[Comparative study of medical common data models for FAIR data sharing].
Zhonghua Liu Xing Bing Xue Za Zhi
; 44(5): 828-836, 2023 May 10.
Article
in Zh
| MEDLINE
| ID: mdl-37221075
ABSTRACT
The common data model (CDM) is an important tool to facilitate the standardized integration of multi-source heterogeneous healthcare big data, enhance the consistency of data semantic understanding, and promote multi-party collaborative analysis. The data collections standardized by CDM can provide powerful support for observational studies, such as large-scale population cohort study. This paper provides an in-depth comparative analysis of the data storage structure, term mapping pattern, and auxiliary tools development of the three international typical CDMs, then analyzes the advantages and limitations of each CDM and summarizes the challenges and opportunities faced in the CDM application in China. It is expected that exploring the advanced technical concepts and practical patterns of foreign countries in data management and sharing will provide references for promoting FAIR (findable, accessible, interoperable, reusable) construction of healthcare big data in China and solving the current practical problems, such as the poor quality of data resources, the low degree of semantization, and the inabilities of data sharing and reuse.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Information Dissemination
/
Big Data
Type of study:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Country/Region as subject:
Asia
Language:
Zh
Journal:
Zhonghua Liu Xing Bing Xue Za Zhi
Year:
2023
Document type:
Article
Affiliation country:
China