FAIR Convergence Matrix:Optimizing the Reuse of Existing FAIR-Related Resources

作     者：Hana Pergl Sustkova Kristina Maria Hettne Peter Wittenburg Annika Jacobsen Tobias Kuhn Robert Pergl Jan Slifka Peter McQuilton Barbara Magagna Susanna-Assunta Sansone Markus Stocker Melanie Imming Larry Lannom Mark Musen Erik Schultes Hana Pergl Sustkova;Kristina Maria Hettne;Peter Wittenburg;Annika Jacobsen;Tobias Kuhn;Robert Pergl;Jan Slifka;Peter McQuilton;Barbara Magagna;Susanna-Assunta Sansone;Markus Stocker;Melanie Imming;Larry Lannom;Mark Musen;Erik Schultes

作者机构：GO FAIR International Support and Coordination OfficeLeidenThe Netherlands Centre for Digital ScholarshipLeiden University LibrariesLeidenThe Netherlands Max Planck Computing and Data FacilityGießenbachstraße 285748 GarchingGermany Leiden University Medical CenterLeiden2333 ZAThe Netherlands Department of Computer ScienceVrije Universiteit AmsterdamDe Boelelaan 11051081 HV AmsterdamThe Netherlands Czech Technical University in PragueFaculty of Information Technology(FIT CTU)16000 Prague 6Czech Republic Oxford e-Research CentreDepartment of Engineering SciencesUniversity of OxfordOxford OX13PJUK Environment Agency AustriaA-1090 ViennaAustria TIB Leibniz Information Centre for Science and TechnologyHannoverGermany SURFUtrecht 3511 EPThe Netherlands Corporation for National Research Initiatives(CNRI)RestonVirginia 20191USA Stanford Center for Biomedical Informatics ResearchStanfordCA 94305USA 

出 版 物：《Data Intelligence》 (数据智能（英文）)

年 卷 期：2020年第2卷第1期

页      面：158-170,313页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：FAIRsharing is funded by grants awarded to SAS 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) 

主　　题：FAIR Implementation Choices and Challenges Convergence FAIR Communities 

摘      要：The FAIR principles articulate the behaviors expected from digital artifacts that are Findable,Accessible,Interoperable and Reusable by machines and by *** by now widely accepted,the FAIR Principles by design do not explicitly consider actual implementation choices enabling FAIR *** different communities have their own,often well-established implementation preferences and priorities for data reuse,coordinating a broadly accepted,widely used FAIR implementation approach remains a global *** an effort to accelerate broad community convergence on FAIR implementation options,the GO FAIR community has launched the development of the FAIR Convergence *** Matrix is a platform that compiles for any community of practice,an inventory of their self-declared FAIR implementation choices and *** Convergence Matrix is itself a FAIR resource,openly available,and encourages voluntary participation by any self-identified community of practice(not only the GO FAIR Implementation Networks).Based on patterns of use and reuse of existing resources,the Convergence Matrix supports the transparent derivation of strategies that optimally coordinate convergence on standards and technologies in the emerging Internet of FAIR Data and Services.