Building Community and a New Data Infrastructure for Science Policy

为科学政策建立社区和新的数据基础设施

• 批准号: 1262447
• 负责人: Jason Owen-Smith
• 金额: $ 49.98万
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-07-15 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1262447&HistoricalAwards=false
• 关键词: Building; Community; New; Data; Infrastructure

This project creates and maintains infrastructure and community to support policy relevant social science research. It uses newly available STAR METRICS data on how universities spend federal research grants to examine the scientific, social and economic impact of federally funded academic research. Infrastructure includes shared research tools and datasets. The community spans researchers in multiple disciplines, academic administrators, and state and federal policy makers. Employing STAR METRICS data and utilizing infrastructure for its access and use the research community can provide systematic answers to questions such as: What scientific collaborations are directly supported by research funding? What indirect effects do federal grants exert on regional economies and labor markets? The first question can be answered with systematic study of the structure and productivity of scientific collaboration networks using fine-grained information on who is paid to work on the same scientific grants. In doing so, this project is the first to characterize the productivity of campus-wide, federally funded science on 11 large university campuses. The second question can be answered using the same data source to analyze payments to vendors for scientific equipment, supplies, etc. By analyzing the distribution, geographic location, and industry of vendors that supply federally funded research, this project offers the first comprehensive picture of the effects of federal R&D spending on economic resilience and job creation via companies that support university research. These and other community research endeavors provide compelling cases for large scale, sustained research to assess the US science ecosystem and the full public value of federal support for scientific research. Broader impacts. The community and infrastructure developed by this project support a range of ongoing research projects; the results are of immediate interest to policy makers and academic administrators. Insights derived from this research can inform the allocation of resources on campus, decisions about how to pursue cutting edge scientific research and even the design and allocation of space in research facilities. At the national and state level, this project contributes to the development of a rigorous science of science policy that can inform decisions about how to allocate public resources for R&D by providing systematic evidence about the productivity of different approaches to organizing research and the larger social and economic results of discovery and learning on research university campuses.

该项目创建并维护基础设施和社区，以支持政策相关的社会科学研究。它使用新的星级指标数据，了解大学如何花费联邦研究赠款来研究联邦资助的学术研究的科学，社会和经济影响。 基础架构包括共享的研究工具和数据集。 社区跨越研究人员，涉足多个学科，学术管理人员以及州和联邦政策制定者。 采用Star指标数据并利用基础架构访问并使用研究社区可以为诸如：哪些科学合作直接支持研究资金的问题提供系统答案？联邦赠款对区域经济和劳动力市场有何间接影响？可以通过对科学协作网络的结构和生产力进行系统的研究，使用有关谁付款以在同一科学赠款上工作的精细信息，可以回答第一个问题。 在这样做的过程中，该项目是第一个在11个大型大学校园中表征校园全联邦资助的科学生产力的制品。 可以使用相同的数据源来回答第二个问题，以分析提供联邦资助研究的供应商的分布，地理位置和行业，以分析供应商的科学设备，供应等。该项目对联邦R＆D支出对通过支持大学研究的公司的经济恢复和创造工作的影响提供了首次全面了解。 这些和其他社区研究的努力为大规模，持续研究提供了令人信服的案例，以评估美国科学生态系统以及联邦对科学研究的全部公共价值。更广泛的影响。 该项目开发的社区和基础设施支持一系列正在进行的研究项目；结果是政策制定者和学术管理人员的直接关注。从这项研究中获得的见解可以告知校园中资源的分配，有关如何追求尖端科学研究，甚至是研究设施中空间的设计和分配的决定。 在国家和州一级，该项目有助于制定严格的科学科学政策，该政策可以通过提供有关如何组织研究的生产力以及在研究大学校园内为组织和更大的社会发现和学习成果和更大的社会社会和经济成果提供系统的证据来为研发分配公共资源的决定。