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1000
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Verantwortlich
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Applicant institution: ZB MED - Information Centre for Life Sciences ; Spokesperson: Prof. Dr. Juliane Fluck ; Co-spokespersons: Prof. Dr. Wolfgang Ahrens (BIPS, Bremen), Prof. Dr. Iris Pigeot (BIPS, Bremen), Prof. Dr. Hajo Zeeb (BIPS, Bremen), Prof. Dr. Fabian Prasser (Charité/BIH, Berlin), Prof. Dr. Sylvia Thun (Charité/BIH, Berlin), Prof. Dr. Matthias Schulze (DIfE, Nuthetal), Dr. Oya Beyan (Fraunhofer, Fraunhofer FIT, Aachen), Prof. Dr. Holger Fröhlich (Fraunhofer, Fraunhofer SCAI, St. Augustin), Prof. Dr.-Ing. Horst Hahn (Fraunhofer, Fraunhofer MEVIS, Bremen), Martin Golebiewski (HITS, Heidelberg), PD Dr. Wolfgang Müller (HITS, Heidelberg), PD Dr. Sebastian Klammt (KKSN, Berlin), Prof. Dr. Tobias Pischon (MDC, Berlin), Annette Polly (MRI, Karlsruhe), Dr. Thilo Muth (RKI, Berlin), Prof. Dr. Lothar H. Wieler (RKI, Berlin), Dr. Annette Pollex-Krüger (TMF, Berlin), Sebastian C. Semler (TMF, Berlin), Prof. Dr. Ute Nöthlings (U Bonn, Bonn), Prof. Dr. Benedikt Buchner (U Bremen, Bremen), Ralf Depping (U Cologne, USB, Cologne), Dr. Jens Dierkes (U Cologne, USB, Cologne), Dr. Hubertus Neuhausen (U Cologne, USB, Cologne), Dr. Oana Brosteanu (U Leipzig, ZKS, Leipzig), Matthias Löbe (U Leipzig, IMISE, Leipzig), Prof. Dr. Markus Löffler (U Leipzig, IMISE, LIFE, ZKS, Leipzig), Dr. Frank Meineke (U Leipzig, IMISE, Leipzig), Prof. Dr.-Ing. Toralf Kirsten (UAS Mittweida, Mittweida), Dr. Harald Kusch (UM Göttingen, Göttingen), Prof. Dr. Ulrich Sax (UM Göttingen, Göttingen), Prof. Dr. Carsten Oliver Schmidt (UM Greifswald, Greifswald), Prof. Dr.-Ing. Dagmar Waltemath (UM Greifswald, Greifswald), Prof. Dr. Konrad Förstner (ZB MED, Cologne), Birte Lindstädt (ZB MED, Cologne)
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1000
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Abstract/Summary
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Germany has accumulated a wealth of health-related personal data from well-designed cohort studies and health surveillance systems (healthy individuals) as well as clinical trials (patients) that are characterised by a deep phenotyping of study subjects with ques-tionnaires, medical examinations and molecular/genetic profiling. Their longitudinal nature and high quality make these data a valuable research resource for the development of preventive and therapeutic measures on the individual and the population level. NFDI4Health represents an interdisciplinary research community by integrating major German institutions experienced as data holders, data analysts and methodology developers. It builds on established structures, competences and know-how and expects a rapidly growing support and participation of the research community. NFDI4Health aims to create the most comprehensive inventory of German epidemio-logical, public health and clinical trial data to date. NFDI4Health will build a centralised data catalogue with elaborate search functionalities, sophisticated data access manage-ment, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services will ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research will show the feasibility of a harmonised implementation of all infrastructures, tools and services in accordance with our user communities.
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