Cyberinfrastructure (CI) for NSF Large Facilities Workshop

从物理和材料科学到生物科学和地球科学，再到天文科学、海洋科学和工程研究，许多大型实验和观测设施被部署在不同的研究领域。大型设施从事收集、管理和公开分发预计将在设施本身使用年限后仍有用的大量科学数据集；并提供共享的计算和分析工具以及与这些活动有关的教育和培训。设施用户还希望将大规模数据与最先进的模拟进行比较，这反过来可以指导未来进行哪些实验。为了支持这些科学任务和用户，大型设施越来越依赖国家规模的网络基础设施，包括高性能计算、先进的数据平台和分析和可视化软件基础设施，以及高速网络资源。随着新兴的新技术重塑计算和数据分析环境并改变进行科学发现的方式，越来越需要设施和先进的CI资源之间的协同作用。该项目将支持为期两天的大型设施数字基础设施社区讲习班。讲习班的目的是将设施和传播与信息社区的成员聚集在一起，考虑设施的传播与信息需求，探索大型设施如何与网络基础设施的开发者更好地合作，以完成其科学使命并为其用户服务，交流最佳做法和新颖的传播与信息解决方案，并开始规划进程，以产生能够响应新的新兴科学需求和传播与信息技术的大规模科学的可持续资源和数据生态系统。预期成果还包括激励新的传播与信息研究和开发活动，以加速大规模科学的发现，以及改善国家设施生态系统和网络基础设施的连通性，以支持科学发现。这个项目是由几个NSF董事共同资助的。

Many large experimental and observational facilities are deployed in diverse research fields from physics and materials science, to the biological sciences and geosciences, to astronomical science, ocean science, and engineering research. Large facilities engage in the collection, management and public distribution of massive scientific datasets that are expected remain be useful even beyond the lifetimes of the facilities themselves; and provide shared computational and analytic tools, as well as education and training related to these activities. Facility users also want to compare the large scale data to state-of-the-art simulations, which in turn can guide which future experiments to perform. To support these scientific missions and users, large facilities increasingly rely on national-scale cyberinfrastructure (CI), including high performance computing, advanced data platforms and analysis and visualization software infrastructure, and high-speed networking resources. There is increasing need for synergy between facilities and advanced CI resources, as emerging new technologies reshape the computational and data analysis environment and change the way scientific discovery is conducted.This project will support a two-day community workshop on Cyberinfrastructure for Large Facilities. The purpose of the workshop is to bring the members of both the facility and CI communities together, to consider the CI needs of facilities, explore how large facilities can collaborate better with developers of cyberinfrastructure to achieve their science missions and serve their users, exchange best practices and novel CI solutions, and start a planning process can lead to a sustainable resource and data ecosystem for large scale science that can respond to new emerging scientific needs and CI technologies. Desired outcomes also include inspiring new CI research and development activities that accelerate discovery across large scale science, and improving the connectedness of the national ecosystem of facilities and cyberinfrastructure in support of scientific discovery. This project was co-funded by several NSF directorates.