National Population Health Data Center
Short description
The National Population Health Data Center (NPHDC) is a national-level scientific data infrastructure supporting research in medicine and public health. The Population Health Data Archive (PHDA), developed by the Institute of Medical Information of the Chinese Academy of Medical Sciences, collects and manages scientific data from national research projects as well as from healthcare institutions and research organizations.
The repository covers a wide range of health-related fields including basic medicine, clinical medicine, genomics, epidemiology, public health, and traditional Chinese medicine. With a total repository size of approximately 1.2 PB, it provides data services to support research, policy development, and international collaboration in population health.
| Key information | |
|---|---|
| Discipline |
Medicine, Public Health, Epidemiology, Genetics, Clinical Medicine, Pharmacy |
| Institution | Chinese Academy of Medical Sciences (CAMS) |
| Languages | Chinese |
| Repository access | Open |
| Data access | Open |
| Access requirements | No specific access restrictions for data download are indicated; some services may require registration. |
| International usability |
Limited due to the Chinese-language interface, although data access itself is generally open. |
| Website | https://www.ncmi.cn/Externer Link |
| re3data | https://www.re3data.org/repository/r3d100013199Externer Link |
Video tutorial
The repository provides illustrated documentation explaining how to search for datasets and retrieve population health data through the platform interface.
Access notes
The platform is open to users and provides access to a wide range of health-related datasets. Some platform services may require account registration, particularly for advanced features or data submission.
Repository overview
The National Population Health Data Center archives and manages scientific data covering the entire lifecycle of population health research, including data collection, storage, curation, verification, and publication.
Its datasets span numerous medical disciplines, including public health, clinical medicine, genomics, reproductive medicine, and traditional Chinese medicine, supporting research, healthcare innovation, and national health strategies.