Opendata, web and dolomites


European Data Science Academy

Total Cost €


EC-Contrib. €






Project "EDSA" data sheet

The following table provides information about the project.


Organization address
address: WALTON HALL
postcode: MK7 6AA

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 United Kingdom [UK]
 Project website
 Total cost 2˙976˙189 €
 EC max contribution 2˙976˙189 € (100%)
 Programme 1. H2020-EU. (Content technologies and information management: ICT for digital content, cultural and creative industries)
 Code Call H2020-ICT-2014-1
 Funding Scheme CSA
 Starting year 2015
 Duration (year-month-day) from 2015-02-01   to  2018-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE OPEN UNIVERSITY UK (MILTON KEYNES) coordinator 617˙331.00
4    OPEN DATA INSTITUTE LBG UK (CHELTENHAM) participant 323˙131.00
6    INSTITUT JOZEF STEFAN SI (LJUBLJANA) participant 273˙125.00
7    IDEXLAB SAS FR (PARIS) participant 230˙062.00
9    PERSONTYLE LIMITED UK (HARROW MIDDLESEX) participant 121˙889.00
10    PERSONTYLE GROUP LIMITED UK (LONDON) participant 98˙110.00


 Project objective

Data explosion on the web, fuelled by social networking, micro-blogging, as well as crowdsourcing, has led to the Big Data phenomenon. This is characterized by increasing volumes of structured, semi-structured and unstructured data, originating from sources that generate them at an increasing rate. This wealth of data provides numerous new analytic and business intelligence opportunities to various industry sectors. Therefore, more and more industry sectors are in need of innovative data management services, creating a demand for Data Scientists possessing skills and detailed knowledge in this area. Ensuring the availability of such expertise will prove crucial if businesses are to reap the full benefits of these advanced data management technologies, and the know-how accumulated over the past years by researchers, technology enthusiasts and early adopters.

The European Data Science Academy (EDSA) will establish a virtuous learning production cycle whereby we: a) analyse the required sector specific skillsets for data analysts across the main industrial sectors in Europe; b) develop modular and adaptable data science curricula to meet these needs; and c) deliver training supported by multiplatform and multilingual learning resources based on our curricula. The curricula and learning resources will be continuously evaluated by pedagogical and data science experts during both development and deployment.


List of deliverables.
Report on the evaluation of course content and delivery 2 Documents, reports 2019-03-08 17:52:58
Individual, joint and external exploitation plans Documents, reports 2019-03-08 17:53:01
Report on the delivery of video lectures, webinars and face-to-face-trainings 2 Documents, reports 2019-03-08 17:52:45
Interim community engagement and networking report Documents, reports 2019-03-08 17:52:59
Lessons learned and best practices from the production of learning resources Documents, reports 2019-03-08 17:52:47
Data science curricula 1 Documents, reports 2019-03-08 17:53:20
Website Websites, patent fillings, videos etc. 2019-03-08 17:52:59
Report on the delivery of video lectures, webinars and face-to-face trainings 3 Documents, reports 2019-03-08 17:52:51
Project exploitation report Documents, reports 2019-03-08 17:52:55
Study evaluation report 1 Documents, reports 2019-03-08 17:53:04
Learning resources 1 Other 2019-03-08 17:54:54
Key figures of attained audience Documents, reports 2019-03-08 17:52:50
Updated EDSA Data Management Plan Open Research Data Pilot 2019-03-08 17:53:02
Data science curricula 3 Documents, reports 2019-03-08 17:53:15
Report on the evaluation of course content and delivery 1 Documents, reports 2019-03-08 17:52:58
Final EDSA Data Management Plan Open Research Data Pilot 2019-03-08 17:53:04
Project Showcase Documents, reports 2019-01-10 14:58:03
The EDSI Charter Documents, reports 2019-01-10 14:58:03
Final community engagement and networking report Documents, reports 2019-01-10 14:58:02
Preliminary individual, joint and external exploitation plans Documents, reports 2019-01-10 14:58:03
Study design document Documents, reports 2019-01-10 14:58:02
Report on the delivery of video lectures, webinars and face-to-face trainings 1 Documents, reports 2019-01-10 14:58:02
Demand and supply analysis report Documents, reports 2019-01-10 14:58:03
Learning resources 3 Other 2019-01-10 14:58:02
Establishing EDSI Documents, reports 2019-01-10 14:58:02
Learning resources 2 Other 2019-01-10 14:58:03
Data science curricula 2 Documents, reports 2019-01-10 14:58:03
Study evaluation report 2 Documents, reports 2019-01-10 14:58:03
Initial EDSA Data Management Plan Open Research Data Pilot 2019-01-10 14:58:03
Real-world and online community engagement plan Documents, reports 2019-01-10 14:58:02
Industry advisory board Documents, reports 2019-01-10 14:58:03

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


year authors and title journal last update
List of publications.
2016 Christopher Phethean, Elena Simperl, Thanassis Tiropanis, Ramine Tinati, Wendy Hall
The Role of Data Science in Web Science
published pages: 102-107, ISSN: 1541-1672, DOI: 10.1109/MIS.2016.54
IEEE Intelligent Systems 31/3 2019-05-29
2018 A.-S. Dadzie, E.M. Sibarani, I. Novalija, S. Scerri
Structuring visual exploratory analysis of skill demand
published pages: 51-70, ISSN: 1570-8268, DOI: 10.1016/j.websem.2017.12.004
Journal of Web Semantics 49 2019-05-29
2015 Dadzie, Aba-Sah and Domingue, John
Visual Exploration of Formal Requirements for Data Science Demand Analysis
published pages: 1-12, ISSN: , DOI:
VOILA 2015 1456 2019-05-29
2015 Mukala, Patrick, Joos Buijs, Maikel Leemans, and Wil van der Aalst
Learning Analytics on Coursera Event Data: A Process Mining Approach
published pages: , ISSN: , DOI:
Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015) 2019-05-29
2017 Mikroyannidis, Alexander; Domingue, John; Phethean, Christopher; Beeston, Gareth and Simperl, Elena
The European Data Science Academy: Bridging the Data Science Skills Gap with Open Courseware
published pages: , ISSN: , DOI:
Open Education Global Conference 2017 03/2017 2019-05-29
2015 Mukala, P., J. C. A. M. Buijs, and W. M. P. van der Aalst
Exploring students\' learning behaviour in MOOCs using process mining techniques
published pages: , ISSN: , DOI:
BPM Center Report 15-10 2019-05-29
2015 P. Mukala J.C.A.M. Buijs W.M.P. van der Aalst
Uncovering learning patterns in a MOOC through conformance alignments
published pages: , ISSN: , DOI:
BPM Center Report 15-09 2019-05-29
2017 Mikroyannidis, Alexander, Domingue, John, Phethean, Christopher, Beeston, Gareth, Paul and Simperl, Elena
Designing and Delivering a Curriculum for Data Science Education across Europe
published pages: , ISSN: , DOI:
20th International Conference on Interactive Collaborative Learning (ICL 2017) 2017/05 2019-05-29

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

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