Collaborative Research: DAT: From grant to commercialization: an integrated database which can trace, assess, and measure the impact of scientific funding

合作研究：DAT：从资助到商业化：一个可以追踪、评估和衡量科学资助影响的综合数据库

• 批准号: 1232695
• 负责人: Lee Fleming
• 金额: $ 13.51万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-01 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232695&HistoricalAwards=false
• 关键词: Collaborative; Research; DAT; grant; commercialization

It has long been received wisdom that investment in science greatly facilitates the technological progress that ultimately improves economic productivity and living standards. Unfortunately, the systematic and quantitative evidence to support these arguments remains thin and expensive to produce. Name ambiguity makes this difficult: different scientists may share the same names, and conversely, the same scientist may have their name listed differently within or across publication and patent databases. As a consequence, the collaborative networks of scientists remain unidentified, and the gatekeepers between science and technology have not been systematically identified. Intellectual Merit: This project develops a large-scale database that links Medline papers and U.S. patents, through identification of individuals who authored both papers and patents using state-of-the-art name disambiguation algorithms. These patent-paper-author links in turn enable identification of similar organizations and in some cases, science/technology fields and geography. The resulting database is used in three exemplary analyses that aim to: 1) study the impact of grants upon science and technical productivity, 2) identify the gatekeepers between science and technology and study how knowledge flows between these two realms, and 3) understand how collaborative, institutional, organizational, and regional factors influence these processes. Broader Impact: The resulting database is publicly available. This both enables science policy scholars to develop systematic and convincing evidence for investment recommendations and enables person-centered research of the science-technology interface of numerous other kinds.

长期以来，人们普遍认为，对科学的投资极大地促进了技术进步，最终提高了经济生产率和生活水平。不幸的是，支持这些论点的系统和定量证据仍然很少，而且生产成本高昂。名字的歧义使这一点变得困难：不同的科学家可能共享相同的名字，相反，同一位科学家的名字可能在出版和专利数据库内或之间以不同的方式列出。因此，科学家的合作网络仍然不确定，科学和技术之间的看门人也没有得到系统的确定。智力优势：该项目开发了一个大型数据库，通过使用最先进的名称歧义消除算法识别论文和专利的作者，将Medline的论文和美国专利联系起来。这些专利-论文-作者链接反过来又可以识别类似的组织，在某些情况下还可以识别科学/技术领域和地理位置。产生的数据库用于三个示范性分析，其目的是：1)研究赠款对科学和技术生产力的影响；2)确定科学和技术之间的看门人，研究知识如何在这两个领域之间流动；3)了解协作、体制、组织和区域因素如何影响这些过程。更广泛的影响：由此产生的数据库是公开可用的。这既使科学政策学者能够为投资建议开发系统和令人信服的证据，也使许多其他类型的科学-技术接口能够以人为中心进行研究。