Problems in FAIRifying Medical Datasets.
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BiBTeXDespite their young age, the FAIR principles are recognised as important guidelines for research data management. Their generic design, however, leaves much room for interpretation in domain-specific application. Based on practical experience in the operation of a data repository, this article addresses problems in FAIR provisioning of medical data for research purposes in the use case of the Leipzig Health Atlas project and shows necessary future developments.
PubMed ID: 32570413
Projects: SMITH - Smart Medical Information Technology for Healthcare
Publication type: Journal article
Journal: Stud Health Technol Inform
Human Diseases: No Human Disease specified
Citation: Stud Health Technol Inform. 2020 Jun 16;270:392-396. doi: 10.3233/SHTI200189.
Date Published: 16th Jun 2020
Registered Mode: by PubMed ID
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Created: 7th Sep 2020 at 13:25
Last updated: 7th Dec 2021 at 17:58
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Medical data routinely generated in everyday clinical practice is processed and made available to medical research in a standardized form. Patients benefit from reliable research results, more precise diagnoses and better treatments. In order to link data from care and research, the participating university hospitals in Aachen, Bonn, Essen, Halle, Hamburg, Jena and Leipzig have established sustainable Data Integration Centers. The network partners Ruhr University Bochum, the Düsseldorf University ...
Programme: MII - Medical Informatics Initiative
Public web page: https://www.smith.care/
Start date: 1st Jan 2018
Projects: LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, LIFE Child, LIFE - Leipzig Research Center for Civilization Diseases, Project Test Demonstrator
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universitätsklinikum Leipzig, AöR, invalid
https://orcid.org/0000-0002-1166-0368
Profile image source: Swen Reichhold
Projects: NLP4CR - Natural Language Processing for Clinical Research, Evaluation Metadata Repository, SMITH - Smart Medical Information Technology for Healthcare, FAIR4Health, 3LGM² Enterprise Architecture Modeling, Student Thesis
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0002-2344-0426
Projects: LHA - Leipzig Health Atlas, SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks, Management of health information systems, Project Test Demonstrator, NFDI4Health - TA3 Services, NFDI4Health, Methodical Use Case PheP, STOP-NUC, BASALIT
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0002-9256-7543
I am a research associate at IMISE, Universität Leipzig.
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
Projects: Methodical Use Case PheP, SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks
