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Introducing the FAIR Principles for research software

Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the practice of scholarship is a common goal of the open science, open source, and FAIR (Findable, Accessible, Int...

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Autores principales: Barker, Michelle, Chue Hong, Neil P., Katz, Daniel S., Lamprecht, Anna-Lena, Martinez-Ortiz, Carlos, Psomopoulos, Fotis, Harrow, Jennifer, Castro, Leyla Jael, Gruenpeter, Morane, Martinez, Paula Andrea, Honeyman, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562067/
https://www.ncbi.nlm.nih.gov/pubmed/36241754
http://dx.doi.org/10.1038/s41597-022-01710-x
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author Barker, Michelle
Chue Hong, Neil P.
Katz, Daniel S.
Lamprecht, Anna-Lena
Martinez-Ortiz, Carlos
Psomopoulos, Fotis
Harrow, Jennifer
Castro, Leyla Jael
Gruenpeter, Morane
Martinez, Paula Andrea
Honeyman, Tom
author_facet Barker, Michelle
Chue Hong, Neil P.
Katz, Daniel S.
Lamprecht, Anna-Lena
Martinez-Ortiz, Carlos
Psomopoulos, Fotis
Harrow, Jennifer
Castro, Leyla Jael
Gruenpeter, Morane
Martinez, Paula Andrea
Honeyman, Tom
author_sort Barker, Michelle
collection PubMed
description Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the practice of scholarship is a common goal of the open science, open source, and FAIR (Findable, Accessible, Interoperable and Reusable) communities and research software is now being understood as a type of digital object to which FAIR should be applied. This emergence reflects a maturation of the research community to better understand the crucial role of FAIR research software in maximising research value. The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work.
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spelling pubmed-95620672022-10-14 Introducing the FAIR Principles for research software Barker, Michelle Chue Hong, Neil P. Katz, Daniel S. Lamprecht, Anna-Lena Martinez-Ortiz, Carlos Psomopoulos, Fotis Harrow, Jennifer Castro, Leyla Jael Gruenpeter, Morane Martinez, Paula Andrea Honeyman, Tom Sci Data Article Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the practice of scholarship is a common goal of the open science, open source, and FAIR (Findable, Accessible, Interoperable and Reusable) communities and research software is now being understood as a type of digital object to which FAIR should be applied. This emergence reflects a maturation of the research community to better understand the crucial role of FAIR research software in maximising research value. The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work. Nature Publishing Group UK 2022-10-14 /pmc/articles/PMC9562067/ /pubmed/36241754 http://dx.doi.org/10.1038/s41597-022-01710-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Barker, Michelle
Chue Hong, Neil P.
Katz, Daniel S.
Lamprecht, Anna-Lena
Martinez-Ortiz, Carlos
Psomopoulos, Fotis
Harrow, Jennifer
Castro, Leyla Jael
Gruenpeter, Morane
Martinez, Paula Andrea
Honeyman, Tom
Introducing the FAIR Principles for research software
title Introducing the FAIR Principles for research software
title_full Introducing the FAIR Principles for research software
title_fullStr Introducing the FAIR Principles for research software
title_full_unstemmed Introducing the FAIR Principles for research software
title_short Introducing the FAIR Principles for research software
title_sort introducing the fair principles for research software
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562067/
https://www.ncbi.nlm.nih.gov/pubmed/36241754
http://dx.doi.org/10.1038/s41597-022-01710-x
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