Building the future of data-driven research and decision-making to control epidemics : a VACCIINE for open data policies

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dc.contributor.authorDÍAZ-VALDERRAMA, Miller
dc.contributor.authorVILLADIEGO, Ana María
dc.contributor.authorLEÓN-GIRALDO, Sebastián
dc.contributor.authorNIÑO-MACHADO, Natalia
dc.contributor.authorMISHRA, Swasti
dc.contributor.authorCUADRADO, Cristobal
dc.contributor.authorGONZÁLEZ-URIBE, Catalina
dc.contributor.authorPENTTINEN, Pasi Martti Petteri
dc.contributor.authorBERNAL, Oscar
dc.date.accessioned2025-04-02T16:37:36Z
dc.date.available2025-04-02T16:37:36Z
dc.date.issued2025
dc.descriptionPublished online: April 2025en
dc.description.abstractThe COVID-19 pandemic underscored the need for robust open data infrastructures to support data-driven public health decision-making, particularly for controlling infectious diseases. Current open data policies often emphasise transparency and accountability but overlook the practical usability of data for research. This policy analysis, informed by literature reviews and projects such as Open2Health and Epiverse-TRACE LAC, examines open data for epidemiological surveillance in Latin America and the Caribbean (LAC). It identifies barriers and proposes a structured policy framework ﾗ VACCIINE (Values, Adoption Cultures, Common Infrastructures, Incentives, New expertise). These guidelines provide policymakers with a practical roadmap to build effective open data ecosystems. These guidelines focus on cultural and infrastructural shifts, including adopting standards, enhancing data architecture, and leveraging data accessibility. Key challenges include distrust, lack of standardisation, resource limitations, and undervaluation of data activities. Policymakers should foster cooperation and incentivise high-quality data production and sharing. To create a responsive data ecosystem, this analysis also integrates the FREE-FAIRER principles, which go beyond transparency to ensure that open data is findable, accessible, interoperable, reusable, and ethically governed. Together, these frameworks provide actionable recommendations to enhance public health research, crisis response, and long-term epidemic preparedness.en
dc.format.mimetypeapplication/pdf
dc.identifier.doi10.2870/6057497
dc.identifier.isbn9789294666444
dc.identifier.issn2600-271X
dc.identifier.urihttps://hdl.handle.net/1814/78259
dc.language.isoen
dc.orcid.uploadTRUE*
dc.publisherEuropean University Instituteen
dc.relation.ispartofseriesEUIen
dc.relation.ispartofseriesSTGen
dc.relation.ispartofseriesPolicy Analysisen
dc.relation.ispartofseries2025/05en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleBuilding the future of data-driven research and decision-making to control epidemics : a VACCIINE for open data policiesen
dc.typeOtheren
dspace.entity.typePublication
person.identifier.orcid0000-0002-4276-7520
person.identifier.other46944
person.identifier.other52803
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relation.isAuthorOfPublication43bb605b-11b7-4203-badf-42cd4c0694ce
relation.isAuthorOfPublication.latestForDiscovery5df2edb3-def8-4fa7-8b3d-25b80d7a5769
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