Human genetic resources management practices from the perspective of National Medical Center
10.3760/cma.j.cn113565-20240725-00187
- VernacularTitle:国家医学中心视角下的人类遗传资源管理实践
- Author:
Yanying LI
1
;
Yingcheng WU
Author Information
1. 复旦大学附属中山医院科研处，上海 200032
- Publication Type:Journal Article
- Keywords:
Human genetic resource;
Data;
Security risk management;
Practices;
Considerations;
Personnel training
- From:
Chinese Journal of Medical Science Research Management
2025;38(3):233-239
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Human genetic resources are valuable biological resources with significant importance in medical research, population genetics, and other fields. This paper focuses on ″human genetic resources data management″, analyzing the management practices at National Medical Center Fudan University Zhongshan Hospital, and proposing optimization strategies for current management issued to enhance data security protection and compliance.Methods:Based on case analysis methodology, this study systematically reviewed the hospital′s human genetic resources data management practices. Through statistical correlation analysis, the relationship between resource application quantities and applicants′ research outputs was validated.Results:The findings revealed that basic research dominates human genetic resources applications, primarily focusing on genetic testing, drug trials, and neoadjuvant therapies. Correlation analysis demonstrated a significant positive correlation between the number of human genetic resources applications and applicants′ research outputs, indicating that utilization of human genetic resources was closely related to research productivity.Conclusions:Based on the main issues identified at the hospital management level, optimization measures such as refining management scope, technological innovation empowerment, data standardization, and data interoperability are beneficial for enhancing data security protection and compliance. It is necessary to establish relevant training systems and implementation standards to ensure the safe and effective management of human genetic resources data.
