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Evaluating FAIR Maturity Through a Scalable, Automated, Community-Governed Framework
[article]
2019
bioRxiv
pre-print
Transparent evaluations of FAIRness are increasingly required by a wide range of stakeholders, from scientists to publishers, funding agencies and policy makers. We propose a scalable, automatable framework to evaluate digital resources that encompasses measurable indicators, open source tools, and participation guidelines, which come together to accommodate domain relevant community-defined FAIR assessments. The components of the framework are: (1) Maturity Indicators - community-authored
doi:10.1101/649202
fatcat:y25vyuyu5zfddc6v7zn5p4anuq