FAIRness assessment as a catalyst of chemistry research repository transformation in Germany
Creators
Description
A team from FIZ Karlsruhe - Leibniz Institute for Information Infrastructure used F-UJI to assess the FAIRness of representative datasets from the RADAR4Chem repository, which helped them identify some improvements and inspired them to include a FAIRness check functionality in their repository.
In this support action, we decided to use F-UJI again to assess the FAIRness of selected datasets published in RADAR4Chem as representative of the FAIRness of the repository infrastructure, for continuity with the European Research Data Landscape study. We also selected F-UJI because it is well known in the community, easy to implement for data repositories, data providers and data users, and the source code and documentation are available on GitHub, which proved helpful when interpreting the messages from F-UJI.
Supported applicant: Kerstin Soltau, Stefan Hofmann | FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
FAIR-IMPACT Support: Clara Linés and Agnes Jasinska | Digital Curation Centre (DCC)
Files
FI_ImplementationStory_79_Jul2024.pdf
Files
(3.9 MB)
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