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

TL;DR

This paper demonstrates how open data sources can be used to map climate change research activities in Denmark, overcoming taxonomy conflicts and providing comprehensive insights for STI policy-making.

Contribution

It introduces a method to integrate open data for mapping research landscapes across conflicting taxonomies, specifically applied to climate change research in Denmark.

Findings

Successful mapping of climate change research activities in Denmark.

Effective integration of diverse open data sources.

Insights into research distribution across ERC panels.

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.