WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges

Autores
Hodson, Simon
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
First published in 2016, in an article that has now received over 6000 citations, the FAIR (Findability, Accessibility, Interoperability, Reusability) Principles have had a significant influence in policy, practice and thinking about research data management and stewardship. The catchy mnemonic has been effective, but the article and related work convey an important message. The fundamental purpose of the FAIR principles is to provide guidelines such that data and metadata relevant to all kinds of research outputs are machine readable and machine actionable. The vision is one in which research outputs can be visited online and at vast scale and the potential of machine assisted analysis can be realised, but with data and metadata that are sufficiently reliable so as to reduce error and quantify uncertainty.
Ibero-American Science and Technology Education Consortium
Materia
Informática
FAIR principles
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/166799
Acceder
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spelling WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand ChallengesHodson, SimonInformáticaFAIR principlesFirst published in 2016, in an article that has now received over 6000 citations, the FAIR (Findability, Accessibility, Interoperability, Reusability) Principles have had a significant influence in policy, practice and thinking about research data management and stewardship. The catchy mnemonic has been effective, but the article and related work convey an important message. The fundamental purpose of the FAIR principles is to provide guidelines such that data and metadata relevant to all kinds of research outputs are machine readable and machine actionable. The vision is one in which research outputs can be visited online and at vast scale and the potential of machine assisted analysis can be realised, but with data and metadata that are sufficiently reliable so as to reduce error and quantify uncertainty.Ibero-American Science and Technology Education Consortium2023info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf15-16http://sedici.unlp.edu.ar/handle/10915/166799enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2375-2info:eu-repo/semantics/reference/hdl/10915/166184info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-29T15:49:29Zoai:sedici.unlp.edu.ar:10915/166799Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-29 15:49:29.974SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
title WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
spellingShingle WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
Hodson, Simon
Informática
FAIR principles
title_short WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
title_full WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
title_fullStr WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
title_full_unstemmed WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
title_sort WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
dc.creator.none.fl_str_mv Hodson, Simon
author Hodson, Simon
author_facet Hodson, Simon
author_role author
dc.subject.none.fl_str_mv Informática
FAIR principles
topic Informática
FAIR principles
dc.description.none.fl_txt_mv First published in 2016, in an article that has now received over 6000 citations, the FAIR (Findability, Accessibility, Interoperability, Reusability) Principles have had a significant influence in policy, practice and thinking about research data management and stewardship. The catchy mnemonic has been effective, but the article and related work convey an important message. The fundamental purpose of the FAIR principles is to provide guidelines such that data and metadata relevant to all kinds of research outputs are machine readable and machine actionable. The vision is one in which research outputs can be visited online and at vast scale and the potential of machine assisted analysis can be realised, but with data and metadata that are sufficiently reliable so as to reduce error and quantify uncertainty.
Ibero-American Science and Technology Education Consortium
description First published in 2016, in an article that has now received over 6000 citations, the FAIR (Findability, Accessibility, Interoperability, Reusability) Principles have had a significant influence in policy, practice and thinking about research data management and stewardship. The catchy mnemonic has been effective, but the article and related work convey an important message. The fundamental purpose of the FAIR principles is to provide guidelines such that data and metadata relevant to all kinds of research outputs are machine readable and machine actionable. The vision is one in which research outputs can be visited online and at vast scale and the potential of machine assisted analysis can be realised, but with data and metadata that are sufficiently reliable so as to reduce error and quantify uncertainty.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Resumen
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/166799
url http://sedici.unlp.edu.ar/handle/10915/166799
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2375-2
info:eu-repo/semantics/reference/hdl/10915/166184
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
15-16
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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