Building Research Infrastructure and Community to Advance Social Scientific and Educational Use of Administrative Data

国家纵向数据系统为广泛的研究提供了潜力，以解决STEM教育中的实践和政策问题。来自弗吉尼亚理工学院和州立大学的这项研究的PI正在协调一项研究合作，以扩大来自五个来源的个人级别管理数据的使用，包括社会服务、儿童保育质量和教育数据，并与弗吉尼亚州扩大数据互操作性的努力相协调。他们正在组建一个研究小组，以概念化管理数据的最佳使用，以测试一些STEM教育研究议程上的科学模型。私人投资机构正在开发设计数据接口和分析工具，以提高研究能力。最后，他们正在协调数据治理结构和流程，以提供供学术研究人员使用的系统程序。虽然国家纵向数据系统的技术基础设施在过去10年中得到了广泛的支持并取得了长足的进步，但这些数据被教育和社会科学研究人员使用的潜力并没有跟上。该项目向知识库介绍了如何协调和整合国家行政数据，以便更系统地处理研究议程。着眼于学生持久性和学习轨迹、干预措施评估和劳动力发展努力的多个政策和实践研究问题，有可能被更系统地利用综合纵向数据的研究社区所了解。

The state longitudinal data systems provide the potential for a wide range of research studies to address practice and policy issues in STEM education. The PIs of this study from the Virginia Polytechnic Institute and State University are coordinating a research collaborative to expand the use of individual-level administrative data from five sources, including social services, child care quality, and educational data, and to coordinate with efforts in the state of Virginia to expand the interoperability of data. They are structuring a research panel to conceptualize the best use of administrative data to test scientific models across a number of STEM education research agendas. The PIs are developing a design data interface and analytic tools to increase research capacity. Finally, they are coordinating data governance structures and processes to provide for procedures for system use by academic researchers. While the technical infrastructure of state longitudinal data systems has had wide support and made considerable progress over the past 10 years, the potential for these data to be used by educational and social scientist researchers has not kept pace. This project informs the knowledge base of how state administrative data can be coordinated and integrated to address research agendas more systematically. Multiple policy and practice research questions that look at student persistence and learning trajectories, evaluation of interventions, and workforce development efforts have the potential to be informed by research communities that are more systematically leveraging integrated longitudinal data.