website-toots/110704151001644627.md

id	in_reply_to_id	in_reply_to_account_id	sensitive	spoiler_text	visibility	language	replies_count	reblogs_count	favourites_count	edited_at	reblog	application	account	media_attachments	mentions	tags	emojis	card	poll	syndication	date
110704151001644627	110704146009827018	108219415927856966	false		public	en	0	0	2	null	null	null	id username acct display_name url avatar avatar_static header header_static noindex roles 108219415927856966 brozek brozek Brandon Rozek https://fosstodon.org/@brozek https://cdn.fosstodon.org/accounts/avatars/108/219/415/927/856/966/original/bae9f46f23936e79.jpg https://cdn.fosstodon.org/accounts/avatars/108/219/415/927/856/966/original/bae9f46f23936e79.jpg https://fosstodon.org/headers/original/missing.png https://fosstodon.org/headers/original/missing.png true					url title description type author_name author_url provider_name provider_url html width height image embed_url blurhash https://www.nature.com/articles/sdata201618 The FAIR Guiding Principles for scientific data management and stewardship - Scientific Data There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community. link Nature 0 0 null null	null	https://fosstodon.org/@brozek/110704151001644627	2023-07-13T01:21:28.477Z

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For the curious, it seems that the acronym was first discussed in a scientific paper about data reuse.

https://www.nature.com/articles/sdata201618

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