Using Publication, Patent, and NSF Grant Data Linked to the Survey of Doctorate Recipients to Understand Science Career Trajectories

使用与博士学位获得者调查相关的出版物、专利和 NSF 拨款数据来了解科学职业轨迹

• 批准号: 2215606
• 负责人: Donna Ginther
• 金额: $ 40万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2215606&HistoricalAwards=false
• 关键词: Using; Publication; Patent; NSF; Grant

Scientists receiving research funding from the federal government use it to produce scientific discoveries that are disseminated as research papers and inventions that become patented. Few data sources link scientists to their scholarly output as measured by federal research grants, publications, and patents. As a result, there is a limited understanding of the impact of publications, patents, and NSF grants on career outcomes such as pay and promotion. The National Center for Science and Engineering Statistics (NCSES) conducts the Survey of Doctorate Recipients (SDR), a biennial, longitudinal survey of doctorate recipients in science, technology, engineering, and mathematics disciplines (STEM) which allows policymakers and researchers to track the career outcomes of STEM doctorates. NCSES linked the SDR with publications data from two sources, as well as data on patents and NSF grants providing a rich dataset with which to understand how the scholarly output of scientists and engineers correlates with career trajectories.This project will first examine the quality of the data linkages by comparing the algorithm-matched publication data to Gold Standard, hand-curated data. The second phase of this project will evaluate the effect of measurement error in publications data on the longitudinal SDR data. Results from this work will inform the research community about the error in the linked data and potential solutions for addressing it. Finally, time varying and non-time varying variables will be used to model promotion to tenure, providing insight into whether the academic folk wisdom of “publish or perish” has meaningful impact on scientists’ career trajectories.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.

从联邦政府那里获得研究资金的科学家使用它来产生科学发现，这些发现被散布为获得专利的研究论文和事件。很少有数据来源将科学家与他们的科学产量联系在一起，如联邦研究补助金，出版物和专利所衡量的。结果，人们对出版物，专利和NSF赠款对诸如薪酬和促进等职业成果的影响有限。国家科学与工程统计中心（NCSES）进行了博士学位的调查（SDR），这是对科学，技术，工程和数学学科（STEM）中博士学位获得者的两年期，纵向调查，允许政策制定者和研究人员跟踪STEM博士学位的职业。 NCSE将SDR与来自两个来源的出版物数据联系起来，以及有关专利和NSF赠款的数据，提供了一个丰富的数据集，以了解科学家和工程师的科学输出与职业轨迹的科学输出如何与职业轨迹相关联。该项目将通过比较Algorithm-Match-Match-Match数据链接与金色标准数据的数据链接进行研究，以研究数据链接的质量。该项目的第二阶段将评估出版物数据对纵向SDR数据的测量误差的影响。这项工作的结果将为研究界提供有关链接数据的错误以及解决该数据的潜在解决方案的错误。最后，时间变化和非时代变化的变量将用于建模晋升为任期，以深入了解“出版或灭亡”的学术民间智慧是否对科学家的职业轨迹具有有意义的影响。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和广泛的影响来评估NSF的法定任务，并被认为是宝贵的支持。