Teaching & Research
at the UW/H
Teaching & Research
at the UW/H
You are here:
Medical research data
Taking medical research as an example, research data includes the following data:
- Image data from imaging procedures (e.g. MRT)
- Sensor data from biosignal or vital parameter measurements (e.g. ECG, EEG)
- Biomaterial data from laboratory tests (e.g. blood samples, genome data)
- Findings data from medical diagnostics (e.g. medical history)
- Statistical data (e.g. from anonymized diagnostic data)
- Classifications and codes for diseases or materials (e.g. International Statistical Classification of Diseases and Related Health Problems (ICD))
- Patient administration master data (e.g. from hospital information systems)
ZB MED
The ZB MED infrastructure and research center for life science information supports research data management. It offers nationwide access to current electronic life science information (remote access license) and is also involved in transformative procurement and the transition from traditional subscription models to publication-based cost models. The ZB MED cooperates with various partners throughout Germany.
- Charité – Universitätsmedizin Berlin, Berlin Institute of Health
- Leibniz Institute for Prevention Research and Epidemiology – BIPS
- German Institute for Human Nutrition Potsdam-Rehbrücke – DIfE
- Fraunhofer Society (Fraunhofer Institute for Applied Information Technology – FIT; Fraunhofer Institute for Digital Medicine – MEVIS; Fraunhofer Institute for Algorithms and Scientific Computing SCAI)
- Heidelberg Institute for Theoretical Studies – HITS
- Network of Coordinating Centers for Clinical Trials – KKSN
- Max Delbrück Center for Molecular Medicine – MDC
- Robert Koch Institute – RKI
- Technology, Methods, and Infrastructure for Networked Medical Research – TMF
- University of Bonn (Institute for Agricultural Science)
- University of Bremen (Institute for Information, Health and Medical Law – IGMR)
- University of Cologne (University and City Library of Cologne)
- University of Leipzig (Institute for Medical Informatics, Statistics and Epidemiology (IMISE); LIFE-Research Centre for Civilisation Diseases; Centre for Clinical Trials (ZKS))
- University of Applied Sciences Mittweida (Faculty Applied Computer and Bio Sciences)
- University of Göttingen (University Medical Center)
- University of Greifswald (Institute for Community Medicine)
NFDI4Health
As a consortium, NFDI4Health is part of the National Research Data Infrastructure (NFDI) and focuses on research in epidemiology, healthcare and in connection with clinical studies. The collection and analysis of research data on the state of health and disease and their influencing factors are an essential component for the development of new therapies, care approaches and preventive measures in a modern healthcare system. The NFDI4Health consortium aims to improve the conditions for researchers to obtain information about these studies quickly and easily. It also aims to lower the barriers to data sharing.
Literature
There is further literature on medical research data, which we would like to draw your attention to at this point.
- Schickhardt, C., Winkler, E., Sax, U. et al. Dateninfrastrukturen für die Gesundheitsforschung. Bundesgesundheitsbl 66, 160–167 (2023): https://doi.org/10.1007/s00103-022-03648-2
- Spitz M, Cornelius K (2022): Einwilligung und gesetzliche Forschungsklausel als Rechtsgrundlagen für die Sekundärnutzung klinischer Daten zu Forschungszwecken. MedR 40:191–198
- Fröhlich W, Spiecker gen. Döhmann I (2022): Die breite Einwilligung (Broad Consent) in die Datenverarbeitung zu medizinischen Forschungszwecken – der aktuelle Irrweg der MII. GesR 6:346–353
- Forschungsergebnisse NFDI4Health: https://www.nfdi4health.de/aktuelles/forschungsergebnisse.html
- Fluck, Juliane, Birte Lindstädt, Wolfgang Ahrens, Oya Beyan, Benedikt Buchner, Johannes Darms, Ralf Depping, Jens Dierkes, Hubertus Neuhausen, Wolfgang Müller, Hajo Zeeb, Martin Golebiewski, Markus Löffler, Matthias Löbe, Frank Meineke, Sebastian Klammt, Holger Fröhlich, Horst Hahn, Matthias Schulze, Tobias Pischon, Ute Nöthlings, Ulrich Sax, Harald Kusch, Linus Grabenhenrich, Carsten Oliver Schmidt, Dagmar Waltemath, Sebastian Semler, Juliane Gehrke, Toralf Kirsten, Fabian Praßer, Sylvia Thun, Lothar Wieler, und Iris Pigeot. 2021. „NFDI4Health – Nationale Forschungsdateninfrastruktur für Personenbezogene Gesundheitsdaten“. Bausteine Forschungsdatenmanagement, Nr. 2 (Juli). German:72-85: https://doi.org/10.17192/bfdm.2021.2.8331
- Pigeot I, Intemann T, Kollhorst B, Sax U, Ahrens W. FAIRifizierung von Real World Data für die Gesundheitsforschung – Ein Petitum für modernes Record Linkage. Prävention und Gesundheitsförderung. 2023; (Epub 2022 Sep 28): https://doi.org/10.1007/s11553-022-00973-x