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Helping the Consumers and Producers of Standards,Repositories and Policies to Enable FAIR Data 被引量:5

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摘要 Thousands of community-developed(meta)data guidelines,models,ontologies,schemas and formats have been created and implemented by several thousand data repositories and knowledge-bases,across all disciplines.These resources are necessary to meet government,funder and publisher expectations of greater transparency and access to and preservation of data related to research publications.This obligates researchers to ensure their data is FAIR,share their data using the appropriate standards,store their data in sustainable and community-adopted repositories,and to conform to funder and publisher data policies.FAIR data sharing also plays a key role in enabling researchers to evaluate,re-analyse and reproduce each other’s work.We can map the landscape of relationships between community-adopted standards and repositories,and the journal publisher and funder data policies that recommend their use.In this paper,we show how the work of the GO-FAIR FAIR Standards,Repositories and Policies(StRePo)Implementation Network serves as a central integration and cross-fertilisation point for the reuse of FAIR standards,repositories and data policies in general.Pivotal to this effort,the FAIRsharing,an endorsed flagship resource of the Research Data Alliance that maps the landscape of relationships between community-adopted standards and repositories,and the journal publisher and funder data policies that recommend their use.Lastly,we highlight a number of activities around FAIR tools,services and educational efforts to raise awareness and encourage participation.
出处 《Data Intelligence》 2020年第1期151-157,312,共8页 数据智能(英文)
基金 Some of the discussion points in this article and the call for action were developed as part of the joint RDA and Force11 working group and the GO-FAIR StRePo IN We therefore gratefully acknowledge the support provided by the RDA,Force11 and GO-FAIR communities and structures.FAIRsharing is funded by grants awarded to S.-A.S.that include elements of this work specifically,grants from the UK BBSRC and Research Councils(BB/L024101/1,BB/L005069/1) European Union(H2020-EU.3.1,634107,H2020-EU.1.4.1.3,654241,H2020-EU.1.4.1.1,676559),IMI(116060)and NIH(U54 AI117925,1U24AI117966-01,1OT3OD025459-01,1OT3OD025467-01,1OT3OD025462-01) the new FAIRsharing award from the Wellcome Trust(212930/Z/18/Z) as well as a related award(208381/A/17/Z).S.-A.S.is funded also by the Oxford e-Research Centre,Department of Engineering Science of the University of Oxford.
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