This new version of the R&I Territorial Economic Data Viewer will provide a comprehensive territorial data visualization (at NUTS levels 0, 1, and 2) of EU R&I funding and beyond.
Territorial statistical information includes macro-economic regional data, micro-level beneficiary information as well as a number of derived combined indicators from multiple data sources.
Users can easily compare different R&I funds and perform territorial benchmarking at different NUTS levels. Results can be easily exported in several formats suitable for static and dynamic publications.
Territorial statistical information includes macro-economic regional data, micro-level beneficiary information as well as a number of derived combined indicators from multiple data sources.
Users can easily compare different R&I funds and perform territorial benchmarking at different NUTS levels. Results can be easily exported in several formats suitable for static and dynamic publications.
- Eurostat R&I Indicators (Source: ESTAT Catalogue)
- Horizon2020 Funding awarded to project participants (Source: DG R&I H2020 Grant Database)
- R&I-related investments under the European Structural and Investment Funds (ESIF) (Source: DG REGIO Cohesion Open Data Portal)
- ORBIS Database (Source: BVD)
- Eurostat Micro-level Data Sources (Source: ESTAT dedicated webpage here)
- Horizon2020 successful participants (Source: DG R&I H2020 Grant Database)
- JRC-WIFO Database on ERDF Beneficiaries (Source: JRC-WIFO Technical Report available here)
- Users can simultaneously visualise territorial information on these funding sources both as a stand-alone statistical information and through a number of derived combined indicators.
- Users can easily zoom / compare sub-categories of spending reflecting the different taxonomies adopted in the monitoring / implementation of these funds.
- Users can perform bilateral regional benchmarking at the NUTS level of interest as well as through a set of pre-defined territorial categories / grouping commonly used across Europe.
- Users can export statistical information (maps, histograms, etc.) as well as underlying data in a report-friendly format suitable for both static and dynamic documents.