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Wilkinson, Mark Denis and Sansone, Susanna-Assunta and Schultes, Erik and Doorn, Peter and Bonino Da Silva Santos, Luiz Olavo and Dumontier, Michel (2018). A Design Framework and Exemplar Metrics for FAIRness. "Scientific Data", v. 5 ; p. 180118. ISSN 2052-4463. https://doi.org/10.1038/sdata.2018.118.
Title: | A Design Framework and Exemplar Metrics for FAIRness |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Scientific Data |
Date: | June 2018 |
ISSN: | 2052-4463 |
Volume: | 5 |
Subjects: | |
Faculty: | Centro de Investigación en Biotecnología y Genómica de Plantas (CBGP) (UPM) |
Department: | Biotecnología - Biología Vegetal |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The FAIR Principles 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 to pursue the goal of defining ways to measure FAIRness.
Type | Code | Acronym | Leader | Title |
---|---|---|---|---|
Government of Spain | TIN2014-55993-R | Unspecified | Unspecified | Calidad y confianza de procedencia en e-Ciencia |
Horizon 2020 | 634107 | MULTIMOT | Unspecified | Capture, dissemination and analysis of multiscale cell migration data for biological and clinical applications |
Horizon 2020 | 654241 | PhenoMeNal | Unspecified | PhenoMeNal: A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data |
Horizon 2020 | 676559 | ELIXIR-EXCELERATE | Unspecified | Fast-track ELIXIR implementation and drive early user exploitation across the life-sciences |
Item ID: | 54822 |
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DC Identifier: | http://oa.upm.es/54822/ |
OAI Identifier: | oai:oa.upm.es:54822 |
DOI: | 10.1038/sdata.2018.118 |
Official URL: | https://www.nature.com/articles/sdata2018118 |
Deposited by: | Memoria Investigacion |
Deposited on: | 13 May 2019 12:27 |
Last Modified: | 13 May 2019 12:27 |