EAGER: Distilling a Process for a National CI Roadmap from NSF Collaboratories

许多大型NSF合作实验室正在单独解决有时非常相似的CI挑战，并使用相同的学术研究软件。这些项目在开发新的研究软件以实现合作实验室的科学目标方面也面临着非常相似的挑战。在这些项目中实现CI的对齐、重用和协调开发可能会导致一个国家CI路线图，极大地增强了美国研究和教育的基础设施。然而，在项目中期采用新的技术和方法对单个项目的科学目标的成功施加了足够高的风险，这种水平的协调和杠杆很少在深层次上经历过。本研究将探讨风险和收益，以及开发新的流程和社区，以建立协调一致的国家CI路线图。在开发协调CI的新流程时，调查人员和参与的协作实验室将审查以下问题和关注事项：外包服务的风险评估和管理以及参与和利用开发或新兴的开源软件；隐私、诚信、保证；代码管理;软件在领域科学和使能基础设施边界的分离；虚拟化;联邦身份和组管理；托管数据管理和分析产品；与校园服务的整合和依赖，与校园IT领导的沟通。

Many large NSF Collaboratories are individually solving sometimes very similar CI challenges and utilizing the same academic research software. These projects also face very similar challenges in the development of new research software necessary to achieve the science objectives of the collaboratory. Alignment, re-use and coordinated development of enabling CI across these projects could lead to a National CI Roadmap, greatly enhancing infrastructure for research and education in the US. However, adopting new technologies and approaches mid-project imposes sufficiently high risk to the success of the science goals of the individual projects that this level of coordination and leverage rarely experienced at a deep level. This research will explore the risks and benefits, and development of new processes and communities to establish a coordinated National CI Roadmap. In developing new processes for coordinated CI, the investigators and participating collaboratories will examine issues and concerns including: risk assessment and management for outsourced services and participation and utilization of developing or emerging open source software; privacy, integrity, assurances; code management; separation of software at the boundary of domain science and enabling infrastructure; virtualization; federated identity and group management; hosted data management and analytics offerings; integration with and dependence upon campus services and communicating with campus IT leadership.