RISIS – Research Infrastructure for Research and Innovation Policy Studies (Infrastruttura di ricerca distribuita di interesse pan–Europeo)

RISIS aims at building a pan-European distributed infrastructure of services and data relevant to research and innovation dynamics and policies and for research in the Research and Innovation Policy Studies macro domain.

The Infrastructure aims to support the development of a new generation of analyses and indicators on Research and Innovation, aimed at a deeper understanding of knowledge dynamics and evidence relevant to R&D and innovation policies.

The IR is structured on an integrated system of complementary resources and tools and is developed through specific areas of intervention:

  • construction and development of datasets on issues not covered by the OECD data collection, according to the Frascati and Oslo manuals;
  • development of open platforms to support the construction and processing of ad-hoc datasets on research and innovation issues;
  • development of harmonised and open access references that facilitate interlinking and integration between existing datasets.

The datasets cover five critical dimensions: European Research Area dynamics, business innovation dynamics, public sector research, research careers and a repository on research and innovation policy evaluation.

The current development of RISIS includes:

  • the activation of an integrated and open platform for transnational virtual access to datasets and the integration of other open access data and information;
  • the maintenance and development of existing datasets;
  • the creation of four new datasets on key R&I policy topics (social innovation, non-technological innovation, role of PhDs in society, portfolio of public funding instruments);
  • the development of freely accessible services for information on research actors, through registries, ontologies for research topic identification and semantic analysis, visualisation and open access mapping systems;
  • promotion of training activities, methodological workshops on the processing and use of data and for the development of mutual learning systems, aimed at building and enlarging the community of researchers working on Research and Innovation topics.

Last updated: 13 October 2023