The contribution of R&D specialist institutions to R&D performance: Findings from the NESTI 2022 pilot data collection
Long-standing policy interest in the role of organisations specialised in research and experimental development (R&D) raises questions about how these organisations are classified under different institutional sectors and contribute to R&D statistics This paper reports on the findings of the...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2023
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Schriftenreihe: | OECD Science, Technology and Industry Working Papers
no.2023/04 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Long-standing policy interest in the role of organisations specialised in research and experimental development (R&D) raises questions about how these organisations are classified under different institutional sectors and contribute to R&D statistics This paper reports on the findings of the pilot data collection conducted in 2022. The results show a diverse range of R&D specialist ecosystems as well as major reporting gaps. The ultimate aim of this exercise and its recommendations is to demonstrate how several OECD countries are able to provide meaningful statistical results using OECD guidance and promote the mainstreaming of reporting into future national and OECD R&D statistics. |
Beschreibung: | 1 Online-Ressource (51 p.) 21 x 28cm. |
DOI: | 10.1787/d7917b11-en |
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spelling | Galindo-Rueda, Fernando VerfasserIn aut The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection Fernando, Galindo-Rueda and Brigitte, van Beuzekom Paris OECD Publishing 2023 1 Online-Ressource (51 p.) 21 x 28cm. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Science, Technology and Industry Working Papers no.2023/04 Long-standing policy interest in the role of organisations specialised in research and experimental development (R&D) raises questions about how these organisations are classified under different institutional sectors and contribute to R&D statistics This paper reports on the findings of the pilot data collection conducted in 2022. The results show a diverse range of R&D specialist ecosystems as well as major reporting gaps. The ultimate aim of this exercise and its recommendations is to demonstrate how several OECD countries are able to provide meaningful statistical results using OECD guidance and promote the mainstreaming of reporting into future national and OECD R&D statistics. Science and Technology van Beuzekom, Brigitte MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/d7917b11-en Volltext |
spellingShingle | Galindo-Rueda, Fernando The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection Science and Technology |
title | The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection |
title_auth | The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection |
title_exact_search | The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection |
title_full | The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection Fernando, Galindo-Rueda and Brigitte, van Beuzekom |
title_fullStr | The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection Fernando, Galindo-Rueda and Brigitte, van Beuzekom |
title_full_unstemmed | The contribution of R&D specialist institutions to R&D performance Findings from the NESTI 2022 pilot data collection Fernando, Galindo-Rueda and Brigitte, van Beuzekom |
title_short | The contribution of R&D specialist institutions to R&D performance |
title_sort | contribution of r d specialist institutions to r d performance findings from the nesti 2022 pilot data collection |
title_sub | Findings from the NESTI 2022 pilot data collection |
topic | Science and Technology |
topic_facet | Science and Technology |
url | https://doi.org/10.1787/d7917b11-en |
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