Comparative study of medical common data models for FAIR data sharing / 中华流行病学杂志

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.

Organization moclel of the German national cohort and its enlightenments / 中华医学图书情报杂志

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.

Problems in data security and privacy protection of healthcare wearable devices and measures for their solution / 中华医学图书情报杂志

The problems in data collection, data management and data security of healthcare wearable devices were summarized and analyzed with measures proposed for the solution of these problems and for speeding up the sustainable development of healthcare wearable devices from the aspects of technologies, management and laws, such as using multiple data coding technologies, establishing hierarchical data management and control model, adding remote control functions, investigating the responsibility for use of their data, working out law systems for protecting personal healthcare data,beefing up popularization of privacy data protection.