindBin::Bin/../lib";
+use Test::More;
+
+use utf8;
+
+my $tree;
+
+BEGIN {
+ $tree = {
+ # 'module' => {
+ # 'method' => <0:skip|1:test>,
+ # },
+ 'App' => {
+ '_init' => 1,
+ '_sanity' => 1,
+ '_slurp' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ 'App::Logger' => {
+ '_init' => 1,
+ '_write' => 1,
+ 'new' => 1,
+ },
+ 'App::Type::Openlib' => {
+ '_init' => 1,
+ '_prepare_oefos' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ 'App::Type::Phaidra' => {
+ '_init' => 1,
+ '_prepare_oefos' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ 'App::Type::dummy' => {
+ '_init' => 1,
+ 'new' => 1,
+ 'run' => 1,
+ },
+ };
+ MODULE:
+ for my $module ( keys %$tree ) {
+ use_ok( $module );
+ }
+}
+
+MODULE:
+for my $module ( keys %$tree ) {
+ METHOD:
+ for my $method ( keys %{$tree->{ $module }} ) {
+ next METHOD unless $tree->{ $module }->{ $method };
+ can_ok( $module, $method );
+ }
+}
+
+done_testing();
+
+exit(0);
+
diff --git a/oeaplatform/metaingest/perl/t/run.sh b/oeaplatform/metaingest/perl/t/run.sh
new file mode 100755
index 0000000000000000000000000000000000000000..11f43799ee5cd47bcee4c35c1193bc2863d7fbc2
--- /dev/null
+++ b/oeaplatform/metaingest/perl/t/run.sh
@@ -0,0 +1,10 @@
+#!/bin/bash
+
+## settings_begin
+DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )
+## settings_end
+
+prove $DIR
+
+exit 0
+
diff --git a/oeaplatform/nginx/Dockerfile b/oeaplatform/nginx/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..974ba29564d33e1cc59b676a0e3e4c44cfed6aca
--- /dev/null
+++ b/oeaplatform/nginx/Dockerfile
@@ -0,0 +1,61 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION="1.26.3" \
+ APP_BRANCH="stable"
+# APP_BRANCH possible branch: "stable" or "mainline"
+# Remark DOCKER_REG has to end with / if specified
+
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS osbase
+
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && apt-get -y install tzdata
+
+FROM osbase AS nginxbuilder
+ARG OS_RELEASE \
+ APP_VERSION \
+ OC_CREATED
+LABEL org.opencontainers.image.title=nginx \
+ org.opencontainers.image.vendor=UniVie \
+ org.opencontainers.image.authors=pt \
+ org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE} \
+ org.opencontainers.image.created=${OC_CREATED}
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+ENV NGINX_VERSION=${APP_VERSION}
+ENV NGINX_BRANCH=${APP_BRANCH}
+
+## install
+# nginx
+RUN apt-get update && apt-get install -y gnupg curl lsb-release
+RUN mkdir -p /etc/apt/keyrings && mkdir -p /etc/ssl/nginx \
+ && curl -lsLf https://nginx.org/keys/nginx_signing.key | gpg --dearmor -o /etc/apt/keyrings/nginx_signing.key \
+ && echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/nginx_signing.key] https://nginx.org/packages/$(NGINX_BRANCH)/ubuntu/ $(lsb_release -cs) nginx" | tee /etc/apt/sources.list.d/nginx.list > /dev/null
+RUN apt update && apt install -y nginx=${NGINX_VERSION}-1~$(lsb_release -cs)
+
+## remove
+RUN apt purge gnupg curl lsb-release -y && \
+ apt autoremove -y && \
+ rm -rfv /var/lib/apt/lists/*
+
+## config
+# nginx
+RUN mv /etc/nginx/nginx.conf /etc/nginx/nginx.conf.dist
+COPY nginx.conf /etc/nginx/nginx.conf
+
+COPY ./docker-entrypoint.sh /docker-entrypoint.sh
+RUN mkdir /docker-entrypoint.d
+
+## host storage
+VOLUME /var/log/nginx
+
+## expose ports
+EXPOSE 80 443 7443 8443
+
+## run
+ENTRYPOINT ["/docker-entrypoint.sh"]
+STOPSIGNAL SIGQUIT
+CMD ["nginx", "-g", "daemon off;"]
diff --git a/oeaplatform/nginx/docker-entrypoint.sh b/oeaplatform/nginx/docker-entrypoint.sh
new file mode 100755
index 0000000000000000000000000000000000000000..88732541bc9c5f80c5121195a97989d67b49ec7a
--- /dev/null
+++ b/oeaplatform/nginx/docker-entrypoint.sh
@@ -0,0 +1,38 @@
+#!/bin/sh
+# vim:sw=4:ts=4:et
+
+set -e
+
+if [ -z "${NGINX_ENTRYPOINT_QUIET_LOGS:-}" ]; then
+ exec 3>&1
+else
+ exec 3>/dev/null
+fi
+
+if [ "$1" = "nginx" -o "$1" = "nginx-debug" ]; then
+ if /usr/bin/find "/docker-entrypoint.d/" -mindepth 1 -maxdepth 1 -type f -print -quit 2>/dev/null | read v; then
+ echo >&3 "$0: /docker-entrypoint.d/ is not empty, will attempt to perform configuration"
+
+ echo >&3 "$0: Looking for shell scripts in /docker-entrypoint.d/"
+ find "/docker-entrypoint.d/" -follow -type f -print | sort -n | while read -r f; do
+ case "$f" in
+ *.sh)
+ if [ -x "$f" ]; then
+ echo >&3 "$0: Launching $f";
+ "$f"
+ else
+ # warn on shell scripts without exec bit
+ echo >&3 "$0: Ignoring $f, not executable";
+ fi
+ ;;
+ *) echo >&3 "$0: Ignoring $f";;
+ esac
+ done
+
+ echo >&3 "$0: Configuration complete; ready for start up"
+ else
+ echo >&3 "$0: No files found in /docker-entrypoint.d/, skipping configuration"
+ fi
+fi
+
+exec "$@"
diff --git a/oeaplatform/nginx/nginx.conf b/oeaplatform/nginx/nginx.conf
new file mode 100644
index 0000000000000000000000000000000000000000..0cfce47db8d3fb5272a88f2f1bbff60c209b4759
--- /dev/null
+++ b/oeaplatform/nginx/nginx.conf
@@ -0,0 +1,102 @@
+events {
+ worker_connections 1024;
+}
+http {
+ log_format ext '{$hostname} [$http_x_forwarded_for] $remote_addr - $remote_user [$time_local] "$request" $status $body_bytes_sent $request_time "$http_referer" "$http_user_agent"';
+# upstream below was replaced with dynamic settings in each location (set and proxy_pass)
+# upstream index {
+# server index:9200;
+# keepalive 15;
+# }
+# upstream stats {
+# server stats:5601;
+# keepalive 15;
+# }
+# upstream mq {
+# server mq:15672;
+# keepalive 15;
+# }
+ server {
+ listen 80;
+ access_log /var/log/nginx/access.log ext;
+ return 301 https://$host$request_uri;
+ }
+ server {
+ listen 443 ssl;
+ access_log /var/log/nginx/access.log ext;
+ resolver 127.0.0.11 valid=30s;
+
+ ssl_certificate /etc/nginx/ssl/nginx.crt;
+ ssl_certificate_key /etc/nginx/ssl/nginx.key;
+ ssl_ciphers "EECDH+ECDSA+AESGCM:EECDH+aRSA+AESGCM:EECDH+ECDSA+SHA384:EECDH+ECDSA+SHA256:EECDH+aRSA+SHA384:EECDH+aRSA+SHA256:EECDH+aRSA+RC4:EECDH:EDH+aRSA:RC4:!aNULL:!eNULL:!LOW:!3DES:!MD5:!EXP:!PSK:!SRP:!DSS";
+ ssl_prefer_server_ciphers on;
+ ssl_protocols TLSv1.2 TLSv1.1 TLSv1;
+ ssl_session_tickets off;
+
+ # frontend's server part
+ location /search {
+ set $upstreamFrontendServer frontend-server:3000;
+ proxy_pass http://$upstreamFrontendServer;
+ }
+ # frontend's client part
+ location / {
+ set $upstreamFrontendClient frontend-client:3000;
+ proxy_pass http://$upstreamFrontendClient;
+ }
+
+ # location / {
+ # include /etc/nginx/mime.types;
+ # root /usr/share/nginx/html/search;
+ # index index.html;
+ # }
+ location /q/v1/ {
+ set $upstreamIndex index:9200;
+ proxy_pass http://$upstreamIndex/repos/_search/;
+ proxy_http_version 1.1;
+ proxy_set_header Connection 'Keep-Alive';
+ proxy_set_header Proxy-Connection 'Keep-Alive';
+ }
+ }
+ server {
+ listen 8443 ssl;
+ access_log /var/log/nginx/access.log ext;
+ resolver 127.0.0.11 valid=30s;
+
+ ssl_certificate /etc/nginx/ssl/nginx.crt;
+ ssl_certificate_key /etc/nginx/ssl/nginx.key;
+ ssl_ciphers "EECDH+ECDSA+AESGCM:EECDH+aRSA+AESGCM:EECDH+ECDSA+SHA384:EECDH+ECDSA+SHA256:EECDH+aRSA+SHA384:EECDH+aRSA+SHA256:EECDH+aRSA+RC4:EECDH:EDH+aRSA:RC4:!aNULL:!eNULL:!LOW:!3DES:!MD5:!EXP:!PSK:!SRP:!DSS";
+ ssl_prefer_server_ciphers on;
+ ssl_protocols TLSv1.2 TLSv1.1 TLSv1;
+ ssl_session_tickets off;
+
+ location / {
+ auth_basic 'access restricted';
+ auth_basic_user_file /etc/nginx/auth_basic/.htpasswd;
+ set $upstreamStats stats:5601;
+ proxy_pass http://$upstreamStats;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection 'upgrade';
+ proxy_set_header Host $host;
+ proxy_cache_bypass $http_upgrade;
+ }
+ }
+ server {
+ listen 15443 ssl;
+ access_log /var/log/nginx/access.log ext;
+ resolver 127.0.0.11 valid=30s;
+
+ ssl_certificate /etc/nginx/ssl/nginx.crt;
+ ssl_certificate_key /etc/nginx/ssl/nginx.key;
+ ssl_ciphers "EECDH+ECDSA+AESGCM:EECDH+aRSA+AESGCM:EECDH+ECDSA+SHA384:EECDH+ECDSA+SHA256:EECDH+aRSA+SHA384:EECDH+aRSA+SHA256:EECDH+aRSA+RC4:EECDH:EDH+aRSA:RC4:!aNULL:!eNULL:!LOW:!3DES:!MD5:!EXP:!PSK:!SRP:!DSS";
+ ssl_prefer_server_ciphers on;
+ ssl_protocols TLSv1.2 TLSv1.1 TLSv1;
+ ssl_session_tickets off;
+
+ location / {
+ set $upstreamMq mq:15672;
+ proxy_pass http://$upstreamMq;
+ proxy_http_version 1.1;
+ }
+ }
+}
diff --git a/oeaplatform/opensearch-dashboards/Dockerfile b/oeaplatform/opensearch-dashboards/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..505c8a3409ed648b1441d2cf94fc0465d22d0c89
--- /dev/null
+++ b/oeaplatform/opensearch-dashboards/Dockerfile
@@ -0,0 +1,68 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION=2.18.0
+# Remark DOCKER_REG has to end with / if specified
+
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS os
+ARG DEBIAN_FRONTEND=noninteractive
+USER root
+RUN apt-get update && apt-get -y install lsb-release ca-certificates curl gnupg2 wget pwgen && rm -rf /var/lib/apt/lists/*
+
+FROM os AS stage01
+ARG APP_VERSION
+ENV DASHBOARDS_VERSION=${APP_VERSION}
+ENV DISABLE_SECURITY_DASHBOARDS_PLUGIN=true
+RUN groupadd -r -g 9000 opensearch-dashboards && useradd -r -u 9000 -g 9000 opensearch-dashboards
+
+FROM stage01 AS stage02
+ENV SHARE=/usr/share/
+ENV DASHBOARDS_HOME=${SHARE}opensearch-dashboards
+ENV DASHBOARDS_SOURCE=https://artifacts.opensearch.org/releases/bundle/opensearch-dashboards/${DASHBOARDS_VERSION}/opensearch-dashboards-${DASHBOARDS_VERSION}-linux-x64.tar.gz
+ENV DASHBOARDS_DESTINATION=${DASHBOARDS_HOME}-${DASHBOARDS_VERSION}-linux-x64.tar.gz
+
+## collect
+ADD ${DASHBOARDS_SOURCE} ${DASHBOARDS_DESTINATION}
+
+## install
+RUN tar -zxvf ${DASHBOARDS_DESTINATION} -C ${SHARE} && \
+ mv ${DASHBOARDS_HOME}-${DASHBOARDS_VERSION} ${DASHBOARDS_HOME} && \
+ rm ${DASHBOARDS_DESTINATION} && \
+ chown -hR opensearch-dashboards:opensearch-dashboards ${DASHBOARDS_HOME}
+COPY --chown=opensearch-dashboards:opensearch-dashboards --chmod=755 ./config/opensearch-dashboards-docker-entrypoint-2.x.sh ${DASHBOARDS_HOME}/opensearch-dashboards-docker-entrypoint.sh
+
+WORKDIR ${DASHBOARDS_HOME}
+## config
+COPY --chown=opensearch-dashboards:opensearch-dashboards ./config/opensearch_dashboards.yml ${DASHBOARDS_HOME}/config/opensearch_dashboards.yml
+
+## remove security plugin
+USER opensearch-dashboards
+RUN ${DASHBOARDS_HOME}/bin/opensearch-dashboards-plugin remove securityDashboards
+
+FROM stage01 AS main
+USER opensearch-dashboards
+ENV SHARE=/usr/share/
+ENV DASHBOARDS_HOME=${SHARE}opensearch-dashboards
+COPY --from=stage02 ${DASHBOARDS_HOME} ${DASHBOARDS_HOME}
+ARG OS_RELEASE \
+ APP_VERSION \
+ OC_CREATED
+LABEL org.opencontainers.image.title=opensearch-dashboards \
+ org.opencontainers.image.vendor=UniVie \
+ org.opencontainers.image.authors=pt \
+ org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE} \
+ org.opencontainers.image.created=${OC_CREATED}
+
+WORKDIR ${DASHBOARDS_HOME}
+ENV PATH=/usr/share/opensearch-dashboards/bin:$PATH
+ENV DASHBOARDS_OPTS=$DASHBOARDS_OPTS
+
+## host storage
+VOLUME ${DASHBOARDS_HOME}/logs
+
+EXPOSE 5601
+
+## run
+ENTRYPOINT ["./opensearch-dashboards-docker-entrypoint.sh"]
+CMD ["opensearch-dashboards"]
diff --git a/oeaplatform/opensearch-dashboards/config/opensearch-dashboards-docker-entrypoint-2.x.sh b/oeaplatform/opensearch-dashboards/config/opensearch-dashboards-docker-entrypoint-2.x.sh
new file mode 100644
index 0000000000000000000000000000000000000000..0beb62e1109f3b55712da0060c6723fc182366b6
--- /dev/null
+++ b/oeaplatform/opensearch-dashboards/config/opensearch-dashboards-docker-entrypoint-2.x.sh
@@ -0,0 +1,242 @@
+#!/bin/bash
+
+# Copyright OpenSearch Contributors
+# SPDX-License-Identifier: Apache-2.0
+# https://github.com/opensearch-project/opensearch-build/blob/2.11.1/docker/release/config/opensearch-dashboards/opensearch-dashboards-docker-entrypoint-2.x.sh
+
+#
+# Run OpenSearch-Dashboards, using environment variables to
+# set longopts defining OpenSearch-Dashboards's configuration.
+#
+# eg. Setting the environment variable:
+#
+# OPENSEARCH_STARTUPTIMEOUT=60
+#
+# will cause OpenSearch-Dashboards to be invoked with:
+#
+# --opensearch.startupTimeout=60
+
+# Setup Home Directory
+export OPENSEARCH_DASHBOARDS_HOME=/usr/share/opensearch-dashboards
+
+opensearch_dashboards_vars=(
+ console.enabled
+ console.proxyConfig
+ console.proxyFilter
+ ops.cGroupOverrides.cpuPath
+ ops.cGroupOverrides.cpuAcctPath
+ cpu.cgroup.path.override
+ cpuacct.cgroup.path.override
+ csp.rules
+ csp.strict
+ csp.warnLegacyBrowsers
+ data.search.usageTelemetry.enabled
+ opensearch.customHeaders
+ opensearch.hosts
+ opensearch.logQueries
+ opensearch.memoryCircuitBreaker.enabled
+ opensearch.memoryCircuitBreaker.maxPercentage
+ opensearch.password
+ opensearch.pingTimeout
+ opensearch.requestHeadersWhitelist
+ opensearch.requestTimeout
+ opensearch.shardTimeout
+ opensearch.sniffInterval
+ opensearch.sniffOnConnectionFault
+ opensearch.sniffOnStart
+ opensearch.ssl.alwaysPresentCertificate
+ opensearch.ssl.certificate
+ opensearch.ssl.certificateAuthorities
+ opensearch.ssl.key
+ opensearch.ssl.keyPassphrase
+ opensearch.ssl.keystore.path
+ opensearch.ssl.keystore.password
+ opensearch.ssl.truststore.path
+ opensearch.ssl.truststore.password
+ opensearch.ssl.verificationMode
+ opensearch.username
+ i18n.locale
+ interpreter.enableInVisualize
+ opensearchDashboards.autocompleteTerminateAfter
+ opensearchDashboards.autocompleteTimeout
+ opensearchDashboards.defaultAppId
+ opensearchDashboards.index
+ logging.dest
+ logging.json
+ logging.quiet
+ logging.rotate.enabled
+ logging.rotate.everyBytes
+ logging.rotate.keepFiles
+ logging.rotate.pollingInterval
+ logging.rotate.usePolling
+ logging.silent
+ logging.useUTC
+ logging.verbose
+ map.includeOpenSearchMapsService
+ map.proxyOpenSearchMapsServiceInMaps
+ map.regionmap
+ map.tilemap.options.attribution
+ map.tilemap.options.maxZoom
+ map.tilemap.options.minZoom
+ map.tilemap.options.subdomains
+ map.tilemap.url
+ monitoring.cluster_alerts.email_notifications.email_address
+ monitoring.enabled
+ monitoring.opensearchDashboards.collection.enabled
+ monitoring.opensearchDashboards.collection.interval
+ monitoring.ui.container.opensearch.enabled
+ monitoring.ui.container.logstash.enabled
+ monitoring.ui.opensearch.password
+ monitoring.ui.opensearch.pingTimeout
+ monitoring.ui.opensearch.hosts
+ monitoring.ui.opensearch.username
+ monitoring.ui.opensearch.logFetchCount
+ monitoring.ui.opensearch.ssl.certificateAuthorities
+ monitoring.ui.opensearch.ssl.verificationMode
+ monitoring.ui.enabled
+ monitoring.ui.max_bucket_size
+ monitoring.ui.min_interval_seconds
+ newsfeed.enabled
+ ops.interval
+ path.data
+ pid.file
+ regionmap
+ security.showInsecureClusterWarning
+ server.basePath
+ server.customResponseHeaders
+ server.compression.enabled
+ server.compression.referrerWhitelist
+ server.cors
+ server.cors.origin
+ server.defaultRoute
+ server.host
+ server.keepAliveTimeout
+ server.maxPayloadBytes
+ server.name
+ server.port
+ server.rewriteBasePath
+ server.socketTimeout
+ server.ssl.cert
+ server.ssl.certificate
+ server.ssl.certificateAuthorities
+ server.ssl.cipherSuites
+ server.ssl.clientAuthentication
+ server.customResponseHeaders
+ server.ssl.enabled
+ server.ssl.key
+ server.ssl.keyPassphrase
+ server.ssl.keystore.path
+ server.ssl.keystore.password
+ server.ssl.truststore.path
+ server.ssl.truststore.password
+ server.ssl.redirectHttpFromPort
+ server.ssl.supportedProtocols
+ server.xsrf.disableProtection
+ server.xsrf.whitelist
+ status.allowAnonymous
+ status.v6ApiFormat
+ tilemap.options.attribution
+ tilemap.options.maxZoom
+ tilemap.options.minZoom
+ tilemap.options.subdomains
+ tilemap.url
+ timeline.enabled
+ vega.enableExternalUrls
+ apm_oss.apmAgentConfigurationIndex
+ apm_oss.indexPattern
+ apm_oss.errorIndices
+ apm_oss.onboardingIndices
+ apm_oss.spanIndices
+ apm_oss.sourcemapIndices
+ apm_oss.transactionIndices
+ apm_oss.metricsIndices
+ telemetry.allowChangingOptInStatus
+ telemetry.enabled
+ telemetry.optIn
+ telemetry.optInStatusUrl
+ telemetry.sendUsageFrom
+ vis_builder.enabled
+ data_source.enabled
+ data_source.encryption.wrappingKeyName
+ data_source.encryption.wrappingKeyNamespace
+ data_source.encryption.wrappingKey
+ data_source.audit.enabled
+ data_source.audit.appender.kind
+ data_source.audit.appender.path
+ data_source.audit.appender.layout.kind
+ data_source.audit.appender.layout.highlight
+ data_source.audit.appender.layout.pattern
+ ml_commons_dashboards.enabled
+)
+
+function setupSecurityDashboardsPlugin {
+ SECURITY_DASHBOARDS_PLUGIN="securityDashboards"
+
+ if [ -d "$OPENSEARCH_DASHBOARDS_HOME/plugins/$SECURITY_DASHBOARDS_PLUGIN" ]; then
+ if [ "$DISABLE_SECURITY_DASHBOARDS_PLUGIN" = "true" ]; then
+ echo "Disabling OpenSearch Security Dashboards Plugin"
+ ./bin/opensearch-dashboards-plugin remove securityDashboards
+
+ # Remove all security related parameters as well as changing HTTPS to HTTP
+ # Temporary fix before security-dashboards plugin implement a parameter to disable the plugin entirely
+ # https://github.com/opensearch-project/security-dashboards-plugin/issues/896
+ UPDATED_CONFIG=`cat $OPENSEARCH_DASHBOARDS_HOME/config/opensearch_dashboards.yml | sed "/^opensearch_security/d" | sed "s/https/http/g"`
+ echo "$UPDATED_CONFIG" > $OPENSEARCH_DASHBOARDS_HOME/config/opensearch_dashboards.yml
+ fi
+ fi
+}
+
+function runOpensearchDashboards {
+ longopts=()
+ for opensearch_dashboards_var in ${opensearch_dashboards_vars[*]}; do
+ # 'opensearch.hosts' -> 'OPENSEARCH_URL'
+ env_var=$(echo ${opensearch_dashboards_var^^} | tr . _)
+
+ # Indirectly lookup env var values via the name of the var.
