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An Open Information Model-Based Repository for Sustainable Re-Use of Heterogeneous Pandemics Research Data.
Scheuermann, Kristina; Hufeland, Philip; Haarbrandt, Birger; Hanss, Sabine; Joseph, Mareike; Kohler, Severin; Krefting, Dagmar; Richter, Jendrik; Tute, Erik; Wolf, Klaus-Hendrik; Marschollek, Michael.
Afiliação
  • Scheuermann K; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Germany.
  • Hufeland P; Department for Medical Informatics, University Medical Center Göttingen, Germany.
  • Haarbrandt B; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Germany.
  • Hanss S; Department for Medical Informatics, University Medical Center Göttingen, Germany.
  • Joseph M; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Germany.
  • Kohler S; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Digital Health Center, Berlin, Germany.
  • Krefting D; Department for Medical Informatics, University Medical Center Göttingen, Germany.
  • Richter J; Department for Medical Informatics, University Medical Center Göttingen, Germany.
  • Tute E; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Germany.
  • Wolf KH; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Germany.
  • Marschollek M; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Germany.
Stud Health Technol Inform ; 316: 1921-1925, 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39176867
ABSTRACT
The COVID-19 Research Network Lower Saxony (COFONI) is a German state network of experts in Coronavirus research and development of strategies for future pandemics. One of the pillars of the COFONI technology platform is its established research data repository (Available at https//forschungsdb.cofoni.de/), which enables provision of pseudonymised data and cross-location data retrieval for heterogeneous datasets. The platform consistently uses open standards (openEHR) and open source components (EHRbase) for its data repository, taking into account the FAIR criteria. Available data include both clinical and socio-demographic patient information. A comprehensive AQL query builder interface and an integrated research request process enable new research approaches, rapid cohort assembly and customized data export for researchers from participating institutions. Our flexible and scalable platform approach can be regarded as a blueprint. It contributes, to pandemic preparedness by providing easily accessible cross-location research data in a fully standardised and open representation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article