PHIRI: lessons for an extensive reuse of sensitive data in federated health research
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 Re...
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Veröffentlicht in: | European journal of public health 2024-07, Vol.34 (Supplement_1), p.i43-i49 |
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container_title | European journal of public health |
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creator | González-García, Juan González-Galindo, Javier Estupiñán-Romero, Francisco Thißen, Martin Lyons, Ronan A Telleria-Orriols, Carlos Bernal-Delgado, Enrique |
description | 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.
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.
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.
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. |
doi_str_mv | 10.1093/eurpub/ckae036 |
format | Article |
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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.
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.
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.</description><identifier>ISSN: 1101-1262</identifier><identifier>ISSN: 1464-360X</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckae036</identifier><identifier>PMID: 38946447</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Data Analysis ; Humans ; Routinely Collected Health Data ; Supplement Paper</subject><ispartof>European journal of public health, 2024-07, Vol.34 (Supplement_1), p.i43-i49</ispartof><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the European Public Health Association.</rights><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the European Public Health Association. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c276t-9d9cd79c777b9d1b9a67965828d6df079ea1f61d1bf2f6963add9055013aa0533</cites><orcidid>0000-0003-3109-5586 ; 0000-0002-0961-3298 ; 0000-0002-6285-8120 ; 0000-0002-5710-5650</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,864,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38946447$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>González-García, Juan</creatorcontrib><creatorcontrib>González-Galindo, Javier</creatorcontrib><creatorcontrib>Estupiñán-Romero, Francisco</creatorcontrib><creatorcontrib>Thißen, Martin</creatorcontrib><creatorcontrib>Lyons, Ronan A</creatorcontrib><creatorcontrib>Telleria-Orriols, Carlos</creatorcontrib><creatorcontrib>Bernal-Delgado, Enrique</creatorcontrib><creatorcontrib>Population Health Information Research Infrastructure</creatorcontrib><creatorcontrib>Population Health Information Research Infrastructure</creatorcontrib><title>PHIRI: lessons for an extensive reuse of sensitive data in federated health research</title><title>European journal of public health</title><addtitle>Eur J Public Health</addtitle><description>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.
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.
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.
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.</description><subject>Data Analysis</subject><subject>Humans</subject><subject>Routinely Collected Health Data</subject><subject>Supplement Paper</subject><issn>1101-1262</issn><issn>1464-360X</issn><issn>1464-360X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkUFPwzAMhSMEYmNw5Yhy5NItadak4YLQBGzSJBAaErfIaxxa6NqRtBP8ezptIDjZsj8_W36EnHM25EyLEbZ-3S5H2TsgE_KA9PlYjiMh2cthl3PGIx7LuEdOQnhjjCUqjY9JT6S6w8aqTxaP09nT7IqWGEJdBepqT6Gi-NlgFYoNUo9tQFo7GraFZluy0AAtKurQoocGLc0Ryibv2IDgs_yUHDkoA57t44A8390uJtNo_nA_m9zMoyxWsom01ZlVOlNKLbXlSw1SaZmkcWqldUxpBO4k7zoudlJLAdZqliSMCwCWCDEg1zvd7gUrtBlWjYfSrH2xAv9laijM_05V5Oa13hjOY56ImHUKl3sFX3-0GBqzKkKGZQkV1m0wgqkxF0IlW3S4QzNfh-DR_e7hzGy9MDsvzN6LbuDi73W_-M_zxTcejojm</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>González-García, Juan</creator><creator>González-Galindo, Javier</creator><creator>Estupiñán-Romero, Francisco</creator><creator>Thißen, Martin</creator><creator>Lyons, Ronan A</creator><creator>Telleria-Orriols, Carlos</creator><creator>Bernal-Delgado, Enrique</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3109-5586</orcidid><orcidid>https://orcid.org/0000-0002-0961-3298</orcidid><orcidid>https://orcid.org/0000-0002-6285-8120</orcidid><orcidid>https://orcid.org/0000-0002-5710-5650</orcidid></search><sort><creationdate>20240701</creationdate><title>PHIRI: lessons for an extensive reuse of sensitive data in federated health research</title><author>González-García, Juan ; González-Galindo, Javier ; Estupiñán-Romero, Francisco ; Thißen, Martin ; Lyons, Ronan A ; Telleria-Orriols, Carlos ; Bernal-Delgado, Enrique</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c276t-9d9cd79c777b9d1b9a67965828d6df079ea1f61d1bf2f6963add9055013aa0533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Data Analysis</topic><topic>Humans</topic><topic>Routinely Collected Health Data</topic><topic>Supplement Paper</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>González-García, Juan</creatorcontrib><creatorcontrib>González-Galindo, Javier</creatorcontrib><creatorcontrib>Estupiñán-Romero, Francisco</creatorcontrib><creatorcontrib>Thißen, Martin</creatorcontrib><creatorcontrib>Lyons, Ronan A</creatorcontrib><creatorcontrib>Telleria-Orriols, Carlos</creatorcontrib><creatorcontrib>Bernal-Delgado, Enrique</creatorcontrib><creatorcontrib>Population Health Information Research Infrastructure</creatorcontrib><creatorcontrib>Population Health Information Research Infrastructure</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>González-García, Juan</au><au>González-Galindo, Javier</au><au>Estupiñán-Romero, Francisco</au><au>Thißen, Martin</au><au>Lyons, Ronan A</au><au>Telleria-Orriols, Carlos</au><au>Bernal-Delgado, Enrique</au><aucorp>Population Health Information Research Infrastructure</aucorp><aucorp>Population Health Information Research Infrastructure</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PHIRI: lessons for an extensive reuse of sensitive data in federated health research</atitle><jtitle>European journal of public health</jtitle><addtitle>Eur J Public Health</addtitle><date>2024-07-01</date><risdate>2024</risdate><volume>34</volume><issue>Supplement_1</issue><spage>i43</spage><epage>i49</epage><pages>i43-i49</pages><issn>1101-1262</issn><issn>1464-360X</issn><eissn>1464-360X</eissn><abstract>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.
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.
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.
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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>38946447</pmid><doi>10.1093/eurpub/ckae036</doi><orcidid>https://orcid.org/0000-0003-3109-5586</orcidid><orcidid>https://orcid.org/0000-0002-0961-3298</orcidid><orcidid>https://orcid.org/0000-0002-6285-8120</orcidid><orcidid>https://orcid.org/0000-0002-5710-5650</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Oxford Journals Open Access Collection; Alma/SFX Local Collection |
subjects | Data Analysis Humans Routinely Collected Health Data Supplement Paper |
title | PHIRI: lessons for an extensive reuse of sensitive data in federated health research |
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