One of the two support activities of the FAIR-IMPACT open call project aims to expand the use of FAIR-enabling solutions across the European Open Science Cloud (EOSC) and beyond. The remit of two defined support actions designed to enhance the FAIRness of data, semantic artefacts and data-related services.
Context and actions details
Building on the successful "FAIRness hackathon approach" that was used by the French agri-food project FooSIN as well as on the FAIRsFAIR iterative FAIR pilot assessment and consultation experience, this targeted support action will help a cohort of dataset providers or semantic artefact developers to self-assess the level of FAIRness of their resources (datasets, semantic artefacts, or any collections of those) with several FAIRness assessment tools and methods put at their disposal by FAIR-IMPACT. Participants take part in a joint challenge during which they will be supported to employ a variety of assessment tools, including F-UJI, O’FAIRe and FOOPS, and methods such as the FAIR Data Maturity Model (FDMM) and the "Ten simple rules for FAIR vocabularies".
The objective for all participants will be to maximise the FAIRness of their own resources as expressed by the scores obtained using these tools.
More information The list of participants
The publication “F-UJI for FAIRness assessment and PhD training at Gdansk University of Technology Library” presents the primary goal of participating in the project and its impact.
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