FAIRness Asssement Challenge
A team from the Medical University of Gdansk (MUG) Main Library increased the FAIRness and machine readability of their repository datasets with the help of the F-UJI tool.
We assessed the FAIRness of two different datasets in our repository using F-UJI. Both datasets were described with the RDF metadata, and one had a PID and one did not, for comparison. However, both initial assessment scores were very low (35% and 4%).
Supported applicant: Jakub Rusakow, Joanna Osika, Paulina Biczkowska | Medical University of Gdansk Main Library
FAIR-IMPACT Support: Clara Linés and Agnes Jasinska | Digital Curation Centre (DCC)
