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

CI CoE：演示试点：推进研究计算和数据：战略工具、实践和专业发展

• 批准号: 2100003
• 负责人: Dana Brunson
• 金额: $ 149.72万
• 依托单位: INTERNET2
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-15 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2100003&HistoricalAwards=false
• 关键词: CI; CoE; Demo; Pilot; Advancing

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.

从工具和传感器到研究计算和数据（RCD）基础架构和服务，研究越来越依赖网络基础设施（CI）。高性能计算（HPC）是重要的元素，但是RCD已将HPC远远超出HPC扩展到安全的飞地，以确保数据合规性。大数据管理，分析和运动； AI/机器学习；最近，进入异质计算模型，边缘计算和基于云的计算。研究人员正在努力跟上数据的爆炸和计算资源的快速发展，并且常常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业知识需要研究的宝贵时间，并且通常超出了研究人员的能力；他们必须依靠合作伙伴（RCD专业人员），他们结合了技术专业知识以及对研究工作流程和研究人员需求的理解。机构面临挑战招募和保留RCD专业人员，并建立有效的RCD支持服务。这款CI COE示范飞行员（RCD COE）将开发一个RCD资源和职业中心，以通过为机构和个人提供产品，工具，服务和社区来促进和实现该国进行计算和数据密集型研究的能力，以建立和维持成功的RCD运营。 该项目还将在新的RCD专业人员的开发方面提供专业知识，并为广大社区和整个专业提供声音和连接器。 RCD资源和职业中心将基于NSF支持的校园研究计算联盟（CARCC）已经完成并继续开发产品和工具以有效的RCD支持。该中心将开发出RCD功能模型的强大而可持续的实施，该模型提供评估框架，对基准测试和战略计划的支持以及一个社区数据集，以了解RCD支持的格局。该中心将扩大和传播RCD专业化的资源，包括支持采用RCD职位家庭矩阵，以适当地对RCD专业角色进行分类，并进行全国RCD专业人员的人口普查，以表征RCD员工和计划的当前状态。该中心将为RCD专业人员解释职业选择并帮助现有的RCD专业人员探索专业发展和进步的现有专业人员，创建并传播职业弧线模型。该项目的工作将汇总资源以用于员工培训和劳动力发展，包括领先的招聘，入职，推进多样性，公平和包容性（DEI）以及专业发展的实践，以及用于学生实习和培训计划的验证模型。 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.

项目成果

CaRCC 2023 Annual Retreat Report.

CaRCC 2023 年度静修报告。

• 发表时间: 2023
• 期刊: Zenodo
• 作者: Daphne McCanse

Professionalization of Research Computing and Data: An Expanded Agenda

研究计算和数据的专业化：扩展的议程

• DOI: 10.1145/3569951.3593610
• 发表时间: 2023
• 期刊: ACM
• 作者: Cutcher-Gershenfeld, Joel;Battelle, Torey;Brunson, Dana;Cheatham, Thomas;Fosso Tande, Jacob;Jennewein, Douglas;Ma, Julie;Michael, Lauren A.;Middelkoop, Timothy;Neeman, Henry
• 通讯作者: Neeman, Henry

Assessing the Landscape of Research Computing and Data Support: The 2020 RCD Capabilities Model Community Dataset

评估研究计算和数据支持的前景：2020 年 RCD 能力模型社区数据集

• DOI: 10.1145/3437359.3465580
• 发表时间: 2021
• 期刊: PEARC '21: Practice and Experience in Advanced Research Computing
• 作者: Schmitz, Patrick

Building the Research Innovation Workforce: Challenges and Recommendations from a Virtual Workshop to Advance the Research Computing Community

建设研究创新劳动力：虚拟研讨会推动研究计算社区发展的挑战和建议

• DOI: 10.1145/3491418.3530288
• 发表时间: 2022
• 期刊: PEARC '22: Practice and Experience in Advanced Research Computing
• 作者: Hacker, Thomas;Smith, Preston;Brunson, Dana;Arafune, Lisa;Cheatham, Thomas;Deelman, Ewa
• 通讯作者: Deelman, Ewa

Compensation of Academic Research Computing and Data Professionals

学术研究计算和数据专业人员的薪酬

• DOI: 10.1145/3569951.3593599
• 发表时间: 2023
• 期刊: ACM
• 作者: Maimone, Christina;Brown, Carrie;Grash, Kimberly;Reidy, Chris;Stauffer, Ashley
• 通讯作者: Stauffer, Ashley