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SubmittedOpen Access (License Unspecified), Open
Journal article
Measuring Data Quality: A Review of the Literature between 2005 and 2013
Studies in health technology and informatics, v 210, pp 712-716
2015
PMID: 25991245
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A literature review was done within a revision of a guideline concerned with data quality management in registries and cohort studies. The review focused on quality indicators, feedback, and source data verification. Thirty-nine relevant articles were selected in a stepwise selection process. The majority of the papers dealt with indicators. The papers presented concepts or data analyses. The leading indicators were related to case or data completeness, correctness, and accuracy. In the future, data pools as well as research reports from quantitative studies should be obligatory supplemented by information about their data quality, ideally picking up some indicators presented in this review.
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Details
- Title
- Measuring Data Quality: A Review of the Literature between 2005 and 2013
- Creators
- Jürgen Stausberg - Essen, GermanyDaniel Nasseh - Ludwig-Maximilians-Universität MünchenMichael Nonnemacher - IMIBE, Universitätsklinikum Essen, Germany
- Publication Details
- Studies in health technology and informatics, v 210, pp 712-716
- Publisher
- IOS Press
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Web of Science ID
- WOS:000455817000149
- Scopus ID
- 2-s2.0-84937426615
- Other Identifier
- 1614995125; 9781614995128; 991020099178704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Health Care Sciences & Services
- Medical Informatics