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Interactive Feedback of Data Quality in Clinical Research. A Case Study from an Infectious Diseases Cohort.

Glöckner, Stephan
; 
Schindler, Daniela
; 
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Issue Date
2018-01-01
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Abstract
To improve data quality, clinical cohort studies require ongoing centralized data monitoring. Results of data quality monitoring are often reported in a general format, without individual feedback for different types of users within the research consortium. Several R packages provide the possibility for an easy to use approach to analyze and communicate information in interactive web-based forms. This article describes a pilot, which is applied in a German infectious disease cohort using interactive feedback and gamification to report data quality, to ultimately increase the quality of research outcomes.
Citation
Affiliation
HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.
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Journal
URI
http://hdl.handle.net/10033/621548
DOI
10.3233/978-1-61499-896-9-23
PubMed ID
30147033
PubMed Central ID
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Article
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ISSN
0926-9630
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Attribution-NonCommercial-ShareAlike 3.0 United States
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publications of the research group of epidemiology (EPID)