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FAIR Principles:Interpretations and Implementation Considerations

Data Intelligence 2020年第1期2卷 10-29,293-302,322页

作者： Annika Jacobsen Ricardo de Miranda Azevedo Nick Juty Dominique Batista Simon Coles Ronald Cornet Melanie Courtot Merce Crosas Michel Dumontier Chris T.Evelo Carole goble giancarlo guizzardi Karsten Kryger Hansen Ali Hasnain Kristina Hettne Jaap Heringa Rob W.W.Hooft Melanie Imming keith g.jeffery Rajaram Kaliyaperumal Martijn gKersloot Christine R.Kirkpatrick Tobias Kuhn Ignasi Labastida Barbara Magagna PeterMcQuilton Natalie Meyers Annalisa Montesanti Mirjam van Reisen Philippe Rocca-Serra Robert Pergl Susanna-Assunta Sansone Luiz Olavo Bonino da Silva Santos Juliane Schneider george Strawn Mark Thompson Andra Waagmeester Tobias Weigel Mark D.Wilkinson Egon L.Willighagen Peter Wittenburg Marco Roos Barend Mons Erik Schultes Leiden University Medical Center Leiden2333 ZAThe Netherlands Institute of Data Science Maastricht UniversityUniversiteitssingel 60Maastricht 6229 ERThe Netherlands Department of Computer Science The University of ManchesterOxford RoadManchester M139PLUK Oxford e-Research Centre Department of Engineering SciencesUniversity of OxfordOxford OX13PJUK School of Chemistry Faculty of Engineering and Physical SciencesUniversity of SouthamptonSO171BJUK Amsterdam UMC University of AmsterdamAmsterdam 1000 GGThe Netherlands European Bioinformatics Institute(EMBL-EBI) HinxtonCambridgeCB101SDUK Harvard University CambridgeMassachusetts 02138USA Department of Bioinformatics–BigCaT NUTRIMMaastricht UniversityMaastricht 6229 ERThe Netherlands Conceptual and Cognitive Modeling Research group(CORE) Free University of Bozen-BolzanoBolzano 39100Italy Aalborg University Aalborg DK-9220Denmark Insight Centre for Data Analytics National University of Ireland GalwayH91 TK33Ireland Centre for Digital Scholarship Leiden University LibrariesLeiden2333 ZAThe Netherlands Department of Computer Science Vrije Universiteit AmsterdamDe Boelelaan 11051081 HV AmsterdamThe Netherlands Dutch Techcentre for Life Sciences(DTL) UtrechtThe Netherlands SURF Utrecht 3511 EPThe Netherlands keith g.jeffery Consultants FaringdonUK Castor EDC Paasheuvelweg 25Wing 5D1105 BPAmsterdamThe Netherlands San Diego Supercomputer Center University of California San DiegoLa JollaCalifornia 92093USA Learning and Research Resources Centre(CRAI) Universitat de Barcelona08007 BarcelonaSpain Environment Agency Austria A-1090 ViennaAustria University of Notre Dame 75004 ParisFrance Health Research Board(HRB) Dublin 2DO2 H638Ireland Liacs Institute of Advanced Computer Science Leiden University2311 GJ LeidenThe Netherlands Czech Technical University in Prague Faculty of Information Technology(FIT CTU)16000 Prague 6Czech Republic gO FAIR International Support&Coordination Office(gFISCO) LeidenThe Netherlands Harvard Catalys

The FAIR principles have been widely cited,endorsed and adopted by a broad range of stakeholders since their publication in *** intention,the 15 FAIR guiding principles do not dictate specific technological implementations,but provide guidance for improving Findability,Accessibility,Interoperability and Reusability of digital *** has likely contributed to the broad adoption of the FAIR principles,because individual stakeholder communities can implement their own FAIR ***,it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible ***,while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways,for true interoperability we need to support convergence in implementation choices that are widely accessible and(re)-*** introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible,robust,widespread and consistent FAIR *** self-identified stakeholder community may either choose to reuse solutions from existing implementations,or when they spot a gap,accept the challenge to create the needed solution,which,ideally,can be used again by other communities in the ***,we provide interpretations and implementation considerations(choices and challenges)for each FAIR principle.

