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D2.4 FAIR Cookbook - Public Version
FAIRplus seeks to establish 'FAIRification' processes that can be used at scale to ensure FAIRness of IMI data. The FAIR Cookbook aims to collate protocols for making data FAIR: Findable, Accessible, Interoperable, Reusable. This includes how to FAIRify a number of exemplar datasets, putting the FAIR principles in practice; basic knowledge of what makes data more or less FAIR; understand levels and indicators of FAIRness, and the corresponding maturity model; how to apply the technologies anddoi:10.5281/zenodo.3924476 fatcat:mq2ks3mvcfdldogdprebsf43ka