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如何发现方面经历了前所未有的转变。高度复杂的实验仪器正在为不同的科学界创建海量数据集，并拥有对社会产生长期影响的新见解的潜力。然而，如果科学家不能移动、存储和分析这些数据，他们就无法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)，作为业务专业知识和分析的协作中心。该项目将帮助科学家定期、可靠和可靠地传输他们的数据。ReSEC将提供端到端的用户支持和网络工程解决方案，并成为一个中心社区中心，准备在持续的基础上提供个性化的专业知识和帮助。ReSEC提出了四个主要执行任务：1)路边协助中心，对科学数据传输的即时问题做出反应；2)使用PerformSONAR和NetSage等工具进行主动的网络观察；3)协助设计和部署校园网络资产，如Science Zs；4)校园网管理员培训。ReSEC将依靠区域网络、基础设施和科学社区合作伙伴扩大运营规模。ReSEC将在可持续、持续的基础上提供专业知识和援助，特别强调为本地网络管理资源相对有限的教育机构服务。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。

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.