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: 2320374
• 负责人: Matthew Miller
• 金额: $ 30.9万
• 依托单位: Cornell University
• 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=2320374&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（例如康奈尔高能同步源（Chess））可以在各种科学和工程领域进行研究。这些设施为广泛的研究人员，工程师，学生，教育工作者和公众提供工具，数据，建模，计算和物理能力。但是，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，对科学家来说是一个巨大的挑战。缺乏计算和数据专业知识使科学界无法完全利用这些能力的力量，以迅速将数据转化为洞察力和知识。该项目使用国际象棋X射线设施为科学家社区开发了一项创新的培训计划，后者在材料科学，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。该项目提高了具有有限计算专业知识的研究人员的计算技能，意识和识字能力，从而加速了同步X射线科学的科学创新。集中精力的Cyber​​infrasture（CI）培训机会通常使科学家难以通过大量的工具，数据，数据，数据，以及CII的能力来实现，并提供了与科学的全部能力，以及CII的全部能力，以及CII的能力（CIRISTION）。由CI资源和服务的更广泛的NSF生态系统。 X-Cite项目将PI与CI以及X射线和相关领域科学方面的专业知识汇集在一起​​，以制定针对X射线科学用户社区的创新培训计划。培训计划涵盖了五个相关的主题领域：编程必需品，系统基础知识，使用CI生态系统，X射线科学软件以及数据策划和公平问题的分布计算。这些都提供了多种模式，例如带有笔记本，视频和CI目录的自定进度培训，办公时间，面对面的教学会议，国际象棋用户研讨会以及域名会议的教程。 X-Cite通过建立包括（a）利用X射线设施的不同领域科学社区的协调网络来促进社区建设，（b）类似的用户设施以及（c）国家CI资源提供者，以传播和社交培训材料，以对CI进行X射线科学社区的需求，并提供CI最佳培训的CI需求。 X-Cite培训计划减少了这个重要的科学界的时间科学，并通过加速在国际棋盘和NSF CI生态系统的内部使用CI工具和资源来使访问权限。 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.