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Awareness of FAIR and FAIR4RS among international research software funders.
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本文引用的文献

1
Strategic priorities and challenges in research software funding: Results from an international survey.
F1000Res. 2025 Jan 6;13:1447. doi: 10.12688/f1000research.155879.2. eCollection 2024.
2
Promoting Data Sharing: The Moral Obligations of Public Funding Agencies.
Sci Eng Ethics. 2024 Aug 6;30(4):35. doi: 10.1007/s11948-024-00491-3.
3
Software in science is ubiquitous yet overlooked.
Nat Comput Sci. 2024 Jul;4(7):465-468. doi: 10.1038/s43588-024-00651-2.
4
Policy recommendations to ensure that research software is openly accessible and reusable.
PLoS Biol. 2023 Jul 21;21(7):e3002204. doi: 10.1371/journal.pbio.3002204. eCollection 2023 Jul.
5
Reward systems for cohort data sharing: An interview study with funding agencies.
PLoS One. 2023 Mar 24;18(3):e0282969. doi: 10.1371/journal.pone.0282969. eCollection 2023.
6
Ten simple rules for funding scientific open source software.
PLoS Comput Biol. 2022 Nov 17;18(11):e1010627. doi: 10.1371/journal.pcbi.1010627. eCollection 2022 Nov.
7
Introducing the FAIR Principles for research software.
Sci Data. 2022 Oct 14;9(1):622. doi: 10.1038/s41597-022-01710-x.
8
How research data deliver non-academic impacts: A secondary analysis of UK Research Excellence Framework impact case studies.
PLoS One. 2022 Mar 10;17(3):e0264914. doi: 10.1371/journal.pone.0264914. eCollection 2022.
9
The FAIR Guiding Principles for scientific data management and stewardship.
Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.

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