View this email in your browser


EURITO project aims at developing new indicators for R&I policy, using new types of data, novel analytical methods and interactive visualizations. In this line, EURITO has been working on different streams of analysis to determine the potential of different data sources for addressing burning R&I policy questions, in order to generate a set of high quality and automatically updatable Relevant, Inclusive, Timely, Trusted and Open indicators. 

In this regard, here we bring relevant documents where it is explained the results achieved to date, that we think might be of your interest: 

  • D3.3 R&I Performance Indicators, with a preliminary list of indicators to be developed within EURITO.  
  • D5.1 Visualization Prototype. Here we provide the basis to support the development of a set of data visualizations and data reporting tools for our performance indicators enabling a better decision-making. 
  • Collaborate by joining any of our project’s Stakeholder Groups

R&I Performance Indicators

The present report compiles, systemize and dissect the developed indicators within EURITO project, built upon the combination of data sources, quantitative methods and data infrastructure, to satisfy the RITO criteria under the following four scale-up themes: 

         1. Emerging Technology and Mapping 

         2. New Research Funding Analytics 

         3. Inclusive and Mission-Oriented R&I 

         4. Predictive Analytics 

In the previous works, the requirements of the data infrastructure have been defined to make sure that the developed indicators (and connected data) are easily accessible to users, as well as the quantitative methods and descriptive and prescriptive analysis methods that are used to produce indicators from datasets

More info. 

Visualization Prototypes 



Interactive data visualizations have the potential to help manage and understand where, when, how and why innovation is happening, by offering policy and decision-makers the opportunity to explore and navigate through the complex, multi-dimensional datasets, encouraging further exploration of novel data sources and open it up to wider audiences making R&I policy-making processes more transparent and democratic.

Through these tools we aimed to show how new data sources and analytical methods can capture relations between entities, such as collaboration between organizations in the innovation system, or proximity between disciplines in a knowledge map, making complex networks easier to interpret and navigate when they are presented in an interactive format. 

In this report, we summarize the emerging findings of each of the eight pilots and provide examples of the visualizations that have been produced. 

We hope that this will provide the basis to support the development of a set of data visualizations and data reporting tools that allow the dissemination of the findings of the project in a way that informs action.

More info. 

EURITO stakeholders’ groups
Would you be interested in collaborating with the EURITO project by joining any of our project’s Stakeholder Groups (Data Knowledge or Policymaker)?

If you would be interested in joining the EURITO PSG or KSG, or to collaborate during the project development, please complete the following questionnaire

Feedback, Comments and general reaching out, are always welcome. Please contact us at
Feedback, Comments and general reaching out, are always welcome. Please contact us at


This project has received funding from the European Union’s Horizon 2020 research and innovation framework programme under Grant Agreement n° 770420.

The contents of this newsletter are the sole responsibility of the authors and can in no way be taken to reflect the views of the European Union.

Copyright © 2019 Eurito project H2020, All rights reserved.

Want to change how you receive these emails?
You can update your preferences or unsubscribe from this list.

Email Marketing Powered by Mailchimp