CI CoE: Demo Pilot: Advancing Research Computing and Data: Strategic Tools, Practices, and Professional Development

研究越来越依赖于网络基础设施(CI)，从仪器和传感器到研究计算和数据(RCD)基础设施和服务。高性能计算(HPC)是一个重要元素，然而，RCD已经远远超出HPC，扩展到数据合规性、大数据管理、分析和移动、人工智能/机器学习等安全领域，最近又扩展到异类计算模型、边缘计算和基于云计算。研究人员正在努力跟上数据爆炸和计算资源快速演变的步伐，而且往往缺乏充分利用新兴工具和技术的技能。开发和维护所需的专门知识需要从研究中花费宝贵的时间，而且往往超出了研究人员的能力范围；他们必须依靠结合了技术专门知识和对研究工作流程和研究人员需求的理解的合作伙伴(区域合作与发展专业人员)。各机构面临着招聘和留住刚果民防专业人员以及建立有效的民防支助服务的挑战。这一CI COE示范试点(RCD COE)将开发一个RCD资源和职业中心，通过为机构和个人提供产品、工具、服务和社区来建立和维持成功的RCD操作，从而促进和支持国家的计算和数据密集型研究能力。该项目还将在发展新的刚果民盟专业人员方面提供专门知识，并为广大社区和整个专业提供声音和连接点。RCD资源和职业中心将建立在NSF支持的校园研究计算联盟(CaRCC)已经并将继续进行的工作的基础上，开发有效的RCD支持的产品和工具。该中心将制定一个强有力和可持续实施的区域合作与发展能力模式，提供一个评估框架、对基准和战略规划的支持，以及一个社区数据集，以了解区域合作与合作的支持情况。该中心将扩大和传播有关刚果民防职业化的资源，包括支持采用刚果民防工作家庭表，对刚果民防专业人员进行适当分类，并对刚果民防专业人员进行全国普查，以确定刚果民防工作人员和方案的现状。该中心将为RCD专业人员创建和传播职业弧形模型，以解释职业选择，并帮助现有的RCD专业人员探索专业发展和晋升。该项目的工作将汇集用于员工培训和劳动力发展的资源，包括招聘、入职、促进多样性、公平和包容性(DEI)和专业发展的领先实践，以及经过验证的学生实习和培训计划模式。试点期间和社区社区将被用来促进建立一个协调组织，以连接所有相关社区，并为刚果民盟专业人员发展共同的声音，作为建立一个完整的英才中心的项目计划。这一奖项反映了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。

Research is increasingly dependent upon Cyberinfrastructure (CI), from instruments and sensors to Research Computing and Data (RCD) infrastructure and services. High Performance Computing (HPC) is an important element, however RCD has expanded well beyond HPC into secure enclaves for data compliance; big data management, analytics, and movement; AI/machine learning; and more recently into heterogeneous compute models, edge computing, and cloud-based computing. Researchers are struggling to keep pace with the explosion of data and the rapid evolution of computing resources, and often lack the skills to make full use of emerging tools and techniques. Developing and maintaining the needed expertise takes valuable time from research and is often beyond the capacity of researchers; they must depend upon partners (RCD professionals) who combine technology expertise and an understanding of research workflows and researcher needs. Institutions face challenges recruiting and retaining RCD professional staff, and building effective RCD support services. This CI CoE Demonstration Pilot (RCD CoE) will develop an RCD Resource and Career Center to advance and enable the nation's capacity for computational and data-intensive research by providing institutions and individuals the products, tools, services, and community to build and sustain successful RCD operations. The project will also provide expertise in the development of new RCD professionals, and provide a voice and a connector for the broad community and the profession at large. The RCD Resource and Career Center will build upon work that the NSF-supported Campus Research Computing Consortium (CaRCC) has done and continues to do to develop products and tools for effective RCD support. The Center will develop a robust and sustainable implementation of the RCD Capabilities Model that provides an assessment framework, support for benchmarking and strategic planning, and a community data set to understand the landscape of RCD support. The Center will expand and disseminate resources for RCD Professionalization, including support for adoption of an RCD Job Family Matrix to properly classify RCD professional roles and conducting a national census of RCD Professionals to characterize the current state of RCD staff and programs. The Center will create and disseminate a model of Career Arcs for RCD Professionals to explain career options and help existing RCD professionals explore professional development and advancement. Work in the project will aggregate resources for staff training and workforce development, including leading practices for recruitment, onboarding, advancing diversity, equity and inclusion (DEI), and professional development, as well as proven models for student internship and training programs. The pilot period and the community of communities will be used to facilitate the creation of a coordinating organization to connect all the relevant communities and to develop a shared voice for RCD professionals as the project plans for a full Center of Excellence.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.