Mapping STI ecosystems via Open Data: overcoming the limitations of conflicting taxonomies. A case study for Climate Change Research in Denmark
This work addresses the challenge for STI decision-makers in accessing and integrating data from diverse sources to inform policy design, though it is incremental as it builds on existing open data methods.
The study tackled the problem of mapping Science, Technology and Innovation ecosystems by using Open Data to overcome conflicting taxonomies, specifically applying this approach to map Climate Change research in Denmark across 25 ERC panels as a proof-of-concept.
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.