Evaluating FAIR maturity through a scalable, automated, community-governed framework.

ABSTRACT: 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 specifications that delimit a specific automatically-measurable FAIR behavior; (2) Compliance Tests - small Web apps that test digital resources against individual Maturity Indicators; and (3) the Evaluator, a Web application that registers, assembles, and applies community-relevant sets of Compliance Te

SUBMITTER: Wilkinson MD 

PROVIDER: S-EPMC6754447 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature