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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w17404 |
来源ID | Working Paper 17404 |
Communitywide Database Designs for Tracking Innovation Impact: COMETS, STARS and Nanobank | |
Lynne G. Zucker; Michael R. Darby; Jason Fong | |
发表日期 | 2011-09-08 |
出版年 | 2011 |
语种 | 英语 |
摘要 | Data availability is arguably the greatest impediment to advancing the science of science and innovation policy and practice (SciSIPP). This paper describes the contents, methodology and use of the public online COMETS (Connecting Outcome Measures in Entrepreneurship Technology and Science) database spanning all sciences, technologies, and high-tech industries; its parent COMETSandSTARS database which adds more data at organization and individual scientist-inventor-entrepreneur level restricted by vendor licenses to onsite use at NBER and/or UCLA; and their prototype Nanobank covering only nano-scale sciences and technologies. Some or all of these databases include or will include: US patents (granted and applications); NIH, NSF, SBIR, STTR Grants; Thomson Reuters Web of Knowledge; ISI Highly Cited; US doctoral dissertations; IPEDS/HEGIS universities; all firms and other organizations which ever publish in ISI listed journals beginning in 1981, are assigned US patents (from 1975), or are listed on a covered grant; additional nanotechnology firms based on web search. Ticker/CUSIP codes enable linking public firms to the major databases covering them. A major matching/disambiguation effort assigns unique identifiers for an organization or individual so that their appearances are linked within and across the constituent legacy databases. Extensive geographic coding enables analysis at country, region, state, county, or city levels. The databases provide very flexible sources of data for serious research on many issues in the study of organizations in innovation systems in the development and spread of knowledge, and the economics of science. Enabling the study of these topics, among others, COMETS contributes substantially to the science of science and technology. |
主题 | Econometrics ; Data Collection ; Labor Economics ; Labor Market Structures ; Unemployment and Immigration ; Other ; Accounting, Marketing, and Personnel ; Development and Growth ; Innovation and R& ; D |
URL | https://www.nber.org/papers/w17404 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/575078 |
推荐引用方式 GB/T 7714 | Lynne G. Zucker,Michael R. Darby,Jason Fong. Communitywide Database Designs for Tracking Innovation Impact: COMETS, STARS and Nanobank. 2011. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w17404.pdf(397KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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