Poster ID
P-28
Poster Title
The construction of cohort data standards and management frameworks in China
Authors
Meili Chen1,2,3*, Wenming Zhao1,2,3*
1 National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China
2 Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3University of Chinese Academy of Sciences, Beijing 100049, China
* Corresponding author(s).
E-mail: zhaowm@big.ac.cn (Zhao WM), chenml@big.ac.cn (Chen ML).
1 National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China
2 Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3University of Chinese Academy of Sciences, Beijing 100049, China
* Corresponding author(s).
E-mail: zhaowm@big.ac.cn (Zhao WM), chenml@big.ac.cn (Chen ML).
Abstract
Cohort study can provide critical evidence for disease prevention and public health policy. China possesses a substantial cohort resource comprising numerous representative studies spanning natural population, cancer, and chronic disease cohorts. Yet, the current landscape is hindered by data dispersion, inconsistent standards, a paucity of sharing mechanisms, and low data utilization. To address the above problems, China National Center for Bioinformation (CNCB) is developing China Biobank to provide cohort data submission, mining and sharing. Key standards, protocols, and incentive frameworks have been established for cohort data selection, submission, processing, and sharing, to guide data aggregation, new data generation, and China Biobank development and operation, thereby promoting efficient and sustainable data sharing. The newly established data standards and management frameworks will substantially facilitate the global sharing and utilization of cohort data from China.