Google, Google Public Sector, Washington, DC 20001, USA,
Pac Symp Biocomput. 2023;28:536-540.
As biomedical research data grow, researchers need reliable and scalable solutions for storage and compute. There is also a need to build systems that encourage and support collaboration and data sharing, to result in greater reproducibility. This has led many researchers and organizations to use cloud computing [1]. The cloud not only enables scalable, on-demand resources for storage and compute, but also collaboration and continuity during virtual work, and can provide superior security and compliance features. Moving to or adding cloud resources, however, is not trivial or without cost, and may not be the best choice in every scenario. The goal of this workshop is to explore the benefits of using the cloud in biomedical and computational research, and considerations (pros and cons) for a range of scenarios including individual researchers, collaborative research teams, consortia research programs, and large biomedical research agencies / organizations.
随着生物医学研究数据的增长,研究人员需要可靠和可扩展的存储和计算解决方案。还需要构建鼓励和支持协作和数据共享的系统,以实现更高的可重复性。这导致许多研究人员和组织使用云计算[1]。云不仅为存储和计算提供了可扩展的按需资源,还为虚拟工作期间的协作和连续性提供了支持,并可以提供卓越的安全性和合规性功能。然而,迁移到云资源或增加云资源并非微不足道或无成本,并且在每种情况下都不一定是最佳选择。本次研讨会的目的是探讨在生物医学和计算研究中使用云的好处,以及在各种场景(包括个人研究人员、合作研究团队、联盟研究计划以及大型生物医学研究机构/组织)下使用云的考虑因素(优缺点)。