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Matching Crunchbase with patent data

Author

Listed:
  • Gianluca Tarasconi

    (OECD)

  • Carlo Menon

    (OECD)

Abstract

This note describes a procedure to match companies and individuals listed in Crunchbase, a new database on innovative start-ups and companies, with patent applicants and inventors reported in PATSTAT, the worldwide intellectual property database maintained by the European Patent Office. Given that neither administrative nor other unique identifiers are available in either of the two databases, the matching is based on a “fuzzy” procedure that exploits the available overlapping information across the two databases. A general overview of the resulting database completes the note.

Suggested Citation

  • Gianluca Tarasconi & Carlo Menon, 2017. "Matching Crunchbase with patent data," OECD Science, Technology and Industry Working Papers 2017/07, OECD Publishing.
    • Handle: RePEc:oec:stiaaa:2017/07-en
    DOI: 10.1787/15f967fa-en
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    Cited by:

    1. Jan-Bart Vervenne & Julie Callaert & Machteld Hoskens & Bart Looy, 2022. "To what extent do SMEs contribute to Europe’s patent stock? A methodological outline for creating a Europe-wide SME technology indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3049-3082, June.
    2. Benkraiem, Ramzi & Dubocage, Emmanuelle & Lelong, Yann & Shuwaikh, Fatima, 2023. "The effects of environmental performance and green innovation on corporate venture capital," Ecological Economics, Elsevier, vol. 210(C).
    3. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    4. Jeon, Eunji & Yoon, Naeun & Sohn, So Young, 2023. "Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    5. Gu, Grace & Malik, Samreen & Pozzoli, Dario & Rocha, Vera, 2021. "Worker Reallocation, Firm Innovation, and Chinese Import Competition," Working Papers 9-2021, Copenhagen Business School, Department of Economics.
    6. Q. A. Meertens & C. G. H. Diks & H. J. van den Herik & F. W. Takes, 2020. "A data‐driven supply‐side approach for estimating cross‐border Internet purchases within the European Union," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 61-90, January.

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