Descripción
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The FAIR Principles1 (https://doi.org/10.25504/FAIRsharing.WWI10U) provide guidelines for the publication of digital resources such as datasets, code, workflows, and research objects, in a manner that makes them Findable, Accessible, Interoperable, and Reusable (FAIR). The Principles have rapidly been adopted by publishers, funders, and pan-disciplinary infrastructure programmes and societies. The Principles are aspirational, in that they do not strictly define how to achieve a state of "FAIRness", but rather they describe a continuum of features, attributes, and behaviors that will move a digital resource closer to that goal. This ambiguity has led to a wide range of interpretations of FAIRness, with some resources even claiming to already "be FAIR"! The increasing number of such statements, the emergence of subjective and self-assessments of FAIRness2,3, and the need of data and service providers, journals, funding agencies, and regulatory bodies to qualitatively or quantitatively evaluate such claims, led us to self-assemble and establish a FAIR Metrics group (http://fairmetrics.org) to pursue the goal of defining ways to measure FAIRness. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Scientific Data |
ISSN
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2052-4463 |
Factor de impacto JCR
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5,305 |
Información de impacto
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Volumen
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5 |
DOI
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10.1038/sdata.2018.118 |
Número de revista
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Desde la página
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180118 |
Hasta la página
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180118 |
Mes
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SIN MES |
Ranking
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