+ # REF: http://tldp.org/LDP/abs/html/bashver2.html#EX78
+ value=${!env_var}
+ if [[ -n $value ]]; then
+ longopt="--${opensearch_dashboards_var}=${value}"
+ longopts+=("${longopt}")
+ fi
+ done
+
+ # Files created at run-time should be group-writable, for Openshift's sake.
+ umask 0002
+
+ ##Security Dashboards Plugin
+ setupSecurityDashboardsPlugin
+
+ # TO DO:
+ # Confirm with Mihir if this is necessary
+
+ # The virtual file /proc/self/cgroup should list the current cgroup
+ # membership. For each hierarchy, you can follow the cgroup path from
+ # this file to the cgroup filesystem (usually /sys/fs/cgroup/) and
+ # introspect the statistics for the cgroup for the given
+ # hierarchy. Alas, Docker breaks this by mounting the container
+ # statistics at the root while leaving the cgroup paths as the actual
+ # paths. Therefore, OpenSearch-Dashboards provides a mechanism to override
+ # reading the cgroup path from /proc/self/cgroup and instead uses the
+ # cgroup path defined the configuration properties
+ # cpu.cgroup.path.override and cpuacct.cgroup.path.override.
+ # Therefore, we set this value here so that cgroup statistics are
+ # available for the container this process will run in.
+
+ exec "$@" \
+ --cpu.cgroup.path.override=/ \
+ --cpuacct.cgroup.path.override=/ \
+ "${longopts[@]}"
+}
+
+# Prepend "opensearch-dashboards" command if no argument was provided or if the
+# first argument looks like a flag (i.e. starts with a dash).
+if [ $# -eq 0 ] || [ "${1:0:1}" = '-' ]; then
+ set -- opensearch-dashboards "$@"
+fi
+
+if [ "$1" = "opensearch-dashboards" ]; then
+ runOpensearchDashboards "$@"
+else
+ exec "$@"
+fi
diff --git a/oeaplatform/opensearch-dashboards/config/opensearch_dashboards.yml b/oeaplatform/opensearch-dashboards/config/opensearch_dashboards.yml
new file mode 100644
index 0000000000000000000000000000000000000000..069ef7751bb628f8ad8b91b0ab4d581e2c7617eb
--- /dev/null
+++ b/oeaplatform/opensearch-dashboards/config/opensearch_dashboards.yml
@@ -0,0 +1,20 @@
+# host of the back end server
+server.host: 0.0.0.0
+# more details: https://opensearch.org/docs/latest/dashboards/branding/
+# URL of opensearch instance
+opensearch.hosts: ["http://index:9200"]
+opensearch.ssl.verificationMode: none
+opensearch.username: "admin"
+opensearch.password: "admin"
+opensearch.requestHeadersWhitelist: [ authorization,securitytenant ]
+
+# securityDashboards removed so this following settings have to be removed
+# opensearch_security.multitenancy.enabled: true
+# opensearch_security.multitenancy.tenants.preferred: ["Private", "Global"]
+# opensearch_security.readonly_mode.roles: ["kibana_read_only"]
+# Use this setting if you are running opensearch-dashboards without https
+# opensearch_security.cookie.secure: false
+
+# store log output
+logging.dest: /var/log/opensearch-dashboards/dashboards.log
+
diff --git a/oeaplatform/opensearch/Dockerfile b/oeaplatform/opensearch/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..ee9e8172988a12c11c4829e9184b2b40b50495b0
--- /dev/null
+++ b/oeaplatform/opensearch/Dockerfile
@@ -0,0 +1,72 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION=2.18.0
+# Remark DOCKER_REG has to end with / if specified
+
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS os
+ARG DEBIAN_FRONTEND=noninteractive
+USER root
+RUN apt-get update && apt-get -y install lsb-release ca-certificates curl gnupg2 wget pwgen && rm -rf /var/lib/apt/lists/*
+
+FROM os AS stage01
+ARG APP_VERSION
+ENV OPENSEARCH_VERSION=${APP_VERSION}
+ENV DISABLE_INSTALL_DEMO_CONFIG=true
+RUN groupadd -r -g 9000 opensearch && useradd -r -u 9000 -g 9000 opensearch
+
+FROM stage01 AS stage02
+ENV SHARE=/usr/share/
+ENV OPENSEARCH_HOME=${SHARE}opensearch
+ENV OPENSEARCH_SOURCE=https://artifacts.opensearch.org/releases/bundle/opensearch/${OPENSEARCH_VERSION}/opensearch-${OPENSEARCH_VERSION}-linux-x64.tar.gz
+ENV OPENSEARCH_DESTINATION=${OPENSEARCH_HOME}-${OPENSEARCH_VERSION}-linux-x64.tar.gz
+
+## collect
+ADD ${OPENSEARCH_SOURCE} ${OPENSEARCH_DESTINATION}
+
+## install
+RUN tar -zxvf ${OPENSEARCH_DESTINATION} -C ${SHARE} && \
+ mv ${OPENSEARCH_HOME}-${OPENSEARCH_VERSION} ${OPENSEARCH_HOME} && \
+ rm ${OPENSEARCH_DESTINATION} && \
+ mkdir -p ${OPENSEARCH_HOME}/data && \
+ chown -hR opensearch:opensearch ${OPENSEARCH_HOME} && \
+ chmod 755 ${OPENSEARCH_HOME}/plugins/opensearch-security/tools/*.sh
+COPY --chown=opensearch:opensearch --chmod=755 ./config/opensearch-docker-entrypoint.sh ${OPENSEARCH_HOME}/opensearch-docker-entrypoint.sh
+COPY --chown=opensearch:opensearch --chmod=755 ./config/opensearch-onetime-setup.sh ${OPENSEARCH_HOME}/opensearch-onetime-setup.sh
+
+## config
+USER root
+RUN cp ${OPENSEARCH_HOME}/config/opensearch.yml ${OPENSEARCH_HOME}/config/opensearch.yml.dist && \
+ chown -R opensearch:opensearch ${OPENSEARCH_HOME}/config/opensearch.yml.dist
+COPY --chown=opensearch:opensearch ./config/opensearch.yml ${OPENSEARCH_HOME}/config/opensearch.yml
+
+FROM stage01 AS main
+USER opensearch
+ENV SHARE=/usr/share/
+ENV OPENSEARCH_HOME=${SHARE}opensearch
+COPY --from=stage02 ${OPENSEARCH_HOME} ${OPENSEARCH_HOME}
+ARG OS_RELEASE \
+ APP_VERSION \
+ OC_CREATED
+LABEL org.opencontainers.image.title=opensearch \
+ org.opencontainers.image.vendor=UniVie \
+ org.opencontainers.image.authors=pt \
+ org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE} \
+ org.opencontainers.image.created=${OC_CREATED}
+
+WORKDIR ${OPENSEARCH_HOME}
+ENV PATH=/usr/share/opensearch/bin:$PATH
+ENV OPENSEARCH_OPTS=$OPENSEARCH_OPTS
+ENV OPENSEARCH_JAVA_HOME=${OPENSEARCH_HOME}/jdk
+
+## host storage
+VOLUME ${OPENSEARCH_HOME}/logs
+VOLUME ${OPENSEARCH_HOME}/data
+
+# Expose ports for the opensearch service (9200 for HTTP and 9300 for internal transport) and performance analyzer (9600 for the agent and 9650 for the root cause analysis component)
+EXPOSE 9200 9300 9600 9650
+
+# CMD to run
+ENTRYPOINT ["./opensearch-docker-entrypoint.sh"]
+CMD ["opensearch"]
diff --git a/oeaplatform/opensearch/config/opensearch-docker-entrypoint.sh b/oeaplatform/opensearch/config/opensearch-docker-entrypoint.sh
new file mode 100644
index 0000000000000000000000000000000000000000..39409a058d50a7519b019056a2b66a1af1a464ab
--- /dev/null
+++ b/oeaplatform/opensearch/config/opensearch-docker-entrypoint.sh
@@ -0,0 +1,119 @@
+#!/bin/bash
+
+# Copyright OpenSearch Contributors
+# SPDX-License-Identifier: Apache-2.0
+# https://github.com/opensearch-project/opensearch-build/blob/2.11.1/docker/release/config/opensearch/opensearch-docker-entrypoint.sh
+
+# This script specify the entrypoint startup actions for opensearch
+# It will start both opensearch and performance analyzer plugin cli
+# If either process failed, the entire docker container will be removed
+# in favor of a newly started container
+
+# Export OpenSearch Home
+export OPENSEARCH_HOME=/usr/share/opensearch
+export OPENSEARCH_PATH_CONF=$OPENSEARCH_HOME/config
+
+# The virtual file /proc/self/cgroup should list the current cgroup
+# membership. For each hierarchy, you can follow the cgroup path from
+# this file to the cgroup filesystem (usually /sys/fs/cgroup/) and
+# introspect the statistics for the cgroup for the given
+# hierarchy. Alas, Docker breaks this by mounting the container
+# statistics at the root while leaving the cgroup paths as the actual
+# paths. Therefore, OpenSearch provides a mechanism to override
+# reading the cgroup path from /proc/self/cgroup and instead uses the
+# cgroup path defined the JVM system property
+# opensearch.cgroups.hierarchy.override. Therefore, we set this value here so
+# that cgroup statistics are available for the container this process
+# will run in.
+export OPENSEARCH_JAVA_OPTS="-Dopensearch.cgroups.hierarchy.override=/ $OPENSEARCH_JAVA_OPTS"
+
+# Security Plugin
+function setupSecurityPlugin {
+ SECURITY_PLUGIN="opensearch-security"
+
+ if [ -d "$OPENSEARCH_HOME/plugins/$SECURITY_PLUGIN" ]; then
+ if [ "$DISABLE_INSTALL_DEMO_CONFIG" = "true" ]; then
+ echo "Disabling execution of install_demo_configuration.sh for OpenSearch Security Plugin"
+ else
+ echo "Enabling execution of install_demo_configuration.sh for OpenSearch Security Plugin"
+ bash $OPENSEARCH_HOME/plugins/$SECURITY_PLUGIN/tools/install_demo_configuration.sh -y -i -s
+ fi
+
+ if [ "$DISABLE_SECURITY_PLUGIN" = "true" ]; then
+ echo "Disabling OpenSearch Security Plugin"
+ opensearch_opt="-Eplugins.security.disabled=true"
+ opensearch_opts+=("${opensearch_opt}")
+ else
+ echo "Enabling OpenSearch Security Plugin"
+ fi
+ else
+ echo "OpenSearch Security Plugin does not exist, disable by default"
+ fi
+}
+
+# Performance Analyzer Plugin
+function setupPerformanceAnalyzerPlugin {
+ PERFORMANCE_ANALYZER_PLUGIN="opensearch-performance-analyzer"
+ if [ -d "$OPENSEARCH_HOME/plugins/$PERFORMANCE_ANALYZER_PLUGIN" ]; then
+ if [ "$DISABLE_PERFORMANCE_ANALYZER_AGENT_CLI" = "true" ]; then
+ echo "Disabling execution of $OPENSEARCH_HOME/bin/$PERFORMANCE_ANALYZER_PLUGIN/performance-analyzer-agent-cli for OpenSearch Performance Analyzer Plugin"
+ else
+ echo "Enabling execution of OPENSEARCH_HOME/bin/$PERFORMANCE_ANALYZER_PLUGIN/performance-analyzer-agent-cli for OpenSearch Performance Analyzer Plugin"
+ $OPENSEARCH_HOME/bin/opensearch-performance-analyzer/performance-analyzer-agent-cli > $OPENSEARCH_HOME/logs/PerformanceAnalyzer.log 2>&1 & disown
+ fi
+ else
+ echo "OpenSearch Performance Analyzer Plugin does not exist, disable by default"
+ fi
+}
+
+# Start up the opensearch and performance analyzer agent processes.
+# When either of them halts, this script exits, or we receive a SIGTERM or SIGINT signal then we want to kill both these processes.
+function runOpensearch {
+ # Files created by OpenSearch should always be group writable too
+ umask 0002
+
+ if [[ "$(id -u)" == "0" ]]; then
+ echo "OpenSearch cannot run as root. Please start your container as another user."
+ exit 1
+ fi
+
+ # Parse Docker env vars to customize OpenSearch
+ #
+ # e.g. Setting the env var cluster.name=testcluster
+ # will cause OpenSearch to be invoked with -Ecluster.name=testcluster
+ opensearch_opts=()
+ while IFS='=' read -r envvar_key envvar_value
+ do
+ # OpenSearch settings need to have at least two dot separated lowercase
+ # words, e.g. `cluster.name`, except for `processors` which we handle
+ # specially
+ if [[ "$envvar_key" =~ ^[a-z0-9_]+\.[a-z0-9_]+ || "$envvar_key" == "processors" ]]; then
+ if [[ ! -z $envvar_value ]]; then
+ opensearch_opt="-E${envvar_key}=${envvar_value}"
+ opensearch_opts+=("${opensearch_opt}")
+ fi
+ fi
+ done < <(env)
+
+ setupSecurityPlugin
+ setupPerformanceAnalyzerPlugin
+
+ # Start opensearch
+ "$@" "${opensearch_opts[@]}"
+
+}
+
+# Prepend "opensearch" command if no argument was provided or if the first
+# argument looks like a flag (i.e. starts with a dash).
+if [ $# -eq 0 ] || [ "${1:0:1}" = '-' ]; then
+ set -- opensearch "$@"
+fi
+
+if [ "$1" = "opensearch" ]; then
+ # If the first argument is opensearch, then run the setup script.
+ runOpensearch "$@"
+else
+ # Otherwise, just exec the command.
+ exec "$@"
+fi
+
diff --git a/oeaplatform/opensearch/config/opensearch-onetime-setup.sh b/oeaplatform/opensearch/config/opensearch-onetime-setup.sh
new file mode 100644
index 0000000000000000000000000000000000000000..fc3fd53ad6de431bc0313b53a52520627ffe480a
--- /dev/null
+++ b/oeaplatform/opensearch/config/opensearch-onetime-setup.sh
@@ -0,0 +1,48 @@
+#!/bin/bash
+
+# Copyright OpenSearch Contributors
+# SPDX-License-Identifier: Apache-2.0
+#
+# The OpenSearch Contributors require contributions made to
+# this file be licensed under the Apache-2.0 license or a
+# compatible open source license.
+
+# This script performs one-time setup for the OpenSearch tarball distribution.
+# It installs a demo security config and sets up the performance analyzer
+
+export OPENSEARCH_HOME=`dirname $(realpath $0)`
+export OPENSEARCH_PATH_CONF=$OPENSEARCH_HOME/config
+cd $OPENSEARCH_HOME
+
+##Security Plugin
+SECURITY_PLUGIN="opensearch-security"
+if [ -d "$OPENSEARCH_HOME/plugins/$SECURITY_PLUGIN" ]; then
+ if [ "$DISABLE_INSTALL_DEMO_CONFIG" = "true" ]; then
+ echo "Disabling execution of install_demo_configuration.sh for OpenSearch Security Plugin"
+ else
+ echo -e "Enabling execution of install_demo_configuration.sh for OpenSearch Security Plugin \nOpenSearch 2.12.0 onwards, the OpenSearch Security Plugin a change that requires an initial password for 'admin' user. \nPlease define an environment variable 'OPENSEARCH_INITIAL_ADMIN_PASSWORD' with a strong password string. \nIf a password is not provided, the setup will quit."
+ bash $OPENSEARCH_HOME/plugins/$SECURITY_PLUGIN/tools/install_demo_configuration.sh -y -i -s || exit 1
+ fi
+
+ if [ "$DISABLE_SECURITY_PLUGIN" = "true" ]; then
+ echo "Disabling OpenSearch Security Plugin"
+ sed -i '/plugins.security.disabled/d' $OPENSEARCH_PATH_CONF/opensearch.yml
+ echo "plugins.security.disabled: true" >> $OPENSEARCH_PATH_CONF/opensearch.yml
+ else
+ echo "Enabling OpenSearch Security Plugin"
+ sed -i '/plugins.security.disabled/d' $OPENSEARCH_PATH_CONF/opensearch.yml
+ fi
+fi
+
+##Perf Plugin
+PA_PLUGIN="opensearch-performance-analyzer"
+
+if ! grep -q '## OpenDistro Performance Analyzer' $OPENSEARCH_PATH_CONF/jvm.options; then
+ CLK_TCK=`/usr/bin/getconf CLK_TCK`
+ echo >> $OPENSEARCH_PATH_CONF/jvm.options
+ echo '## OpenDistro Performance Analyzer' >> $OPENSEARCH_PATH_CONF/jvm.options
+ echo "-Dclk.tck=$CLK_TCK" >> $OPENSEARCH_PATH_CONF/jvm.options
+ echo "-Djdk.attach.allowAttachSelf=true" >> $OPENSEARCH_PATH_CONF/jvm.options
+ echo "-Djava.security.policy=$OPENSEARCH_PATH_CONF/$PA_PLUGIN/opensearch_security.policy" >> $OPENSEARCH_PATH_CONF/jvm.options
+ echo "--add-opens=jdk.attach/sun.tools.attach=ALL-UNNAMED" >> $OPENSEARCH_PATH_CONF/jvm.options
+fi
diff --git a/oeaplatform/opensearch/config/opensearch.yml b/oeaplatform/opensearch/config/opensearch.yml
new file mode 100644
index 0000000000000000000000000000000000000000..279b52d3bd18079fb12e87db473a314634b767d5
--- /dev/null
+++ b/oeaplatform/opensearch/config/opensearch.yml
@@ -0,0 +1,14 @@
+# oeaplatform config
+# disable auto index creation w/ exceptions
+action.auto_create_index: -*
+
+# network.host: 0.0.0.0
+# discovery.type: single-node
+
+# paths to data, logs
+path.data: /usr/share/opensearch/data
+path.logs: /usr/share/opensearch/logs
+
+# disable securityplugin, if plugin is installed
+plugins.security.disabled: true
+
diff --git a/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.iso639.json b/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.iso639.json
new file mode 100644
index 0000000000000000000000000000000000000000..50a3ca1e5d4af9e18d1d7514dc7f6f64f21e81fe
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.iso639.json
@@ -0,0 +1,1420 @@
+{ "index": { "_index": "vocabs.iso639", "_id": "aar" } }
+{ "name_en": "Afar", "name_fr": "afar", "name_de": "Danakil-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "aa" } }
+{ "name_en": "Afar", "name_fr": "afar", "name_de": "Danakil-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "abk" } }
+{ "name_en": "Abkhazian", "name_fr": "abkhaze", "name_de": "Abchasisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ab" } }
+{ "name_en": "Abkhazian", "name_fr": "abkhaze", "name_de": "Abchasisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ace" } }
+{ "name_en": "Achinese", "name_fr": "aceh", "name_de": "Aceh-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ach" } }
+{ "name_en": "Acoli", "name_fr": "acoli", "name_de": "Acholi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ada" } }
+{ "name_en": "Adangme", "name_fr": "adangme", "name_de": "Adangme-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ady" } }
+{ "name_en": "Adyghe; Adygei", "name_fr": "adyghé", "name_de": "Adygisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "afa" } }
+{ "name_en": "Afro-Asiatic languages", "name_fr": "afro-asiatiques, langues", "name_de": "Hamitosemitische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "afh" } }
+{ "name_en": "Afrihili", "name_fr": "afrihili", "name_de": "Afrihili", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "afr" } }
+{ "name_en": "Afrikaans", "name_fr": "afrikaans", "name_de": "Afrikaans", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "af" } }
+{ "name_en": "Afrikaans", "name_fr": "afrikaans", "name_de": "Afrikaans", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ain" } }
+{ "name_en": "Ainu", "name_fr": "aïnou", "name_de": "Ainu-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "aka" } }
+{ "name_en": "Akan", "name_fr": "akan", "name_de": "Akan-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ak" } }
+{ "name_en": "Akan", "name_fr": "akan", "name_de": "Akan-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "akk" } }
+{ "name_en": "Akkadian", "name_fr": "akkadien", "name_de": "Akkadisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sqi" } }
+{ "name_en": "Albanian", "name_fr": "albanais", "name_de": "Albanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sq" } }
+{ "name_en": "Albanian", "name_fr": "albanais", "name_de": "Albanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ale" } }
+{ "name_en": "Aleut", "name_fr": "aléoute", "name_de": "Aleutisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "alg" } }
+{ "name_en": "Algonquian languages", "name_fr": "algonquines, langues", "name_de": "Algonkin-Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "alt" } }
+{ "name_en": "Southern Altai", "name_fr": "altai du Sud", "name_de": "Altaisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "amh" } }
+{ "name_en": "Amharic", "name_fr": "amharique", "name_de": "Amharisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "am" } }
+{ "name_en": "Amharic", "name_fr": "amharique", "name_de": "Amharisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ang" } }
+{ "name_en": "English, Old (ca.450-1100)", "name_fr": "anglo-saxon (ca.450-1100)", "name_de": "Altenglisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "anp" } }
+{ "name_en": "Angika", "name_fr": "angika", "name_de": "Anga-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "apa" } }
+{ "name_en": "Apache languages", "name_fr": "apaches, langues", "name_de": "Apachen-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ara" } }
+{ "name_en": "Arabic", "name_fr": "arabe", "name_de": "Arabisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ar" } }
+{ "name_en": "Arabic", "name_fr": "arabe", "name_de": "Arabisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "arc" } }
+{ "name_en": "Official Aramaic (700-300 BCE); Imperial Aramaic (700-300 BCE)", "name_fr": "araméen d'empire (700-300 BCE)", "name_de": "Aramäisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "arg" } }
+{ "name_en": "Aragonese", "name_fr": "aragonais", "name_de": "Aragonesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "an" } }
+{ "name_en": "Aragonese", "name_fr": "aragonais", "name_de": "Aragonesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hye" } }
+{ "name_en": "Armenian", "name_fr": "arménien", "name_de": "Armenisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hy" } }
+{ "name_en": "Armenian", "name_fr": "arménien", "name_de": "Armenisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "arn" } }
+{ "name_en": "Mapudungun; Mapuche", "name_fr": "mapudungun; mapuche; mapuce", "name_de": "Arauka-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "arp" } }
+{ "name_en": "Arapaho", "name_fr": "arapaho", "name_de": "Arapaho-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "art" } }
+{ "name_en": "Artificial languages", "name_fr": "artificielles, langues", "name_de": "Kunstsprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "arw" } }
+{ "name_en": "Arawak", "name_fr": "arawak", "name_de": "Arawak-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "asm" } }
+{ "name_en": "Assamese", "name_fr": "assamais", "name_de": "Assamesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "as" } }
+{ "name_en": "Assamese", "name_fr": "assamais", "name_de": "Assamesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ast" } }
+{ "name_en": "Asturian; Bable; Leonese; Asturleonese", "name_fr": "asturien; bable; léonais; asturoléonais", "name_de": "Asturisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ath" } }
+{ "name_en": "Athapascan languages", "name_fr": "athapascanes, langues", "name_de": "Athapaskische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "aus" } }
+{ "name_en": "Australian languages", "name_fr": "australiennes, langues", "name_de": "Australische Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ava" } }
+{ "name_en": "Avaric", "name_fr": "avar", "name_de": "Awarisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "av" } }
+{ "name_en": "Avaric", "name_fr": "avar", "name_de": "Awarisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ave" } }
+{ "name_en": "Avestan", "name_fr": "avestique", "name_de": "Avestisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ae" } }
+{ "name_en": "Avestan", "name_fr": "avestique", "name_de": "Avestisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "awa" } }
+{ "name_en": "Awadhi", "name_fr": "awadhi", "name_de": "Awadhi", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "aym" } }
+{ "name_en": "Aymara", "name_fr": "aymara", "name_de": "Aymará-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ay" } }
+{ "name_en": "Aymara", "name_fr": "aymara", "name_de": "Aymará-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "aze" } }
+{ "name_en": "Azerbaijani", "name_fr": "azéri", "name_de": "Aserbeidschanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "az" } }
+{ "name_en": "Azerbaijani", "name_fr": "azéri", "name_de": "Aserbeidschanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bad" } }
+{ "name_en": "Banda languages", "name_fr": "banda, langues", "name_de": "Banda-Sprachen (Ubangi-Sprachen)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bai" } }
+{ "name_en": "Bamileke languages", "name_fr": "bamiléké, langues", "name_de": "Bamileke-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bak" } }
+{ "name_en": "Bashkir", "name_fr": "bachkir", "name_de": "Baschkirisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ba" } }
+{ "name_en": "Bashkir", "name_fr": "bachkir", "name_de": "Baschkirisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bal" } }
+{ "name_en": "Baluchi", "name_fr": "baloutchi", "name_de": "Belutschisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bam" } }
+{ "name_en": "Bambara", "name_fr": "bambara", "name_de": "Bambara-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bm" } }
+{ "name_en": "Bambara", "name_fr": "bambara", "name_de": "Bambara-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ban" } }
+{ "name_en": "Balinese", "name_fr": "balinais", "name_de": "Balinesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "eus" } }
+{ "name_en": "Basque", "name_fr": "basque", "name_de": "Baskisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "eu" } }
+{ "name_en": "Basque", "name_fr": "basque", "name_de": "Baskisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bas" } }
+{ "name_en": "Basa", "name_fr": "basa", "name_de": "Basaa-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bat" } }
+{ "name_en": "Baltic languages", "name_fr": "baltes, langues", "name_de": "Baltische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bej" } }
+{ "name_en": "Beja; Bedawiyet", "name_fr": "bedja", "name_de": "Bedauye", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bel" } }
+{ "name_en": "Belarusian", "name_fr": "biélorusse", "name_de": "Weißrussisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "be" } }
+{ "name_en": "Belarusian", "name_fr": "biélorusse", "name_de": "Weißrussisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bem" } }
+{ "name_en": "Bemba", "name_fr": "bemba", "name_de": "Bemba-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ben" } }
+{ "name_en": "Bengali", "name_fr": "bengali", "name_de": "Bengali", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bn" } }
+{ "name_en": "Bengali", "name_fr": "bengali", "name_de": "Bengali", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ber" } }
+{ "name_en": "Berber languages", "name_fr": "berbères, langues", "name_de": "Berbersprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bho" } }
+{ "name_en": "Bhojpuri", "name_fr": "bhojpuri", "name_de": "Bhojpuri", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bih" } }
+{ "name_en": "Bihari languages", "name_fr": "langues biharis", "name_de": "Bihari (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bh" } }
+{ "name_en": "Bihari languages", "name_fr": "langues biharis", "name_de": "Bihari (Andere)", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bik" } }
+{ "name_en": "Bikol", "name_fr": "bikol", "name_de": "Bikol-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bin" } }
+{ "name_en": "Bini; Edo", "name_fr": "bini; edo", "name_de": "Edo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bis" } }
+{ "name_en": "Bislama", "name_fr": "bichlamar", "name_de": "Beach-la-mar", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bi" } }
+{ "name_en": "Bislama", "name_fr": "bichlamar", "name_de": "Beach-la-mar", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bla" } }
+{ "name_en": "Siksika", "name_fr": "blackfoot", "name_de": "Blackfoot-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bnt" } }
+{ "name_en": "Bantu languages", "name_fr": "bantou, langues", "name_de": "Bantusprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bod" } }
+{ "name_en": "Tibetan", "name_fr": "tibétain", "name_de": "Tibetisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bo" } }
+{ "name_en": "Tibetan", "name_fr": "tibétain", "name_de": "Tibetisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bos" } }
+{ "name_en": "Bosnian", "name_fr": "bosniaque", "name_de": "Bosnisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bs" } }
+{ "name_en": "Bosnian", "name_fr": "bosniaque", "name_de": "Bosnisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bra" } }
+{ "name_en": "Braj", "name_fr": "braj", "name_de": "Braj-Bhakha", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bre" } }
+{ "name_en": "Breton", "name_fr": "breton", "name_de": "Bretonisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "br" } }
+{ "name_en": "Breton", "name_fr": "breton", "name_de": "Bretonisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "btk " } }
+{ "name_en": "Batak languages", "name_fr": "batak, langues", "name_de": "Batak-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bua" } }
+{ "name_en": "Buriat", "name_fr": "bouriate", "name_de": "Burjatisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bug" } }
+{ "name_en": "Buginese", "name_fr": "bugi", "name_de": "Bugi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bul" } }
+{ "name_en": "Bulgarian", "name_fr": "bulgare", "name_de": "Bulgarisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bg" } }
+{ "name_en": "Bulgarian", "name_fr": "bulgare", "name_de": "Bulgarisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mya" } }
+{ "name_en": "Burmese", "name_fr": "birman", "name_de": "Birmanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "my" } }
+{ "name_en": "Burmese", "name_fr": "birman", "name_de": "Birmanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "byn" } }
+{ "name_en": "Blin; Bilin", "name_fr": "blin; bilen", "name_de": "Bilin-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cad" } }
+{ "name_en": "Caddo", "name_fr": "caddo", "name_de": "Caddo-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cai" } }
+{ "name_en": "Central American Indian languages", "name_fr": "amérindiennes de l'Amérique centrale, langues", "name_de": "Indianersprachen, Zentralamerika (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "car" } }
+{ "name_en": "Galibi Carib", "name_fr": "karib; galibi; carib", "name_de": "Karibische Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cat" } }
+{ "name_en": "Catalan; Valencian", "name_fr": "catalan; valencien", "name_de": "Katalanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ca" } }
+{ "name_en": "Catalan; Valencian", "name_fr": "catalan; valencien", "name_de": "Katalanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cau" } }
+{ "name_en": "Caucasian languages", "name_fr": "caucasiennes, langues", "name_de": "Kaukasische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ceb" } }
+{ "name_en": "Cebuano", "name_fr": "cebuano", "name_de": "Cebuano", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cel" } }
+{ "name_en": "Celtic languages", "name_fr": "celtiques, langues; celtes, langues", "name_de": "Keltische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ces" } }
+{ "name_en": "Czech", "name_fr": "tchèque", "name_de": "Tschechisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cs" } }
+{ "name_en": "Czech", "name_fr": "tchèque", "name_de": "Tschechisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cha" } }
+{ "name_en": "Chamorro", "name_fr": "chamorro", "name_de": "Chamorro-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ch" } }
+{ "name_en": "Chamorro", "name_fr": "chamorro", "name_de": "Chamorro-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chb" } }
+{ "name_en": "Chibcha", "name_fr": "chibcha", "name_de": "Chibcha-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "che" } }
+{ "name_en": "Chechen", "name_fr": "tchétchène", "name_de": "Tschetschenisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ce" } }
+{ "name_en": "Chechen", "name_fr": "tchétchène", "name_de": "Tschetschenisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chg" } }
+{ "name_en": "Chagatai", "name_fr": "djaghataï", "name_de": "Tschagataisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zho" } }
+{ "name_en": "Chinese", "name_fr": "chinois", "name_de": "Chinesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zh" } }
+{ "name_en": "Chinese", "name_fr": "chinois", "name_de": "Chinesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chk" } }
+{ "name_en": "Chuukese", "name_fr": "chuuk", "name_de": "Trukesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chm" } }
+{ "name_en": "Mari", "name_fr": "mari", "name_de": "Tscheremissisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chn" } }
+{ "name_en": "Chinook jargon", "name_fr": "chinook, jargon", "name_de": "Chinook-Jargon", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cho" } }
+{ "name_en": "Choctaw", "name_fr": "choctaw", "name_de": "Choctaw-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chp" } }
+{ "name_en": "Chipewyan; Dene Suline", "name_fr": "chipewyan", "name_de": "Chipewyan-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chr" } }
+{ "name_en": "Cherokee", "name_fr": "cherokee", "name_de": "Cherokee-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chu" } }
+{ "name_en": "Church Slavic; Old Slavonic; Church Slavonic; Old Bulgarian; Old Church Slavonic", "name_fr": "slavon d'église; vieux slave; slavon liturgique; vieux bulgare", "name_de": "Kirchenslawisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cu" } }
+{ "name_en": "Church Slavic; Old Slavonic; Church Slavonic; Old Bulgarian; Old Church Slavonic", "name_fr": "slavon d'église; vieux slave; slavon liturgique; vieux bulgare", "name_de": "Kirchenslawisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chv" } }
+{ "name_en": "Chuvash", "name_fr": "tchouvache", "name_de": "Tschuwaschisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cv" } }
+{ "name_en": "Chuvash", "name_fr": "tchouvache", "name_de": "Tschuwaschisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "chy" } }
+{ "name_en": "Cheyenne", "name_fr": "cheyenne", "name_de": "Cheyenne-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cmc" } }
+{ "name_en": "Chamic languages", "name_fr": "chames, langues", "name_de": "Cham-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cnr" } }
+{ "name_en": "Montenegrin", "name_fr": "monténégrin", "name_de": "Montenegrinisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cop" } }
+{ "name_en": "Coptic", "name_fr": "copte", "name_de": "Koptisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cor" } }
+{ "name_en": "Cornish", "name_fr": "cornique", "name_de": "Kornisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kw" } }
+{ "name_en": "Cornish", "name_fr": "cornique", "name_de": "Kornisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cos" } }
+{ "name_en": "Corsican", "name_fr": "corse", "name_de": "Korsisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "co" } }
+{ "name_en": "Corsican", "name_fr": "corse", "name_de": "Korsisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cpe" } }
+{ "name_en": "Creoles and pidgins, English based", "name_fr": "créoles et pidgins basés sur l'anglais", "name_de": "Kreolisch-Englisch (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cpf" } }
+{ "name_en": "Creoles and pidgins, French-based", "name_fr": "créoles et pidgins basés sur le français", "name_de": "Kreolisch-Französisch (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cpp" } }
+{ "name_en": "Creoles and pidgins, Portuguese-based", "name_fr": "créoles et pidgins basés sur le portugais", "name_de": "Kreolisch-Portugiesisch (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cre" } }
+{ "name_en": "Cree", "name_fr": "cree", "name_de": "Cree-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cr" } }
+{ "name_en": "Cree", "name_fr": "cree", "name_de": "Cree-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "crh" } }
+{ "name_en": "Crimean Tatar; Crimean Turkish", "name_fr": "tatar de Crimé", "name_de": "Krimtatarisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "crp" } }
+{ "name_en": "Creoles and pidgins", "name_fr": "créoles et pidgins", "name_de": "Kreolische Sprachen; Pidginsprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "csb" } }
+{ "name_en": "Kashubian", "name_fr": "kachoube", "name_de": "Kaschubisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cus" } }
+{ "name_en": "Cushitic languages", "name_fr": "couchitiques, langues", "name_de": "Kuschitische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cym" } }
+{ "name_en": "Welsh", "name_fr": "gallois", "name_de": "Kymrisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cy" } }
+{ "name_en": "Welsh", "name_fr": "gallois", "name_de": "Kymrisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ces" } }
+{ "name_en": "Czech", "name_fr": "tchèque", "name_de": "Tschechisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cs" } }
+{ "name_en": "Czech", "name_fr": "tchèque", "name_de": "Tschechisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dak" } }
+{ "name_en": "Dakota", "name_fr": "dakota", "name_de": "Dakota-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dan" } }
+{ "name_en": "Danish", "name_fr": "danois", "name_de": "Dänisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "da" } }
+{ "name_en": "Danish", "name_fr": "danois", "name_de": "Dänisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dar" } }
+{ "name_en": "Dargwa", "name_fr": "dargwa", "name_de": "Darginisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "day" } }
+{ "name_en": "Land Dayak languages", "name_fr": "dayak, langues", "name_de": "Dajakisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "del" } }
+{ "name_en": "Delaware", "name_fr": "delaware", "name_de": "Delaware-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "den" } }
+{ "name_en": "Slave (Athapascan)", "name_fr": "esclave (athapascan)", "name_de": "Slave-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "deu" } }
+{ "name_en": "German", "name_fr": "allemand", "name_de": "Deutsch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "de" } }
+{ "name_en": "German", "name_fr": "allemand", "name_de": "Deutsch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dgr" } }
+{ "name_en": "Dogrib", "name_fr": "dogrib", "name_de": "Dogrib-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "din" } }
+{ "name_en": "Dinka", "name_fr": "dinka", "name_de": "Dinka-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "div" } }
+{ "name_en": "Divehi; Dhivehi; Maldivian", "name_fr": "maldivien", "name_de": "Maledivisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dv" } }
+{ "name_en": "Divehi; Dhivehi; Maldivian", "name_fr": "maldivien", "name_de": "Maledivisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "doi" } }
+{ "name_en": "Dogri", "name_fr": "dogri", "name_de": "Dogri", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dra" } }
+{ "name_en": "Dravidian languages", "name_fr": "dravidiennes, langues", "name_de": "Drawidische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dsb" } }
+{ "name_en": "Lower Sorbian", "name_fr": "bas-sorabe", "name_de": "Niedersorbisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dua" } }
+{ "name_en": "Duala", "name_fr": "douala", "name_de": "Duala-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dum" } }
+{ "name_en": "Dutch, Middle (ca.1050-1350)", "name_fr": "néerlandais moyen (ca. 1050-1350)", "name_de": "Mittelniederländisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nld" } }
+{ "name_en": "Dutch; Flemish", "name_fr": "néerlandais; flamand", "name_de": "Niederländisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nl" } }
+{ "name_en": "Dutch; Flemish", "name_fr": "néerlandais; flamand", "name_de": "Niederländisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dyu" } }
+{ "name_en": "Dyula", "name_fr": "dioula", "name_de": "Dyula-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dzo" } }
+{ "name_en": "Dzongkha", "name_fr": "dzongkha", "name_de": "Dzongkha", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "dz" } }
+{ "name_en": "Dzongkha", "name_fr": "dzongkha", "name_de": "Dzongkha", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "efi" } }
+{ "name_en": "Efik", "name_fr": "efik", "name_de": "Efik", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "egy" } }
+{ "name_en": "Egyptian (Ancient)", "name_fr": "égyptien", "name_de": "Ägyptisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "eka" } }
+{ "name_en": "Ekajuk", "name_fr": "ekajuk", "name_de": "Ekajuk", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ell" } }
+{ "name_en": "Greek, Modern (1453-)", "name_fr": "grec moderne (après 1453)", "name_de": "Neugriechisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "el" } }
+{ "name_en": "Greek, Modern (1453-)", "name_fr": "grec moderne (après 1453)", "name_de": "Neugriechisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "elx" } }
+{ "name_en": "Elamite", "name_fr": "élamite", "name_de": "Elamisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "eng" } }
+{ "name_en": "English", "name_fr": "anglais", "name_de": "Englisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "en" } }
+{ "name_en": "English", "name_fr": "anglais", "name_de": "Englisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "enm" } }
+{ "name_en": "English, Middle (1100-1500)", "name_fr": "anglais moyen (1100-1500)", "name_de": "Mittelenglisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "epo" } }
+{ "name_en": "Esperanto", "name_fr": "espéranto", "name_de": "Esperanto", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "eo" } }
+{ "name_en": "Esperanto", "name_fr": "espéranto", "name_de": "Esperanto", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "est" } }
+{ "name_en": "Estonian", "name_fr": "estonien", "name_de": "Estnisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "et" } }
+{ "name_en": "Estonian", "name_fr": "estonien", "name_de": "Estnisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "eus" } }
+{ "name_en": "Basque", "name_fr": "basque", "name_de": "Baskisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "eu" } }
+{ "name_en": "Basque", "name_fr": "basque", "name_de": "Baskisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ewe" } }
+{ "name_en": "Ewe", "name_fr": "éwé", "name_de": "Ewe-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ee" } }
+{ "name_en": "Ewe", "name_fr": "éwé", "name_de": "Ewe-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ewo" } }
+{ "name_en": "Ewondo", "name_fr": "éwondo", "name_de": "Ewondo", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fan" } }
+{ "name_en": "Fang", "name_fr": "fang", "name_de": "Pangwe-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fao" } }
+{ "name_en": "Faroese", "name_fr": "féroïen", "name_de": "Färöisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fo" } }
+{ "name_en": "Faroese", "name_fr": "féroïen", "name_de": "Färöisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fas" } }
+{ "name_en": "Persian", "name_fr": "persan", "name_de": "Persisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fa" } }
+{ "name_en": "Persian", "name_fr": "persan", "name_de": "Persisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fat" } }
+{ "name_en": "Fanti", "name_fr": "fanti", "name_de": "Fante-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fij" } }
+{ "name_en": "Fijian", "name_fr": "fidjien", "name_de": "Fidschi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fj" } }
+{ "name_en": "Fijian", "name_fr": "fidjien", "name_de": "Fidschi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fil" } }
+{ "name_en": "Filipino; Pilipino", "name_fr": "filipino; pilipino", "name_de": "Pilipino", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fin" } }
+{ "name_en": "Finnish", "name_fr": "finnois", "name_de": "Finnisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fi" } }
+{ "name_en": "Finnish", "name_fr": "finnois", "name_de": "Finnisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fiu" } }
+{ "name_en": "Finno-Ugrian languages", "name_fr": "finno-ougriennes, langues", "name_de": "Finnougrische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fon" } }
+{ "name_en": "Fon", "name_fr": "fon", "name_de": "Fon-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fra" } }
+{ "name_en": "French", "name_fr": "français", "name_de": "Französisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fr" } }
+{ "name_en": "French", "name_fr": "français", "name_de": "Französisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fra" } }
+{ "name_en": "French", "name_fr": "français", "name_de": "Französisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fr" } }
+{ "name_en": "French", "name_fr": "français", "name_de": "Französisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "frm" } }
+{ "name_en": "French, Middle (ca.1400-1600)", "name_fr": "français moyen (1400-1600)", "name_de": "Mittelfranzösisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fro" } }
+{ "name_en": "French, Old (842-ca.1400)", "name_fr": "français ancien (842-ca.1400)", "name_de": "Altfranzösisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "frr" } }
+{ "name_en": "Northern Frisian", "name_fr": "frison septentrional", "name_de": "Nordfriesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "frs" } }
+{ "name_en": "Eastern Frisian", "name_fr": "frison oriental", "name_de": "Ostfriesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fry" } }
+{ "name_en": "Western Frisian", "name_fr": "frison occidental", "name_de": "Friesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fy" } }
+{ "name_en": "Western Frisian", "name_fr": "frison occidental", "name_de": "Friesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ful" } }
+{ "name_en": "Fulah", "name_fr": "peul", "name_de": "Ful", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ff" } }
+{ "name_en": "Fulah", "name_fr": "peul", "name_de": "Ful", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fur" } }
+{ "name_en": "Friulian", "name_fr": "frioulan", "name_de": "Friulisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gaa" } }
+{ "name_en": "Ga", "name_fr": "ga", "name_de": "Ga-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gay" } }
+{ "name_en": "Gayo", "name_fr": "gayo", "name_de": "Gayo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gba" } }
+{ "name_en": "Gbaya", "name_fr": "gbaya", "name_de": "Gbaya-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gem" } }
+{ "name_en": "Germanic languages", "name_fr": "germaniques, langues", "name_de": "Germanische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kat" } }
+{ "name_en": "Georgian", "name_fr": "géorgien", "name_de": "Georgisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ka" } }
+{ "name_en": "Georgian", "name_fr": "géorgien", "name_de": "Georgisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "deu" } }
+{ "name_en": "German", "name_fr": "allemand", "name_de": "Deutsch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "de" } }
+{ "name_en": "German", "name_fr": "allemand", "name_de": "Deutsch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gez" } }
+{ "name_en": "Geez", "name_fr": "guèze", "name_de": "Altäthiopisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gil" } }
+{ "name_en": "Gilbertese", "name_fr": "kiribati", "name_de": "Gilbertesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gla" } }
+{ "name_en": "Gaelic; Scottish Gaelic", "name_fr": "gaélique; gaélique écossais", "name_de": "Gälisch-Schottisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gd" } }
+{ "name_en": "Gaelic; Scottish Gaelic", "name_fr": "gaélique; gaélique écossais", "name_de": "Gälisch-Schottisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gle" } }
+{ "name_en": "Irish", "name_fr": "irlandais", "name_de": "Irisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ga" } }
+{ "name_en": "Irish", "name_fr": "irlandais", "name_de": "Irisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "glg" } }
+{ "name_en": "Galician", "name_fr": "galicien", "name_de": "Galicisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gl" } }
+{ "name_en": "Galician", "name_fr": "galicien", "name_de": "Galicisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "glv" } }
+{ "name_en": "Manx", "name_fr": "manx; mannois", "name_de": "Manx", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gv" } }
+{ "name_en": "Manx", "name_fr": "manx; mannois", "name_de": "Manx", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gmh" } }
+{ "name_en": "German, Middle High (ca.1050-1500)", "name_fr": "allemand, moyen haut (ca. 1050-1500)", "name_de": "Mittelhochdeutsch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "goh" } }
+{ "name_en": "German, Old High (ca.750-1050)", "name_fr": "allemand, vieux haut (ca. 750-1050)", "name_de": "Althochdeutsch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gon" } }
+{ "name_en": "Gondi", "name_fr": "gond", "name_de": "Gondi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gor" } }
+{ "name_en": "Gorontalo", "name_fr": "gorontalo", "name_de": "Gorontalesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "got" } }
+{ "name_en": "Gothic", "name_fr": "gothique", "name_de": "Gotisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "grb" } }
+{ "name_en": "Grebo", "name_fr": "grebo", "name_de": "Grebo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "grc" } }
+{ "name_en": "Greek, Ancient (to 1453)", "name_fr": "grec ancien (jusqu'à 1453)", "name_de": "Griechisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ell" } }
+{ "name_en": "Greek, Modern (1453-)", "name_fr": "grec moderne (après 1453)", "name_de": "Neugriechisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "el" } }
+{ "name_en": "Greek, Modern (1453-)", "name_fr": "grec moderne (après 1453)", "name_de": "Neugriechisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "grn" } }
+{ "name_en": "Guarani", "name_fr": "guarani", "name_de": "Guaraní-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gn" } }
+{ "name_en": "Guarani", "name_fr": "guarani", "name_de": "Guaraní-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gsw" } }
+{ "name_en": "Swiss German; Alemannic; Alsatian", "name_fr": "suisse alémanique; alémanique; alsacien", "name_de": "Schweizerdeutsch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "guj" } }
+{ "name_en": "Gujarati", "name_fr": "goudjrati", "name_de": "Gujarati-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gu" } }
+{ "name_en": "Gujarati", "name_fr": "goudjrati", "name_de": "Gujarati-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "gwi" } }
+{ "name_en": "Gwich'in", "name_fr": "gwich'in", "name_de": "Kutchin-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hai" } }
+{ "name_en": "Haida", "name_fr": "haida", "name_de": "Haida-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hat" } }
+{ "name_en": "Haitian; Haitian Creole", "name_fr": "haïtien; créole haïtien", "name_de": "Haïtien (Haiti-Kreolisch)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ht" } }
+{ "name_en": "Haitian; Haitian Creole", "name_fr": "haïtien; créole haïtien", "name_de": "Haïtien (Haiti-Kreolisch)", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hau" } }
+{ "name_en": "Hausa", "name_fr": "haoussa", "name_de": "Haussa-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ha" } }
+{ "name_en": "Hausa", "name_fr": "haoussa", "name_de": "Haussa-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "haw" } }
+{ "name_en": "Hawaiian", "name_fr": "hawaïen", "name_de": "Hawaiisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "heb" } }
+{ "name_en": "Hebrew", "name_fr": "hébreu", "name_de": "Hebräisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "he" } }
+{ "name_en": "Hebrew", "name_fr": "hébreu", "name_de": "Hebräisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "her" } }
+{ "name_en": "Herero", "name_fr": "herero", "name_de": "Herero-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hz" } }
+{ "name_en": "Herero", "name_fr": "herero", "name_de": "Herero-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hil" } }
+{ "name_en": "Hiligaynon", "name_fr": "hiligaynon", "name_de": "Hiligaynon-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "him" } }
+{ "name_en": "Himachali languages; Western Pahari languages", "name_fr": "langues himachalis; langues paharis occidentales", "name_de": "Himachali", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hin" } }
+{ "name_en": "Hindi", "name_fr": "hindi", "name_de": "Hindi", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hi" } }
+{ "name_en": "Hindi", "name_fr": "hindi", "name_de": "Hindi", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hit " } }
+{ "name_en": "Hittite", "name_fr": "hittite", "name_de": "Hethitisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hmn" } }
+{ "name_en": "Hmong; Mong", "name_fr": "hmong", "name_de": "Miao-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hmo" } }
+{ "name_en": "Hiri Motu", "name_fr": "hiri motu", "name_de": "Hiri-Motu", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ho" } }
+{ "name_en": "Hiri Motu", "name_fr": "hiri motu", "name_de": "Hiri-Motu", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hrv" } }
+{ "name_en": "Croatian", "name_fr": "croate", "name_de": "Kroatisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hr" } }
+{ "name_en": "Croatian", "name_fr": "croate", "name_de": "Kroatisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hsb" } }
+{ "name_en": "Upper Sorbian", "name_fr": "haut-sorabe", "name_de": "Obersorbisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hun" } }
+{ "name_en": "Hungarian", "name_fr": "hongrois", "name_de": "Ungarisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hu" } }
