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Mapping STI Ecosystems via Open Data: Overcoming the Limitations of Conflicting Taxonomies. A Case Study for Climate Change Research in Denmark

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Linking Theory and Practice of Digital Libraries (TPDL 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13541))

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Abstract

Science, Technology and Innovation (STI) decision-makers often need to have a clear vision of what is researched and by whom to design effective policies. Such a vision is provided by effective and comprehensive mappings of the research activities carried out within their institutional boundaries. A major challenge to be faced in this context is the difficulty in accessing the relevant data and in combining information coming from different sources: indeed, traditionally, STI data has been confined within closed data sources and, when available, it is categorised with different taxonomies. Here, we present a proof-of-concept study of the use of Open Resources to map the research landscape on the Sustainable Development Goal (SDG) 13 – Climate Action, for an entire country, Denmark, and we map it on the 25 ERC panels.

This work was partly funded by the European Commission H2020 Programme via the INODE project, under grant agreement No. 863410.

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Notes

  1. 1.

    We choose Denmark as our case study because (i) it is a medium-size country and the size of its scientific production is such that one can practically retrieve all the documents from publications repositories, (ii) Danish R &D ecosystem is internationally visible and competitive and (iii) Denmark is internationally acknowledged as being one of the leading countries in terms of climate action policies and efforts (1st in the world according to the 2022 Environmental Performance Index (EPI)).

  2. 2.

    https://cordis.europa.eu/.

  3. 3.

    https://kohesio.ec.europa.eu/.

  4. 4.

    We made an overall comparison with results produced by Scopus: the number of records was much lower than what found both in OpenAIRE and OpenAlex, for the same country and time period.

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Authors and Affiliations

  1. SIRIS Lab, Research Division of SIRIS Academic, 08003, Barcelona, Spain

    Nicandro Bovenzi, Nicolau Duran-Silva, Francesco Alessandro Massucci, Francesco Multari & Josep Pujol-Llatse

Authors
  1. Nicandro Bovenzi
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  2. Nicolau Duran-Silva
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  3. Francesco Alessandro Massucci
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  4. Francesco Multari
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  5. Josep Pujol-Llatse
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Corresponding author

Correspondence to Francesco Alessandro Massucci .

Editor information

Editors and Affiliations

  1. University of Padua, Padua, Italy

    Gianmaria Silvello

  2. Universidad Politécnica de Madrid, Madrid, Spain

    Oscar Corcho

  3. CNR-ISTI – National Research Council, Pisa, Italy

    Paolo Manghi

  4. University of Padua, Padua, Italy

    Giorgio Maria Di Nunzio

  5. Linnaeus University, Växjö, Sweden

    Koraljka Golub

  6. University of Padua, Padua, Italy

    Nicola Ferro

  7. Sapienza University of Rome, Rome, Italy

    Antonella Poggi

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Bovenzi, N., Duran-Silva, N., Massucci, F.A., Multari, F., Pujol-Llatse, J. (2022). Mapping STI Ecosystems via Open Data: Overcoming the Limitations of Conflicting Taxonomies. A Case Study for Climate Change Research in Denmark. In: Silvello, G., et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham. https://doi.org/10.1007/978-3-031-16802-4_52

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  • DOI: https://doi.org/10.1007/978-3-031-16802-4_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16801-7

  • Online ISBN: 978-3-031-16802-4

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