1.

Record Nr.

UNINA9910372783303321

Autore

Nonnemacher Michael

Titolo

Datenqualität in der medizinischen Forschung [[electronic resource]]

Pubbl/distr/stampa

Berlin, : MWV Medizinisch Wissenschaftliche Verlagsgeschellschaft, 2014

ISBN

3-95466-374-0

Descrizione fisica

1 online resource (244)

Collana

Schriftenreihe der TMF - Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V., Bd. 4

Soggetti

Epidemiology & medical statistics

Lingua di pubblicazione

Tedesco

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

The benefit of cohort studies and registers in patient-oriented collaborative research depends largely on the quality of the data recorded there. Supply and quality research depend on scientifically proven methods and procedures to ensure high data quality. This guideline contains corresponding recommendations for the management of data quality in registers, cohort studies and data repositories. In the second edition, a significantly expanded set of indicators is provided and the use of the indicators is described as an example for different types of empirical research projects. The guideline is rounded off by a current literature review and analysis. It is therefore an important part of the range of measures to improve and ensure data quality in medical research.