+{ "name_en": "Hungarian", "name_fr": "hongrois", "name_de": "Ungarisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hup" } }
+{ "name_en": "Hupa", "name_fr": "hupa", "name_de": "Hupa-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hye" } }
+{ "name_en": "Armenian", "name_fr": "arménien", "name_de": "Armenisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "hy" } }
+{ "name_en": "Armenian", "name_fr": "arménien", "name_de": "Armenisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "iba" } }
+{ "name_en": "Iban", "name_fr": "iban", "name_de": "Iban-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ibo" } }
+{ "name_en": "Igbo", "name_fr": "igbo", "name_de": "Ibo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ig" } }
+{ "name_en": "Igbo", "name_fr": "igbo", "name_de": "Ibo-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "isl" } }
+{ "name_en": "Icelandic", "name_fr": "islandais", "name_de": "Isländisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "is" } }
+{ "name_en": "Icelandic", "name_fr": "islandais", "name_de": "Isländisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ido" } }
+{ "name_en": "Ido", "name_fr": "ido", "name_de": "Ido", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "io" } }
+{ "name_en": "Ido", "name_fr": "ido", "name_de": "Ido", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "iii" } }
+{ "name_en": "Sichuan Yi; Nuosu", "name_fr": "yi de Sichuan", "name_de": "Lalo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ii" } }
+{ "name_en": "Sichuan Yi; Nuosu", "name_fr": "yi de Sichuan", "name_de": "Lalo-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ijo" } }
+{ "name_en": "Ijo languages", "name_fr": "ijo, langues", "name_de": "Ijo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "iku" } }
+{ "name_en": "Inuktitut", "name_fr": "inuktitut", "name_de": "Inuktitut", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "iu" } }
+{ "name_en": "Inuktitut", "name_fr": "inuktitut", "name_de": "Inuktitut", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ile" } }
+{ "name_en": "Interlingue; Occidental", "name_fr": "interlingue", "name_de": "Interlingue", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ie" } }
+{ "name_en": "Interlingue; Occidental", "name_fr": "interlingue", "name_de": "Interlingue", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ilo" } }
+{ "name_en": "Iloko", "name_fr": "ilocano", "name_de": "Ilokano-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ina" } }
+{ "name_en": "Interlingua (International Auxiliary Language Association)", "name_fr": "interlingua (langue auxiliaire internationale)", "name_de": "Interlingua", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ia" } }
+{ "name_en": "Interlingua (International Auxiliary Language Association)", "name_fr": "interlingua (langue auxiliaire internationale)", "name_de": "Interlingua", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "inc" } }
+{ "name_en": "Indic languages", "name_fr": "indo-aryennes, langues", "name_de": "Indoarische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ind" } }
+{ "name_en": "Indonesian", "name_fr": "indonésien", "name_de": "Bahasa Indonesia", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "id" } }
+{ "name_en": "Indonesian", "name_fr": "indonésien", "name_de": "Bahasa Indonesia", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ine" } }
+{ "name_en": "Indo-European languages", "name_fr": "indo-européennes, langues", "name_de": "Indogermanische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "inh" } }
+{ "name_en": "Ingush", "name_fr": "ingouche", "name_de": "Inguschisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ipk" } }
+{ "name_en": "Inupiaq", "name_fr": "inupiaq", "name_de": "Inupik", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ik" } }
+{ "name_en": "Inupiaq", "name_fr": "inupiaq", "name_de": "Inupik", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ira" } }
+{ "name_en": "Iranian languages", "name_fr": "iraniennes, langues", "name_de": "Iranische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "iro" } }
+{ "name_en": "Iroquoian languages", "name_fr": "iroquoises, langues", "name_de": "Irokesische Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "isl" } }
+{ "name_en": "Icelandic", "name_fr": "islandais", "name_de": "Isländisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "is" } }
+{ "name_en": "Icelandic", "name_fr": "islandais", "name_de": "Isländisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ita" } }
+{ "name_en": "Italian", "name_fr": "italien", "name_de": "Italienisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "it" } }
+{ "name_en": "Italian", "name_fr": "italien", "name_de": "Italienisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "jav" } }
+{ "name_en": "Javanese", "name_fr": "javanais", "name_de": "Javanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "jv" } }
+{ "name_en": "Javanese", "name_fr": "javanais", "name_de": "Javanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "jbo" } }
+{ "name_en": "Lojban", "name_fr": "lojban", "name_de": "Lojban", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "jpn" } }
+{ "name_en": "Japanese", "name_fr": "japonais", "name_de": "Japanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ja" } }
+{ "name_en": "Japanese", "name_fr": "japonais", "name_de": "Japanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "jpr" } }
+{ "name_en": "Judeo-Persian", "name_fr": "judéo-persan", "name_de": "Jüdisch-Persisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "jrb" } }
+{ "name_en": "Judeo-Arabic", "name_fr": "judéo-arabe", "name_de": "Jüdisch-Arabisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kaa" } }
+{ "name_en": "Kara-Kalpak", "name_fr": "karakalpak", "name_de": "Karakalpakisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kab" } }
+{ "name_en": "Kabyle", "name_fr": "kabyle", "name_de": "Kabylisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kac" } }
+{ "name_en": "Kachin; Jingpho", "name_fr": "kachin; jingpho", "name_de": "Kachin-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kal" } }
+{ "name_en": "Kalaallisut; Greenlandic", "name_fr": "groenlandais", "name_de": "Grönländisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kl" } }
+{ "name_en": "Kalaallisut; Greenlandic", "name_fr": "groenlandais", "name_de": "Grönländisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kam" } }
+{ "name_en": "Kamba", "name_fr": "kamba", "name_de": "Kamba-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kan" } }
+{ "name_en": "Kannada", "name_fr": "kannada", "name_de": "Kannada", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kn" } }
+{ "name_en": "Kannada", "name_fr": "kannada", "name_de": "Kannada", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kar" } }
+{ "name_en": "Karen languages", "name_fr": "karen, langues", "name_de": "Karenisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kas" } }
+{ "name_en": "Kashmiri", "name_fr": "kashmiri", "name_de": "Kaschmiri", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ks" } }
+{ "name_en": "Kashmiri", "name_fr": "kashmiri", "name_de": "Kaschmiri", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kat" } }
+{ "name_en": "Georgian", "name_fr": "géorgien", "name_de": "Georgisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ka" } }
+{ "name_en": "Georgian", "name_fr": "géorgien", "name_de": "Georgisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kau" } }
+{ "name_en": "Kanuri", "name_fr": "kanouri", "name_de": "Kanuri-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kr" } }
+{ "name_en": "Kanuri", "name_fr": "kanouri", "name_de": "Kanuri-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kaw" } }
+{ "name_en": "Kawi", "name_fr": "kawi", "name_de": "Kawi", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kaz" } }
+{ "name_en": "Kazakh", "name_fr": "kazakh", "name_de": "Kasachisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kk" } }
+{ "name_en": "Kazakh", "name_fr": "kazakh", "name_de": "Kasachisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kbd" } }
+{ "name_en": "Kabardian", "name_fr": "kabardien", "name_de": "Kabardinisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kha" } }
+{ "name_en": "Khasi", "name_fr": "khasi", "name_de": "Khasi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "khi" } }
+{ "name_en": "Khoisan languages", "name_fr": "khoïsan, langues", "name_de": "Khoisan-Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "khm" } }
+{ "name_en": "Central Khmer", "name_fr": "khmer central", "name_de": "Kambodschanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "km" } }
+{ "name_en": "Central Khmer", "name_fr": "khmer central", "name_de": "Kambodschanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kho" } }
+{ "name_en": "Khotanese; Sakan", "name_fr": "khotanais; sakan", "name_de": "Sakisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kik" } }
+{ "name_en": "Kikuyu; Gikuyu", "name_fr": "kikuyu", "name_de": "Kikuyu-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ki" } }
+{ "name_en": "Kikuyu; Gikuyu", "name_fr": "kikuyu", "name_de": "Kikuyu-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kin" } }
+{ "name_en": "Kinyarwanda", "name_fr": "rwanda", "name_de": "Rwanda-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rw" } }
+{ "name_en": "Kinyarwanda", "name_fr": "rwanda", "name_de": "Rwanda-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kir" } }
+{ "name_en": "Kirghiz; Kyrgyz", "name_fr": "kirghiz", "name_de": "Kirgisisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ky" } }
+{ "name_en": "Kirghiz; Kyrgyz", "name_fr": "kirghiz", "name_de": "Kirgisisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kmb" } }
+{ "name_en": "Kimbundu", "name_fr": "kimbundu", "name_de": "Kimbundu-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kok" } }
+{ "name_en": "Konkani", "name_fr": "konkani", "name_de": "Konkani", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kom" } }
+{ "name_en": "Komi", "name_fr": "kom", "name_de": "Komi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kv" } }
+{ "name_en": "Komi", "name_fr": "kom", "name_de": "Komi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kon" } }
+{ "name_en": "Kongo", "name_fr": "kongo", "name_de": "Kongo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kg" } }
+{ "name_en": "Kongo", "name_fr": "kongo", "name_de": "Kongo-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kor" } }
+{ "name_en": "Korean", "name_fr": "coréen", "name_de": "Koreanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ko" } }
+{ "name_en": "Korean", "name_fr": "coréen", "name_de": "Koreanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kos" } }
+{ "name_en": "Kosraean", "name_fr": "kosrae", "name_de": "Kosraeanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kpe" } }
+{ "name_en": "Kpelle", "name_fr": "kpellé", "name_de": "Kpelle-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "krc" } }
+{ "name_en": "Karachay-Balkar", "name_fr": "karatchai balkar", "name_de": "Karatschaiisch-Balkarisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "krl" } }
+{ "name_en": "Karelian", "name_fr": "carélien", "name_de": "Karelisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kro" } }
+{ "name_en": "Kru languages", "name_fr": "krou, langues", "name_de": "Kru-Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kru" } }
+{ "name_en": "Kurukh", "name_fr": "kurukh", "name_de": "Oraon-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kua" } }
+{ "name_en": "Kuanyama; Kwanyama", "name_fr": "kuanyama; kwanyama", "name_de": "Kwanyama-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kj" } }
+{ "name_en": "Kuanyama; Kwanyama", "name_fr": "kuanyama; kwanyama", "name_de": "Kwanyama-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kum" } }
+{ "name_en": "Kumyk", "name_fr": "koumyk", "name_de": "Kumükisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kur" } }
+{ "name_en": "Kurdish", "name_fr": "kurde", "name_de": "Kurdisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ku" } }
+{ "name_en": "Kurdish", "name_fr": "kurde", "name_de": "Kurdisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "kut" } }
+{ "name_en": "Kutenai", "name_fr": "kutenai", "name_de": "Kutenai-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lad" } }
+{ "name_en": "Ladino", "name_fr": "judéo-espagnol", "name_de": "Judenspanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lah" } }
+{ "name_en": "Lahnda", "name_fr": "lahnda", "name_de": "Lahnda", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lam" } }
+{ "name_en": "Lamba", "name_fr": "lamba", "name_de": "Lamba-Sprache (Bantusprache)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lao" } }
+{ "name_en": "Lao", "name_fr": "lao", "name_de": "Laotisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lo" } }
+{ "name_en": "Lao", "name_fr": "lao", "name_de": "Laotisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lat" } }
+{ "name_en": "Latin", "name_fr": "latin", "name_de": "Latein", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "la" } }
+{ "name_en": "Latin", "name_fr": "latin", "name_de": "Latein", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lav" } }
+{ "name_en": "Latvian", "name_fr": "letton", "name_de": "Lettisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lv" } }
+{ "name_en": "Latvian", "name_fr": "letton", "name_de": "Lettisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lez" } }
+{ "name_en": "Lezghian", "name_fr": "lezghien", "name_de": "Lesgisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lim" } }
+{ "name_en": "Limburgan; Limburger; Limburgish", "name_fr": "limbourgeois", "name_de": "Limburgisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "li" } }
+{ "name_en": "Limburgan; Limburger; Limburgish", "name_fr": "limbourgeois", "name_de": "Limburgisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lin" } }
+{ "name_en": "Lingala", "name_fr": "lingala", "name_de": "Lingala", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ln" } }
+{ "name_en": "Lingala", "name_fr": "lingala", "name_de": "Lingala", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lit" } }
+{ "name_en": "Lithuanian", "name_fr": "lituanien", "name_de": "Litauisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lt" } }
+{ "name_en": "Lithuanian", "name_fr": "lituanien", "name_de": "Litauisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lol" } }
+{ "name_en": "Mongo", "name_fr": "mongo", "name_de": "Mongo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "loz" } }
+{ "name_en": "Lozi", "name_fr": "lozi", "name_de": "Rotse-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ltz" } }
+{ "name_en": "Luxembourgish; Letzeburgesch", "name_fr": "luxembourgeois", "name_de": "Luxemburgisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lb" } }
+{ "name_en": "Luxembourgish; Letzeburgesch", "name_fr": "luxembourgeois", "name_de": "Luxemburgisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lua" } }
+{ "name_en": "Luba-Lulua", "name_fr": "luba-lulua", "name_de": "Lulua-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lub" } }
+{ "name_en": "Luba-Katanga", "name_fr": "luba-katanga", "name_de": "Luba-Katanga-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lu" } }
+{ "name_en": "Luba-Katanga", "name_fr": "luba-katanga", "name_de": "Luba-Katanga-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lug" } }
+{ "name_en": "Ganda", "name_fr": "ganda", "name_de": "Ganda-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lg" } }
+{ "name_en": "Ganda", "name_fr": "ganda", "name_de": "Ganda-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lui" } }
+{ "name_en": "Luiseno", "name_fr": "luiseno", "name_de": "Luiseño-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lun" } }
+{ "name_en": "Lunda", "name_fr": "lunda", "name_de": "Lunda-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "luo" } }
+{ "name_en": "Luo (Kenya and Tanzania)", "name_fr": "luo (Kenya et Tanzanie)", "name_de": "Luo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "lus" } }
+{ "name_en": "Lushai", "name_fr": "lushai", "name_de": "Lushai-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mkd" } }
+{ "name_en": "Macedonian", "name_fr": "macédonien", "name_de": "Makedonisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mk" } }
+{ "name_en": "Macedonian", "name_fr": "macédonien", "name_de": "Makedonisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mad" } }
+{ "name_en": "Madurese", "name_fr": "madourais", "name_de": "Maduresisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mag" } }
+{ "name_en": "Magahi", "name_fr": "magahi", "name_de": "Khotta", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mah" } }
+{ "name_en": "Marshallese", "name_fr": "marshall", "name_de": "Marschallesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mh" } }
+{ "name_en": "Marshallese", "name_fr": "marshall", "name_de": "Marschallesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mai" } }
+{ "name_en": "Maithili", "name_fr": "maithili", "name_de": "Maithili", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mak" } }
+{ "name_en": "Makasar", "name_fr": "makassar", "name_de": "Makassarisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mal" } }
+{ "name_en": "Malayalam", "name_fr": "malayalam", "name_de": "Malayalam", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ml" } }
+{ "name_en": "Malayalam", "name_fr": "malayalam", "name_de": "Malayalam", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "man" } }
+{ "name_en": "Mandingo", "name_fr": "mandingue", "name_de": "Malinke-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mri" } }
+{ "name_en": "Maori", "name_fr": "maori", "name_de": "Maori-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mi" } }
+{ "name_en": "Maori", "name_fr": "maori", "name_de": "Maori-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "map" } }
+{ "name_en": "Austronesian languages", "name_fr": "austronésiennes, langues", "name_de": "Austronesische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mar" } }
+{ "name_en": "Marathi", "name_fr": "marathe", "name_de": "Marathi", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mr" } }
+{ "name_en": "Marathi", "name_fr": "marathe", "name_de": "Marathi", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mas" } }
+{ "name_en": "Masai", "name_fr": "massaï", "name_de": "Massai-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "msa" } }
+{ "name_en": "Malay", "name_fr": "malais", "name_de": "Malaiisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ms" } }
+{ "name_en": "Malay", "name_fr": "malais", "name_de": "Malaiisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mdf" } }
+{ "name_en": "Moksha", "name_fr": "moksa", "name_de": "Mokscha-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mdr" } }
+{ "name_en": "Mandar", "name_fr": "mandar", "name_de": "Mandaresisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "men" } }
+{ "name_en": "Mende", "name_fr": "mendé", "name_de": "Mende-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mga" } }
+{ "name_en": "Irish, Middle (900-1200)", "name_fr": "irlandais moyen (900-1200)", "name_de": "Mittelirisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mic" } }
+{ "name_en": "Mi'kmaq; Micmac", "name_fr": "mi'kmaq; micmac", "name_de": "Micmac-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "min" } }
+{ "name_en": "Minangkabau", "name_fr": "minangkabau", "name_de": "Minangkabau-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mis" } }
+{ "name_en": "Uncoded languages", "name_fr": "langues non codées", "name_de": "Einzelne andere Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mkd" } }
+{ "name_en": "Macedonian", "name_fr": "macédonien", "name_de": "Makedonisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mk" } }
+{ "name_en": "Macedonian", "name_fr": "macédonien", "name_de": "Makedonisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mkh" } }
+{ "name_en": "Mon-Khmer languages", "name_fr": "môn-khmer, langues", "name_de": "Mon-Khmer-Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mlg" } }
+{ "name_en": "Malagasy", "name_fr": "malgache", "name_de": "Malagassi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mg" } }
+{ "name_en": "Malagasy", "name_fr": "malgache", "name_de": "Malagassi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mlt" } }
+{ "name_en": "Maltese", "name_fr": "maltais", "name_de": "Maltesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mt" } }
+{ "name_en": "Maltese", "name_fr": "maltais", "name_de": "Maltesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mnc" } }
+{ "name_en": "Manchu", "name_fr": "mandchou", "name_de": "Mandschurisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mni" } }
+{ "name_en": "Manipuri", "name_fr": "manipuri", "name_de": "Meithei-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mno" } }
+{ "name_en": "Manobo languages", "name_fr": "manobo, langues", "name_de": "Manobo-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "moh" } }
+{ "name_en": "Mohawk", "name_fr": "mohawk", "name_de": "Mohawk-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mon" } }
+{ "name_en": "Mongolian", "name_fr": "mongol", "name_de": "Mongolisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mn" } }
+{ "name_en": "Mongolian", "name_fr": "mongol", "name_de": "Mongolisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mos" } }
+{ "name_en": "Mossi", "name_fr": "moré", "name_de": "Mossi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mri" } }
+{ "name_en": "Maori", "name_fr": "maori", "name_de": "Maori-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mi" } }
+{ "name_en": "Maori", "name_fr": "maori", "name_de": "Maori-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "msa" } }
+{ "name_en": "Malay", "name_fr": "malais", "name_de": "Malaiisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ms" } }
+{ "name_en": "Malay", "name_fr": "malais", "name_de": "Malaiisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mul" } }
+{ "name_en": "Multiple languages", "name_fr": "multilingue", "name_de": "Mehrere Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mun" } }
+{ "name_en": "Munda languages", "name_fr": "mounda, langues", "name_de": "Mundasprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mus" } }
+{ "name_en": "Creek", "name_fr": "muskogee", "name_de": "Muskogisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mwl" } }
+{ "name_en": "Mirandese", "name_fr": "mirandais", "name_de": "Mirandesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mwr" } }
+{ "name_en": "Marwari", "name_fr": "marvari", "name_de": "Marwari", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "mya" } }
+{ "name_en": "Burmese", "name_fr": "birman", "name_de": "Birmanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "my" } }
+{ "name_en": "Burmese", "name_fr": "birman", "name_de": "Birmanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "myn" } }
+{ "name_en": "Mayan languages", "name_fr": "maya, langues", "name_de": "Maya-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "myv" } }
+{ "name_en": "Erzya", "name_fr": "erza", "name_de": "Erza-Mordwinisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nah" } }
+{ "name_en": "Nahuatl languages", "name_fr": "nahuatl, langues", "name_de": "Nahuatl", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nai" } }
+{ "name_en": "North American Indian languages", "name_fr": "nord-amérindiennes, langues", "name_de": "Indianersprachen, Nordamerika (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nap" } }
+{ "name_en": "Neapolitan", "name_fr": "napolitain", "name_de": "Neapel / Mundart", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nau" } }
+{ "name_en": "Nauru", "name_fr": "nauruan", "name_de": "Nauruanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "na" } }
+{ "name_en": "Nauru", "name_fr": "nauruan", "name_de": "Nauruanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nav" } }
+{ "name_en": "Navajo; Navaho", "name_fr": "navaho", "name_de": "Navajo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nv" } }
+{ "name_en": "Navajo; Navaho", "name_fr": "navaho", "name_de": "Navajo-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nbl" } }
+{ "name_en": "Ndebele, South; South Ndebele", "name_fr": "ndébélé du Sud", "name_de": "Ndebele-Sprache (Transvaal)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nr" } }
+{ "name_en": "Ndebele, South; South Ndebele", "name_fr": "ndébélé du Sud", "name_de": "Ndebele-Sprache (Transvaal)", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nde" } }
+{ "name_en": "Ndebele, North; North Ndebele", "name_fr": "ndébélé du Nord", "name_de": "Ndebele-Sprache (Simbabwe)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nd" } }
+{ "name_en": "Ndebele, North; North Ndebele", "name_fr": "ndébélé du Nord", "name_de": "Ndebele-Sprache (Simbabwe)", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ndo" } }
+{ "name_en": "Ndonga", "name_fr": "ndonga", "name_de": "Ndonga", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ng" } }
+{ "name_en": "Ndonga", "name_fr": "ndonga", "name_de": "Ndonga", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nds" } }
+{ "name_en": "Low German; Low Saxon; German, Low; Saxon, Low", "name_fr": "bas allemand; bas saxon; allemand, bas; saxon, bas", "name_de": "Niederdeutsch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nep" } }
+{ "name_en": "Nepali", "name_fr": "népalais", "name_de": "Nepali", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ne" } }
+{ "name_en": "Nepali", "name_fr": "népalais", "name_de": "Nepali", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "new" } }
