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[null,"1.","Record Nr.",null,"UNINA9910372783303321"]
[null,null,"Autore",null,"Nonnemacher Michael"]
[null,null,"Titolo",null,"Datenqualität in der medizinischen Forschung [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, : MWV Medizinisch Wissenschaftliche Verlagsgeschellschaft, 2014"]
[null,null,"ISBN",null,"3-95466-374-0"]
[null,null,"Descrizione fisica",null,"1 online resource (244)"]
[null,null,"Collana",null,"Schriftenreihe der TMF - Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V., Bd. 4"]
[null,null,"Soggetti",null,"Epidemiology & medical statistics"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"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."]