<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Gonzalez-Garcia J</submitter><funding>European Union's Horizon 2020 research and innovation programme</funding><funding>European Union’s Horizon 2020 research and innovation programme</funding><pagination>i43-i49</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11215320</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>34(Supplement_1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The extensive and continuous reuse of sensitive health data could enhance the role of population health research on public decisions. This paper describes the design principles and the different building blocks that have supported the implementation and deployment of Population Health Information Research Infrastructure (PHIRI), the strengths and challenges of the approach and some future developments.&lt;h4>Methods&lt;/h4>The design and implementation of PHIRI have been developed upon: (i) the data visiting principle-data does not move but code moves; (ii) the orchestration of the research question throughout a workflow that ensured legal, organizational, semantic and technological interoperability and (iii) a 'master-worker' federated computational architecture that supporte</pubmed_abstract><journal>European journal of public health</journal><pubmed_title>PHIRI: lessons for an extensive reuse of sensitive data in federated health research.</pubmed_title><pmcid>PMC11215320</pmcid><funding_grant_id>101018317</funding_grant_id><pubmed_authors>Estupinan-Romero F</pubmed_authors><pubmed_authors>Rodriguez-Blazquez C</pubmed_authors><pubmed_authors>Telleria-Orriols C</pubmed_authors><pubmed_authors>Bogaert P</pubmed_authors><pubmed_authors>Gissler M</pubmed_authors><pubmed_authors>Schmidt A</pubmed_authors><pubmed_authors>Population Health Information Research Infrastructure</pubmed_authors><pubmed_authors>Gonzalez-Galindo J</pubmed_authors><pubmed_authors>Zeitlin J</pubmed_authors><pubmed_authors>Philibert M</pubmed_authors><pubmed_authors>Gonzalez-Garcia J</pubmed_authors><pubmed_authors>Thißen M</pubmed_authors><pubmed_authors>Bernal-Delgado E</pubmed_authors><pubmed_authors>Derycke P</pubmed_authors><pubmed_authors>Lyons RA</pubmed_authors><pubmed_authors>Dolanski-Aghamanoukjan L</pubmed_authors><pubmed_authors>Schutte N</pubmed_authors><pubmed_authors>Aldridge S</pubmed_authors><pubmed_authors>Tolonen H</pubmed_authors></additional><is_claimable>false</is_claimable><name>PHIRI: lessons for an extensive reuse of sensitive data in federated health research.</name><description>&lt;h4>Background&lt;/h4>The extensive and continuous reuse of sensitive health data could enhance the role of population health research on public decisions. This paper describes the design principles and the different building blocks that have supported the implementation and deployment of Population Health Information Research Infrastructure (PHIRI), the strengths and challenges of the approach and some future developments.&lt;h4>Methods&lt;/h4>The design and implementation of PHIRI have been developed upon: (i) the data visiting principle-data does not move but code moves; (ii) the orchestration of the research question throughout a workflow that ensured legal, organizational, semantic and technological interoperability and (iii) a 'master-worker' federated computational architecture that supporte</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2025-04-18T15:28:04.072Z</modification><creation>2025-04-07T02:06:39.763Z</creation></dates><accession>S-EPMC11215320</accession><cross_references><pubmed>38946447</pubmed><doi>10.1093/eurpub/ckae036</doi></cross_references></HashMap>