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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 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.
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1 Data Sciences for Health Services and Policy Research, Institute for Health Sciences in Aragón (IACS), Zaragoza, Spain
2 Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
3 Population Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University , Swansea, Swansea, UK