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The Importance of Being FAIR and FAST - The Clinical Epidemiology and Study Platform of the German Network University Medicine (NUKLEUS).
Krefting, Dagmar; Anton, Gabi; Chaplinskaya-Sobol, Irina; Hanss, Sabine; Hoffmann, Wolfgang; Hopff, Sina M; Kraus, Monika; Lorbeer, Roberto; Lorenz-Depiereux, Bettina; Illig, Thomas; Schäfer, Christian; Schaller, Jens; Stahl, Dana; Valentin, Heike; Heuschmann, Peter; Vehreschild, Janne.
  • Krefting D; Dpt. of Medical Informatics, University Medical Center Göttingen, German Center for Cardiovascular Research (DZHK) partner site Göttingen, Germany.
  • Anton G; Campus Institute Data Science (CIDAS), Georg-August-University Göttingen, Germany.
  • Chaplinskaya-Sobol I; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Hanss S; Dpt. of Medical Informatics, University Medical Center Göttingen, German Center for Cardiovascular Research (DZHK) partner site Göttingen, Germany.
  • Hoffmann W; Dpt. of Medical Informatics, University Medical Center Göttingen, German Center for Cardiovascular Research (DZHK) partner site Göttingen, Germany.
  • Hopff SM; Institute for Community Medicine, University Medicine Greifswald, Germany.
  • Kraus M; Faculty of Medicine, University of Cologne, Department I of Internal Medicine, University Hospital Cologne, Germany.
  • Lorbeer R; Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Cologne, Germany.
  • Lorenz-Depiereux B; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Illig T; Medical Heart Center and Institute of Computer-assisted Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Germany.
  • Schäfer C; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Schaller J; Hannover Unified Biobank, Hannover Medical School, Hannover, Germany.
  • Stahl D; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Germany.
  • Valentin H; Medical Heart Center and Institute of Computer-assisted Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Germany.
  • Heuschmann P; Independent Trusted Third Party of the University Medicine Greifswald, Germany.
  • Vehreschild J; Independent Trusted Third Party of the University Medicine Greifswald, Germany.
Stud Health Technol Inform ; 302: 93-97, 2023 May 18.
Artículo en Inglés | MEDLINE | ID: covidwho-2324218
ABSTRACT
The COVID-19 pandemic has urged the need to set up, conduct and analyze high-quality epidemiological studies within a very short time-scale to provide timely evidence on influential factors on the pandemic, e.g. COVID-19 severity and disease course. The comprehensive research infrastructure developed to run the German National Pandemic Cohort Network within the Network University Medicine is now maintained within a generic clinical epidemiology and study platform NUKLEUS. It is operated and subsequently extended to allow efficient joint planning, execution and evaluation of clinical and clinical-epidemiological studies. We aim to provide high-quality biomedical data and biospecimens and make its results widely available to the scientific community by implementing findability, accessibility, interoperability and reusability - i.e. following the FAIR guiding principles. Thus, NUKLEUS might serve as role model for FAIR and fast implementation of clinical epidemiological studies within the setting of University Medical Centers and beyond.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 / Medicina Tipo de estudio: Estudio de cohorte / Estudio experimental / Estudio observacional / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2023 Tipo del documento: Artículo País de afiliación: Shti230071

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 / Medicina Tipo de estudio: Estudio de cohorte / Estudio experimental / Estudio observacional / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2023 Tipo del documento: Artículo País de afiliación: Shti230071