Mapping STI ecosystems via Open Data: overcoming the limitations of conflicting taxonomies. A case study for Climate Change Research in Denmark
September 19, 2022 Β· Declared Dead Β· π International Conference on Theory and Practice of Digital Libraries
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Authors
Nicandro Bovenzi, Nicolau Duran-Silva, Francesco Alessandro Massucci, Francesco Multari, Cèsar Parra-Rojas, Josep Pujol-Llatse
arXiv ID
2209.08920
Category
cs.DL: Digital Libraries
Cross-listed
cs.CL
Citations
0
Venue
International Conference on Theory and Practice of Digital Libraries
Last Checked
3 months ago
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.
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