FAIR in Practice: evaluación de los principios FAIR para datasets de Investigación

Gómez, Alicia Fátima

Publication:
FAIR in Practice: evaluación de los principios FAIR para datasets de Investigación

dc.contributor.author	Gómez, Alicia Fátima
dc.contributor.ror	https://ror.org/02jjdwm75
dc.date.accessioned	2025-02-26T11:45:38Z
dc.date.available	2025-02-26T11:45:38Z
dc.date.issued	2025-02-26
dc.description.abstract	This content explores the practical implementation of FAIR principles—ensuring research data is findable, accessible, interoperable, and reusable. It outlines different levels of FAIR maturity and highlights the importance of metadata quality, licensing, and repository standards. A range of tools and platforms are presented to help researchers assess and improve the FAIRness of their datasets, including automated evaluation services and self-assessment resources. It also includes templates and guidelines for describing research data to facilitate better sharing and reuse across scientific communities.
dc.description.peerreviewed	yes
dc.description.status	Published
dc.format	application/pdf
dc.identifier.citation	Gómez, A.F. (2025) FAIR in Practice
dc.identifier.uri	https://hdl.handle.net/20.500.14417/3603
dc.language.iso	en
dc.language.iso	esp
dc.relation.entity	IE Foundation
dc.rights	Attribution-ShareaAlike 4.0 International
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.subject.keyword	FAIR principles
dc.title	FAIR in Practice: evaluación de los principios FAIR para datasets de Investigación
dc.type	info:eu-repo/semantics/conferenceObject
dc.version.type	info:eu-repo/semantics/publishedVersion
dspace.entity.type	Publication
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