Measuring governments' R&D funding response to COVID-19: An application of the OECD Fundstat infrastructure to the analysis of R&D directionality
This paper presents new evidence on the size and direction of governments' R&D funding response to the COVID-19 pandemic through the exploration of a novel data infrastructure, the OECD Fundstat initiative for the analysis of government-funded R&D projects. The document reports on the e...
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| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Paris
OECD Publishing
2023
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| Series: | OECD Science, Technology and Industry Working Papers
no.2023/06 |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | This paper presents new evidence on the size and direction of governments' R&D funding response to the COVID-19 pandemic through the exploration of a novel data infrastructure, the OECD Fundstat initiative for the analysis of government-funded R&D projects. The document reports on the exploratory development and application of automatic classification tools to detect relevant COVID-19 R&D funding, map salient topics and classify and allocate project funding according to priorities in the WHO COVID-19 R&D Blueprint, as well as comparing results with similar analysis of scientific publication output data. The results provide new insights on which areas of enquiry were prioritised by governmental R&D funding bodies. |
| Physical Description: | 1 Online-Ressource (68 Seiten) 21 x 28cm. |
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| spelling | Aristodemou, Leonidas VerfasserIn aut Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality Leonidas, Aristodemou ... [et al] Paris OECD Publishing 2023 1 Online-Ressource (68 Seiten) 21 x 28cm. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Science, Technology and Industry Working Papers no.2023/06 This paper presents new evidence on the size and direction of governments' R&D funding response to the COVID-19 pandemic through the exploration of a novel data infrastructure, the OECD Fundstat initiative for the analysis of government-funded R&D projects. The document reports on the exploratory development and application of automatic classification tools to detect relevant COVID-19 R&D funding, map salient topics and classify and allocate project funding according to priorities in the WHO COVID-19 R&D Blueprint, as well as comparing results with similar analysis of scientific publication output data. The results provide new insights on which areas of enquiry were prioritised by governmental R&D funding bodies. Science and Technology Industry and Services Galindo-Rueda, Fernando MitwirkendeR ctb Matsumoto, Kuniko MitwirkendeR ctb Murakami, Akiyoshi MitwirkendeR ctb |
| spellingShingle | Aristodemou, Leonidas Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality Science and Technology Industry and Services |
| title | Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality |
| title_auth | Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality |
| title_exact_search | Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality |
| title_full | Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality Leonidas, Aristodemou ... [et al] |
| title_fullStr | Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality Leonidas, Aristodemou ... [et al] |
| title_full_unstemmed | Measuring governments' R&D funding response to COVID-19 An application of the OECD Fundstat infrastructure to the analysis of R&D directionality Leonidas, Aristodemou ... [et al] |
| title_short | Measuring governments' R&D funding response to COVID-19 |
| title_sort | measuring governments r d funding response to covid 19 an application of the oecd fundstat infrastructure to the analysis of r d directionality |
| title_sub | An application of the OECD Fundstat infrastructure to the analysis of R&D directionality |
| topic | Science and Technology Industry and Services |
| topic_facet | Science and Technology Industry and Services |
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