Oxford University Research Archive (ORA) (University of Oxford) · 2022 · 10 citations · 0 references
ComputingBiomedical InformaticsData ScienceData AnalyticsData EthicsData ManagementAlgorithmic FairnessData CurationData ProvenanceData QualityEthical Data UseCapability GapsData Stewardship PolicyFair Data CollectionFair Data UseFairnessFairness AnalysisFairness In Data ScienceMaturity Model Design
Nowadays, the FAIR Principles guide data policy actions and professional practices in the public and private sectors. However, despite such global endorsements, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the FAIR Cookbook, an online resource of hands-on recipes for “FAIR doers” in the Life Sciences. Launched in 2020, and created by researchers and data managers professionals in academia, pharmas and information service industries, the <strong>FAIR Cookbook</strong> covers the key steps in a FAIRification journey, the levels and indicators of FAIRness, the maturity model, the technologies, the tools and the standards available, as well as the skills required, and the challenges to achieve and improve data FAIRness. In this pre-print, we present the FAIR Cookbook, its creation and content, its value, use and adoptions, as well as the participatory process, collaborative plans for sustainability, and its adoption. The full list of FAIR Cookbook Recipes’ Authors is here.<em> </em>