author: Martin WeiseDBRepo
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Documentation for version: v1.5.3.
DBRepo is a repository for data in databases that are used from the beginning until the end of a research project supporting data evolution, -citation and -versioning. It implements the query store of the RDA WGDC on precisely identifying arbitrary subsets of data.
Why use DBRepo?
- Built-in search makes your dataset searchable without extra effort: most metadata is generated automatically for data in your databases.
- Citable datasets adopting the recommendations of the RDA-WGDC, arbitrary subsets can be precisely, persistently identified using system-versioned tables of MariaDB and the DataCite schema for minting DOIs.
- Powerful API for Data Scientists with our strongly typed Python Library, Data Scientists can import, export and work with data from Jupyter Notebook or Python script, optionally using Pandas DataFrames.
- Cloud Native our lightweight Helm chart allows for installations on any cloud provider or private-cloud setting that has an underlying PV storage provider.
Installing DBRepo is very easy or give it a try online{ target="_blank" }.
Who is using DBRepo?
- TU Wien
- TU Graz
- TU Darmstadt
- Universität Hamburg
- Universiti Teknikal Malaysia Melaka
- University of the Philippines
- Universiti Sains Malaysia
How can I try DBRepo?
There's a hosted demo environment maintained by DS-IFS where you can explore DBRepo without installing it locally.
:fontawesome-solid-flask: Demo Environment{ .md-button .md-button--primary target="_blank" }