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

合作研究：网络培训：实施：媒介：同步加速器 X 射线科学网络基础设施培训和教育 (X-CITE)

• 批准号: 2320375
• 负责人: Ewa Deelman
• 金额: $ 31.8万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320375&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberTraining; Implementation; Medium

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.

NSF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。这些设施为广大的研究人员、工程师、学生、教育工作者和公众提供仪器、数据、建模、计算和物理能力。然而，有效利用科学设施本身和国家计算和数据服务提供的计算能力和数据资源，一直是科学家面临的严峻挑战。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，迅速将数据转化为见解和知识。该项目为使用CHESS同步加速器X射线设施的科学家社区开发了一个创新的培训计划，他们在材料科学，物理，化学，生物学，环境科学和其他领域进行研究。培训材料和相关的培训活动有助于减少使用CHESS仪器，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，例如NSF提供的资源和服务。该项目提高了计算技能，意识和识字的研究人员与有限的计算专业知识，从而加速同步加速器X射线科学的科学创新。缺乏集中的网络基础设施（CI）培训机会往往使科学家难以利用仪器，数据，工具，以及由大型科学用户设施（如康奈尔高能同步加速器源（CHESS））和更广泛的NSF CI资源和服务生态系统提供的CI资源。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。该培训计划涵盖五个相关的主题领域：编程要点，系统基础，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FAIR问题。这些都是提供了多种模式，如自定进度的培训与笔记本电脑，视频和CI目录，办公时间，在人的指令会话，国际象棋用户研讨会，并在域会议教程。X-CITE通过开发一个协调网络来促进社区建设，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CI资源提供者，以传播和社会化培训材料，传达X射线科学社区的CI需求，并交流CI培训的最佳实践。X-CITE培训计划缩短了这一重要科学社区的科学时间，并通过加速采用CHESS内部和NSF CI生态系统提供的CI工具和资源来实现访问民主化。X-CITE提高了X射线科学研究人员的CI技能，意识和素养，积极影响了来自代表性不足的社区并代表众多科学学科的CI专业知识有限的受训者。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。