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

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...

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Detalhes bibliográficos
Publicado no:Sci Data
Main Authors: Wilkinson, Mark D., Dumontier, Michel, Sansone, Susanna-Assunta, Bonino da Silva Santos, Luiz Olavo, Prieto, Mario, Batista, Dominique, McQuilton, Peter, Kuhn, Tobias, Rocca-Serra, Philippe, Crosas, Mercѐ, Schultes, Erik
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6754447/
https://ncbi.nlm.nih.gov/pubmed/31541130
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-019-0184-5
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