ECR: BCSER: IRM: Building Big Data Capacity for Education and Social Science Research Communities Using Restricted Administrative Data

ECR：BCSER：IRM：使用受限管理数据为教育和社会科学研究界构建大数据能力

• 批准号: 1937251
• 负责人: Jason Owen-Smith
• 金额: $ 99.76万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1937251&HistoricalAwards=false
• 关键词: ECR; BCSER; IRM; Building; Big

The project will train and support diverse education and social science researchers to develop the skills necessary to effectively use large scale, privacy-protected administrative data to analyze core questions pertaining to STEM education. The goals are to provide technical training, methodological training, technical support for research project development, and community building for participants. The capacity building efforts leverage a successful research infrastructure, accessible data, and well-established history of innovative training to improve the technical and analytic readiness of diverse researchers. While the primary focus will be on the use of linked university research and education data in concert with public workforce information, the skills that learners will acquire will be broadly applicable to many large-scale data analysis projects. Systematic efforts will be made to connect training opportunities to the cultivation of research community, sustained proposal development efforts, and mechanisms that allow both to influence the growth of infrastructure and interdisciplinary capacity of STEM education researchers.The institute will conduct two annual sets of training activities anchored by multi-day workshops hosted at the University of Michigan Institute for Social Research (ISR). ISR is the institutional home of the Institutes for Research on Innovation and Science (IRIS) and of the Inter-university Consortium for Political and Social Research (ICPSR). The institute will target 150-165 diverse researchers from less research-intensive and minority-serving institutions. The project team will integrate the proposed capacity building activities with ICPSR summer institute curricula and community building activities while structuring these to align with deadlines for multiple external funding opportunities. The primary data for the course will come from the Universities Measuring the Effects of Research on Innovation, Competitiveness and Science (UMETRICS) dataset, augmented by data on all enrolled students for a subset of participating campuses. These datasets will be integrated with public-use workforce data such as the Bureau of Labor Statistics Quarterly Census of Employments Statistics data and Post-Secondary Employment Outcomes project. Together, these data and associated training materials will provide participants with new tools and opportunities that offer additional avenues to develop research questions that build on their research interests. In addition to building capacity in STEM education research, the project also addresses core components of NSF's Harnessing the Data Revolution Big Idea by expanding access to tools and technologies to a research community.The project is supported through the EHR Core Research: Building Capacity in STEM Education Research (ECR: BCSER) competition that is designed to build individuals' capacity to carry out high quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.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.

该项目将培训和支持多样化的教育和社会科学研究人员，以开发有效使用大规模，隐私保护的行政数据所需的技能，以分析与STEM教育有关的核心问题。目标是为研究项目开发提供技术培训，方法学培训，技术支持以及为参与者提供社区建设。能力建设的工作利用了成功的研究基础设施，可访问的数据以及创新培训的良好历史，以提高不同研究人员的技术和分析准备。尽管主要重点是与公共劳动力信息一起使用链接的大学研究和教育数据，但学习者将获得的技能将广泛适用于许多大型数据分析项目。将采取系统的努力将培训机会与研究界的培养机会联系起来，持续的提案发展工作以及允许影响基础设施的增长和STEM教育研究人员的跨学科能力的机制。该研究所将进行两种年度的培训活动集合由密歇根大学社会研究学院（ISR）主持的多天研讨会。 ISR是研究创新与科学研究所（IRIS）和政治和社会研究联盟（ICPSR）的机构所在地。该研究所将针对来自较少研究密集型和少数族裔服务机构的150-165种不同的研究人员。该项目团队将将拟议的能力建设活动与ICPSR夏季学院课程和社区建设活动相结合，同时将它们与截止日期保持一致，以获得多个外部资助机会。 该课程的主要数据将来自衡量研究对创新，竞争力和科学（UMETRICS）数据集的影响的大学，并由所有注册学生的数据增强了参与校园的一部分。这些数据集将与公共用途的劳动力数据集成，例如劳工统计局季度的就业统计数据季度人口普查和院长的就业成果项目。这些数据和相关的培训材料将为参与者提供新的工具和机会，这些工具和机会提供了其他途径，以开发以其研究兴趣为基础的研究问题。 除了在STEM教育研究中建立能力外，该项目还通过扩大对研究社区的工具和技术的访问来利用数据革命的核心组成部分。通过EHR核心研究支持该项目教育研究（ECR：BCSER）竞争旨在建立个人在STEM学习和学习环境中进行高质量基本的STEM教育研究，扩大对STEM领域的参与以及STEM Workforce Development的能力。该奖项反映了NSF的法定任务和使用基金会的知识分子优点和更广泛的审查标准，通过评估被认为值得支持。