Kapsner L, Mang JM, Mate S, Seuchter SA, Vengadeswaran A, Bathelt F, Deppenwiese N, Kadioglu D, Kraska D, Prokosch HU (2021)
Publication Type: Journal article
Publication year: 2021
Book Volume: 12
Pages Range: 826-835
Journal Issue: 04
Background Many research initiatives aim at using data from electronic health records (EHRs) in observational studies. Participating sites of the German Medical Informatics Initiative (MII) established data integration centers to integrate EHR data within research data repositories to support local and federated analyses. To address concerns regarding possible data quality (DQ) issues of hospital routine data compared with data specifically collected for scientific purposes, we have previously presented a data quality assessment (DQA) tool providing a standardized approach to assess DQ of the research data repositories at the MIRACUM consortium's partner sites.
APA:
Kapsner, L., Mang, J.M., Mate, S., Seuchter, S.A., Vengadeswaran, A., Bathelt, F.,... Prokosch, H.-U. (2021). Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository. Applied Clinical Informatics, 12(04), 826-835. https://doi.org/10.1055/s-0041-1733847
MLA:
Kapsner, Lorenz, et al. "Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository." Applied Clinical Informatics 12.04 (2021): 826-835.
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