+{ "name_en": "Nepal Bhasa; Newari", "name_fr": "nepal bhasa; newari", "name_de": "Newari", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nia" } }
+{ "name_en": "Nias", "name_fr": "nias", "name_de": "Nias-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nic" } }
+{ "name_en": "Niger-Kordofanian languages", "name_fr": "nigéro-kordofaniennes, langues", "name_de": "Nigerkordofanische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "niu" } }
+{ "name_en": "Niuean", "name_fr": "niué", "name_de": "Niue-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nld" } }
+{ "name_en": "Dutch; Flemish", "name_fr": "néerlandais; flamand", "name_de": "Niederländisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nl" } }
+{ "name_en": "Dutch; Flemish", "name_fr": "néerlandais; flamand", "name_de": "Niederländisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nno" } }
+{ "name_en": "Norwegian Nynorsk; Nynorsk, Norwegian", "name_fr": "norvégien nynorsk; nynorsk, norvégien", "name_de": "Nynorsk", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nn" } }
+{ "name_en": "Norwegian Nynorsk; Nynorsk, Norwegian", "name_fr": "norvégien nynorsk; nynorsk, norvégien", "name_de": "Nynorsk", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nob" } }
+{ "name_en": "Bokmål, Norwegian; Norwegian Bokmål", "name_fr": "norvégien bokmål", "name_de": "Bokmål", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nb" } }
+{ "name_en": "Bokmål, Norwegian; Norwegian Bokmål", "name_fr": "norvégien bokmål", "name_de": "Bokmål", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nog" } }
+{ "name_en": "Nogai", "name_fr": "nogaï; nogay", "name_de": "Nogaisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "non" } }
+{ "name_en": "Norse, Old", "name_fr": "norrois, vieux", "name_de": "Altnorwegisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nor" } }
+{ "name_en": "Norwegian", "name_fr": "norvégien", "name_de": "Norwegisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "no" } }
+{ "name_en": "Norwegian", "name_fr": "norvégien", "name_de": "Norwegisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nqo" } }
+{ "name_en": "N'Ko", "name_fr": "n'ko", "name_de": "N'Ko", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nso" } }
+{ "name_en": "Pedi; Sepedi; Northern Sotho", "name_fr": "pedi; sepedi; sotho du Nord", "name_de": "Pedi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nub" } }
+{ "name_en": "Nubian languages", "name_fr": "nubiennes, langues", "name_de": "Nubische Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nwc" } }
+{ "name_en": "Classical Newari; Old Newari; Classical Nepal Bhasa", "name_fr": "newari classique", "name_de": "Alt-Newari", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nya" } }
+{ "name_en": "Chichewa; Chewa; Nyanja", "name_fr": "chichewa; chewa; nyanja", "name_de": "Nyanja-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ny" } }
+{ "name_en": "Chichewa; Chewa; Nyanja", "name_fr": "chichewa; chewa; nyanja", "name_de": "Nyanja-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nym" } }
+{ "name_en": "Nyamwezi", "name_fr": "nyamwezi", "name_de": "Nyamwezi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nyn" } }
+{ "name_en": "Nyankole", "name_fr": "nyankolé", "name_de": "Nkole-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nyo" } }
+{ "name_en": "Nyoro", "name_fr": "nyoro", "name_de": "Nyoro-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "nzi" } }
+{ "name_en": "Nzima", "name_fr": "nzema", "name_de": "Nzima-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "oci" } }
+{ "name_en": "Occitan (post 1500)", "name_fr": "occitan (après 1500)", "name_de": "Okzitanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "oc" } }
+{ "name_en": "Occitan (post 1500)", "name_fr": "occitan (après 1500)", "name_de": "Okzitanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "oji" } }
+{ "name_en": "Ojibwa", "name_fr": "ojibwa", "name_de": "Ojibwa-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "oj" } }
+{ "name_en": "Ojibwa", "name_fr": "ojibwa", "name_de": "Ojibwa-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ori" } }
+{ "name_en": "Oriya", "name_fr": "oriya", "name_de": "Oriya-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "or" } }
+{ "name_en": "Oriya", "name_fr": "oriya", "name_de": "Oriya-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "orm" } }
+{ "name_en": "Oromo", "name_fr": "galla", "name_de": "Galla-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "om" } }
+{ "name_en": "Oromo", "name_fr": "galla", "name_de": "Galla-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "osa" } }
+{ "name_en": "Osage", "name_fr": "osage", "name_de": "Osage-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "oss" } }
+{ "name_en": "Ossetian; Ossetic", "name_fr": "ossète", "name_de": "Ossetisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "os" } }
+{ "name_en": "Ossetian; Ossetic", "name_fr": "ossète", "name_de": "Ossetisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ota" } }
+{ "name_en": "Turkish, Ottoman (1500-1928)", "name_fr": "turc ottoman (1500-1928)", "name_de": "Osmanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "oto" } }
+{ "name_en": "Otomian languages", "name_fr": "otomi, langues", "name_de": "Otomangue-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "paa" } }
+{ "name_en": "Papuan languages", "name_fr": "papoues, langues", "name_de": "Papuasprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pag" } }
+{ "name_en": "Pangasinan", "name_fr": "pangasinan", "name_de": "Pangasinan-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pal" } }
+{ "name_en": "Pahlavi", "name_fr": "pahlavi", "name_de": "Mittelpersisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pam" } }
+{ "name_en": "Pampanga; Kapampangan", "name_fr": "pampangan", "name_de": "Pampanggan-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pan" } }
+{ "name_en": "Panjabi; Punjabi", "name_fr": "pendjabi", "name_de": "Pandschabi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pa" } }
+{ "name_en": "Panjabi; Punjabi", "name_fr": "pendjabi", "name_de": "Pandschabi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pap" } }
+{ "name_en": "Papiamento", "name_fr": "papiamento", "name_de": "Papiamento", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pau" } }
+{ "name_en": "Palauan", "name_fr": "palau", "name_de": "Palau-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "peo" } }
+{ "name_en": "Persian, Old (ca.600-400 B.C.)", "name_fr": "perse, vieux (ca. 600-400 av. J.-C.)", "name_de": "Altpersisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fas" } }
+{ "name_en": "Persian", "name_fr": "persan", "name_de": "Persisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "fa" } }
+{ "name_en": "Persian", "name_fr": "persan", "name_de": "Persisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "phi" } }
+{ "name_en": "Philippine languages", "name_fr": "philippines, langues", "name_de": "Philippinisch-Austronesisch (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "phn" } }
+{ "name_en": "Phoenician", "name_fr": "phénicien", "name_de": "Phönikisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pli" } }
+{ "name_en": "Pali", "name_fr": "pali", "name_de": "Pali", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pi" } }
+{ "name_en": "Pali", "name_fr": "pali", "name_de": "Pali", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pol" } }
+{ "name_en": "Polish", "name_fr": "polonais", "name_de": "Polnisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pl" } }
+{ "name_en": "Polish", "name_fr": "polonais", "name_de": "Polnisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pon" } }
+{ "name_en": "Pohnpeian", "name_fr": "pohnpei", "name_de": "Ponapeanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "por" } }
+{ "name_en": "Portuguese", "name_fr": "portugais", "name_de": "Portugiesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pt" } }
+{ "name_en": "Portuguese", "name_fr": "portugais", "name_de": "Portugiesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pra" } }
+{ "name_en": "Prakrit languages", "name_fr": "prâkrit, langues", "name_de": "Prakrit", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pro" } }
+{ "name_en": "Provençal, Old (to 1500);Occitan, Old (to 1500)", "name_fr": "provençal ancien (jusqu'à 1500); occitan ancien (jusqu'à 1500)", "name_de": "Altokzitanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "pus" } }
+{ "name_en": "Pushto; Pashto", "name_fr": "pachto", "name_de": "Paschtu", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ps" } }
+{ "name_en": "Pushto; Pashto", "name_fr": "pachto", "name_de": "Paschtu", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "que" } }
+{ "name_en": "Quechua", "name_fr": "quechua", "name_de": "Quechua-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "qu" } }
+{ "name_en": "Quechua", "name_fr": "quechua", "name_de": "Quechua-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "raj" } }
+{ "name_en": "Rajasthani", "name_fr": "rajasthani", "name_de": "Rajasthani", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rap" } }
+{ "name_en": "Rapanui", "name_fr": "rapanui", "name_de": "Osterinsel-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rar" } }
+{ "name_en": "Rarotongan; Cook Islands Maori", "name_fr": "rarotonga; maori des îles Cook", "name_de": "Rarotonganisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "roa" } }
+{ "name_en": "Romance languages", "name_fr": "romanes, langues", "name_de": "Romanische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "roh" } }
+{ "name_en": "Romansh", "name_fr": "romanche", "name_de": "Rätoromanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rm" } }
+{ "name_en": "Romansh", "name_fr": "romanche", "name_de": "Rätoromanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rom" } }
+{ "name_en": "Romany", "name_fr": "tsigane", "name_de": "Romani (Sprache)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ron" } }
+{ "name_en": "Romanian; Moldavian; Moldovan", "name_fr": "roumain; moldave", "name_de": "Rumänisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ro" } }
+{ "name_en": "Romanian; Moldavian; Moldovan", "name_fr": "roumain; moldave", "name_de": "Rumänisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ron" } }
+{ "name_en": "Romanian; Moldavian; Moldovan", "name_fr": "roumain; moldave", "name_de": "Rumänisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ro" } }
+{ "name_en": "Romanian; Moldavian; Moldovan", "name_fr": "roumain; moldave", "name_de": "Rumänisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "run" } }
+{ "name_en": "Rundi", "name_fr": "rundi", "name_de": "Rundi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rn" } }
+{ "name_en": "Rundi", "name_fr": "rundi", "name_de": "Rundi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rup" } }
+{ "name_en": "Aromanian; Arumanian; Macedo-Romanian", "name_fr": "aroumain; macédo-roumain", "name_de": "Aromunisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "rus" } }
+{ "name_en": "Russian", "name_fr": "russe", "name_de": "Russisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ru" } }
+{ "name_en": "Russian", "name_fr": "russe", "name_de": "Russisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sad" } }
+{ "name_en": "Sandawe", "name_fr": "sandawe", "name_de": "Sandawe-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sag" } }
+{ "name_en": "Sango", "name_fr": "sango", "name_de": "Sango-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sg" } }
+{ "name_en": "Sango", "name_fr": "sango", "name_de": "Sango-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sah" } }
+{ "name_en": "Yakut", "name_fr": "iakoute", "name_de": "Jakutisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sai" } }
+{ "name_en": "South American Indian languages", "name_fr": "sud-amérindiennes, langues", "name_de": "Indianersprachen, Südamerika (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sal" } }
+{ "name_en": "Salishan languages", "name_fr": "salishennes, langues", "name_de": "Salish-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sam" } }
+{ "name_en": "Samaritan Aramaic", "name_fr": "samaritain", "name_de": "Samaritanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "san" } }
+{ "name_en": "Sanskrit", "name_fr": "sanskrit", "name_de": "Sanskrit", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sa" } }
+{ "name_en": "Sanskrit", "name_fr": "sanskrit", "name_de": "Sanskrit", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sas" } }
+{ "name_en": "Sasak", "name_fr": "sasak", "name_de": "Sasak", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sat" } }
+{ "name_en": "Santali", "name_fr": "santal", "name_de": "Santali", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "scn" } }
+{ "name_en": "Sicilian", "name_fr": "sicilien", "name_de": "Sizilianisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sco" } }
+{ "name_en": "Scots", "name_fr": "écossais", "name_de": "Schottisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sel" } }
+{ "name_en": "Selkup", "name_fr": "selkoupe", "name_de": "Selkupisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sem" } }
+{ "name_en": "Semitic languages", "name_fr": "sémitiques, langues", "name_de": "Semitische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sga" } }
+{ "name_en": "Irish, Old (to 900)", "name_fr": "irlandais ancien (jusqu'à 900)", "name_de": "Altirisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sgn" } }
+{ "name_en": "Sign Languages", "name_fr": "langues des signes", "name_de": "Zeichensprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "shn" } }
+{ "name_en": "Shan", "name_fr": "chan", "name_de": "Schan-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sid" } }
+{ "name_en": "Sidamo", "name_fr": "sidamo", "name_de": "Sidamo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sin" } }
+{ "name_en": "Sinhala; Sinhalese", "name_fr": "singhalais", "name_de": "Singhalesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "si" } }
+{ "name_en": "Sinhala; Sinhalese", "name_fr": "singhalais", "name_de": "Singhalesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sio" } }
+{ "name_en": "Siouan languages", "name_fr": "sioux, langues", "name_de": "Sioux-Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sit" } }
+{ "name_en": "Sino-Tibetan languages", "name_fr": "sino-tibétaines, langues", "name_de": "Sinotibetische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sla" } }
+{ "name_en": "Slavic languages", "name_fr": "slaves, langues", "name_de": "Slawische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "slk" } }
+{ "name_en": "Slovak", "name_fr": "slovaque", "name_de": "Slowakisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sk" } }
+{ "name_en": "Slovak", "name_fr": "slovaque", "name_de": "Slowakisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "slk" } }
+{ "name_en": "Slovak", "name_fr": "slovaque", "name_de": "Slowakisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sk" } }
+{ "name_en": "Slovak", "name_fr": "slovaque", "name_de": "Slowakisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "slv" } }
+{ "name_en": "Slovenian", "name_fr": "slovène", "name_de": "Slowenisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sl" } }
+{ "name_en": "Slovenian", "name_fr": "slovène", "name_de": "Slowenisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sma" } }
+{ "name_en": "Southern Sami", "name_fr": "sami du Sud", "name_de": "Südsaamisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sme" } }
+{ "name_en": "Northern Sami", "name_fr": "sami du Nord", "name_de": "Nordsaamisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "se" } }
+{ "name_en": "Northern Sami", "name_fr": "sami du Nord", "name_de": "Nordsaamisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "smi" } }
+{ "name_en": "Sami languages", "name_fr": "sames, langues", "name_de": "Saamisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "smj" } }
+{ "name_en": "Lule Sami", "name_fr": "sami de Lule", "name_de": "Lulesaamisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "smn" } }
+{ "name_en": "Inari Sami", "name_fr": "sami d'Inari", "name_de": "Inarisaamisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "smo" } }
+{ "name_en": "Samoan", "name_fr": "samoan", "name_de": "Samoanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sm" } }
+{ "name_en": "Samoan", "name_fr": "samoan", "name_de": "Samoanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sms" } }
+{ "name_en": "Skolt Sami", "name_fr": "sami skolt", "name_de": "Skoltsaamisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sna" } }
+{ "name_en": "Shona", "name_fr": "shona", "name_de": "Schona-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sn" } }
+{ "name_en": "Shona", "name_fr": "shona", "name_de": "Schona-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "snd" } }
+{ "name_en": "Sindhi", "name_fr": "sindhi", "name_de": "Sindhi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sd" } }
+{ "name_en": "Sindhi", "name_fr": "sindhi", "name_de": "Sindhi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "snk" } }
+{ "name_en": "Soninke", "name_fr": "soninké", "name_de": "Soninke-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sog" } }
+{ "name_en": "Sogdian", "name_fr": "sogdien", "name_de": "Sogdisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "som" } }
+{ "name_en": "Somali", "name_fr": "somali", "name_de": "Somali", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "so" } }
+{ "name_en": "Somali", "name_fr": "somali", "name_de": "Somali", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "son" } }
+{ "name_en": "Songhai languages", "name_fr": "songhai, langues", "name_de": "Songhai-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sot" } }
+{ "name_en": "Sotho, Southern", "name_fr": "sotho du Sud", "name_de": "Süd-Sotho-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "st" } }
+{ "name_en": "Sotho, Southern", "name_fr": "sotho du Sud", "name_de": "Süd-Sotho-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "spa" } }
+{ "name_en": "Spanish; Castilian", "name_fr": "espagnol; castillan", "name_de": "Spanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "es" } }
+{ "name_en": "Spanish; Castilian", "name_fr": "espagnol; castillan", "name_de": "Spanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sqi" } }
+{ "name_en": "Albanian", "name_fr": "albanais", "name_de": "Albanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sq" } }
+{ "name_en": "Albanian", "name_fr": "albanais", "name_de": "Albanisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "srd" } }
+{ "name_en": "Sardinian", "name_fr": "sarde", "name_de": "Sardisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sc" } }
+{ "name_en": "Sardinian", "name_fr": "sarde", "name_de": "Sardisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "srn" } }
+{ "name_en": "Sranan Tongo", "name_fr": "sranan tongo", "name_de": "Sranantongo", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "srp" } }
+{ "name_en": "Serbian", "name_fr": "serbe", "name_de": "Serbisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sr" } }
+{ "name_en": "Serbian", "name_fr": "serbe", "name_de": "Serbisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "srr" } }
+{ "name_en": "Serer", "name_fr": "sérère", "name_de": "Serer-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ssa" } }
+{ "name_en": "Nilo-Saharan languages", "name_fr": "nilo-sahariennes, langues", "name_de": "Nilosaharanische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ssw" } }
+{ "name_en": "Swati", "name_fr": "swati", "name_de": "Swasi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ss" } }
+{ "name_en": "Swati", "name_fr": "swati", "name_de": "Swasi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "suk" } }
+{ "name_en": "Sukuma", "name_fr": "sukuma", "name_de": "Sukuma-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sun" } }
+{ "name_en": "Sundanese", "name_fr": "soundanais", "name_de": "Sundanesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "su" } }
+{ "name_en": "Sundanese", "name_fr": "soundanais", "name_de": "Sundanesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sus" } }
+{ "name_en": "Susu", "name_fr": "soussou", "name_de": "Susu", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sux" } }
+{ "name_en": "Sumerian", "name_fr": "sumérien", "name_de": "Sumerisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "swa" } }
+{ "name_en": "Swahili", "name_fr": "swahili", "name_de": "Swahili", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sw" } }
+{ "name_en": "Swahili", "name_fr": "swahili", "name_de": "Swahili", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "swe" } }
+{ "name_en": "Swedish", "name_fr": "suédois", "name_de": "Schwedisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "sv" } }
+{ "name_en": "Swedish", "name_fr": "suédois", "name_de": "Schwedisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "syc" } }
+{ "name_en": "Classical Syriac", "name_fr": "syriaque classique", "name_de": "Syrisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "syr" } }
+{ "name_en": "Syriac", "name_fr": "syriaque", "name_de": "Neuostaramäisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tah" } }
+{ "name_en": "Tahitian", "name_fr": "tahitien", "name_de": "Tahitisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ty" } }
+{ "name_en": "Tahitian", "name_fr": "tahitien", "name_de": "Tahitisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tai" } }
+{ "name_en": "Tai languages", "name_fr": "tai, langues", "name_de": "Thaisprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tam" } }
+{ "name_en": "Tamil", "name_fr": "tamoul", "name_de": "Tamil", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ta" } }
+{ "name_en": "Tamil", "name_fr": "tamoul", "name_de": "Tamil", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tat" } }
+{ "name_en": "Tatar", "name_fr": "tatar", "name_de": "Tatarisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tt" } }
+{ "name_en": "Tatar", "name_fr": "tatar", "name_de": "Tatarisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tel" } }
+{ "name_en": "Telugu", "name_fr": "télougou", "name_de": "Telugu-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "te" } }
+{ "name_en": "Telugu", "name_fr": "télougou", "name_de": "Telugu-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tem" } }
+{ "name_en": "Timne", "name_fr": "temne", "name_de": "Temne-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ter" } }
+{ "name_en": "Tereno", "name_fr": "tereno", "name_de": "Tereno-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tet" } }
+{ "name_en": "Tetum", "name_fr": "tetum", "name_de": "Tetum-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tgk" } }
+{ "name_en": "Tajik", "name_fr": "tadjik", "name_de": "Tadschikisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tg" } }
+{ "name_en": "Tajik", "name_fr": "tadjik", "name_de": "Tadschikisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tgl" } }
+{ "name_en": "Tagalog", "name_fr": "tagalog", "name_de": "Tagalog", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tl" } }
+{ "name_en": "Tagalog", "name_fr": "tagalog", "name_de": "Tagalog", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tha" } }
+{ "name_en": "Thai", "name_fr": "thaï", "name_de": "Thailändisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "th" } }
+{ "name_en": "Thai", "name_fr": "thaï", "name_de": "Thailändisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bod" } }
+{ "name_en": "Tibetan", "name_fr": "tibétain", "name_de": "Tibetisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "bo" } }
+{ "name_en": "Tibetan", "name_fr": "tibétain", "name_de": "Tibetisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tig" } }
+{ "name_en": "Tigre", "name_fr": "tigré", "name_de": "Tigre-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tir" } }
+{ "name_en": "Tigrinya", "name_fr": "tigrigna", "name_de": "Tigrinja-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ti" } }
+{ "name_en": "Tigrinya", "name_fr": "tigrigna", "name_de": "Tigrinja-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tiv" } }
+{ "name_en": "Tiv", "name_fr": "tiv", "name_de": "Tiv-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tkl" } }
+{ "name_en": "Tokelau", "name_fr": "tokelau", "name_de": "Tokelauanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tlh" } }
+{ "name_en": "Klingon; tlhIngan-Hol", "name_fr": "klingon", "name_de": "Klingonisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tli" } }
+{ "name_en": "Tlingit", "name_fr": "tlingit", "name_de": "Tlingit-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tmh" } }
+{ "name_en": "Tamashek", "name_fr": "tamacheq", "name_de": "Tamašeq", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tog" } }
+{ "name_en": "Tonga (Nyasa)", "name_fr": "tonga (Nyasa)", "name_de": "Tonga (Bantusprache, Sambia)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ton" } }
+{ "name_en": "Tonga (Tonga Islands)", "name_fr": "tongan (Îles Tonga)", "name_de": "Tongaisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "to" } }
+{ "name_en": "Tonga (Tonga Islands)", "name_fr": "tongan (Îles Tonga)", "name_de": "Tongaisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tpi" } }
+{ "name_en": "Tok Pisin", "name_fr": "tok pisin", "name_de": "Neumelanesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tsi" } }
+{ "name_en": "Tsimshian", "name_fr": "tsimshian", "name_de": "Tsimshian-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tsn" } }
+{ "name_en": "Tswana", "name_fr": "tswana", "name_de": "Tswana-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tn" } }
+{ "name_en": "Tswana", "name_fr": "tswana", "name_de": "Tswana-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tso" } }
+{ "name_en": "Tsonga", "name_fr": "tsonga", "name_de": "Tsonga-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ts" } }
+{ "name_en": "Tsonga", "name_fr": "tsonga", "name_de": "Tsonga-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tuk" } }
+{ "name_en": "Turkmen", "name_fr": "turkmène", "name_de": "Turkmenisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tk" } }
+{ "name_en": "Turkmen", "name_fr": "turkmène", "name_de": "Turkmenisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tum" } }
+{ "name_en": "Tumbuka", "name_fr": "tumbuka", "name_de": "Tumbuka-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tup" } }
+{ "name_en": "Tupi languages", "name_fr": "tupi, langues", "name_de": "Tupi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tur" } }
+{ "name_en": "Turkish", "name_fr": "turc", "name_de": "Türkisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tr" } }
+{ "name_en": "Turkish", "name_fr": "turc", "name_de": "Türkisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tut" } }
+{ "name_en": "Altaic languages", "name_fr": "altaïques, langues", "name_de": "Altaische Sprachen (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tvl" } }
+{ "name_en": "Tuvalu", "name_fr": "tuvalu", "name_de": "Elliceanisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "twi" } }
+{ "name_en": "Twi", "name_fr": "twi", "name_de": "Twi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tw" } }
+{ "name_en": "Twi", "name_fr": "twi", "name_de": "Twi-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "tyv" } }
+{ "name_en": "Tuvinian", "name_fr": "touva", "name_de": "Tuwinisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "udm" } }
+{ "name_en": "Udmurt", "name_fr": "oudmourte", "name_de": "Udmurtisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "uga" } }
+{ "name_en": "Ugaritic", "name_fr": "ougaritique", "name_de": "Ugaritisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "uig" } }
+{ "name_en": "Uighur; Uyghur", "name_fr": "ouïgour", "name_de": "Uigurisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ug" } }
+{ "name_en": "Uighur; Uyghur", "name_fr": "ouïgour", "name_de": "Uigurisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ukr" } }
+{ "name_en": "Ukrainian", "name_fr": "ukrainien", "name_de": "Ukrainisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "uk" } }
+{ "name_en": "Ukrainian", "name_fr": "ukrainien", "name_de": "Ukrainisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "umb" } }
+{ "name_en": "Umbundu", "name_fr": "umbundu", "name_de": "Mbundu-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "und" } }
+{ "name_en": "Undetermined", "name_fr": "indéterminée", "name_de": "Nicht zu entscheiden", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "urd" } }
+{ "name_en": "Urdu", "name_fr": "ourdou", "name_de": "Urdu", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ur" } }
+{ "name_en": "Urdu", "name_fr": "ourdou", "name_de": "Urdu", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "uzb" } }
+{ "name_en": "Uzbek", "name_fr": "ouszbek", "name_de": "Usbekisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "uz" } }
+{ "name_en": "Uzbek", "name_fr": "ouszbek", "name_de": "Usbekisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "vai" } }
+{ "name_en": "Vai", "name_fr": "vaï", "name_de": "Vai-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ven" } }
+{ "name_en": "Venda", "name_fr": "venda", "name_de": "Venda-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ve" } }
+{ "name_en": "Venda", "name_fr": "venda", "name_de": "Venda-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "vie" } }
+{ "name_en": "Vietnamese", "name_fr": "vietnamien", "name_de": "Vietnamesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "vi" } }
+{ "name_en": "Vietnamese", "name_fr": "vietnamien", "name_de": "Vietnamesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "vol" } }
+{ "name_en": "Volapük", "name_fr": "volapük", "name_de": "Volapük", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "vo" } }
+{ "name_en": "Volapük", "name_fr": "volapük", "name_de": "Volapük", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "vot" } }
+{ "name_en": "Votic", "name_fr": "vote", "name_de": "Wotisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "wak" } }
+{ "name_en": "Wakashan languages", "name_fr": "wakashanes, langues", "name_de": "Wakash-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "wal" } }
+{ "name_en": "Wolaitta; Wolaytta", "name_fr": "wolaitta; wolaytta", "name_de": "Walamo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "war" } }
+{ "name_en": "Waray", "name_fr": "waray", "name_de": "Waray", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "was" } }
+{ "name_en": "Washo", "name_fr": "washo", "name_de": "Washo-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cym" } }
+{ "name_en": "Welsh", "name_fr": "gallois", "name_de": "Kymrisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "cy" } }
+{ "name_en": "Welsh", "name_fr": "gallois", "name_de": "Kymrisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "wen" } }
+{ "name_en": "Sorbian languages", "name_fr": "sorabes, langues", "name_de": "Sorbisch (Andere)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "wln" } }
+{ "name_en": "Walloon", "name_fr": "wallon", "name_de": "Wallonisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "wa" } }
+{ "name_en": "Walloon", "name_fr": "wallon", "name_de": "Wallonisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "wol" } }
+{ "name_en": "Wolof", "name_fr": "wolof", "name_de": "Wolof-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "wo" } }
+{ "name_en": "Wolof", "name_fr": "wolof", "name_de": "Wolof-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "xal" } }
+{ "name_en": "Kalmyk; Oirat", "name_fr": "kalmouk; oïrat", "name_de": "Kalmückisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "xho" } }
+{ "name_en": "Xhosa", "name_fr": "xhosa", "name_de": "Xhosa-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "xh" } }
+{ "name_en": "Xhosa", "name_fr": "xhosa", "name_de": "Xhosa-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "yao" } }
+{ "name_en": "Yao", "name_fr": "yao", "name_de": "Yao-Sprache (Bantusprache)", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "yap" } }
+{ "name_en": "Yapese", "name_fr": "yapois", "name_de": "Yapesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "yid" } }
+{ "name_en": "Yiddish", "name_fr": "yiddish", "name_de": "Jiddisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "yi" } }
+{ "name_en": "Yiddish", "name_fr": "yiddish", "name_de": "Jiddisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "yor" } }
+{ "name_en": "Yoruba", "name_fr": "yoruba", "name_de": "Yoruba-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "yo" } }
+{ "name_en": "Yoruba", "name_fr": "yoruba", "name_de": "Yoruba-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "ypk" } }
+{ "name_en": "Yupik languages", "name_fr": "yupik, langues", "name_de": "Ypik-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zap" } }
+{ "name_en": "Zapotec", "name_fr": "zapotèque", "name_de": "Zapotekisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zbl" } }
+{ "name_en": "Blissymbols; Blissymbolics; Bliss", "name_fr": "symboles Bliss; Bliss", "name_de": "Bliss-Symbol", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zen" } }
+{ "name_en": "Zenaga", "name_fr": "zenaga", "name_de": "Zenaga", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zgh" } }
+{ "name_en": "Standard Moroccan Tamazight", "name_fr": "amazighe standard marocain", "name_de": "", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zha" } }
+{ "name_en": "Zhuang; Chuang", "name_fr": "zhuang; chuang", "name_de": "Zhuang", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "za" } }
+{ "name_en": "Zhuang; Chuang", "name_fr": "zhuang; chuang", "name_de": "Zhuang", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zho" } }
+{ "name_en": "Chinese", "name_fr": "chinois", "name_de": "Chinesisch", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zh" } }
+{ "name_en": "Chinese", "name_fr": "chinois", "name_de": "Chinesisch", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "znd" } }
+{ "name_en": "Zande languages", "name_fr": "zandé, langues", "name_de": "Zande-Sprachen", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zul" } }
+{ "name_en": "Zulu", "name_fr": "zoulou", "name_de": "Zulu-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zu" } }
+{ "name_en": "Zulu", "name_fr": "zoulou", "name_de": "Zulu-Sprache", "tag": "ISO639-1" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zun" } }
+{ "name_en": "Zuni", "name_fr": "zuni", "name_de": "Zuñi-Sprache", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zxx" } }
+{ "name_en": "No linguistic content; Not applicable", "name_fr": "pas de contenu linguistique; non applicable", "name_de": "Kein linguistischer Inhalt", "tag": "ISO639-2" }
+{ "index": { "_index": "vocabs.iso639", "_id": "zza" } }
+{ "name_en": "Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki", "name_fr": "zaza; dimili; dimli; kirdki; kirmanjki; zazaki", "name_de": "Zazaki", "tag": "ISO639-2" }
diff --git a/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.kim.hcrt.json b/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.kim.hcrt.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2fd52c2d9b8f9537dccd38361471c66a4b598b7
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.kim.hcrt.json
@@ -0,0 +1,52 @@
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "application" } }
+{ "name_de": "Softwareanwendung", "name_en": "Software Application", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "assessment" } }
+{ "name_de": "Lernkontrolle, Assessment", "name_en": "Assessment", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "audio" } }
+{ "name_de": "Audio, Tonaufnahme", "name_en": "Audio Recording", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "case_study" } }
+{ "name_de": "Fallstudie", "name_en": "Case Study", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "course" } }
+{ "name_de": "Kurs", "name_en": "Course", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "data" } }
+{ "name_de": "Daten", "name_en": "Data", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "diagram" } }
+{ "name_de": "Diagramm, Grafik", "name_en": "Diagram", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "drill_and_practice" } }
+{ "name_de": "Übung", "name_en": "Drill and Practice", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "educational_game" } }
+{ "name_de": "Lernspiel", "name_en": "Game", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "experiment" } }
+{ "name_de": "Experiment", "name_en": "Experiment", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "image" } }
+{ "name_de": "Abbildung, Bild", "name_en": "Image", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "index" } }
+{ "name_de": "Nachschlagwerk", "name_en": "Reference Work", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "lesson_plan" } }
+{ "name_de": "Unterrichtsplanung", "name_en": "Lesson Plan", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "map" } }
+{ "name_de": "Karte", "name_en": "Map", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "portal" } }
+{ "name_de": "Portal", "name_en": "Web Portal", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "questionnaire" } }
+{ "name_de": "Fragebogen", "name_en": "Questionnaire", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "script" } }
+{ "name_de": "Skript", "name_en": "Script", "tag": "vocabs.kim.hcrt" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "sheet_music" } }
+{ "name_de": "Musiknoten", "name_en": "Sheet Music", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "simulation" } }
+{ "name_de": "Simulation", "name_en": "Simulation", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "slide" } }
+{ "name_de": "Präsentation", "name_en": "Presentation", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "text" } }
+{ "name_de": "Textdokument", "name_en": "Text", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "textbook" } }
+{ "name_de": "Lehrbuch", "name_en": "Textbook", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "video" } }
+{ "name_de": "Video", "name_en": "Video", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "web_page" } }
+{ "name_de": "Webseite", "name_en": "Web Page", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "worksheet" } }
+{ "name_de": "Arbeitsmaterial", "name_en": "Worksheet", "tag": "HCRT" }
+{ "index": { "_index": "vocabs.kim.hcrt", "_id": "other" } }
+{ "name_de": "Sonstiges", "name_en": "Other", "tag": "HCRT" }
diff --git a/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.oefos2012.json b/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.oefos2012.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f5f8bd2514bce68bacbb5e9f12e2b784fba765d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Bulk-index_POST_vocabs.oefos2012.json
@@ -0,0 +1,2948 @@
+{ "index": { "_index": "vocabs.oefos2012", "_id": "1" } }
+{ "name_de": "NATURWISSENSCHAFTEN", "name_en": "NATURAL SCIENCES", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101" } }
+{ "name_de": "Mathematik", "name_en": "Mathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "1010" } }
+{ "name_de": "Mathematik", "name_en": "Mathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101001" } }
+{ "name_de": "Algebra", "name_en": "Algebra", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101002" } }
+{ "name_de": "Analysis", "name_en": "Analysis", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101003" } }
+{ "name_de": "Angewandte Geometrie", "name_en": "Applied geometry", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101004" } }
+{ "name_de": "Biomathematik", "name_en": "Biomathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101005" } }
+{ "name_de": "Computeralgebra", "name_en": "Computer algebra", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101006" } }
+{ "name_de": "Differentialgeometrie", "name_en": "Differential geometry", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101007" } }
+{ "name_de": "Finanzmathematik", "name_en": "Financial mathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101008" } }
+{ "name_de": "Funktionentheorie", "name_en": "Complex analysis", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101009" } }
+{ "name_de": "Geometrie", "name_en": "Geometry", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101010" } }
+{ "name_de": "Geschichte der Mathematik", "name_en": "History of mathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101011" } }
+{ "name_de": "Graphentheorie", "name_en": "Graph theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101012" } }
+{ "name_de": "Kombinatorik", "name_en": "Combinatorics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101013" } }
+{ "name_de": "Mathematische Logik", "name_en": "Mathematical logic", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101014" } }
+{ "name_de": "Numerische Mathematik", "name_en": "Numerical mathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101015" } }
+{ "name_de": "Operations Research", "name_en": "Operations research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101016" } }
+{ "name_de": "Optimierung", "name_en": "Optimisation", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101017" } }
+{ "name_de": "Spieltheorie", "name_en": "Game theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101018" } }
+{ "name_de": "Statistik", "name_en": "Statistics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101019" } }
+{ "name_de": "Stochastik", "name_en": "Stochastics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101020" } }
+{ "name_de": "Technische Mathematik", "name_en": "Technical mathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101021" } }
+{ "name_de": "Theoretische Kybernetik", "name_en": "Theoretical cybernetics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101022" } }
+{ "name_de": "Topologie", "name_en": "Topology", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101023" } }
+{ "name_de": "Versicherungsmathematik", "name_en": "Actuarial mathematics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101024" } }
+{ "name_de": "Wahrscheinlichkeitstheorie", "name_en": "Probability theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101025" } }
+{ "name_de": "Zahlentheorie", "name_en": "Number theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101026" } }
+{ "name_de": "Zeitreihenanalyse", "name_en": "Time series analysis", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101027" } }
+{ "name_de": "Dynamische Systeme", "name_en": "Dynamical systems", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101028" } }
+{ "name_de": "Mathematische Modellierung", "name_en": "Mathematical modelling", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101029" } }
+{ "name_de": "Mathematische Statistik", "name_en": "Mathematical statistics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101030" } }
+{ "name_de": "Zuverlässigkeitstheorie", "name_en": "Reliability theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101031" } }
+{ "name_de": "Approximationstheorie", "name_en": "Approximation theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "101032" } }
+{ "name_de": "Funktionalanalysis", "name_en": "Functional analysis", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102" } }
+{ "name_de": "Informatik", "name_en": "Computer Sciences", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "1020" } }
+{ "name_de": "Informatik", "name_en": "Computer Sciences", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102001" } }
+{ "name_de": "Artificial Intelligence", "name_en": "Artificial intelligence", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102002" } }
+{ "name_de": "Augmented Reality", "name_en": "Augmented reality", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102003" } }
+{ "name_de": "Bildverarbeitung", "name_en": "Image processing", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102004" } }
+{ "name_de": "Bioinformatik", "name_en": "Bioinformatics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102005" } }
+{ "name_de": "Computer Aided Design (CAD)", "name_en": "Computer aided design (CAD)", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102006" } }
+{ "name_de": "Computer Supported Cooperative Work (CSCW)", "name_en": "Computer supported cooperative work (CSCW)", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102007" } }
+{ "name_de": "Computeranimation", "name_en": "Computer animation", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102008" } }
+{ "name_de": "Computergraphik", "name_en": "Computer graphics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102009" } }
+{ "name_de": "Computersimulation", "name_en": "Computer simulation", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102010" } }
+{ "name_de": "Datenbanksysteme", "name_en": "Database systems", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102011" } }
+{ "name_de": "Formale Sprachen", "name_en": "Formal languages", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102012" } }
+{ "name_de": "Geschichte der Informatik", "name_en": "History of computer science", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102013" } }
+{ "name_de": "Human-Computer Interaction", "name_en": "Human-computer interaction", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102014" } }
+{ "name_de": "Informationsdesign", "name_en": "Information design", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102015" } }
+{ "name_de": "Informationssysteme", "name_en": "Information systems", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102016" } }
+{ "name_de": "IT-Sicherheit", "name_en": "IT security", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102017" } }
+{ "name_de": "Kryptologie", "name_en": "Cryptology", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102018" } }
+{ "name_de": "Künstliche Neuronale Netze", "name_en": "Artificial neural networks", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102019" } }
+{ "name_de": "Machine Learning", "name_en": "Machine learning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "102020" } }
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+{ "name_de": "Forst- und Holzwirtschaft", "name_en": "Forestry and Wood Industry", "tag": "oefos2012" }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "4020" } }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "402001" } }
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+{ "name_de": "Fleischproduktion", "name_en": "Meat production", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "402005" } }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "402006" } }
+{ "name_de": "Haustierzucht", "name_en": "Pet breeding", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "402007" } }
+{ "name_de": "Imkerei", "name_en": "Apiculture", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "402008" } }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "402009" } }
+{ "name_de": "Lebensmitteluntersuchung", "name_en": "Food testing", "tag": "oefos2012" }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "402013" } }
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+{ "name_de": "Tierproduktion", "name_en": "Animal production", "tag": "oefos2012" }
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+{ "name_de": "Tierschutz", "name_en": "Animal welfare", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "402017" } }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "402018" } }
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+{ "name_de": "Veterinärmedizin", "name_en": "Veterinary Medicine", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "403001" } }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "403002" } }
+{ "name_de": "Anatomie (Veterinärmedizin)", "name_en": "Veterinary anatomy", "tag": "oefos2012" }
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+{ "name_de": "Andrologie (Veterinärmedizin)", "name_en": "Veterinary andrology", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "403004" } }
+{ "name_de": "Augenheilkunde (Veterinärmedizin)", "name_en": "Veterinary ophthalmology", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "403005" } }
+{ "name_de": "Bakteriologie (Veterinärmedizin)", "name_en": "Veterinary bacteriology", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "403006" } }
+{ "name_de": "Bildgebende Diagnostik (Veterinärmedizin)", "name_en": "Veterinary diagnostic imaging", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "403007" } }
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+{ "name_de": "Datenschutz", "name_en": "Data protection", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505003" } }
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+{ "name_de": "Finanzrecht", "name_en": "Financial law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505005" } }
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+{ "name_de": "Grundrechte", "name_en": "Fundamental rights", "tag": "oefos2012" }
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+{ "name_de": "Sozialrecht", "name_en": "Social law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505021" } }
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+{ "name_de": "Steuerrecht", "name_en": "Tax law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505023" } }
+{ "name_de": "Strafprozessrecht", "name_en": "Criminal procedural law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505024" } }
+{ "name_de": "Strafrecht", "name_en": "Criminal law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505025" } }
+{ "name_de": "Unternehmensrecht", "name_en": "Business law", "tag": "oefos2012" }
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+{ "name_de": "Verfassungsrecht", "name_en": "Constitutional law", "tag": "oefos2012" }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "505029" } }
+{ "name_de": "Völkerrecht", "name_en": "International law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505030" } }
+{ "name_de": "Wirtschaftsrecht", "name_en": "Commercial law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505031" } }
+{ "name_de": "Zivilrecht", "name_en": "Civil law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505032" } }
+{ "name_de": "Zivilverfahrensrecht", "name_en": "Civil procedure law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505033" } }
+{ "name_de": "Antidiskriminierungsrecht", "name_en": "Anti-discrimination law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505034" } }
+{ "name_de": "Bank- und Kapitalmarktrecht", "name_en": "Banking and capital market law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505035" } }
+{ "name_de": "Baurecht", "name_en": "Building law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505036" } }
+{ "name_de": "Energierecht", "name_en": "Energy law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505037" } }
+{ "name_de": "Familien- und Erbrecht", "name_en": "Family and inheritance law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505038" } }
+{ "name_de": "Marken- und Patentrecht", "name_en": "Trademark and patent law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505039" } }
+{ "name_de": "Medienrecht", "name_en": "Media law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505040" } }
