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Pilot Study on the Intercalibration of a Categorisation System for FAlRer Digital Objects Related to Sensitive Data in the Life Sciences

引用

Data Intelligence 2022年第2期4卷 196-211页

作者： Christian Ohmann Romain David Monica Cano Abadia Florence Bietrix Jan-Willem Boiten Steve Canham Maria Luisa Chiusano Walter Dastru Arnaud Laroquette dario longo Michaela Theresia Mayrhofer Maria Panagiotopoulou Audrey Richard Pablo Emilio Verde European Clinical Research Infrastructure Network(ECRIN) Paris 75013France European Research Infrastructure on Highly Pathogenic Agents(ERINHA AISBL) Brussels 10ooBelgium Biobanking and Biomolecular Resources Research Infrastructure(BBMRI) Graz 8010Austria European Infrastructure for Translational Medicine(EATRIS) Amsterdam 1081 HZThe Netherlands European Advanced Translational Research Infrastructure(EATRIS)/Lygature Utrecht 3521 ALThe Netherlands European Marine Biological Resource Centre(EMBRC)Department of Agricultural Sciences University Federico Il of Naples via UniversitaNaples 80138Italy Department of Molecular Biotechnology and Health Sciences Molecular Imaging CenterUniversity of TorinoTorino I-10125Italy European Marine Biological Resource Centre(EMBRC) Paris 75252France European Research Infrastructure for Biological and Biomedical Imaging(Euro-Biolmaging) Torino 10126Italy European Research Infrastructure on Highly Pathogenic Agents(ERINHA AISBL) Brussels 1000Belgium Coordination Centre for Clinical Trials Heinrich Heine University Dusseldorf Ringgold standard institutionNordrhein-Westfalen 40225Germany

Sharing sensitive data is a specific challenge for research infrastructures in the field of life *** that reason a toolbox has been developed,providing resources for researchers who wish to share and use sensitive data,to support the workflows for handling these kinds of digital *** and community approved annotations are required to be compliant with FAIR principles(Findability,Accessibility,Interoperability,Reusability).The toolbox makes use of a tagging(categorisation)system,allowing consistent labelling and categorisation of digital objects,in terms relevant to data sharing tasks and activities.A pilot study was performed within the Horizon 2020 project EOSC-Life,in which 2 experts from 6 life sciences research infrastructures were recruited to independently assign tags to the same set of 10 to 25 resources related to sensitive data management and data sharing(in total 110).Summary statistics of agreement and observer variation per research infrastructure are *** pilot study has shown that experts were able to attribute tags but in most cases with a considerable observer variation between *** the context of CWFR(Canonical Workflow Frameworks for Research),this indicates the necessity for careful definition,evaluation and validation of parameters and processes related to workflow *** results from this pilot study were used to tackle this issue by revising the categorisation system and providing an updated version.

关键词： Sensitive data CWFR EOSC-Life Life sciences Toolbox Categorisation system Tagging FAIR

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