Data4Impact - Big DATA approaches FOR improved monitoring of research and innovation performance and assessment of the societal IMPACT in the Health, Demographic Change and Wellbeing Societal Challenge (DIT.AD005.037)

Thematic area

Engineering, ICT and technologies for energy and transportation

Project area

Structure responsible for the research project

Institute of information science and technologies "Alessandro Faedo" (ISTI)

Project manager

PAOLO MANGHI
Phone number: +39 050 621 2038
Email: paolo.manghi@isti.cnr.it

Abstract

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 he
following main objectives: a) define, develop, analyse and disseminate new indicators for assessing the performance
of EU and national research and innovation systems; b) explore and collect "big" data on health-related societal
challenges at input, throughput, output/result and impact levels; c) employ big data approaches to yield more data on
the societal impact of national and EU funding on tackling health-related societal challenges; d) engage stakeholders
in the project activities, validate the project results

Goals

The project has he following main objectives:
a) define, develop, analyse and disseminate new indicators for assessing the performance of EU and national research and innovation systems;
b) explore and collect "big" data on health-related societal challenges at input, throughput, output/result and impact levels;
c) employ big data approaches to yield more data on the societal impact of national and EU funding on tackling health-related societal challenges; d) 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.

Start date of activity

01/11/2017

Keywords

big data, health, indicators, societal impact,, SC1, data mining, topic modeling, machine learning,, social media/media analysis, clinical guidelines, tools

Last update: 23/05/2025