The team from the Gdansk University of Technology Library and IT Center carried out a FAIRness assessment of datasets from their institutional multidisciplinary research data repository using the F-UJI tool with two goals in mind: increasing the FAIRness of the repository and learning about a tool that could be used to teach Ph.D. students about FAIR data and FAIRness assessments practically and visually.

"The support action call arrived perfectly as I updated my open science course for PhD students. This is a mandatory course for our students and has a module on open research data, which includes data management plans and how to deposit research data in our repository. After having recently participated in other calls for EOSC and RDA about increasing the interoperability of research data, I was looking to incorporate information about FAIR data and FAIRness assessment into the training program.  [...] I decided to participate in the support action with one of the developers, as FAIRness is not only about the dataset but also the infrastructure, how the metadata is harvested, etc. We wanted to increase the FAIRness of our research data objects and gain knowledge on the tools that help scientists, repository managers, and other stakeholders do this. However, each of us had slightly different aims. I had in mind to find a service or tool I could include in the Ph.D. training as a practical demonstration for students and get a good understanding of that tool. He wanted to improve the FAIRness of our research data repository."

----------

Supported applicant: Magdalena Szuflita-Żurawska | Gdansk University of Technology Library
FAIR-IMPACT Support: Clara Linés | Digital Curation Centre (DCC)