Discussion on the sharing mechanism of cerebration of constructing the sharing platform for respiratory disease biobank
10.3760/cma.j.cn113565-20200509-00154
- VernacularTitle:呼吸疾病生物样本库共享机制探讨
- Author:
Wenting LUO
1
;
Pan CHEN
;
Yongjie DING
;
Zhiyuan ZHENG
;
Bingrong ZHAO
;
Chuangli HAO
;
Dongbo TIAN
;
Chunhua WEI
;
Xueqin LI
;
Qingyun LI
;
Jinping ZHENG
Author Information
1. 广州医科大学附属第一医院 国家呼吸系统疾病临床医学研究中心 呼吸疾病国家重点实验室 广州呼吸健康研究院 呼吸疾病生物样本库 510120
- Keywords:
Respiratory diseases;
Biobank;
Sharing strategy;
Resource sharing platform
- From:
Chinese Journal of Medical Science Research Management
2021;34(1):12-17
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Standardized sample resources and high-quality clinical big data are important resources for medical research, only through resource sharing can maximize its utilization.Which can be utilized to the max only through resource sharing.Methods:This paper attempts to explore the sharing mechanism of the resource sharing platform and proposes some aspects such as the platform construction background, management regulations, legal ethical system, data sharing principles, benefit distribution, etc.This article attempts to explore the sharing mechanism based on the resource sharing platform of the respiratory disease biobank, proposes the contents that should be included in the sharing mode.Detailed information including the platform construction background, management procedures, legal and ethical system, data sharing principles and benefit distribution should take into consideration in the operating mechanism of the platform.Results:Establishing a resource sharing platform matches the development of clinical research in China.The tailored sharing model which is suitable for the field of respiratory diseases will also guide the rapid development of clinical research.Conclusions:The construction of a respiratory disease biobank sharing platform is conducive to promoting the opening and sharing of biological samples and information resources in the context of big data.