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In January 2020, representatives of nine groups of universities around the world produced the ''Sorbonne declaration on research data rights'',<ref>[https://sorbonnedatadeclaration.eu/ Sorbonne Declaration on Research Data Rights], Jan 27 2020</ref> which included a commitment to FAIR data, and called on governments to provide support to enable it.<ref>[https://www.timeshighereducation.com/news/open-data-tougher-open-access-and-needs-mindset-change Open data 'tougher' than open access and needs 'mindset change'], [[Times Higher Education]], January 31 2020</ref>
In 2021, researchers identified the FAIR principles as a conceptual component of data catalog software tools, with the other components being metadata management, business context and data responsibility roles.<ref>{{Citation |
In April 2022, Matthias Scheffler and colleagues argued in ''[[Nature (journal)|Nature]]'' that FAIR principles are "a must" so that [[data mining]] and [[artificial intelligence]] can extract useful scientific information from the data.<ref>{{Cite journal |
==See also==
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