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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Abstract (arXiv)
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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References · 5
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020SPECTER: Document-level Representation Learning using Citation-informed Transformerscited by 426
- 2019How to Fine-Tune BERT for Text Classification?cited by 409
- 2022OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and conceptscited by 166
- 2022Topic Modelling on Consumer Financial Protection Bureau Data: An Approach Using BERT Based Embeddingscited by 5
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