摘要
第一阶段通过收集政府科研投资与产出的五类数据,聚焦科研投入对劳动力就业的影响,第二阶段通过收集大学、科研机构及项目负责人三方主体的四类数据,聚焦科研投入对科学知识、社会产出、劳动力产出与经济增长的影响。通过梳理STAR METRICS的缘起、实施流程、数据收集及评估指标等方面,分析其独特优势与面临的挑战,为我国科技政策与科研评估改革提供了三点启示,关注并开展科研成果非学术影响评估;构筑并完善机构数据共享网络;提升科技政策决策科学化水平。
The first stage of the project aims to evaluate the impact of the scientific research invested by the Federal Government on employment by collecting five types of data of scientific investments and outcomes.The second stage focuses on evaluating the impact of scientific research investment on scientific knowledge,social outcomes,workforce outcomes and economic growth by collecting four types data of universities,science agencies and principal investigators.Through sorting out the origin,implementation process,data collection and evaluation indicators of this project,and makes analysis of its unique advantages and challenges,and provides three inspirations on reforming policy of scientific research and scientific research evaluation of our country.Firstly,paying attention to the non-academic impact of scientific research;secondly,building and complete the sharing network of scientific data of institutions;thirdly,improving the scientific level of scientific research policy.
作者
马千淳
王楠
Ma Qianchun;Wang Nan(School of Educational Science,Capital Normal University,Beijing 100037,China)
出处
《科技管理研究》
CSSCI
北大核心
2020年第21期73-79,共7页
Science and Technology Management Research
基金
北京市教育科学“十三五”规划2018年度重点课题“高校科研成果‘非学术影响’评估的国际比较研究”(BABA18040)。
关键词
STAR
METRICS
美国科技政策
科研评价
STAR METRICS
American scientific research policy
evaluation of scientific research
