Memorias de investigación
Artículos en revistas:
A Design Framework and Exemplar Metrics for FAIRness
Año:2018
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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
Si
JCR del ISI
Si
Título de la revista
Scientific Data
ISSN
2052-4463
Factor de impacto JCR
5,305
Información de impacto
Volumen
5
DOI
10.1038/sdata.2018.118
Número de revista
Desde la página
180118
Hasta la página
180118
Mes
SIN MES
Ranking
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Participantes
  • Autor: Mark Denis Wilkinson UPM
  • Autor: Susanna-Assunta Sansone University of Oxford
  • Autor: Erik Schultes Dutch Techcentre for Life Sciences
  • Autor: Peter Doorn Data Archiving and Networked Services
  • Autor: Luiz Olavo Bonino da Silva Santos GO FAIR International Support and Coordination Office
  • Autor: Michel Dumontier Maastricht University
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: BIOLOGÍA MOLECULAR Y COMPUTACIONAL
  • Centro o Instituto I+D+i: Centro de Biotecnología y Genómica de Plantas, CBGP
  • Departamento: Biotecnología - Biología Vegetal