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FAIR Digital Twins for Data-Intensive Research.

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第一作者： Erik,Schultes

第一单位： Leiden Institute for FAIR and Equitable Science, Leiden, Netherlands.;GO FAIR Foundation, Leiden, Netherlands.

作者： Erik,Schultes ^[1] ; Marco,Roos ^[2] ; Luiz Olavo,Bonino da Silva Santos ^[3] ; Giancarlo,Guizzardi ^[4] ; Jildau,Bouwman ^[5] ; Thomas,Hankemeier ^[6] ; Arie,Baak ^[7] ; Barend,Mons ^[8]

作者单位： Leiden Institute for FAIR and Equitable Science, Leiden, Netherlands.;GO FAIR Foundation, Leiden, Netherlands. ^[1] Leiden Institute for FAIR and Equitable Science, Leiden, Netherlands.;Human Genetics Department, Leiden University Medical Center, Leiden, Netherlands. ^[2] Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands. ^[3] Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands.;Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy. ^[4] Leiden Institute for FAIR and Equitable Science, Leiden, Netherlands.;Netherlands Organisation for Applied Scientific Research, Zeist, Netherlands. ^[5] Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands. ^[6] Euretos, Utrecht, Netherlands. ^[7] Leiden Institute for FAIR and Equitable Science, Leiden, Netherlands.;GO FAIR Foundation, Leiden, Netherlands.;Human Genetics Department, Leiden University Medical Center, Leiden, Netherlands.;Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands. ^[8]

关键词 FAIR Digital Object FAIR Digital Twin FAIR guiding principles Knowlet augmented reasoning data stewardship machine learning nanopublications

DOI 10.3389/fdata.2022.883341

PMID 35647536

发布时间 2022-07-16

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