Related Experiment Video
Updated: Jul 30, 2025

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
Published on: March 15, 2011
Cross-Registry Benchmarking of Data Quality: Lessons Learned
Jürgen Stausberg1, Sonja Harkener1, Christoph Engel2
1University Duisburg-Essen, Faculty of Medicine, IMIBE, Essen, Germany.
Abstract:
Feedback of data quality measures to study sites is an established procedure in the management of registries. Comparisons of data quality between registries as a whole are missing. We implemented a cross-registry benchmarking of data quality within the field of health services research for six projects. Five (2020) and six (2021) quality indicators were selected from a national recommendation. The calculation of the indicators was adjusted to the registries' specific settings. Nineteen (2020) and 29 results (2021) could be included in the yearly quality report. Seventy-four per cent (2020) and 79% (2021) of the results did not include the threshold in their 95%-confidence-limits. The benchmarking revealed several starting points for a weak-point analysis through a comparison of results with a predefined threshold as well as through comparisons among each other. In the future, a cross-registry benchmarking might be part of services provided through a health services research infrastructure.
Related Concept Videos
Data Reporting and Recording
Quality Assurance
Improving Translational Accuracy
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Data Validation
Key parameters for method validation include:
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

