The FAIR Guiding Principles for scientific data management and stewardship.
The FAIR Guiding Principles for scientific data management and stewardship.
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DOI：
10.1038/sdata.2016.18
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发表时间：
2016-03-15
期刊：
影响因子：
9.8
通讯作者：
Mons B
中科院分区：
文献类型：
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作者：
Wilkinson MD;Dumontier M;Aalbersberg IJ;Appleton G;Axton M;Baak A;Blomberg N;Boiten JW;da Silva Santos LB;Bourne PE;Bouwman J;Brookes AJ;Clark T;Crosas M;Dillo I;Dumon O;Edmunds S;Evelo CT;Finkers R;Gonzalez-Beltran A;Gray AJ;Groth P;Goble C;Grethe JS;Heringa J;'t Hoen PA;Hooft R;Kuhn T;Kok R;Kok J;Lusher SJ;Martone ME;Mons A;Packer AL;Persson B;Rocca-Serra P;Roos M;van Schaik R;Sansone SA;Schultes E;Sengstag T;Slater T;Strawn G;Swertz MA;Thompson M;van der Lei J;van Mulligen E;Velterop J;Waagmeester A;Wittenburg P;Wolstencroft K;Zhao J;Mons B
迫切需要改善支持学术数据再利用的基础设施。代表学术界、工业界、资助机构和学术界的一系列不同的数据持有者聚集在一起，设计并共同认可了一套简洁、可衡量的原则，我们称之为公平数据原则。其目的是，这些可以作为那些希望提高其数据持有的可重用性的指导方针。与关注人类学者的同行倡议不同，公平原则特别强调增强机器自动查找和使用数据的能力，以及支持个人重用数据。本评论是公平原则的第一个正式出版物，包括它们背后的基本原理，以及社区中的一些示例性实现。
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.