For life science infrastructures, sensitive data generate an additional layer of complexity. Cross-domain categorisation and discovery of digital resources related to sensitive data presents major interoperability challenges. To support this FAIRification process, a toolbox demonstrator aiming at support for discovery of digital objects related to sensitive data (e.g., regulations, guidelines, best practice, tools) has been developed. The toolbox is based upon a categorisation system developed and harmonised across a cluster of 6 life science research infrastructures. Three different versions were built, tested by subsequent pilot studies, finally leading to a system with 7 main categories (sensitive data type, resource type, research field, data type, stage in data sharing life cycle, geographical scope, specific topics). 109 resources attached with the tags in pilot study 3 were used as the initial content for the toolbox demonstrator, a software tool allowing searching of digital objects linked to sensitive data with filtering based upon the categorisation system. Important next steps are a broad evaluation of the usability and user-friendliness of the toolbox, extension to more resources, broader adoption by different life-science communities, and a long-term vision for maintenance and sustainability.

An iterative and interdisciplinary categorisation process towards FAIRer digital resources for sensitive life-sciences data / David, R., Ohmann, C., Boiten, J.-W., Abadia, M.C., Bietrix, F., Canham, S., Chiusano, M.L., Dastru, W., Laroquette, A., Longo, D., Mayrhofer, M.T., Panagiotopoulou, M., Richard, A.S., Goryanin, S., Verde, P.E.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 12:1(2022). [10.1038/s41598-022-25278-z]

An iterative and interdisciplinary categorisation process towards FAIRer digital resources for sensitive life-sciences data

Chiusano M. L.;Longo D.;
2022

Abstract

For life science infrastructures, sensitive data generate an additional layer of complexity. Cross-domain categorisation and discovery of digital resources related to sensitive data presents major interoperability challenges. To support this FAIRification process, a toolbox demonstrator aiming at support for discovery of digital objects related to sensitive data (e.g., regulations, guidelines, best practice, tools) has been developed. The toolbox is based upon a categorisation system developed and harmonised across a cluster of 6 life science research infrastructures. Three different versions were built, tested by subsequent pilot studies, finally leading to a system with 7 main categories (sensitive data type, resource type, research field, data type, stage in data sharing life cycle, geographical scope, specific topics). 109 resources attached with the tags in pilot study 3 were used as the initial content for the toolbox demonstrator, a software tool allowing searching of digital objects linked to sensitive data with filtering based upon the categorisation system. Important next steps are a broad evaluation of the usability and user-friendliness of the toolbox, extension to more resources, broader adoption by different life-science communities, and a long-term vision for maintenance and sustainability.
2022
An iterative and interdisciplinary categorisation process towards FAIRer digital resources for sensitive life-sciences data / David, R., Ohmann, C., Boiten, J.-W., Abadia, M.C., Bietrix, F., Canham, S., Chiusano, M.L., Dastru, W., Laroquette, A., Longo, D., Mayrhofer, M.T., Panagiotopoulou, M., Richard, A.S., Goryanin, S., Verde, P.E.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 12:1(2022). [10.1038/s41598-022-25278-z]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1013424
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