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.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13541 LNCS, pp. 495–499). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16802-4_52
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