Gao Frank, Tao Liang, Huang Yu, Shu Zhiquan
School of Public Affairs, University of Science and Technology of China, Hefei, Anhui, China.
Department of Mechanical Engineering, University of California-Berkeley, Berkeley, California, USA.
Biopreserv Biobank. 2020 Dec;18(6):570-580. doi: 10.1089/bio.2020.0134.
The coronavirus disease 2019 (COVID-19) is an ongoing global pandemic caused by severe acute respiratory syndrome coronavirus 2. During the past 10 months, COVID-19 has killed over 1 million people worldwide. Under this global crisis, data sharing and management of the COVID-19 information are urgently needed and critical for researchers, epidemiologists, physicians, bioengineers, funding agencies, and governments to work together in developing new vaccines, drugs, methods, therapeutics, and strategies for the prevention and treatment of this deadly and rapidly spreading disease. The COVID-19 pandemic information includes the database of COVID-19-patient biospecimen resources in hospitals or biorepositories, electronic patient health records, ongoing clinical trials and research results on this disease, policies, guidelines, and regulations related to COVID-19, and the COVID-19 outbreak tracking records, and so on. A study of the current management and data-sharing approaches, tools, software, network, and internet systems developed in the United States is conducted in this article. Based on this study, it is revealed that the existing data-sharing and management systems are facing many big challenges and problems associated with data decentralization, inconsistencies, security and legal issues, limited financial support, international communications, standardization, and globalization. To overcome and solve these problems, several integrated platform models for national and international data-sharing and management are developed and proposed in this article to meet the unprecedented need and demand for COVID-19 pandemic information sharing and research worldwide.
2019冠状病毒病(COVID-19)是由严重急性呼吸综合征冠状病毒2引发的一场持续的全球大流行。在过去10个月里,COVID-19已在全球造成超过100万人死亡。在这场全球危机之下,COVID-19信息的数据共享与管理对于研究人员、流行病学家、医生、生物工程师、资助机构及政府共同研发新疫苗、药物、方法、治疗手段以及预防和治疗这种致命且迅速传播疾病的策略而言,是迫切需要且至关重要的。COVID-19大流行信息包括医院或生物样本库中COVID-19患者生物样本资源数据库、电子患者健康记录、关于该疾病的正在进行的临床试验及研究结果、与COVID-19相关的政策、指南和法规,以及COVID-19疫情追踪记录等等。本文对美国目前开发的管理及数据共享方法、工具、软件、网络和互联网系统进行了一项研究。基于该研究发现,现有的数据共享和管理系统面临着诸多重大挑战和问题,这些问题涉及数据分散、不一致、安全和法律问题、资金支持有限、国际通信、标准化以及全球化等方面。为克服和解决这些问题,本文开发并提出了几种用于国内和国际数据共享与管理的集成平台模型,以满足全球对COVID-19大流行信息共享及研究前所未有的需求。