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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 €

EC-Contrib. €

Partnership

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Outcomes and
results

Data4Impact project word cloud

Explore the words cloud of the Data4Impact project. It provides you a very rough idea of what is the project "Data4Impact" about.

disseminate online 2017 impacts wellbeing recent co thanks natural model employ dimensions rapid throughput monitoring involvement specialist language learning creation stages he competences 2016 performance explore domains capitalise data4impact generating big placed technological introduction hands tools data techniques input health 08 reaching machine conceptual oa innovation national mining yield utilise tackling infrastructures treatment stakeholders validate output uniquely levels mine volumes analytics assessing indicator possesses domain technologies demographic social media indicators engage mechanisms collect societal

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 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.	LT (VILNIUS)	coordinator	300˙000.00
2	ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS Organization address address: ARTEMIDOS 6 KAI EPIDAVROU city: MAROUSSI postcode: 151 25 website: www.athena-innovation.gr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EL (MAROUSSI)	participant	436˙875.00
3	HOEGSKOLAN I BORAS HOEGSKOLAN I BORAS Organization address address: ALLEGATAN 1 city: BORAS postcode: 50190 website: www.hb.se contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	SE (BORAS)	participant	250˙250.00
4	CONSIGLIO NAZIONALE DELLE RICERCHE CONSIGLIO NAZIONALE DELLE RICERCHE Organization address address: PIAZZALE ALDO MORO 7 city: ROMA postcode: 185 website: www.cnr.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (ROMA)	participant	199˙250.00
5	FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. Organization address address: HANSASTRASSE 27C city: MUNCHEN postcode: 80686 website: www.fraunhofer.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (MUNCHEN)	participant	195˙478.00
6	QUALIA TECHNOLOGIES KATANOISIS ANONYMOS ETAIRIA QUALIA TECHNOLOGIES KATANOISIS ANONYMOS ETAIRIA Organization address address: VORIOU IPIROU 4 city: KIFISIA postcode: 14564 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.	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

List of publications.
year	authors and title	journal	last update
2019	Lukas Pukelis, Vilius StanÄiauskas 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	EkstrÃ¶m, 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 proteinâ€“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.