Data quality and transparency working group

Data quality and transparency in medical research

Scientific results are only as good as the studies and data on which they are based. What constitutes high data quality is determined by numerous aspects of structural, process and outcome quality from study planning to data analysis. On the one hand, there are numerous points of reference in medicine such as good epidemiological practice, good clinical practice, good practice secondary data analysis. On the other hand, successful implementation fails too often, as shown by the existing criticism of the practice of medical research and the reporting of research results.

The question therefore arises as to how standards for study implementation, quality assurance and data analysis can be further improved and made more uniform by means of suitable recommendations, standards and tools. The necessary know-how for this is available at many locations, but in contrast to research results in the field of substance science, it has a smaller scope. This scattered know-how is to be bundled and critically reflected by its protagonists in the TMF Data qality and transparency working group in the future in order to overcome the hurdles to achieving improved and more uniform study standards.

(Letzte Aktualisierung: 03.05.2023)

Spokesperson

Prof. Dr. Dr. Carsten Oliver Schmidt 

Ernst-Moritz-Arndt-University Greifswald KöR
Institute for Community Medicine

Phone: +49 3834 867713 | E-Mail
 

Vice spokesperson

Dr. Manuel Nietert

Universitätsmedizin Göttingen
Institute for Medical Bioinformatics

Phone: +49 511 39-14920 | E-Mail
 

Contact at the TMF Office

Marcel Holick

Phone: +49 30 22 00 24 725 | E-Mail