Protocol: Federated analysis of Randomized Controlled Trial and Real-World data across two Trusted Research Environments to compare comorbidities in older adults vaccinated against COVID-19
Year: 2025
Type: article
Abstract: The EOSC-ENTRUST project aims to create a European network of Trusted Research Environments (TREs) for sensitive data and drive European interoperability through the development of a common blueprint for federated data access and analysis. EOSC-ENTRUST has four drivers, or use cases, which are prototypic for federated, multinational use of TREs in research practice across scientific domains and user communities. Driver 3 demonstrates the potential ability of the blueprint to bridge the traditionally very separated data domains of clinical trials and real-world health data in one solution architecture. The present document is the protocol of the prototype for EOSC-ENTRUST Driver 3, utilising individual participant data (IPD) from a randomized controlled trial (RCT) hosted in crDSR (TSD TRE), along with real-world data (RWD) hosted in the Health Informatics Centre (HIC), University of Dundee TRE with the aim of comparing comorbidities in older adults vaccinated against COVID-19.
Authors: Ohmann, Christian, Panagiotopoulou, Maria, Contrino, Sergio, Cudilla, Léopold, Hall, Chris, Guignard-Duff, Magalie, Cole, Christian, Verde, Pablo Emilio
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7094957800
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