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Advancing the Innovation Radar - Enhancing Innovation Radar data with financial, patent and Venture Capital data

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The Innovation Radar (IR) is a European Commission (EC) initiative to identify high-potential innovations and innovators in EC-funded Framework Programme (FP) research and innovation projects and guide project consortia in terms of the appropriate steps to reach the market. This report presents the process and results of linking the IR data with third-party databases to obtain performance information about the key innovators in FP projects identified by the IR. In particular, IR participants identified between March 2014 and January 2018 are enriched with financial information from ORBIS, patent information from PATSTAT and private funding information from Dealroom. This enriched data warehouse aims to facilitate the profilation of IR participants in terms of performance, which can subsequently provide guidance for hands-on policy support initiatives. It creates foundation for future analysis of the determinants and barriers of innovation in EU-funded collaborative projects.

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  • Vincent Van Roy & Tom Magerman & Daniel Nepelski, 2018. "Advancing the Innovation Radar - Enhancing Innovation Radar data with financial, patent and Venture Capital data," JRC Research Reports JRC114418, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc114418
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC114418
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    1. Şebnem Kalemli- Özcan & Bent E. Sørensen & Carolina Villegas-Sanchez & Vadym Volosovych & Sevcan Yeşiltaş, 2024. "How to Construct Nationally Representative Firm-Level Data from the Orbis Global Database: New Facts on SMEs and Aggregate Implications for Industry Concentration," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(2), pages 353-374, April.
    2. Giuditta De Prato & Daniel Nepelski & Giuseppe Piroli, 2015. "Innovation Radar: Identifying Innovations and Innovators with High Potential in ICT FP7, CIP & H2020 Projects," JRC Research Reports JRC96339, Joint Research Centre.
    3. Sebnem Kalemli-Ozcan & Bent Sorensen & Carolina Villegas-Sanchez & Vadym Volosovych & Sevcan Yesiltas, 2015. "How to Construct Nationally Representative Firm Level Data from the Orbis Global Database: New Facts and Aggregate Implications," NBER Working Papers 21558, National Bureau of Economic Research, Inc.
    4. Sørensen, Bent E & Kalemli-Özcan, Sebnem & Volosovych, Vadym & Villegas-Sanchez, Carolina & Yesiltas, Sevcan, 2015. "How to construct nationally representative firm level data from the ORBIS global database," CEPR Discussion Papers 10829, C.E.P.R. Discussion Papers.
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    Keywords

    Financial and economic analysis; Composite indicators; ICT R & D and Innovation; Industrial research and innovation; Research and innovation policies; Digital Economy;
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