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.

研究越来越依赖网络基础设施（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，但 RCD 已远远超出 HPC 范围，扩展到数据合规性的安全区域；大数据管理、分析和移动；人工智能/机器学习；最近又进入异构计算模型、边缘计算和基于云的计算。研究人员正在努力跟上数据爆炸和计算资源快速发展的步伐，并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业知识需要花费宝贵的研究时间，而且往往超出研究人员的能力；他们必须依赖将技术专业知识与对研究工作流程和研究人员需求的理解相结合的合作伙伴（RCD 专业人员）。各机构面临着招募和留住 RCD 专业人员以及建立有效的 RCD 支持服务的挑战。该 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，从而提高和实现国家计算和数据密集型研究的能力RCD 操作。 该项目还将提供培养新 RCD 专业人员的专业知识，并为广大社区和整个行业提供声音和联系。 RCD 资源和职业中心将以 NSF 支持的校园研究计算联盟 (CaRCC) 已经完成并继续开展的工作为基础，开发产品和工具以提供有效的 RCD 支持。该中心将开发一个稳健且可持续的 RCD 能力模型实施方案，该模型提供评估框架、基准测试和战略规划支持以及社区数据集，以了解 RCD 支持的情况。该中心将扩大和传播用于RCD专业化的资源，包括支持采用RCD职业矩阵，对RCD专业角色进行正确分类，并对RCD专业人员进行全国普查，以了解RCD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线模型，以解释职业选择并帮助现有 RCD 专业人员探索职业发展和进步。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型。试点期和社区社区将用于促进建立一个协调组织来连接所有相关社区，并为 RCD 专业人员制定共同的声音，作为完整的卓越中心的项目计划。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Minding the Gap: Leveraging Cyberinfrastructure to Transform Epscor Jurisdictions

弥补差距：利用网络基础设施转变 Epscor 司法管辖区

• 发表时间: 2023-07
• 期刊: Zenodo
• 作者: Bayrd, Venice;Gwen Jacobs;Patrick Schmitz;Scotty Strachan;Patrick Clemins;and Frederick C. Jr. Harris
• 通讯作者: and Frederick C. Jr. Harris

CaRCC 2023 Annual Retreat Report.

CaRCC 2023 年度静修报告。

• 发表时间: 2023-08
• 期刊: Zenodo
• 作者: Daphne McCanse

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: 2021-07
• 期刊: PEARC '21: Practice and Experience in Advanced Research Computing
• 作者: Schmitz; Patrick
• 通讯作者: Patrick

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: 2023-07
• 期刊: ACM
• 作者: Maimone, Christina;Brown, Carrie;Grash, Kimberly;Reidy, Chris;Stauffer, Ashley
• 通讯作者: Stauffer, Ashley

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: 2022-07
• 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