Standards and tools for data monitoring in observational studies (STANS)
Dr. Henning Silber
Team
Dr. Nivedita Bhaktha
Dr. Clemens Lechner
Prof. Dr. Beatrice Rammstedt
Abstract
The work
packages of this research project target expanded analysis tools,
cross-disciplinary standards, and guidance materials to foster the sustainable
and widespread use of our developments on harmonized data quality analyses in
cohort studies and observational health research. The first objective is to
improve the scope and methodology of data quality assessments. We will improve
transdisciplinary exchange by utilizing the overlap across epidemiological and
social science data collection methods. GESIS will contribute its expertise to
reveal important yet uncovered issues in the current data quality concept, such
as adverse response behaviors. Vice versa, no comparable data quality framework
exists in the social sciences. The current data quality concept may be of
substantial use for observational studies in this field. Second, we will derive
methods for the automated grading of data quality issues with a focus on
observer, device, and center effects as well as time trends. The second
objective targets the FAIRness – findability, accessibility, interoperability,
and reusability - of data quality assessments.
01.01.2023 – 31.12.2024
- Universität Greifswald
- Leibniz Institute for Prevention Research and Epidemiology
- Westfälische Wilhelms-Universität Münster WWU Münster
- Universitätsklinikum Freiburg