Establishment of national clinical medical research center data platform based on data life cycle
10.3760/cma.j.cn111325-20230804-00055
- VernacularTitle:基于数据生命周期的国家临床医学研究中心数据平台建设
- Author:
Zhongli YANG
1
;
Yang WANG
;
Xin XIA
;
Birong DONG
Author Information
1. 四川大学华西医院国家老年疾病临床医学研究中心，成都 610041
- Keywords:
Database;
Data life cycle model;
National clinical medical research center;
Integrated scientific research data platform;
Clinical research
- From:
Chinese Journal of Hospital Administration
2024;40(4):298-304
- CountryChina
- Language:Chinese
-
Abstract:
The rapid development of big data and artificial intelligence technologies has propelled the large-scale, multi-center, and diverse forms of clinical research, and how to efficiently integrate and utilize clinical research data resources has become an urgent problem to be solved. Based on the U. S. geological survey(USGS) scientific data life cycle model, the National Clinical Research Center for Geriatrics has devised the " S-C-V-C-R-A" data management platform framework, which determined six data management principles: Standardization, Controllability, Visibility, Credibility, Reliability, and Availability. By solving three key technologies: data aggregation, data standardization, and data sharing, an integrated clinical research data platform was built to realize standardized data management plans, controllable data acquisition, visible data processing, credible data analysis, reliable data storage, and accessible data publication and sharing. As of July 2023, the platform has aggregated data from 487 096 elderly patients, carried out more than 10 scientific research projects, supported over 200 collaborative innovation network units, and established four cohorts of elderly populations with distinct characteristics. The platform has achieved a one-stop, comprehensive service of data management planning, acquisition, processing, analysis, storage, publication, and sharing, thus achieving the objectives of enhancing research efficiency, promoting collaborative research, and facilitating data sharing.
