ABSTRACT
Objective To promote the effective management of population cohort data and to provide the beneficial reference for the cohort data management model in our country. Methods After a description of the German national cohort program with an international impact, its organizational model, data types and data management were sum-marized and analyzed, its research target and plan were outlined, its data collection and processing, integration and storage, quality protection and control were studied. Results Multisource data classification management prohibited the application for data and sharing of data use in tested subjects when they were using the data. Conclusion Data standards should be unified, multisource data classification storage should be implemented, the data analysis should be widened and deepened, the right of tested subjects should be made clear, and the data sharing procedure should be standardized in our country according to the inadequate domestic cohort research and the enlightenments of the German national cohort.