TY - BOOK ID - 61157087 TI - Datenqualität in der medizinischen Forschung. AU - Nonnemacher, Michael AU - Nasseh, Daniel AU - Stausberg, Jürgen PY - 2014 SN - 3954663740 3954661217 PB - Berlin MWV Medizinisch Wissenschaftliche Verlagsgeschellschaft DB - UniCat KW - Medicine KW - Research KW - Methodology. KW - Health Workforce KW - Epidemiology & medical statistics KW - data repository KW - source data verification KW - cohort study KW - quality indicators UR - https://www.unicat.be/uniCat?func=search&query=sysid:61157087 AB - 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. ER -