{"title":"The Government Patent Register: A new resource for measuring U.S. government-funded patenting","authors":"Daniel P. Gross , Bhaven N. Sampat","doi":"10.1016/j.respol.2024.105142","DOIUrl":null,"url":null,"abstract":"<div><div>We introduce new historical administrative data identifying U.S. government-funded patents since the early twentieth century. In addition to the funding agency, the data report whether the government has title to the patent (“title” patents) or funded a patent assigned to a private organization (“license” patents). The data include a large number of “license” patents that cannot be linked to government funding from patent text or other sources. Combining the historical data with modern administrative sources, we present a public, consolidated data series measuring U.S. government-funded patents — including funding agencies — through 2020, and we provide code to extend this series in the future. We use the data to document long-run patterns in U.S. government-funded patents and federal patent policy, propose ways in which these data can be used in future research, and discuss limitations of the data.</div></div>","PeriodicalId":48466,"journal":{"name":"Research Policy","volume":"54 1","pages":"Article 105142"},"PeriodicalIF":7.5000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Policy","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048733324001914","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
We introduce new historical administrative data identifying U.S. government-funded patents since the early twentieth century. In addition to the funding agency, the data report whether the government has title to the patent (“title” patents) or funded a patent assigned to a private organization (“license” patents). The data include a large number of “license” patents that cannot be linked to government funding from patent text or other sources. Combining the historical data with modern administrative sources, we present a public, consolidated data series measuring U.S. government-funded patents — including funding agencies — through 2020, and we provide code to extend this series in the future. We use the data to document long-run patterns in U.S. government-funded patents and federal patent policy, propose ways in which these data can be used in future research, and discuss limitations of the data.
期刊介绍:
Research Policy (RP) articles explore the interaction between innovation, technology, or research, and economic, social, political, and organizational processes, both empirically and theoretically. All RP papers are expected to provide insights with implications for policy or management.
Research Policy (RP) is a multidisciplinary journal focused on analyzing, understanding, and effectively addressing the challenges posed by innovation, technology, R&D, and science. This includes activities related to knowledge creation, diffusion, acquisition, and exploitation in the form of new or improved products, processes, or services, across economic, policy, management, organizational, and environmental dimensions.