Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository

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

Journal

Applied Clinical Informatics Thieme Publishing

Book Volume: 12

Pages Range: 826-835

Journal Issue: 04

DOI: 10.1055/s-0041-1733847

Abstract

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.

Authors with CRIS profile

Lorenz Kapsner Medizinisches Zentrum für Informations- und Kommunikationstechnik (Medizinisches IK-Zentrum, MIK) Sebastian Mate Lehrstuhl für Medizinische Informatik Noemi Deppenwiese Lehrstuhl für Medizinische Informatik Hans-Ulrich Prokosch Lehrstuhl für Medizinische Informatik

Involved external institutions

Goethe-Universität Frankfurt am Main

Germany (DE) Technische Universität Dresden

Germany (DE)

How to cite

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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