COVID-19 data sharing and collaboration

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
D. Duncan
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引用次数: 5

Abstract

There is an immediate need to study COVID-19, and the COVID-19 Data Archive (COVID-ARC) provides access to data along with user-friendly tools for researchers to perform analyses to better understand COVID-19 and encourage collaboration on this research. The COVID-19 pandemic has been spreading rapidly across the world, and there are still many unknowns about COVID-19. There is an urgent need for scientists around the world to work together to model the virus, study how the virus has changed and will change over time, understand how it spreads, and study transmission after vaccination. COVID-ARC can also prepare scientists for future pandemics by putting the infrastructure in place to enable researchers to aggregate data and perform analyses quickly in the event of an emergency. We have developed a platform of networked and centralized web-accessible data archives to store multimodal data related to COVID-19 and make them broadly available and accessible to the world-wide scientific community to expedite research in this area. COVID-ARC provides tools for researchers to visualize and analyze various types of data as well as a website with tools for training, announcements, virtual information sessions, and a knowledgebase wherein researchers post questions and receive answers from the community.
COVID-19数据共享与协作
目前迫切需要研究COVID-19, COVID-19数据档案(COVID-ARC)为研究人员提供了数据访问和用户友好的工具,以便他们进行分析,以更好地了解COVID-19并鼓励在这项研究中开展合作。当前,新冠肺炎疫情在全球范围内迅速蔓延,人们对新冠肺炎仍有许多未知之处。世界各地的科学家迫切需要共同努力,建立病毒模型,研究病毒如何随着时间变化和将如何变化,了解病毒如何传播,并研究疫苗接种后的传播。COVID-ARC还可以通过建立基础设施使研究人员能够在紧急情况下快速汇总数据并进行分析,使科学家为未来的大流行做好准备。我们开发了一个联网和集中式网络数据档案平台,用于存储与COVID-19相关的多模式数据,并使其广泛提供给全世界科学界,以加快这一领域的研究。COVID-ARC为研究人员提供了可视化和分析各种类型数据的工具,以及一个网站,其中包含培训、公告、虚拟信息会议和知识库工具,研究人员可以在其中发布问题并从社区获得答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Communications in Information and Systems
Communications in Information and Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
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发文量
15
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