Data4Impact | Big Data approaches for improved assessment of the societal impact in the Health, Demographic Change & Wellbeing Societal Challenge✎
Towards this fact-based era, Data4Impact aspires to develop a set of new indicators for assessing research and innovation performance based on a hands-on and data-driven approach. It targets the Health, Demographic Change and Wellbeing societal challenge at national and EU levels, as this domain guarantees the richest availability of relative data and therefore the optimal fact checking opportunity
Recent technological developments in data mining, data treatment and data analysis have been rapid and far reaching, offering new dimensions and opportunities for performance analytics in various domains. The introduction of new technologies and initiatives, including open access mechanisms and social media/online media, has been generating increasing volumes of new data on the research domain. Data4Impact aims to capitalise on these developments and utilise big data approaches to improve the monitoring of research and innovation performance and assessment of the societal impact in the Health, Demographic Change and Wellbeing Societal Challenge.
The project has the following main objectives:
- define, develop, analyse and disseminate new indicators for assessing the performance of EU and national research and innovation systems;
- explore and collect “big” data on health-related societal challenges at input, throughput, output/result and impact levels;
- employ big data approaches to yield more data on the societal impact of national and EU funding on tackling health-related societal challenges;
- engage stakeholders in the project activities, validate the project results and develop new indicators and tools using a hands-on approach.
It will do so by developing a robust conceptual model addressing all key stages of the innovation process; mining large volumes of data on research results and impacts; and analysis of these data using topic modelling, machine learning and other techniques aimed at natural language processing. The Data4Impact consortium possesses specialist knowledge of the health domain & indicator systems, and is uniquely placed to mine data and apply big data approaches thanks to the partner’s long-standing involvement in OA e-infrastructures and big data analytics.
- Public Policy and Management Institute, Lithuania
- Athina-Erevnitiko Kentro Kainotomias Stis Technologies, Greece
- Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V., Germany
- Consiglio Nazionale Delle Ricerche, Italy
- University of Boras, Sweden
- Qualia Technologies Katanoisis Anonymos Etairia, Greece