课题基金 / 基金详情

DAT: Science & Technology Agents of Revolution (STAR) Database: Linking Government Investment, Science, Technology, Firms and Employment

DAT: Science & Technology Agents of Revolution (STAR) Database: Linking Government Investment, Science, Technology, Firms and Employment
数据:科学
批准号:
0830983
负责人:
Lynne Zucker
金额:
$64.61万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-10-01 至 2014-09-30

项目摘要

项目成果

Lynne Zucker的其他基金

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中文摘要
翻译
这一项目弥补了科学与创新政策学(SciSIP)作为一个研究领域和政策指南迅速取得进展的最大障碍之一:缺乏一个综合数据库,可以追踪从政府对研发的投资&到知识创造、传播和编纂的路径之间的联系,最终在许多情况下用于商业用途,从而产生更好的生活水平和更好的工作。具体而言,该项目完成,验证,演示的效用,并提供给研究界的科学技术革命的代理人(星星)数据库,这是一个变革性的平台技术,用于分析的全部或部分的创造,传输和使用新的科学和工程知识,在现有的和/或新的公司创造新的商业技术,以及这些公司作为创造财富和就业增长的引擎的成功。星星数据库通过一个独特的ID系统整合和补充了关于科学和创新的关键数据库,这些ID系统适用于公司和其他组织以及作为主要研究者、作者、论文作者或顾问、发明人和/或公司官员、董事和关键员工出现的科学家和工程师。尤其是这些科学家中最具生产力的?的?星星创新者??同时戴上几顶帽子。星星数据库整合了政府赠款、期刊文章、论文、专利、风险投资、首次公开募股和其他公司数据。它通过广泛使用的金融市场标识符与主要的公共数据库链接。在人口普查局的合作下,星星和人口普查公司和工人数据库通过索引连接起来,供研究人员使用,以获得人口普查数据。星星数据库将有三层:一个主要面向政策制定者和媒体的基于图形的公共网站,一个向研究人员提供下载和数据库查询的公共网站,这些数据库仅限于公共组成数据库或从许可的商业数据库派生的集合,和在国家经济研究局(NBER)的现场访问,为研究人员提供访问完整的星星数据库的机会,更广泛的影响:这个项目是专门为更广泛的影响而设计的。它将提供一个共享的数据库,这将促进发现,并使研究,否则不可能昂贵的几乎任何论文的学生或教师不是位于少数精英机构之一,其中重要部分的星星数据库是可用的。真实的数据会给课堂作业带来兴奋,而这些课堂作业的主题在抽象上会削弱学生的兴趣。大部分数据都可以在线获得,商业许可的部分数据可用于在NBER建立外卖分析数据集,并在所有人口普查局内部使用。s研究数据中心。这些数据使学术和政府研究人员能够为政府和国会关于政府研究投资回报率的基本问题提供可靠和经过测试的答案。朱克和达比推行了一项积极的推广计划,以使他们的成果以一种他们可以使用的形式传达给政策制定者和新闻界。
英文摘要
This project remedies one of the greatest impediments to rapid progress in the science of science and innovation policy (SciSIP) both as a field of study and as a guide to policy: the lack of an integrated database which can trace the links from government investment in R&D through the path of knowledge creation, its transmission and codification, and ultimately in many cases to commercial uses yielding a better standard of living and better jobs. Specifically, the project completes, validates, demonstrates the utility of, and makes available to the research community the Science & Technology Agents of Revolution (STAR) Database which is a transformative platform technology for analyses in whole or part of the creation, transmission, and use of new scientific and engineering knowledge, the creation of new commercial technologies in pre-existing and/or new firms, and the success of those firms as engines of wealth creation and employment growth. The STAR database integrates and complements key databases on science and innovation by a system of unique IDs for firms and other organizations and for individual scientists and engineers as they appear as principal investigators, authors, dissertation writers or advisors, inventors, and/or firm officers, directors, and key employees. Especially the most productive of these scientists ? the ?star innovators? ? wear many hats simultaneously. The STAR database integrates data on government grants, journal articles, dissertations, patents, venture capital, initial public offerings, and other firm data. It links to major public databases via widely used financial market identifiers. In collaboration with the Census Bureau, the STAR and the Census firm and worker databases are linked by a concordance for use by researchers with access to the Census data. The STAR database will have three tiers: a public graphics-based site primarily oriented toward policymakers and the media, a public site providing access to researchers for downloads and database queries limited to the public constituent databases or aggregates derived from the licensed commercial databases, and on-site access at the National Bureau of Economic Research (NBER) providing researchers access to the complete STAR Database for building take-away analysis datasets.Broader Impacts: This project is designed specifically for broader impact. It will provide a shared database that will advance discovery, and enable research otherwise impossibly expensive for nearly any dissertation student or faculty member not located at one of the few elite institutions where significant parts of the STAR Database are available. Real data will bring excitement to classroom assignments on topics that in the abstract can deaden students' interest. Most of the data are available on-line with the commercially licensed part of the data available for building take-away analysis data sets at the NBER and for use within all the Census Bureau?s Research Data Centers. These data enable both academic and government researchers to build reliable and tested answers to fundamental administration and Congressional questions about the variety of returns to government investments in research. Zucker and Darby pursue an active outreach program to get their results to policymakers and the press in a form that they can use.
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会议论文
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国内基金
海外基金
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  • 批准号:
    T2241020
  • 项目类别:
    专项项目
  • 资助金额:
    10.00万元
  • 批准年份:
    2022
  • 负责人:
    毛睿
  • 依托单位:
SCIENCE CHINA: Earth Sciences
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基于e-Science的民族信息资源融合与语义检索研究
  • 批准号:
    61262071
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    46.0万元
  • 批准年份:
    2012
  • 负责人:
    甘健侯
  • 依托单位: