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Data4Impact SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Data4Impact" data sheet

The following table provides information about the project.

Coordinator
VIESOJI ISTAIGA VIESOSIOS POLITIKOSIR VADYBOS INSTITUTAS 

Organization address
address: GEDIMINO PR 50/A ROTUNDO G 2
city: VILNIUS
postcode: 1110
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Lithuania [LT]
 Project website http://www.data4impact.eu/
 Total cost 1˙499˙978 €
 EC max contribution 1˙499˙978 € (100%)
 Programme 1. H2020-EU.3.6.2. (Innovative societies)
 Code Call H2020-SC6-CO-CREATION-2017
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-11-01   to  2019-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VIESOJI ISTAIGA VIESOSIOS POLITIKOSIR VADYBOS INSTITUTAS LT (VILNIUS) coordinator 300˙000.00
2    ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS EL (MAROUSSI) participant 436˙875.00
3    HOEGSKOLAN I BORAS SE (BORAS) participant 250˙250.00
4    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 199˙250.00
5    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 195˙478.00
6    QUALIA TECHNOLOGIES KATANOISIS ANONYMOS ETAIRIA EL (KIFISIA) participant 118˙125.00

Map

 Project objective

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 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. Through these objectives, activities and competences Data4Impact addresses both key issues described in the specific CO-CREATION-08-2016-2017 call.

 Deliverables

List of deliverables.
Analysis of publication and patent data related to the Health, Demographic Change and Wellbeing Societal Challenge report Documents, reports 2020-03-24 10:51:30
Interim platform operation report Documents, reports 2020-03-24 10:52:00
Online prototype report + feasibility study Documents, reports 2020-03-24 10:51:32
Methodology related to the pilot analysis of company, EU Projects, policy documents, policy guideline and social media/media data report Documents, reports 2020-03-24 10:51:34
Policy report on new indicators and approaches for assessing the societal impact of research and innovation activities Documents, reports 2020-03-24 10:51:32
Final report on the conceptual framework & proposed indicators Documents, reports 2020-03-24 10:51:36
Analysis of company, EU Projects, policy documents, clinical guideline and social media/media data report Documents, reports 2020-03-24 10:51:30
Final platform operation report Documents, reports 2020-03-24 10:51:33
Interim use case evaluation report Documents, reports 2020-03-24 10:51:58
Final Dissemination, Communication and Exploitation plan Documents, reports 2020-03-24 10:51:36
New indicators for impact and policy making assessment interim report Documents, reports 2020-03-24 10:51:52
Final use case evaluation report Documents, reports 2020-03-24 10:51:35
Use Cases and Pilots: Definition of Methodology Documents, reports 2020-03-24 10:57:27
Draft Dissemination, Communication and Exploitation plan Other 2019-04-18 15:05:51
Intermediate report on the conceptual framework Documents, reports 2019-04-18 15:05:56
Project handbook Documents, reports 2019-04-18 15:05:54
Proposed Topic Modelling workflow report Documents, reports 2019-04-18 15:05:48
Platform high-level architecture and data flows Documents, reports 2019-04-18 15:05:52

Take a look to the deliverables list in detail:  detailed list of Data4Impact deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Lukas Pukelis, Vilius Stančiauskas
The Opportunities and Limitations of Using Artificial Neural Networks in Social Science Research
published pages: 56-80, ISSN: 1392-1681, DOI: 10.15388/polit.2019.94.2
Politologija 94/2 2020-01-29
2019 Ekström, B.
Developing a rule-based method for identifying researchers on Twitter: The case of vaccine discussions
published pages: , ISSN: , DOI:
2020-01-29
2019 Eklund, J., Lorentzen, D.G., & Nelhans, G.
MESH classification of clinical guidelinesusing conceptual embeddings of references
published pages: , ISSN: , DOI:
2020-01-29
2018 Aris Fergadis, Christos Baziotis, Dimitris Pappas, Haris Papageorgiou, Alexandros Potamianos
Hierarchical bi-directional attention-based RNNs for supporting document classification on protein–protein interactions affected by genetic mutations
published pages: , ISSN: 1758-0463, DOI: 10.1093/database/bay076
Database 2018 2020-01-29

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The information about "DATA4IMPACT" are provided by the European Opendata Portal: CORDIS opendata.

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