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dc.contributor.authorHernández, Mikel
dc.contributor.authorKonstantinidis, Evdokimos I.
dc.contributor.authorEpelde Unanue, Gorka
dc.contributor.authorLondoño, Francisco
dc.contributor.authorPetsani, Despoina
dc.contributor.authorTimoleon, Michalis
dc.contributor.authorFiska, Vasiliki
dc.contributor.authorMpaltadoros, Lampros
dc.contributor.authorMaga-Nteve, Christoniki
dc.contributor.authorMachairas, Ilias
dc.contributor.authorBamidis, Panagiotis D.
dc.date.accessioned2024-06-27T15:09:59Z
dc.date.available2024-06-27T15:09:59Z
dc.date.issued2024-05-28
dc.identifier.citationBig Data and Cognitive Computing 8(6) : (2024) // Article ID 55es_ES
dc.identifier.issn2504-2289
dc.identifier.urihttp://hdl.handle.net/10810/68686
dc.description.abstractIntending to enable a broader collaboration with the scientific community while maintaining privacy of the data stored and generated in Living Labs, this paper presents the Shareable Data Publishing and Access Service for Living Labs, implemented within the framework of the H2020 VITALISE project. Building upon previous work, significant enhancements and improvements are presented in the architecture enabling Living Labs to securely publish collected data in an internal and isolated node for external use. External researchers can access a portal to discover and download shareable data versions (anonymised or synthetic data) derived from the data stored across different Living Labs that they can use to develop, test, and debug their processing scripts locally, adhering to legal and ethical data handling practices. Subsequently, they may request remote execution of the same algorithms against the real internal data in Living Lab nodes, comparing the outcomes with those obtained using shareable data. The paper details the architecture, data flows, technical details and validation of the service with real-world usage examples, demonstrating its efficacy in promoting data-driven research in digital health while preserving privacy. The presented service can be used as an intermediary between Living Labs and external researchers for secure data exchange and to accelerate research on data analytics paradigms in digital health, ensuring compliance with data protection laws.es_ES
dc.description.sponsorshipThis research was partly funded by the VITALISE (Virtual Health and Wellbeing Living Lab Infrastructure) project, funded by the Horizon 2020 Framework Program of the European Union for Research Innovation (grant agreement 101007990).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/101007990es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/
dc.subjectLiving Labses_ES
dc.subjectdata privacyes_ES
dc.subjectanonymised dataes_ES
dc.subjectsynthetic dataes_ES
dc.subjectshareable dataes_ES
dc.subjectsecure data publishinges_ES
dc.subjectshareable data access servicees_ES
dc.subjectdigital healthes_ES
dc.subjectreal-world dataes_ES
dc.subjectresearch collaborationes_ES
dc.titleA secure data publishing and access service for sensitive data from Living Labs: enabling collaboration with external researchers via shareable dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2024-06-26T13:22:49Z
dc.rights.holder© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2504-2289/8/6/55es_ES
dc.identifier.doi10.3390/bdcc8060055
dc.contributor.funderEuropean Commission
dc.departamentoesCiencia de la computación e inteligencia artificial
dc.departamentoeuKonputazio zientziak eta adimen artifiziala


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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).