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

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...

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Detalles Bibliográficos
Autor principal: Hodson, Simon
Formato: Objeto de conferencia Resumen
Lenguaje:Inglés
Publicado: 2023
Materias:
Informática
FAIR principles
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/166799
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-166799
record_format dspace
spelling I19-R120-10915-1667992024-06-05T20:01:21Z http://sedici.unlp.edu.ar/handle/10915/166799 WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges Hodson, Simon 2023 2024 2024-06-05T18:07:32Z en Informática FAIR principles 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 Objeto de conferencia Resumen http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 15-16
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Informática
FAIR principles
spellingShingle Informática
FAIR principles
Hodson, Simon
WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
topic_facet Informática
FAIR principles
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.
format Objeto de conferencia
Resumen
author Hodson, Simon
author_facet Hodson, Simon
author_sort Hodson, Simon
title WorldFAIR: Open Science and FAIR Data for Cross-Domain Grand Challenges
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
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/166799
work_keys_str_mv AT hodsonsimon worldfairopenscienceandfairdataforcrossdomaingrandchallenges
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