CC* NPEO: The Research and Science Engagement Center: A Production Platform for Operations, Applied Training, Monitoring, and R&E Support

科学界在进行研究的方式和发现的方式上经历了前所未有的转变。高度复杂的实验仪器为不同的科学界创造了大量的数据集，并有可能获得对社会产生长期影响的新见解。然而，如果科学家不能移动、存储和分析这些数据，他们就不能有效地利用这些数据。该项目建立了研究和科学参与中心（ReSEC），作为操作专业知识和分析的协作焦点。该项目将帮助科学家进行常规、可靠和稳健的数据传输。ReSEC将提供端到端的用户支持和网络工程解决方案，并成为一个中央社区枢纽，随时准备提供个性化的专业知识和持续的帮助。ReSEC提出了四个主要的执行重点：1)一个路边援助中心，对科学数据传输的即时问题做出反应；2)使用perfSONAR和NetSage等工具进行主动网络观测；3)协助设计和部署校园网络资产，如科学dmz；4)校园网管理员的培训。ReSEC将依靠区域网络、基础设施和科学社区合作伙伴来扩大运营规模。该中心将持续不断地提供专门知识和援助，特别强调为当地网络行政资源相对有限的教育机构提供服务。该奖项反映了美国国家科学基金会的法定使命，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。

The scientific community has experienced an unprecedented shift in the wayresearch is performed and how discoveries are made. Highly sophisticated experimental instruments arecreating massive datasets for diverse scientific communities and hold the potential for new insights thatwill have long-lasting impacts on society. However, scientists cannot make effective use of this data ifthey are unable to move, store, and analyze it. This project establishes the Research and ScienceEngagement Center (ReSEC) as a collaborative focal point for operational expertise and analysis.This project will assist scientists in routinely, reliably, and robustly transferring their data.ReSEC will deliver end-to-end user support and network engineering solutions,and become a central community hub ready to provide personalized expertise and assistance on an ongoing basis.ReSEC proposes four primary execution thrusts: 1) a Roadside Assistance center to reactivelyrespond to immediate problems with science data transfers; 2) proactive network observationusing tools such as perfSONAR and NetSage; 3) assistance with design & deployment of campusnetworking assets such as Science DMZs; and 4) training for campus network administrators.ReSEC will scale operations broadly by relying on Regional Network, Infrastructure and Science Community partners.ReSEC will deliver expertise and assistance on a sustainable, ongoing basis, with a particular emphasison serving educational institutions with relatively limited local network administrative resources.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.