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'''"[[Journal: | '''"[[Journal:The FAIR Guiding Principles for scientific data management and stewardship|The FAIR Guiding Principles for scientific data management and stewardship]]"''' | ||
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 article represents the first formal publication of the FAIR Principles, and it includes the rationale behind them as well as some exemplar implementations in the community. ('''[[The FAIR Guiding Principles for scientific data management and stewardship|Full article...]]''')<br /> | |||
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''Recently featured'': | ''Recently featured'': | ||
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Revision as of 16:09, 26 June 2017
"The FAIR Guiding Principles for scientific data management and stewardship"
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 article represents the first formal publication of the FAIR Principles, and it includes the rationale behind them as well as some exemplar implementations in the community. (Full article...)
Recently featured:
- ▪ A multi-service data management platform for scientific oceanographic products
- ▪ MASTR-MS: A web-based collaborative laboratory information management system (LIMS) for metabolomics
- ▪ The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - A randomized controlled trial