Sustainability: Open SciServer: A Sustainable Data-Driven Science Platform

数据驱动的研究是加速科学和工程所需的核心，这些科学和工程需要满足主要的社会需求，促进国民健康，并确保全球战略竞争力。利用迅速增长的数据资源的方法和想法也对社会产生广泛影响，包括使获取数据资源民主化和发展未来工业所需的多样化、熟练的劳动力。现代数据驱动型科学的核心需要多功能分析平台，为协作科学团队提供强大、廉价和可扩展的工具，用于分析大型和多样化的数据集。Open SciServer项目将现有的SciServer平台迁移到一个可以由社区大学到研究机构的研究项目使用、安装、管理和扩展的平台。该项目的一个中心目标是创建一条可持续发展的道路，这样数据提供商就可以依赖本网站的平台，实现科学数据的最新、优化使用和未来的再利用。Open SciServer项目是本网站协作数据驱动的科学平台向可持续发展的过渡。本网站是由美国国家科学基金会资助开发的跨域平台，以交互和批处理模式提供服务器端数据分析和研究以及复杂的科学工作流程。本网站有一个完善的代码库；一个成熟的用户社区；并在天文学、材料科学和工程、湍流、海洋学以及精确医学和基因组学等领域展示了对科学发现、研究和教育的影响。Open SciServer项目的具体任务包括：将CodeBase迁移到开源；创建允许修改和开发新服务的开发人员级别的文档；通过内置的监控和指标增强管理功能；以及创建分层云部署选项。这些开发结合在一起，可以很容易地被用作科学平台，以优化来自任何领域或项目的大量数据资源的使用。Open SciServer还扩大并吸引用户社区，以收集意见并改进现有架构，以促进可持续发展。提供一个强大的、开放的科学平台，通过先进计算的民主化和获取公平(可发现、可访问、可互操作、可重现)的研究数据来促进开放科学。该奖项由高级网络基础设施办公室颁发，由计算机和信息科学与工程局的信息和智能系统司以及数学和物理科学局的天文科学部联合支持。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

Data-driven research is central to the acceleration of science and engineering needed to address major societal needs, advance national health, and secure global strategic competitiveness. Methods and ideas to leverage rapidly growing data resources also provide broad impacts for society including democratization of access to data resources and development of the diverse, skilled workforce required by the industries of the future. At its core, modern data-driven science requires versatile analysis platforms that provide collaborative science teams powerful, inexpensive, and scalable tools for analysis of large and varied data sets. The Open SciServer project migrates the existing SciServer platform to one that can be used, installed, managed, and extended by research projects from community colleges to research institutions. A central goal of the project is creation of a path to sustainability so data providers can depend on the SciServer platform for up-to-date, optimized use and re-use of science data into the future. The Open SciServer project is a transition to sustainability for the SciServer collaborative data-driven science platform. SciServer is a cross-domain platform developed with NSF funding providing server-side data analysis and research with complex scientific workflows in interactive and batch mode. SciServer has a well-developed code base; an established user community; and demonstrated impact on scientific discovery, research, and education in fields as diverse as astronomy; materials science and engineering; turbulence; oceanography; and precision medicine and genomics. Specific Open SciServer project tasks include: codebase migration to open source; creation of developer-level documentation allowing modification and development of new services; enhancing administrative functions with built-in monitoring and metrics; and creation of tiered cloud-deployment options. Together these developments allow easy adoption as a science platform to optimize use of large data resources from any domain or project. Open SciServer also expands and engages the user community to gather input and refine existing architecture to facilitate sustainable development. Providing a powerful, open science platform promotes open science through democratization of advanced computing and access to FAIR (Findable, Accessible, Interoperable, Reproducible) research data.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Information and Intelligent Systems Division within the Directorate for Computer and Information Sciences and Engineering and the Division of Astronomical Sciences within the Directorate for Mathematical and Physical Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.