关键词： FAIR guiding principles FAIR implementation FAIR convergence FAIR communities choices and challenges

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维普期刊数据库

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Not Ready for Convergence in Data Infrastructures

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Data Intelligence 2021年第1期3卷 116-135页

作者： keith jeffery Peter Wittenburg Larry Lannom george Strawn Claudia Biniossek Dirk Betz Christophe Blanchi keith g.jeffery Consultants 71 Gilligans WayFaringdon SN77FXUK Max Planck Computing and Data Facility Gießenbachstraße 285748 GarchingGermany Corporation for National Research Initiatives(CNRI) RestonVirginia 20191USA US National Academy of Sciences Washington DC 20418USA gESIS-Leibniz Institute for the Social Sciences Unter Sachsenhausen 6-850667CologneGermany Corporation for National Research Initiatives RestonVirginia 20191USA

Much research is dependent on Information and Communication Technologies(ICT).Researchers in different research domains have set up their own ICT systems(data labs)to support their research,from data collection(observation,experiment,simulation)through analysis(analytics,visualisation)to ***,too frequently the Digital Objects(DOs)upon which the research results are based are not curated and thus neither available for reproduction of the research nor utilization for other(e.g.,multidisciplinary)research *** key to curation is rich metadata recording not only a description of the DO and the conditions of its use but also the provenance-the trail of actions performed on the DO along the research *** are increasing real-world requirements for multidisciplinary *** DOs in domain-specific ICT systems(silos),commonly with inadequate metadata,such research is *** wide agreement on principles for achieving FAIR(findable,accessible,interoperable,and reusable)utilization of research data,current practices fall *** DOs offer a way *** paradoxes,barriers and possible solutions are *** key is persuading the researcher to adopt best practices which implies decreasing the cost(easy to use autonomic tools)and increasing the benefit(incentives such as acknowledgement and citation)while maintaining researcher independence and flexibility.

关键词： Scientific process Workflow Metadata FAIR Scientific data Data wrangling

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维普期刊数据库

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State of FAIRness in ESFRI Projects

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Data Intelligence 2020年第1期2卷 230-237,316页

作者： Peter Wittenburg Franciska de Jong Dieter van Uytvanck Massimo Cocco keith jeffery Michael Lautenschlager Hannes Thiemann Margareta Hellstrom Ari Asmi Petr Holub Max Planck Computing and Data Facility Gießenbachstraße 285748 GarchingGermany CLARIN ERIC CLARIN ERIC Drift 10Utrecht 3512 BSThe Netherlands EPOS ERIC Via di Vigna Murata 605Rome 00143Italy keith g.jeffery Consultants FaringdonUK DKRZ Ringgold standard institution Bundesstr.45aHamburgHamburg 20146Germany Department of Physical geography and Ecosystem Ringgold standard institutionLund UniversityScienc Sölvegatan 12Lund 22362Sweden University of Helsinki Ringgold Standard Institution–Institution of Atmospheric and Earth System Sciences P.O.Box 64Helsinki 00014Finland BBMRI-ERIC Neue Stiftingtalstrasse 2/B/6 Graz 8010Austria

Since 2009 initiatives that were selected for the roadmap of the European Strategy Forum on Research Infrastructures started working to build research infrastructures for a wide range of research *** important result of the strategic discussions was that distributed infrastructure scenarios were now seen as“complex research facilities”in addition to,for example traditional centralised infrastructures such as *** this paper we look at five typical examples of such distributed infrastructures where many researchers working in different centres are contributing data,tools/services and knowledge and where the major task of the research infrastructure initiative is to create a virtually integrated suite of resources allowing researchers to carry out state-of-the-art *** analysis shows that most of these research infrastructures worked on the Findability,Accessibility,Interoperability and Reusability dimensions before the term“FAIR”was actually *** definition of the FAIR principles and their wide acceptance can be seen as a confirmation of what these initiatives were doing and it gives new impulse to close still existing *** initiatives also seem to be ready to take up the next steps which will emerge from the definition of FAIR maturity *** from these infrastructures should bring in their 10-years’experience in this definition process.

关键词： Infrastructure FAIR Metrics gO FAIR Matrix

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维普期刊数据库

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