Collaborative Research: CyberTraining: Implementation: Medium: CyberInfrastructure Training and Education for Synchrotron X-Ray Science (X-CITE)

美国国家科学基金会的主要研究和用户设施，如康奈尔高能同步加速器源(CHESS)，使各种科学和工程领域的研究成为可能。这些设施为广大研究人员、工程师、学生、教育工作者和公众提供仪器、数据、建模、计算和物理功能。然而，对科学家来说，有效利用科学设施本身以及国家计算和数据服务提供的计算能力和数据资源一直是一项严峻的挑战。由于缺乏计算和数据专业知识，科学界无法充分利用这些能力的力量，迅速将数据转化为洞察力和知识。该项目为使用国际象棋同步加速器X射线设备的科学家社区开发了一个创新的培训计划，他们进行材料科学、物理、化学、生物、环境科学和其他领域的研究。培训材料和相关的培训活动有助于减少使用国际象棋工具、数据和工具的障碍，并使科学家能够有效地利用国家计算资源和服务，如NSF提供的资源和服务。该项目提高了计算专业知识有限的研究人员的计算技能、意识和素养，从而加速了同步辐射X射线科学的科学创新。缺乏有针对性的网络基础设施(CI)培训机会往往使科学家难以充分利用康奈尔高能同步加速器源(CHESS)等大型科学用户设施以及更广泛的NSF CI资源和服务生态系统提供的仪器、数据、工具和CI资源的全部潜力。X-Cite项目汇集了具有CI以及X射线和相关领域科学专业知识的PI，以开发针对X射线科学用户社区的创新培训计划。培训方案涵盖五个相关主题领域：编程要点、系统基础、与CI生态系统的分布式计算、X射线科学软件以及数据管理和公平问题。它们以多种模式提供，如使用笔记本、视频和CI目录进行自定进度的培训、办公时间、面授课程、国际象棋用户研讨会和领域会议的教程。X-CITE通过发展一个协调网络促进社区建设，该网络包括：(A)利用X射线设施的不同领域科学社区，(B)类似的用户设施，以及(C)国家传播信息资源提供者，以传播和社会化培训材料，传播X射线科学界的传播传播信息需求，并交流传播传播信息培训的最佳做法。X-Cite培训计划通过加速采用国际象棋内部和NSF CI生态系统提供的CI工具和资源，减少了这个重要科学界进入科学的时间，并使访问民主化。X-CITE提高了X射线科学研究人员的CI技能、意识和识字能力，对CI专业知识有限的受训者产生了积极影响，来自代表不足的社区，并代表了多种科学学科。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

NSF Major Research and User Facilities like Cornell High Energy Synchrotron Source (CHESS) enable research in a variety of science and engineering areas. These facilities provide instruments, data, modeling, computing, and physical capabilities to the broad community of researchers, engineers, students, educators, and the public. However, effectively utilizing the computing capabilities and data resources offered both by the scientific facilities themselves and by the national computing and data services, has been a steep challenge for scientists. The lack of computing and data expertise prevents the scientific community from fully harnessing the power of these capabilities to expeditiously transform data into insights and knowledge. This project develops an innovative training program for the community of scientists using the CHESS synchrotron X-ray facility, who conduct research in materials science, physics, chemistry, biology, environmental science, and other domains. The training materials and associated training activities help reduce barriers to the use of CHESS instruments, data, and tools and enable scientists to effectively utilize the national computing resources and services, such as those offered by the NSF. The project increases computing skills, awareness, and literacy for researchers with limited computing expertise, thereby accelerating the scientific innovations in synchrotron X-ray science.Lack of focused cyberinfrastructure (CI) training opportunities often makes it difficult for scientists to harness the full potential of the instruments, data, tools, and CI resources offered by large scientific user facilities like the Cornell High Energy Synchrotron Source (CHESS) and by the broader NSF ecosystem of CI resources and services. The X-CITE project brings together PIs with expertise in CI as well as X-ray and related domain sciences to develop an innovative training program targeting the X-ray science user community. The training program covers five relevant thematic areas: programming essentials, systems fundamentals, distributed computing with the CI ecosystem, X-ray science software, and issues of data curation and FAIR. These are offered in a multitude of modes like self-paced training with notebooks, videos, and CI catalogs, office hours, in-person instruction sessions, CHESS user workshops, and tutorials at domain conferences. X-CITE promotes community building by developing a coordination network comprising (a) different domain science communities that leverage X-ray facilities, (b) similar user facilities, and (c) national CI resource providers, to disseminate and socialize the training materials, to communicate the CI needs for the X-ray science community, and to exchange best practices for CI training. The X-CITE training program reduces time-to-science for this important scientific community and democratizes access by accelerating adoption of CI tools and resources available both internally at CHESS and from the NSF CI ecosystem. X-CITE increases CI skills, awareness, and literacy for X-ray science researchers, positively impacting trainees with limited CI expertise, from underrepresented communities, and representing a multitude of scientific disciplines.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.