TY - JOUR
T1 - Introducing the FAIR Principles for research software
AU - Barker, Michelle
AU - Chue Hong, Neil P.
AU - Katz, Daniel S.
AU - Lamprecht, Anna Lena
AU - Martinez-Ortiz, Carlos
AU - Psomopoulos, Fotis
AU - Harrow, Jennifer
AU - Castro, Leyla Jael
AU - Gruenpeter, Morane
AU - Martinez, Paula Andrea
AU - Honeyman, Tom
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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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U2 - 10.1038/s41597-022-01710-x
DO - 10.1038/s41597-022-01710-x
M3 - Article
C2 - 36241754
AN - SCOPUS:85140072136
VL - 9
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 622
ER -