+{ "name_de": "Sportrecht", "name_en": "Sports law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505041" } }
+{ "name_de": "Umweltrecht", "name_en": "Environmental law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505042" } }
+{ "name_de": "Verkehrsrecht", "name_en": "Traffic law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505043" } }
+{ "name_de": "Wettbewerbs- und Kartellrecht", "name_en": "Competition and antitrust law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505044" } }
+{ "name_de": "Gesellschaftsrecht", "name_en": "Corporate law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505045" } }
+{ "name_de": "Hochschulrecht", "name_en": "Higher education law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505046" } }
+{ "name_de": "Luft- und Weltraumrecht", "name_en": "Air and space law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505047" } }
+{ "name_de": "Allgemeines Verfahrensrecht", "name_en": "General procedural law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505048" } }
+{ "name_de": "Sachenrecht", "name_en": "Property law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505049" } }
+{ "name_de": "Schiedsverfahrensrecht", "name_en": "Arbitration law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505050" } }
+{ "name_de": "Tierschutzrecht", "name_en": "Animal protection law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505051" } }
+{ "name_de": "Rechtsethik", "name_en": "Legal ethics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505052" } }
+{ "name_de": "Versicherungsrecht", "name_en": "Insurance law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "505053" } }
+{ "name_de": "Verwaltungsverfahrensrecht", "name_en": "Administrative procedural law", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506" } }
+{ "name_de": "Politikwissenschaften", "name_en": "Political Science", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "5060" } }
+{ "name_de": "Politikwissenschaften", "name_en": "Political Science", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506001" } }
+{ "name_de": "Allgemeine Staatslehre", "name_en": "General theory of the state", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506002" } }
+{ "name_de": "E-Government", "name_en": "E-government", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506003" } }
+{ "name_de": "Entwicklungspolitik", "name_en": "Development policy", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506004" } }
+{ "name_de": "Europäische Integration", "name_en": "European integration", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506005" } }
+{ "name_de": "Forschungspolitik", "name_en": "Research policy", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506006" } }
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+{ "index": { "_index": "vocabs.oefos2012", "_id": "506007" } }
+{ "name_de": "Internationale Beziehungen", "name_en": "International relations", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506008" } }
+{ "name_de": "Konfliktforschung", "name_en": "Conflict research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506009" } }
+{ "name_de": "Organisationstheorie", "name_en": "Organisation theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506010" } }
+{ "name_de": "Politikfeldanalyse", "name_en": "Policy analysis", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506011" } }
+{ "name_de": "Politische Geschichte", "name_en": "Political history", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506012" } }
+{ "name_de": "Politische Systeme", "name_en": "Political systems", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506013" } }
+{ "name_de": "Politische Theorie", "name_en": "Political theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506014" } }
+{ "name_de": "Vergleichende Politikwissenschaft", "name_en": "Comparative politics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506015" } }
+{ "name_de": "Asylpolitik", "name_en": "Asylum policy", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506016" } }
+{ "name_de": "Migrationspolitik", "name_en": "Migration policy", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506017" } }
+{ "name_de": "Wissenschafts- und Technologiepolitik", "name_en": "Science and technology policy", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "506018" } }
+{ "name_de": "Terrorismusforschung", "name_en": "Terrorism research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507" } }
+{ "name_de": "Humangeographie, Regionale Geographie, Raumplanung", "name_en": "Human Geography, Regional Geography, Regional Planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "5070" } }
+{ "name_de": "Humangeographie, Regionale Geographie, Raumplanung", "name_en": "Human Geography, Regional Geography, Regional Planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507001" } }
+{ "name_de": "Angewandte Geographie", "name_en": "Applied geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507002" } }
+{ "name_de": "Bevölkerungsgeographie", "name_en": "Population geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507003" } }
+{ "name_de": "Geoinformatik", "name_en": "Geoinformatics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507004" } }
+{ "name_de": "Geschichte der Geographie", "name_en": "History of geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507005" } }
+{ "name_de": "Kulturgeographie", "name_en": "Cultural geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507006" } }
+{ "name_de": "Kulturlandschaftsforschung", "name_en": "Cultural landscape research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507007" } }
+{ "name_de": "Landesplanung", "name_en": "Land use planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507008" } }
+{ "name_de": "Landschaftsplanung", "name_en": "Landscape planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507009" } }
+{ "name_de": "Örtliche Raumplanung", "name_en": "Regional planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507010" } }
+{ "name_de": "Politische Geographie", "name_en": "Political geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507011" } }
+{ "name_de": "Raumforschung", "name_en": "Spatial research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507012" } }
+{ "name_de": "Raumordnung", "name_en": "Spatial structure", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507013" } }
+{ "name_de": "Regionale Geographie", "name_en": "Regional geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507014" } }
+{ "name_de": "Regionalentwicklung", "name_en": "Regional development", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507015" } }
+{ "name_de": "Regionalforschung", "name_en": "Regional research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507016" } }
+{ "name_de": "Regionalökonomie", "name_en": "Regional economy", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507017" } }
+{ "name_de": "Sozialgeographie", "name_en": "Social geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507018" } }
+{ "name_de": "Stadt-, Dorferneuerung", "name_en": "Urban and village renewal", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507019" } }
+{ "name_de": "Stadtentwicklungsplanung", "name_en": "Urban development planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507020" } }
+{ "name_de": "Stadtforschung", "name_en": "Urbanism", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507021" } }
+{ "name_de": "Stadtgeschichte", "name_en": "Urban history", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507022" } }
+{ "name_de": "Stadtplanung", "name_en": "Urban planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507023" } }
+{ "name_de": "Standortentwicklung", "name_en": "Location development", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507024" } }
+{ "name_de": "Umweltpolitik", "name_en": "Environmental policy", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507025" } }
+{ "name_de": "Verkehrsplanung", "name_en": "Transport planning", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507026" } }
+{ "name_de": "Wirtschaftsgeographie", "name_en": "Economic geography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507027" } }
+{ "name_de": "Nachhaltige Stadtentwicklung", "name_en": "Sustainable urban development", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507028" } }
+{ "name_de": "Kartographie", "name_en": "Cartography", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "507029" } }
+{ "name_de": "Stadtökologie", "name_en": "Urban ecology", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508" } }
+{ "name_de": "Medien- und Kommunikationswissenschaften", "name_en": "Media and Communication Sciences", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "5080" } }
+{ "name_de": "Medien- und Kommunikationswissenschaften", "name_en": "Media and Communication Sciences", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508001" } }
+{ "name_de": "Archivwesen", "name_en": "Archive studies", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508002" } }
+{ "name_de": "Audiovisuelle Medien", "name_en": "Audiovisual media", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508003" } }
+{ "name_de": "Bibliothekswissenschaft", "name_en": "Library science", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508004" } }
+{ "name_de": "Interkulturelle Kommunikation", "name_en": "Intercultural communication", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508005" } }
+{ "name_de": "Journalistik", "name_en": "Journalism", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508006" } }
+{ "name_de": "Kommunikationstheorie", "name_en": "Communication theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508007" } }
+{ "name_de": "Kommunikationswissenschaft", "name_en": "Communication science", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508008" } }
+{ "name_de": "Medienanalyse", "name_en": "Media analysis", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508009" } }
+{ "name_de": "Medienforschung", "name_en": "Media research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508010" } }
+{ "name_de": "Mediengeschichte", "name_en": "Media history", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508011" } }
+{ "name_de": "Medientheorie", "name_en": "Media theory", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508012" } }
+{ "name_de": "Medienwirkungsforschung", "name_en": "Media impact studies", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508013" } }
+{ "name_de": "Public Relations", "name_en": "Public relations", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508014" } }
+{ "name_de": "Publizistik", "name_en": "Journalism", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508015" } }
+{ "name_de": "Wirtschaftskommunikation", "name_en": "Business communication", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508016" } }
+{ "name_de": "Wissenschaftskommunikation", "name_en": "Science communication", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508017" } }
+{ "name_de": "Organisationskommunikation", "name_en": "Organisational communication", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508018" } }
+{ "name_de": "Rezeptionsforschung", "name_en": "Reception research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508019" } }
+{ "name_de": "Medienethik", "name_en": "Media ethics", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508020" } }
+{ "name_de": "Politische Kommunikation", "name_en": "Political communication", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "508021" } }
+{ "name_de": "Medienwissenschaft", "name_en": "Media studies", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509" } }
+{ "name_de": "Andere Sozialwissenschaften", "name_en": "Other Social Sciences", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "5090" } }
+{ "name_de": "Andere Sozialwissenschaften", "name_en": "Other Social Sciences", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509001" } }
+{ "name_de": "Aktionsforschung", "name_en": "Action research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509002" } }
+{ "name_de": "Disability Studies", "name_en": "Disability studies", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509003" } }
+{ "name_de": "Entwicklungszusammenarbeit", "name_en": "Development cooperation", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509004" } }
+{ "name_de": "Evaluationsforschung", "name_en": "Evaluation research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509005" } }
+{ "name_de": "Gerontologie", "name_en": "Gerontology", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509006" } }
+{ "name_de": "Geschichte der Sozialwissenschaften", "name_en": "History of social sciences", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509007" } }
+{ "name_de": "Graffiti-Forschung", "name_en": "Graffiti research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509008" } }
+{ "name_de": "Kinderforschung, Jugendforschung", "name_en": "Child research, youth research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509009" } }
+{ "name_de": "Militärstrategische Forschung", "name_en": "Military strategic research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509010" } }
+{ "name_de": "Minderheitenforschung", "name_en": "Minority research", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509011" } }
+{ "name_de": "Organisationsentwicklung", "name_en": "Organisational development", "tag": "oefos2012" }
+{ "index": { "_index": "vocabs.oefos2012", "_id": "509012" } }
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+{ "name_de": "Öffnen Sie die öffentliche LDAP-Lizenz v2.2", "name_en": "Open LDAP Public License v2.2", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
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+{ "index": { "_index": "vocabs.spdx", "_id": "RSA-MD" } }
+{ "name_de": "RSA Message-Digest-Lizenz", "name_en": "RSA Message-Digest License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "RSCPL" } }
+{ "name_de": "Öffentliche Lizenz für den Ricoh-Quellcode", "name_en": "Ricoh Source Code Public License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Ruby" } }
+{ "name_de": "Ruby-Lizenz", "name_en": "Ruby License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SAX-PD" } }
+{ "name_de": "Public-Domain-Hinweis für Saxophon", "name_en": "Sax Public Domain Notice", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Saxpath" } }
+{ "name_de": "Saxpath-Lizenz", "name_en": "Saxpath License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SCEA" } }
+{ "name_de": "SCEA Shared-Source-Lizenz", "name_en": "SCEA Shared Source License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SchemeReport" } }
+{ "name_de": "Scheme Language Report-Lizenz", "name_en": "Scheme Language Report License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Sendmail" } }
+{ "name_de": "Sendmail-Lizenz", "name_en": "Sendmail License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Sendmail-8.23" } }
+{ "name_de": "Sendmail-Lizenz 8.23", "name_en": "Sendmail License 8.23", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
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+{ "name_de": "SGI Free Software License B v1.1", "name_en": "SGI Free Software License B v1.1", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SGI-B-2.0" } }
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+{ "name_de": "Einfache öffentliche Lizenz 2.0", "name_en": "Simple Public License 2.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SISSL" } }
+{ "name_de": "Quelllizenz für Sun-Industriestandards v1.1", "name_en": "Sun Industry Standards Source License v1.1", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
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+{ "name_de": "Quelllizenz für Sun-Industriestandards v1.2", "name_en": "Sun Industry Standards Source License v1.2", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Sleepycat" } }
+{ "name_de": "Sleepycat-Lizenz", "name_en": "Sleepycat License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SMLNJ" } }
+{ "name_de": "Standard-ML-Lizenz von New Jersey", "name_en": "Standard ML of New Jersey License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SMPPL" } }
+{ "name_de": "Öffentliche Lizenz für das Secure Messaging Protocol", "name_en": "Secure Messaging Protocol Public License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SNIA" } }
+{ "name_de": "Öffentliche SNIA-Lizenz 1.1", "name_en": "SNIA Public License 1.1", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "snprintf" } }
+{ "name_de": "snprintf-Lizenz", "name_en": "snprintf License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Spencer-86" } }
+{ "name_de": "Spencer-Lizenz 86", "name_en": "Spencer License 86", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Spencer-94" } }
+{ "name_de": "Spencer-Lizenz 94", "name_en": "Spencer License 94", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Spencer-99" } }
+{ "name_de": "Spencer-Lizenz 99", "name_en": "Spencer License 99", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SPL-1.0" } }
+{ "name_de": "Öffentliche Sun-Lizenz v1.0", "name_en": "Sun Public License v1.0", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SSH-OpenSSH" } }
+{ "name_de": "SSH OpenSSH-Lizenz", "name_en": "SSH OpenSSH license", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SSH-short" } }
+{ "name_de": "SSH kurzfristig", "name_en": "SSH short notice", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SSPL-1.0" } }
+{ "name_de": "Serverseitige öffentliche Lizenz, Version 1", "name_en": "Server Side Public License, v 1", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SugarCRM-1.1.3" } }
+{ "name_de": "Öffentliche SugarCRM-Lizenz v1.1.3", "name_en": "SugarCRM Public License v1.1.3", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SunPro" } }
+{ "name_de": "SunPro-Lizenz", "name_en": "SunPro License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "SWL" } }
+{ "name_de": "Software-Lizenzvereinbarung für die Scheme Widget Library (SWL).", "name_en": "Scheme Widget Library (SWL) Software License Agreement", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Symlinks" } }
+{ "name_de": "Symlinks-Lizenz", "name_en": "Symlinks License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TAPR-OHL-1.0" } }
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+{ "index": { "_index": "vocabs.spdx", "_id": "TCL" } }
+{ "name_de": "TCL/TK-Lizenz", "name_en": "TCL/TK License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TCP-wrappers" } }
+{ "name_de": "TCP-Wrapper-Lizenz", "name_en": "TCP Wrappers License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TMate" } }
+{ "name_de": "TMate Open-Source-Lizenz", "name_en": "TMate Open Source License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TORQUE-1.1" } }
+{ "name_de": "TORQUE v2.5+ Softwarelizenz v1.1", "name_en": "TORQUE v2.5+ Software License v1.1", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TOSL" } }
+{ "name_de": "Trustster Open-Source-Lizenz", "name_en": "Trusster Open Source License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TPDL" } }
+{ "name_de": "Time::ParseDate-Lizenz", "name_en": "Time::ParseDate License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TPL-1.0" } }
+{ "name_de": "Öffentliche THOR-Lizenz 1.0", "name_en": "THOR Public License 1.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TTWL" } }
+{ "name_de": "Text-Tabs+Wrap-Lizenz", "name_en": "Text-Tabs+Wrap License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TU-Berlin-1.0" } }
+{ "name_de": "Technische Universität Berlin Lizenz 1.0", "name_en": "Technische Universitaet Berlin License 1.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "TU-Berlin-2.0" } }
+{ "name_de": "Technische Universität Berlin Lizenz 2.0", "name_en": "Technische Universitaet Berlin License 2.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "UCAR" } }
+{ "name_de": "UCAR-Lizenz", "name_en": "UCAR License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "UCL-1.0" } }
+{ "name_de": "Upstream-Kompatibilitätslizenz v1.0", "name_en": "Upstream Compatibility License v1.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Unicode-DFS-2015" } }
+{ "name_de": "Unicode-Lizenzvertrag – Datendateien und Software (2015)", "name_en": "Unicode License Agreement - Data Files and Software (2015)", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Unicode-DFS-2016" } }
+{ "name_de": "Unicode-Lizenzvertrag – Datendateien und Software (2016)", "name_en": "Unicode License Agreement - Data Files and Software (2016)", "tag": "3.20", "isfsflibre": "", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Unicode-TOU" } }
+{ "name_de": "Unicode-Nutzungsbedingungen", "name_en": "Unicode Terms of Use", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Unlicense" } }
+{ "name_de": "Die Entlizenzierung", "name_en": "The Unlicense", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "UPL-1.0" } }
+{ "name_de": "Universal Permissive License v1.0", "name_en": "Universal Permissive License v1.0", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Vim" } }
+{ "name_de": "Vim-Lizenz", "name_en": "Vim License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "VOSTROM" } }
+{ "name_de": "VOSTROM Public License für Open Source", "name_en": "VOSTROM Public License for Open Source", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "VSL-1.0" } }
+{ "name_de": "Vovida-Softwarelizenz v1.0", "name_en": "Vovida Software License v1.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "W3C" } }
+{ "name_de": "W3C-Softwarehinweis und -lizenz (2002-12-31)", "name_en": "W3C Software Notice and License (2002-12-31)", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "W3C-19980720" } }
+{ "name_de": "W3C-Softwarehinweis und -lizenz (1998-07-20)", "name_en": "W3C Software Notice and License (1998-07-20)", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "W3C-20150513" } }
+{ "name_de": "W3C-Softwarehinweis und Dokumentlizenz (2015-05-13)", "name_en": "W3C Software Notice and Document License (2015-05-13)", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "w3m" } }
+{ "name_de": "w3m-Lizenz", "name_en": "w3m License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Watcom-1.0" } }
+{ "name_de": "Sybase Open Watcom Public License 1.0", "name_en": "Sybase Open Watcom Public License 1.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Wsuipa" } }
+{ "name_de": "Wsuipa-Lizenz", "name_en": "Wsuipa License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "WTFPL" } }
+{ "name_de": "Do What the F*ck You Want to Public License", "name_en": "Do What The F*ck You Want To Public License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "X11" } }
+{ "name_de": "X11-Lizenz", "name_en": "X11 License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "X11-distribute-modifications-variant" } }
+{ "name_de": "X11-Lizenzverteilungs-Modifikationsvariante", "name_en": "X11 License Distribution Modification Variant", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Xerox" } }
+{ "name_de": "Xerox-Lizenz", "name_en": "Xerox License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "XFree86-1.1" } }
+{ "name_de": "XFree86-Lizenz 1.1", "name_en": "XFree86 License 1.1", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "xinetd" } }
+{ "name_de": "xinetd-Lizenz", "name_en": "xinetd License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "xlock" } }
+{ "name_de": "xlock-Lizenz", "name_en": "xlock License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Xnet" } }
+{ "name_de": "X.Net-Lizenz", "name_en": "X.Net License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "xpp" } }
+{ "name_de": "XPP-Lizenz", "name_en": "XPP License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "XSkat" } }
+{ "name_de": "XSkat-Lizenz", "name_en": "XSkat License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "YPL-1.0" } }
+{ "name_de": "Yahoo! Öffentliche Lizenz v1.0", "name_en": "Yahoo! Public License v1.0", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "YPL-1.1" } }
+{ "name_de": "Yahoo! Öffentliche Lizenz v1.1", "name_en": "Yahoo! Public License v1.1", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Zed" } }
+{ "name_de": "Zed-Lizenz", "name_en": "Zed License", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Zend-2.0" } }
+{ "name_de": "Zend-Lizenz v2.0", "name_en": "Zend License v2.0", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Zimbra-1.3" } }
+{ "name_de": "Öffentliche Zimbra-Lizenz v1.3", "name_en": "Zimbra Public License v1.3", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Zimbra-1.4" } }
+{ "name_de": "Öffentliche Zimbra-Lizenz v1.4", "name_en": "Zimbra Public License v1.4", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "Zlib" } }
+{ "name_de": "zlib-Lizenz", "name_en": "zlib License", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "zlib-acknowledgement" } }
+{ "name_de": "zlib/libpng-Lizenz mit Bestätigung", "name_en": "zlib/libpng License with Acknowledgement", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "ZPL-1.1" } }
+{ "name_de": "Öffentliche Zope-Lizenz 1.1", "name_en": "Zope Public License 1.1", "tag": "3.20", "isfsflibre": "", "isosiapproved": "" }
+{ "index": { "_index": "vocabs.spdx", "_id": "ZPL-2.0" } }
+{ "name_de": "Zope Public License 2.0", "name_en": "Zope Public License 2.0", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
+{ "index": { "_index": "vocabs.spdx", "_id": "ZPL-2.1" } }
+{ "name_de": "Öffentliche Zope-Lizenz 2.1", "name_en": "Zope Public License 2.1", "tag": "3.20", "isfsflibre": "Y", "isosiapproved": "Y" }
