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.
Keywords: COVID-19 information management; data sharing; database; policy; research.