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PHIRI: lessons for an extensive reuse of sensitive data in federated health research

Juan González-García Orcid Logo, Javier González-Galindo, Francisco Estupiñán-Romero Orcid Logo, Martin Thißen Orcid Logo, Ronan Lyons Orcid Logo, Carlos Telleria-Orriols, Enrique Bernal-Delgado Orcid Logo

European Journal of Public Health, Volume: 34, Issue: Supplement_1, Pages: i43 - i49

Swansea University Author: Ronan Lyons Orcid Logo

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DOI (Published version): 10.1093/eurpub/ckae036

Abstract

Background: 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 In...

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Published in: European Journal of Public Health
ISSN: 1101-1262 1464-360X
Published: Oxford University Press (OUP) 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa68530
first_indexed 2025-01-09T20:33:48Z
last_indexed 2025-01-09T20:33:48Z
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spelling 2024-12-11T15:31:32.7477533 v2 68530 2024-12-11 PHIRI: lessons for an extensive reuse of sensitive data in federated health research 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2024-12-11 MEDS Background: 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. Methods: 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 supported the development of four uses cases. Results: Nine participants nodes and 28 Euro-Peristat members completed the deployment of the infrastructure according to the expected outputs. As a consequence, each use case produced and published their own common data model, the analytical pipeline and the corresponding research outputs. All the digital objects were developed and published according to Open Science and FAIR principles. Conclusion: PHIRI has successfully supported the development of four use cases in a federated manner, overcoming limitations for the reuse of sensitive health data and providing a methodology to achieve interoperability in multiple research nodes. Journal Article European Journal of Public Health 34 Supplement_1 i43 i49 Oxford University Press (OUP) 1101-1262 1464-360X 1 7 2024 2024-07-01 10.1093/eurpub/ckae036 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee This project was received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 101018317. 2024-12-11T15:31:32.7477533 2024-12-11T15:27:11.4655204 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Juan González-García 0000-0003-3109-5586 1 Javier González-Galindo 2 Francisco Estupiñán-Romero 0000-0002-6285-8120 3 Martin Thißen 0000-0002-5710-5650 4 Ronan Lyons 0000-0001-5225-000X 5 Carlos Telleria-Orriols 6 Enrique Bernal-Delgado 0000-0002-0961-3298 7
title PHIRI: lessons for an extensive reuse of sensitive data in federated health research
spellingShingle PHIRI: lessons for an extensive reuse of sensitive data in federated health research
Ronan Lyons
title_short PHIRI: lessons for an extensive reuse of sensitive data in federated health research
title_full PHIRI: lessons for an extensive reuse of sensitive data in federated health research
title_fullStr PHIRI: lessons for an extensive reuse of sensitive data in federated health research
title_full_unstemmed PHIRI: lessons for an extensive reuse of sensitive data in federated health research
title_sort PHIRI: lessons for an extensive reuse of sensitive data in federated health research
author_id_str_mv 83efcf2a9dfcf8b55586999d3d152ac6
author_id_fullname_str_mv 83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
author Ronan Lyons
author2 Juan González-García
Javier González-Galindo
Francisco Estupiñán-Romero
Martin Thißen
Ronan Lyons
Carlos Telleria-Orriols
Enrique Bernal-Delgado
format Journal article
container_title European Journal of Public Health
container_volume 34
container_issue Supplement_1
container_start_page i43
publishDate 2024
institution Swansea University
issn 1101-1262
1464-360X
doi_str_mv 10.1093/eurpub/ckae036
publisher Oxford University Press (OUP)
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 0
active_str 0
description Background: 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. Methods: 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 supported the development of four uses cases. Results: Nine participants nodes and 28 Euro-Peristat members completed the deployment of the infrastructure according to the expected outputs. As a consequence, each use case produced and published their own common data model, the analytical pipeline and the corresponding research outputs. All the digital objects were developed and published according to Open Science and FAIR principles. Conclusion: PHIRI has successfully supported the development of four use cases in a federated manner, overcoming limitations for the reuse of sensitive health data and providing a methodology to achieve interoperability in multiple research nodes.
published_date 2024-07-01T20:36:50Z
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score 11.04748