mlsanityData to 7 Oct 2026

Mapping STI ecosystems via Open Data: overcoming the limitations of conflicting taxonomies. A case study for Climate Change Research in Denmark

arXiv 2209.08920 ↗First posted 19 Sep 2022cs.DL cs.CLcited by 0

Not on the map. Why?

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 14 references that are in the map. First posted on arXiv 19 Sep 2022.

Builds on

5 of 14 references.

References · 5

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020SPECTER: Document-level Representation Learning using Citation-informed Transformerscited by 426
  3. 2019How to Fine-Tune BERT for Text Classification?cited by 409
  4. 2022OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and conceptscited by 166
  5. 2022Topic Modelling on Consumer Financial Protection Bureau Data: An Approach Using BERT Based Embeddingscited by 5

Built on by

Not cited yet.