摘要
呼吸系统疾病是人类常见的疾病,其具有较高的发病率和病死率,影响人类的健康和降低患者的生活质量。临床患者的生物样本是疾病研究的基础,生物样本库的发展将促进疾病的研究。通过有效途径实现生物样本和数据资源共享是提高科研研究效率的关键。本文阐述了资源共享平台的开发与应用,包括平台构建背景、门户网站和移动终端的简介、平台的数据架构、安全的管控措施、共享的伦理机制,以及如何利用平台实现资源共享、平台应用的方向和预计达成的目标等。开展呼吸疾病领域的资源共享服务,以期吸引更多单位的交流与合作,共同为呼吸疾病诊疗与研究领域做出贡献。
Respiratory diseases are common diseases in human beings,which have high rates of morbidity and mortality,affecting human health and reducing the quality of life of patients.Biological samples of clinical patients are the basis of disease research.The development of biological bank will promote disease research.Sharing biological samples and data resources through effective ways is the key to improve the efficiency of scientific research.This paper expounds the development and application of the resource sharing platform,including the construction background of the sharing platform,introduction of website and mobile terminal,data architecture,security control measures,sharing mechanism,how to use the platform to realize the resource sharing,direction of platform application,and expected goals.This platform mainly provides resource-sharing services in the field of respiratory diseases in order to attract more institutions to participate in academic exchanges and research cooperation projects,which will make contributions to the diagnosis,treatment and research of respiratory diseases.
作者
罗文婷
陈盼
李庆云
丁永杰
陈若可
郑劲平
Luo Wenting;Chen Pan;Li Qingyun;Ding Yongjie;Chen Ruoke;Zheng Jinping(The First Affiliated Hospital of Guangzhou Medical University,National Clinical Research Center for Respiratory Disease,State Key Laboratory of Respiratory Disease,Guangzhou Institute of Respiratory Health,Respiratory Disease Biological Bank,Guangzhou 510120,China;Department of Respiratory and Critical Care Medicine,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,Institute of Respiratory Diseases,Shanghai Jiao Tong University School of Medicine,Shanghai 200000,China)
出处
《国际呼吸杂志》
2021年第6期475-480,共6页
International Journal of Respiration
基金
国家科技部重点研发项目(2018YFC1311900)
国家自然科学基金(201802076)
广东省科技计划项目(2019B030316028)
广州市科创委重点项目(201804020043)。
