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

该项目将培训和支持不同的教育和社会科学研究人员，以发展必要的技能，有效地利用大规模、隐私保护的行政数据来分析与STEM教育有关的核心问题。目标是为参与者提供技术培训、方法培训、研究项目开发的技术支持和社区建设。能力建设努力利用成功的研究基础设施、可获得的数据和成熟的创新培训历史，以提高不同研究人员的技术和分析准备。虽然主要重点将是结合公共劳动力信息使用相关联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。该研究所将进行系统的努力，将培训机会与研究社区的培养、持续的提案开发工作以及能够影响STEM教育研究人员基础设施和跨学科能力的增长的机制联系起来。该研究所将每年举办两套培训活动，以密歇根大学社会研究所(ISR)主办的为期数天的研讨会为基础。ISR是创新与科学研究所(IRIS)和大学间政治和社会研究联盟(ICPSR)的机构所在地。该研究所的目标是来自研究密集度较低和为少数族裔服务的机构的150-165名不同的研究人员。项目组将把拟议的能力建设活动与太平洋岛屿发展中国家中心暑期学院的课程和社区建设活动结合起来，同时使这些活动的结构与获得多种外部供资机会的最后期限保持一致。这门课程的主要数据将来自大学衡量创新、竞争力和科学研究的影响(UMETRICS)数据集，以及部分参与校园的所有注册学生的数据。这些数据集将与公共使用的劳动力数据相结合，如劳工统计局就业季度普查统计数据和中学后就业成果项目。总之，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，为开发基于他们的研究兴趣的研究问题提供更多途径。除了建设STEM教育研究的能力外，该项目还通过扩大研究社区获得工具和技术的途径，解决了NSF利用数据革命大想法的核心组成部分。该项目通过EHR核心研究：STEM教育研究中的能力建设(ECR：BCSER)竞赛得到支持，该竞赛旨在培养个人在STEM学习和学习环境中开展高质量基础STEM教育研究的能力，扩大对STEM领域的参与，以及STEM劳动力发展。该奖项反映了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。

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.