diff --git a/oeaplatform/opensearch/custom/Create-aliases_POST_repos.json b/oeaplatform/opensearch/custom/Create-aliases_POST_repos.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bf4b0063c4e49da1855960f3ae14a494b99bc2a
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-aliases_POST_repos.json
@@ -0,0 +1,53 @@
+{
+ "actions": [
+ {
+ "add": {
+ "index": "phaidra.univie.ac.at",
+ "alias": "repos"
+ }
+ },
+ {
+ "add": {
+ "index": "oer-repo.uibk.ac.at",
+ "alias": "repos"
+ }
+ },
+ {
+ "add": {
+ "index": "oer-portal.uni-graz.at",
+ "alias": "repos"
+ }
+ },
+ {
+ "add": {
+ "index": "oer.fh-salzburg.ac.at",
+ "alias": "repos"
+ }
+ },
+ {
+ "add": {
+ "index": "repository.tugraz.at",
+ "alias": "repos"
+ }
+ },
+ {
+ "add": {
+ "index": "gecko.aau.at",
+ "alias": "repos"
+ }
+ },
+ {
+ "add": {
+ "index": "door.donau-uni.ac.at",
+ "alias": "repos"
+ }
+ },
+ {
+ "add": {
+ "index": "phaidra.fh-kaernten.at",
+ "alias": "repos"
+ }
+ }
+
+ ]
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_door.donau-uni.ac.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_door.donau-uni.ac.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_door.donau-uni.ac.at.json
@@ -0,0 +1,237 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
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+ "my_asciifolding_filter": {
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+ "preserve_original": "true"
+ },
+ "my_trigrams_filter": {
+ "type": "ngram",
+ "min_gram": 3,
+ "max_gram": 3,
+ "preserve_original": "true"
+ }
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+ "analyzer": {
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+ "lowercase"
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+ "my_trigrams_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
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+ "analyzer": "german"
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+ "analyzer": "default"
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+ "analyzer": "german"
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+ "analyzer": "german"
+ },
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+ },
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+ "analyzer": "french"
+ },
+ "es": {
+ "type": "text",
+ "analyzer": "spanish"
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+ }
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+ "oea_ingest": {
+ "type": "date",
+ "format" : "yyyy-MM-dd HH:mm:ss"
+ },
+ "oea_valid": {
+ "type": "boolean"
+ },
+ "oea_unvalid_remark": {
+ "type": "text",
+ "analyzer": "standard_asciifolding"
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_gecko.aau.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_gecko.aau.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_gecko.aau.at.json
@@ -0,0 +1,237 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
+ "type": "asciifolding",
+ "preserve_original": "true"
+ },
+ "my_trigrams_filter": {
+ "type": "ngram",
+ "min_gram": 3,
+ "max_gram": 3,
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
+ "filter": [
+ "my_asciifolding_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "custom_trigrams": {
+ "type": "custom",
+ "filter": [
+ "my_trigrams_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
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+ "analyzer": "standard_asciifolding",
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+ "analyzer": "german"
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+ "type": "text",
+ "analyzer": "english"
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+ "analyzer": "french"
+ },
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+ "type": "text",
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+ "type": "date",
+ "format" : "yyyy-MM-dd HH:mm:ss"
+ },
+ "oea_valid": {
+ "type": "boolean"
+ },
+ "oea_unvalid_remark": {
+ "type": "text",
+ "analyzer": "standard_asciifolding"
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_oer-portal.uni-graz.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_oer-portal.uni-graz.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_oer-portal.uni-graz.at.json
@@ -0,0 +1,237 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
+ "type": "asciifolding",
+ "preserve_original": "true"
+ },
+ "my_trigrams_filter": {
+ "type": "ngram",
+ "min_gram": 3,
+ "max_gram": 3,
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
+ "filter": [
+ "my_asciifolding_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "custom_trigrams": {
+ "type": "custom",
+ "filter": [
+ "my_trigrams_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
+ "properties": {
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+ "analyzer": "standard_asciifolding",
+ "fields": {
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+ "analyzer": "german"
+ },
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+ "type": "text",
+ "analyzer": "english"
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+ "type": "text",
+ "analyzer": "standard_asciifolding"
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+ "type": "keyword"
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+ }
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+ "analyzer": "default"
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+ "type": "text",
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+ "type": "text",
+ "analyzer": "german"
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+ "type": "text",
+ "analyzer": "english"
+ },
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+ "analyzer": "french"
+ },
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+ "analyzer": "custom_trigrams"
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+ "properties": {
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+ "analyzer": "german"
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+ },
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+ "type": "text",
+ "analyzer": "french"
+ },
+ "es": {
+ "type": "text",
+ "analyzer": "spanish"
+ },
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+ "type": "text",
+ "analyzer": "custom_trigrams"
+ }
+ }
+ },
+ "oea_ingest": {
+ "type": "date",
+ "format" : "yyyy-MM-dd HH:mm:ss"
+ },
+ "oea_valid": {
+ "type": "boolean"
+ },
+ "oea_unvalid_remark": {
+ "type": "text",
+ "analyzer": "standard_asciifolding"
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_oer-repo.uibk.ac.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_oer-repo.uibk.ac.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_oer-repo.uibk.ac.at.json
@@ -0,0 +1,237 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
+ "type": "asciifolding",
+ "preserve_original": "true"
+ },
+ "my_trigrams_filter": {
+ "type": "ngram",
+ "min_gram": 3,
+ "max_gram": 3,
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
+ "filter": [
+ "my_asciifolding_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "custom_trigrams": {
+ "type": "custom",
+ "filter": [
+ "my_trigrams_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
+ "properties": {
+ "oea_abstract": {
+ "type": "text",
+ "analyzer": "standard_asciifolding",
+ "fields": {
+ "de": {
+ "type": "text",
+ "analyzer": "german"
+ },
+ "en": {
+ "type": "text",
+ "analyzer": "english"
+ },
+ "fr": {
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+ "analyzer": "french"
+ },
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+ "analyzer": "spanish"
+ },
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+ "type": "text",
+ "analyzer": "custom_trigrams"
+ }
+ }
+ },
+ "oea_authors": {
+ "type": "text",
+ "analyzer": "standard_asciifolding"
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+ "oea_classification_00": {
+ "type": "keyword"
+ },
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+ "type": "nested",
+ "properties": {
+ "id": {
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+ "name_de": {
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+ }
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+ "oea_classification_02": {
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+ "type": "date"
+ },
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+ "type": "nested",
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+ "id": {
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+ "name_de": {
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+ },
+ "name_en": {
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+ }
+ }
+ },
+ "oea_classification_05": {
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+ },
+ "oea_classification_06": {
+ "type": "nested",
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+ "id": {
+ "type": "keyword"
+ },
+ "name_de": {
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+ "name_en": {
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+ },
+ "tag": {
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+ }
+ }
+ },
+ "oea_object_direct_link": {
+ "type": "text",
+ "fields": {
+ "keyword": {
+ "type": "keyword",
+ "ignore_above": 256
+ }
+ },
+ "analyzer": "default"
+ },
+ "oea_title": {
+ "type": "text",
+ "analyzer": "standard_asciifolding",
+ "fields": {
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+ "type": "text",
+ "analyzer": "german"
+ },
+ "en": {
+ "type": "text",
+ "analyzer": "english"
+ },
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+ "analyzer": "french"
+ },
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+ "analyzer": "custom_trigrams"
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+ "analyzer": "german"
+ },
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+ "analyzer": "english"
+ },
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+ "type": "text",
+ "analyzer": "french"
+ },
+ "es": {
+ "type": "text",
+ "analyzer": "spanish"
+ },
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+ "type": "text",
+ "analyzer": "custom_trigrams"
+ }
+ }
+ },
+ "oea_ingest": {
+ "type": "date",
+ "format" : "yyyy-MM-dd HH:mm:ss"
+ },
+ "oea_valid": {
+ "type": "boolean"
+ },
+ "oea_unvalid_remark": {
+ "type": "text",
+ "analyzer": "standard_asciifolding"
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_oer.fh-salzburg.ac.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_oer.fh-salzburg.ac.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_oer.fh-salzburg.ac.at.json
@@ -0,0 +1,237 @@
+{
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diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_phaidra.fh-kaernten.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_phaidra.fh-kaernten.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_phaidra.fh-kaernten.at.json
@@ -0,0 +1,237 @@
+{
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+ "preserve_original": "true"
+ }
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+ "analyzer": {
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+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_phaidra.univie.ac.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_phaidra.univie.ac.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_phaidra.univie.ac.at.json
@@ -0,0 +1,237 @@
+{
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+ "format" : "yyyy-MM-dd HH:mm:ss"
+ },
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+ }
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+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_repository.tugraz.at.json b/oeaplatform/opensearch/custom/Create-index_PUT_repository.tugraz.at.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ffc920d7f6b82b63ed0625b1202c56bfdbc8d3d
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_repository.tugraz.at.json
@@ -0,0 +1,237 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
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+ "preserve_original": "true"
+ },
+ "my_trigrams_filter": {
+ "type": "ngram",
+ "min_gram": 3,
+ "max_gram": 3,
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
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+ "lowercase"
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+ "my_trigrams_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
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+ "type": "date",
+ "format" : "yyyy-MM-dd HH:mm:ss"
+ },
+ "oea_valid": {
+ "type": "boolean"
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+ "type": "text",
+ "analyzer": "standard_asciifolding"
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.iso639.json b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.iso639.json
new file mode 100644
index 0000000000000000000000000000000000000000..647a67da0317be8e50ecff82bd6fe1b971bda273
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.iso639.json
@@ -0,0 +1,52 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
+ "type": "asciifolding",
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
+ "filter": [
+ "my_asciifolding_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
+ "properties": {
+ "id": {
+ "type": "nested",
+ "properties": {
+ "name_de": {
+ "type": "keyword"
+ },
+ "name_en": {
+ "type": "keyword"
+ },
+ "name_fr": {
+ "type": "keyword"
+ },
+ "tag": {
+ "type": "keyword"
+ }
+ }
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.kim.hcrt.json b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.kim.hcrt.json
new file mode 100644
index 0000000000000000000000000000000000000000..97fbe09db40fd20aeb6307b3b077899cfcdb0fbf
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.kim.hcrt.json
@@ -0,0 +1,50 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
+ "type": "asciifolding",
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
+ "filter": [
+ "my_asciifolding_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
+ "properties": {
+ "id": {
+ "type": "nested",
+ "properties": {
+ "name_de": {
+ "type": "keyword"
+ },
+ "name_en": {
+ "type": "keyword"
+ },
+ "tag": {
+ "type": "keyword"
+ }
+ }
+ }
+ }
+ }
+}
+
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.oefos2012.json b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.oefos2012.json
new file mode 100644
index 0000000000000000000000000000000000000000..93e89b21299c876390e119077f2bb35140ea01cc
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.oefos2012.json
@@ -0,0 +1,49 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
+ "type": "asciifolding",
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
+ "filter": [
+ "my_asciifolding_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
+ "properties": {
+ "id": {
+ "type": "nested",
+ "properties": {
+ "name_de": {
+ "type": "keyword"
+ },
+ "name_en": {
+ "type": "keyword"
+ },
+ "tag": {
+ "type": "keyword"
+ }
+ }
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.spdx.json b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.spdx.json
new file mode 100644
index 0000000000000000000000000000000000000000..83b1ab11e740ae247cdcfdc3b93c260f72c12393
--- /dev/null
+++ b/oeaplatform/opensearch/custom/Create-index_PUT_vocabs.spdx.json
@@ -0,0 +1,55 @@
+{
+ "settings": {
+ "index": {
+ "number_of_shards": "1",
+ "auto_expand_replicas": "0-all",
+ "analysis": {
+ "filter": {
+ "my_asciifolding_filter": {
+ "type": "asciifolding",
+ "preserve_original": "true"
+ }
+ },
+ "analyzer": {
+ "default_search": {
+ "type": "whitespace"
+ },
+ "standard_asciifolding": {
+ "filter": [
+ "my_asciifolding_filter",
+ "lowercase"
+ ],
+ "tokenizer": "standard"
+ },
+ "default": {
+ "type": "standard"
+ }
+ }
+ }
+ }
+ },
+ "mappings": {
+ "properties": {
+ "id": {
+ "type": "nested",
+ "properties": {
+ "name_de": {
+ "type": "keyword"
+ },
+ "name_en": {
+ "type": "keyword"
+ },
+ "isfsflibre": {
+ "type": "keyword"
+ },
+ "isosiapproved": {
+ "type": "keyword"
+ },
+ "tag": {
+ "type": "keyword"
+ }
+ }
+ }
+ }
+ }
+}
diff --git a/oeaplatform/opensearch/custom/build_fresh_index.sh b/oeaplatform/opensearch/custom/build_fresh_index.sh
new file mode 100755
index 0000000000000000000000000000000000000000..bfbb557194b4b3c9896179308bcd9e688d97adbf
--- /dev/null
+++ b/oeaplatform/opensearch/custom/build_fresh_index.sh
@@ -0,0 +1,15 @@
+#!/bin/bash
+
+Indices="oer-portal.uni-graz.at oer-repo.uibk.ac.at oer.fh-salzburg.ac.at phaidra.univie.ac.at repository.tugraz.at gecko.aau.at door.donau-uni.ac.at phaidra.fh-kaernten.at vocabs.iso639 vocabs.kim.hcrt vocabs.oefos2012 vocabs.spdx"
+Bulks="vocabs.iso639 vocabs.kim.hcrt vocabs.oefos2012 vocabs.spdx"
+
+for Index in $Indices ; do
+ curl -XPUT -H "Content-Type: application/json" http://index:9200/$Index --data-binary "@Create-index_PUT_$Index.json"
+done
+
+for Bulk in $Bulks ; do
+ curl -XPOST -H "Content-Type: application/json" http://index:9200/_bulk --data-binary "@Bulk-index_POST_$Bulk.json"
+done
+
+curl -XPOST -H "Content-Type: application/json" http://index:9200/_aliases --data-binary "@Create-aliases_POST_repos.json"
+
diff --git a/oeaplatform/rabbitmq/Dockerfile b/oeaplatform/rabbitmq/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..02d9a63b167e09913c58f14767f59c459dbde15e
--- /dev/null
+++ b/oeaplatform/rabbitmq/Dockerfile
@@ -0,0 +1,83 @@
+ARG DOCKER_REG="" \
+ OS_DISTRO="ubuntu" \
+ OS_RELEASE="noble-20250127" \
+ OC_CREATED \
+ APP_VERSION="4.0.5" \
+ APP_ERL_VERSION="27.2"
+# Remark DOCKER_REG has to end with / if specified
+
+FROM ${DOCKER_REG}${OS_DISTRO}:${OS_RELEASE} AS osbase
+
+## prepare
+# arg
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && apt-get -y install tzdata
+
+FROM osbase AS rabbitmq
+ARG OS_RELEASE \
+ APP_VERSION \
+ APP_ERL_VERSION \
+ OC_CREATED
+LABEL org.opencontainers.image.title=rabbitmq \
+ org.opencontainers.image.vendor=UniVie \
+ org.opencontainers.image.authors=pt \
+ org.opencontainers.image.version=${APP_VERSION}_${OS_RELEASE} \
+ org.opencontainers.image.created=${OC_CREATED}
+# env
+ENV ES_SKIP_SET_KERNEL_PARAMETERS=true
+
+## install
+# necessities: enable https transport, lsb-release, wget
+RUN apt-get update && apt-get -y install apt-transport-https lsb-release wget gnupg debian-keyring debian-archive-keyring curl
+# user
+RUN groupadd -r -g 9000 rabbitmq && useradd -r -u 9000 -g 9000 -d /var/lib/rabbitmq rabbitmq
+# erlang-nox, rabbitmq-server, rabbitmqadmin
+ENV ERLANG_VERSION=1:${APP_ERL_VERSION}
+ENV RABBITMQ_VERSION=${APP_VERSION}
+
+## Team RabbitMQ's main signing key
+RUN curl -1sLf "https://keys.openpgp.org/vks/v1/by-fingerprint/0A9AF2115F4687BD29803A206B73A36E6026DFCA" | gpg --dearmor | tee /usr/share/keyrings/com.rabbitmq.team.gpg > /dev/null
+
+## Cloudsmith: modern Erlang repository
+RUN curl -1sLf https://dl.cloudsmith.io/public/rabbitmq/rabbitmq-erlang/gpg.E495BB49CC4BBE5B.key | gpg --dearmor | tee /usr/share/keyrings/io.cloudsmith.rabbitmq.E495BB49CC4BBE5B.gpg > /dev/null
+
+## Cloudsmith: RabbitMQ repository
+RUN curl -1sLf https://dl.cloudsmith.io/public/rabbitmq/rabbitmq-server/gpg.9F4587F226208342.key | gpg --dearmor | tee /usr/share/keyrings/io.cloudsmith.rabbitmq.9F4587F226208342.gpg > /dev/null
+
+## Provides modern Erlang/OTP releases
+RUN echo "deb [signed-by=/usr/share/keyrings/io.cloudsmith.rabbitmq.E495BB49CC4BBE5B.gpg] https://dl.cloudsmith.io/public/rabbitmq/rabbitmq-erlang/deb/ubuntu $(lsb_release -cs) main" | tee -a /etc/apt/sources.list.d/rabbitmq.list
+RUN echo "deb-src [signed-by=/usr/share/keyrings/io.cloudsmith.rabbitmq.E495BB49CC4BBE5B.gpg] https://dl.cloudsmith.io/public/rabbitmq/rabbitmq-erlang/deb/ubuntu $(lsb_release -cs) main" | tee -a /etc/apt/sources.list.d/rabbitmq.list
+
+## Provides RabbitMQ
+RUN echo "deb [signed-by=/usr/share/keyrings/io.cloudsmith.rabbitmq.9F4587F226208342.gpg] https://dl.cloudsmith.io/public/rabbitmq/rabbitmq-server/deb/ubuntu $(lsb_release -cs) main" | tee -a /etc/apt/sources.list.d/rabbitmq.list
+RUN echo "deb-src [signed-by=/usr/share/keyrings/io.cloudsmith.rabbitmq.9F4587F226208342.gpg] https://dl.cloudsmith.io/public/rabbitmq/rabbitmq-server/deb/ubuntu $(lsb_release -cs) main" | tee -a /etc/apt/sources.list.d/rabbitmq.list
+
+
+# RUN apt-get update -y && apt-get install -y erlang-nox=${ERLANG_VERSION}-1 rabbitmq-server=${RABBITMQ_VERSION}-1 --fix-missing
+# need to specify each erlang package with specific version
+RUN apt-get update -y && apt-get install -y --allow-downgrades erlang-base=${ERLANG_VERSION}-1 erlang-xmerl=${ERLANG_VERSION}-1 erlang-syntax-tools=${ERLANG_VERSION}-1 erlang-eunit=${ERLANG_VERSION}-1 erlang-parsetools=${ERLANG_VERSION}-1 erlang-asn1=${ERLANG_VERSION}-1 erlang-tftp=${ERLANG_VERSION}-1 erlang-mnesia=${ERLANG_VERSION}-1 erlang-crypto=${ERLANG_VERSION}-1 erlang-runtime-tools=${ERLANG_VERSION}-1 erlang-odbc=${ERLANG_VERSION}-1 erlang-tools=${ERLANG_VERSION}-1 erlang-snmp=${ERLANG_VERSION}-1 erlang-public-key=${ERLANG_VERSION}-1 erlang-ssh=${ERLANG_VERSION}-1 erlang-ssl=${ERLANG_VERSION}-1 erlang-diameter=${ERLANG_VERSION}-1 erlang-os-mon=${ERLANG_VERSION}-1 erlang-eldap=${ERLANG_VERSION}-1 erlang-ftp=${ERLANG_VERSION}-1 erlang-inets=${ERLANG_VERSION}-1 erlang-edoc=${ERLANG_VERSION}-1 erlang-erl-docgen=${ERLANG_VERSION}-1 erlang-nox=${ERLANG_VERSION}-1
+RUN apt-get install -y rabbitmq-server=${RABBITMQ_VERSION}-1 --fix-missing
+ADD https://raw.githubusercontent.com/rabbitmq/rabbitmq-server/v${RABBITMQ_VERSION}/deps/rabbitmq_management/bin/rabbitmqadmin /opt
+
+## remove
+RUN apt-get remove --purge -y wget lsb-release apt-transport-https gnupg debian-keyring debian-archive-keyring \
+ && rm -rfv /var/lib/apt/lists/*
+
+## config
+# locales
+ENV LANG=C.UTF-8
+# rabbitmq-server
+COPY config/rabbitmq.conf /etc/rabbitmq/rabbitmq.conf
+RUN chown rabbitmq:rabbitmq /etc/rabbitmq/rabbitmq.conf && chmod 644 /etc/rabbitmq/rabbitmq.conf
+# rabbitmq-plugins
+RUN rabbitmq-plugins enable --offline rabbitmq_management
+# rabbitmqadmin
+RUN chown rabbitmq:rabbitmq /opt/rabbitmqadmin && chmod 644 /opt/rabbitmqadmin
+USER rabbitmq
+
+## host storage
+VOLUME /var/log/rabbitmq
+VOLUME /var/lib/rabbitmq
+
+## run
+CMD ["rabbitmq-server"]
diff --git a/oeaplatform/rabbitmq/config/definitions.json.tmpl b/oeaplatform/rabbitmq/config/definitions.json.tmpl
new file mode 100644
index 0000000000000000000000000000000000000000..a0265256dbb7c6702e29a9d4d47137a3a24a2a44
--- /dev/null
+++ b/oeaplatform/rabbitmq/config/definitions.json.tmpl
@@ -0,0 +1,51 @@
+{
+ "permissions" : [
+ {
+ "user" : "admin",
+ "vhost" : "/",
+ "configure" : ".*",
+ "write" : ".*",
+ "read" : ".*"
+ },
+ {
+ "user" : "producer",
+ "vhost" : "/",
+ "configure" : "^$",
+ "write" : ".*",
+ "read" : "^$"
+ },
+ {
+ "user" : "consumer",
+ "vhost" : "/",
+ "configure" : "^$",
+ "write" : "^$",
+ "read" : ".*"
+ }
+ ],
+ "users" : [
+ {
+ "name" : "admin",
+ "hashing_algorithm" : "rabbit_password_hashing_sha256",
+ "password_hash" : "${RABBITMQ_ADMIN_PASSWORD_HASH}",
+ "tags" : "administrator"
+ },
+ {
+ "name" : "producer",
+ "hashing_algorithm" : "rabbit_password_hashing_sha256",
+ "password_hash" : "${RABBITMQ_PRODUCER_PASSWORD_HASH}",
+ "tags" : ""
+ },
+ {
+ "name" : "consumer",
+ "hashing_algorithm" : "rabbit_password_hashing_sha256",
+ "password_hash" : "${RABBITMQ_CONSUMER_PASSWORD_HASH}",
+ "tags" : ""
+ }
+ ],
+ "vhosts" : [
+ {
+ "name" : "/"
+ }
+ ]
+}
+
diff --git a/oeaplatform/rabbitmq/config/rabbitmq.conf b/oeaplatform/rabbitmq/config/rabbitmq.conf
new file mode 100644
index 0000000000000000000000000000000000000000..5d7f4610e9c4e0ada28c2f7c82d4a195e479e18b
--- /dev/null
+++ b/oeaplatform/rabbitmq/config/rabbitmq.conf
@@ -0,0 +1,3 @@
+# preload definitions
+management.load_definitions = /etc/rabbitmq/definitions.json
+
diff --git a/oeaplatform/rebuild.sh b/oeaplatform/rebuild.sh
new file mode 100755
index 0000000000000000000000000000000000000000..0df5a9db360239d04dabb95c7a4164c9a2a3adc8
--- /dev/null
+++ b/oeaplatform/rebuild.sh
@@ -0,0 +1,51 @@
+#!/bin/bash
+
+export DOCKER_REGISTRY=localhost:5443
+export DOCKER_BUILDDATE=`date +%Y-%m-%d`
+OEA_TAG=current
+OEA_VERSIONNR=1.0.0.00-ce
+OEA_SERVICE=oeaplatform
+
+rebuild() {
+ local OEA_IMAGE=$1
+ allowedImages="stats metaingest metaharvest index frontend-client frontend-server webserver mq"
+ for allowedImage in $allowedImages ; do
+ if [ "$OEA_IMAGE" == "$allowedImage" ]
+ then
+ echo "Start proceeding Image \"$OEA_IMAGE\" ..."
+ docker stack rm oeaplatform
+ TAG=`date +%Y-%m-%dT%H.%M.%S` && docker compose -f docker-compose.yml build --no-cache --pull $OEA_IMAGE
+ ID=`docker images -q $DOCKER_REGISTRY/$OEA_IMAGE:$OEA_TAG`
+ docker tag $ID $OEA_IMAGE:$TAG
+ docker push $DOCKER_REGISTRY/$OEA_IMAGE:$OEA_TAG
+ docker tag $ID $DOCKER_REGISTRY/$OEA_IMAGE:$OEA_VERSIONNR
+ docker push $DOCKER_REGISTRY/$OEA_IMAGE:$OEA_VERSIONNR
+ docker stack deploy --detach=true --prune --with-registry-auth -c docker-compose.yml $OEA_SERVICE
+ fi
+ done
+ echo "Finished"
+}
+
+purge() {
+ docker rmi $(docker images -f "dangling=true" -q)
+ docker rmi --force $(docker images|grep none|awk '{print $3}')
+}
+
+usage() {
+ echo "Use: [OPTION] <image_name>"
+ echo "Possible options are: "
+ echo " -h: this help"
+ echo " -l: list of images"
+ echo " -b <image_name>: build the image"
+ echo " -r: removes images with tag <none> and cleans dangling images"
+}
+
+while getopts ':hlrb:' OPTION ; do
+ case "$OPTION" in
+ b) rebuild $OPTARG ;;
+ r) purge;;
+ h) usage;;
+ l) echo "stats (=opensearch-dashboards), metaingest, metaharvest, index (=opensearch), frontend-client, frontend-server, webserver, mq";;
+ *) echo "Unknown parameter"
+ esac
+done
diff --git a/version.md b/version.md
new file mode 100644
index 0000000000000000000000000000000000000000..8a2bf0b0d463bc8b5f78e317b46335353d615ca3
--- /dev/null
+++ b/version.md
@@ -0,0 +1,6 @@
+# Version
+
+| Version | Date | Remarks |
+|-----------|------------|-------------------------------------------------------------------------------------------|
+| v1.0.0.00 | 2025.02.20 | oerhub community edition (ce) is based on v2.1.3.00 production |
+