A team from Radboud University’s Research Data Repository used FDMM and F-UJI to assess the FAIRness of their service and as a starting point to create an action plan to improve it.
We selected two open access datasets from the RDR’s collection for the assessment. We prioritised open access datasets as we consider it is more important to make those FAIR.
We got a moderate score for both datasets in F-UJI (62%). Findable (full score) and Accessible (moderate score) were good, Interoperable and Reusable appeared as less well developed, which makes sense because we are a generalist repository, and it is difficult to focus on the interoperability and reusability aspects. We got some feedback from the mentor on how to improve those aspects. Some points highlighted were that we need to complete the information in our metadata export via schema.org3 in the html header of our dataset’s landing page, and in our DataCite4 metadata export, which we do by registering the DOI via DataCite.
Supported applicant: Didi Lamer | Radboud University
FAIR-IMPACT Support: Clara Linés | Digital Curation Centre (DCC), Samantha Willemsen |DANS
