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International Clinical Research Data Ecosystem: From Data Standardization to Federated Analysis.
Rinaldi, Eugenia; Dellacasa, Chiara; Puskaric, Miroslav; Osmo, Thomas; Gorska, Anna; Stellmach, Caroline.
Affiliation
  • Rinaldi E; Berlin Institute of Health at Charité-Universitaetsmedizin Berlin, Germany.
  • Dellacasa C; Cineca Consorzio Interuniversitario, Bologna, Italy.
  • Puskaric M; High-Performance Computing Center Stuttgart, Germany.
  • Osmo T; Centre Informatique National de l'Enseignement Supérieur, Montpellier, France.
  • Gorska A; University of Verona, Italy.
  • Stellmach C; Berlin Institute of Health at Charité-Universitaetsmedizin Berlin, Germany.
Stud Health Technol Inform ; 309: 133-134, 2023 Oct 20.
Article in En | MEDLINE | ID: mdl-37869823
ABSTRACT
Within the HORIZON 2020 project ORCHESTRA, patient data from numerous clinical studies in Europe related to COVID-19 were harmonized to create new knowledge on the disease. In this article, we describe the ecosystem that was established for the management of data collected and contributed by project partners. Study protocols elements were mapped to interoperability standards to establish a common terminology. That served as the basis of identifying common concepts used across several studies. Harmonized data were used to perform analysis directly on a central database and also through federated analysis when data was not permitted to leave the local server(s). This ecosystem facilitates the answering of research questions and generation of new knowledge available for the scientific community.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Management Limits: Humans Country/Region as subject: Europa Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2023 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Management Limits: Humans Country/Region as subject: Europa Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2023 Type: Article Affiliation country: Germany