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Smart Specialisation monitoring tool
Published on 14 July 2021
Spain
Extremadura
This is the good practice's implementation level. It can be national, regional or local.
About this good practice
The RIS3 Monitoring System integrates external and internal data on the R&D&I activities of all the agents of the innovation system, allowing, through interactive visualisations and full access to the data, to carry out an in-depth exploration of the ecosystem, to analyse and better understand the R&D&I activities of all actors and the evolution of the regional smart specialisation pattern.
Its objective is to provide evidences on the smart specialisation process in order to facilitate its analysis and inform the decisions of policy-makers and those responsible for its implementation.
The tool made it possible to solve three problems identified in the monitoring of the RIS3 Extremadura:
- Lack of granular data on R&D activities and results, with sufficient detail and frequency of updating.
- Difficulty in classifying R&D activities and results into S3 priorities or identifying its alignment with the societal challenges.
- Partial and segmented view, due to lack of integrated data about the existing R&D financial instruments.
The tool, based on the open data and semantic web paradigms, is available in a completely open way at: http://observatorio.ris3extremadura.es/
This tool was carried out by Extremadura’s RIS3 Technical Office with the collaboration of a significant number of regional stakeholders who helped us to design the tool: staff of the regional government, the University of Extremadura, National bodies that also facilitated the task.
Its objective is to provide evidences on the smart specialisation process in order to facilitate its analysis and inform the decisions of policy-makers and those responsible for its implementation.
The tool made it possible to solve three problems identified in the monitoring of the RIS3 Extremadura:
- Lack of granular data on R&D activities and results, with sufficient detail and frequency of updating.
- Difficulty in classifying R&D activities and results into S3 priorities or identifying its alignment with the societal challenges.
- Partial and segmented view, due to lack of integrated data about the existing R&D financial instruments.
The tool, based on the open data and semantic web paradigms, is available in a completely open way at: http://observatorio.ris3extremadura.es/
This tool was carried out by Extremadura’s RIS3 Technical Office with the collaboration of a significant number of regional stakeholders who helped us to design the tool: staff of the regional government, the University of Extremadura, National bodies that also facilitated the task.
Resources needed
Since 2018, Extremadura’s RIS3 Technical Office has been in charge of the development of this tool. For this task, it has an annual budget of around 85.000,00 euros that covers staff and technical assistance.
Evidence of success
The main success of the tool is that it integrates internal (regional) and external (European and National) data sources, allowing policy makers and other stakeholders to have information about R&D projects, their topics, actors, etc. in a single tool.
It solves 2 aspects of the RIS3 Monitoring and Evaluation System: to better understand the regional R&D activities, its actors and the evolution of regional specialisation; and to facilitate the decision-making process in the design of policies.
It solves 2 aspects of the RIS3 Monitoring and Evaluation System: to better understand the regional R&D activities, its actors and the evolution of regional specialisation; and to facilitate the decision-making process in the design of policies.
Potential for learning or transfer
The process to integrate different data sources and its exploitation has been possible thanks to the use and the adoption of the linked open data approach and the use of semantic web technologies.
The linked open data standard allows to overcome the limitations of having data in disconnected silos.
By making use of semantic capabilities, data from different information systems can be simultaneously interconnected.
At the same time, the use of these technologies which are designed based on ontologies (a representation of a certain knowledge domain) allows the data to be exploited considering the specific context and needs of the analyst or policymaker (and therefore to adapt the data to the specific needs of the region).
The possibility of having open and interconnected data facilitate the analysis between and across different regional or national departments and also to capture the different needs of the different stakeholders involved in the monitoring process.
The linked open data standard allows to overcome the limitations of having data in disconnected silos.
By making use of semantic capabilities, data from different information systems can be simultaneously interconnected.
At the same time, the use of these technologies which are designed based on ontologies (a representation of a certain knowledge domain) allows the data to be exploited considering the specific context and needs of the analyst or policymaker (and therefore to adapt the data to the specific needs of the region).
The possibility of having open and interconnected data facilitate the analysis between and across different regional or national departments and also to capture the different needs of the different stakeholders involved in the monitoring process.
Further information
Website
Good practice owner
You can contact the good practice owner below for more detailed information.
Organisation
Fundecyt-Pctex
Spain
Extremadura
Contact
Project Manager