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dc.contributor.authorGlöckner, Stephan
dc.contributor.authorSchindler, Daniela
dc.contributor.authorKarch, André
dc.date.accessioned2018-11-09T09:38:16Z
dc.date.available2018-11-09T09:38:16Z
dc.date.issued2018-01-01
dc.identifier.issn0926-9630
dc.identifier.pmid30147033
dc.identifier.doi10.3233/978-1-61499-896-9-23
dc.identifier.urihttp://hdl.handle.net/10033/621548
dc.description.abstractTo 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.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectData qualityen_US
dc.subjectdashboardsen_US
dc.subjectgamificationen_US
dc.subjectinfectious disease cohorten_US
dc.subjectinteractive feedbacken_US
dc.titleInteractive Feedback of Data Quality in Clinical Research. A Case Study from an Infectious Diseases Cohort.en_US
dc.typeArticleen_US
dc.contributor.departmentHZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.en_US
refterms.dateFOA2018-11-09T09:38:16Z
dc.source.journaltitleStudies in health technology and informatics


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