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作 者:Nick Juty Sarala M.Wimalaratne Stian Soiland-Reyes John Kunze Carole A.Goble Tim Clark
机构地区:[1]Department of Computer Science,The University of Manchester,Oxford Road,Manchester M139PL,UK [2]European Bioinformatics Institute(EMBL-EBI),Hinxton,Cambridge,CB101SD,UK [3]California Digital Library,Oakland,California 94612-2901,USA [4]Data Science Institute,University of Virginia,Charlottesville,VA 22903-1738,USA
出 处:《Data Intelligence》2020年第1期30-39,302,共11页数据智能(英文)
基 金:This work was supported in part by the European Union’s Horizon 2020 program under grant agreements 777523,FREYA;“Connected Open Identifiers for Discovery,Access and Use of Research Resources”,654248,CORBEL;“Coordinated Research Infrastructures Building Enduring Life-science services”,and 823830;Bioexcel2,"BioExcel-2 Centre of Excellence for Computational Biomolecular Research".Many thanks to Paul Groth for his helpful comments on the manuscript.
摘 要:The FAIR principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ecosystem.Persistent,globally unique identifiers,resolvable on the Web,and associated with a set of additional descriptive metadata,are foundational to FAIR data.Here we describe some basic principles and exemplars for their design,use and orchestration with other system elements to achieve FAIRness for digital research objects.
关 键 词:Identifiers METADATA findability FAIR data data infrastructures
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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