Identification of university-based patents: A new large-scale approach

Friedrich Dornbusch, Ulrich Schmoch, Nicole Schulze and Nadine Bethke

No 32, Discussion Papers "Innovation Systems and Policy Analysis" from Fraunhofer Institute for Systems and Innovation Research (ISI)

Abstract: This paper described a method to consistently and automatically identify all university-based patents by matching the names of inventors on patent filings with authors of scientific publications. This methodological procedure can be adjusted for different pur-poses. Handling selection criteria rigorously allows us to generate a dataset of universi-ty-based patents with high precision. A less restrictive setting of selection criteria yields a higher coverage in terms of the overall picture and total numbers of academic pa-tents. Using the authors of scientific publications allows us to identify research-active staff at universities without having to continuously compile and update staff lists for comparison with inventor lists. In particular, the author lists also cover research-active staff without official teaching functions who are often not covered by the official staff lists.

Date: 2012
New Economics Papers: this item is included in nep-ino, nep-ipr and nep-pr~
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:fisidp:32

DOI: 10.24406/publica-fhg-295960

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