FAIRness Asssement Challenge
A team involved in the Generations and Gender Programme tested F-UJI, FDMM and SHARC to assess the FAIRness of their longitudinal panel survey dataset..
"We tried a tool, F-UJI, and two methods: FDMM and SHARC. Using the F-UJI tool, we initially obtained a very low level of FAIRness (4%). We hypothesized three possible reasons for this low score: the F-UJI tool's sensitivity to the software we use to develop our catalogue (Colectica), the lack of persistent identifiers such as DOI for our datasets and metadata files, and the type of DDI version we use (DDI version 3.3)."
Supported applicant: Arianna Caporali | French Institute for Demographic Studies (INED) and Generations and Gender Programme (GGP), Olga Grünwald | Netherlands Interdisciplinary Demographic Institute and Generations and Gender Programme (GGP)
FAIR-IMPACT Support: Clara Linés | Digital Curation Centre (DCC)
