2016
DOI: 10.1038/sdata.2016.18
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The FAIR Guiding Principles for scientific data management and stewardship

Abstract: There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scho… Show more

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Cited by 9,859 publications
(7,355 citation statements)
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References 29 publications
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“…FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable 6 .…”
Section: Methodsmentioning
confidence: 99%
“…FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable 6 .…”
Section: Methodsmentioning
confidence: 99%
“…Archiving data in repositories, or publishing them in an article form in the data journals, are two of the best venues to achieve long-term, findable, accessible, interoperable, and reusable data (FAIR data 6,11,20,21 ). The Registry of Research Data Repositories (http://re3Data.org) currently lists more than 3,500 data repositories, out of which around 2,000 are classified under natural and life sciences.…”
Section: A Scattered Landscape Of Open Data In Ecologymentioning
confidence: 99%
“…We opted for an ontology that represents the characteristics of EcoEvo data sets of a data source in terms of the FAIR principles of data stewardship 20 (also see Box 1).…”
Section: Fairness Of Data Source Ecoevo Data Setsmentioning
confidence: 99%
“…All parties mentioned above have been engaging in the European GO-FAIR ( https://www.dtls.nl/go-fair/) initiative through their participation in PhenoMeNal, which has recently been co-organising the launch of a hub for FAIR metabolomics data in goFAIR. The FAIR data movement has gained considerable momentum in Europe, where FAIR 33 stands for data being Findable, Accessible, Interoperable and Reusable.…”
Section: Alignment With Elixir Platformsmentioning
confidence: 99%
“…Leading to the establishment of the worldwide metabolomeXchange network, COSMOS paved the way for PhenoMeNal. As a core organiser of the launch of the node for FAIR data 33 in metabolomics as part of the goFAIR initiative, the PhenoMeNal consortium made another necessary step to establish itself as an authority for metabolomics data ELIXIR Greece has included a computational metabolomics and protein interactomics Use Case, including the formation of standardized integrated metabolomic and proteomic databases and the evolvement of tools for combined metabolic and protein network analysis, in the strategic planning of its national infrastructure management and processing for the European Open Science Cloud (EOSC).…”
Section: Alignment With Elixir Use Casesmentioning
confidence: 99%