european network of national big data centers of...

© Know-Center GmbH, www.know-center.at

European Network of

National Big Data Centers of Excellence

Stefanie Lindstaedt & Volker Markl

LANDSCAPING BIG DATA EXPERTISE

i-KNOW Conference | 19.10.2016

© Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics

European Network of


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A Joint European Initiative

Centersof

Excellence

Coordinater

Founder

Volker Markl Stefanie Lindstaedt


European Network of


• Landscape & Connect Europe’s Big Data Competence

• Based on Research Topics & Domains

• Focusing on Research to Industry approaches

• Foster the Transfer of Research into Industry

• Strengthen Europe’s Big Data competence position

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Vision


European Network of


• Increase exchange and collaboration in research

• Identify synergies for educational collaboration

• Foster matchmaking between research programs and

initiatives

• Share best practices and lessons learned on business

approaches

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Goals of the Network


European Network of


Open to all

• Research Centres on Big Data

• Based in an European Union Member States

• Founded and Supported by the federal governments as well as

University and similar institutions

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Open to all Centers of Excellences


European Network of


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Invited

Coordinator>55 Big Data Center from 15 Countries

• Austria

• Belgium

• Denmark

• Finland

• France

• Germany

• Great Britain

• Greece

• Ireland

• Italy

• Netherlands

• Norway

• Spain

• Sweden

• Switzerland


Survey Results

1. Center of Excellence in Data Science

2. Amsterdam Data Science

3. Know-Center GmbH

4. SIRIUS Centre for Scalable Data Access in the Oil & Gas

Domain

5. TeraLab

6. Data Science (at DEIB, Politecnico di Milano)

7. Data and Web Science Group, University of Mannheim

8. Helsinki Institute for Information Technology HIIT

9. Cineca - SCAI SuperComputing Applications and

Innovations

10.Big Data Value Center

11.CINI Big Data Lab

12.CeADAR: National Centre for Applied Data Analytics

13.Engineering Data Science R&D lab

14. Imperial College London

15.Big Insight

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Participants

16.Data Science Center Eindhoven

17.Fundació Privada I2CAT

18.The Data Lab

19.Big Data CoE Barcelona

20.Smart Data Innovation Lab

21.Center of Excellence on Large Scale Signal Processing

22.Berlin Big Data Center

23.Leiden Data Science

24.Frankfurt Big Data Lab

25.Delft Data Science

26.SINTEF Big Data

27.Complexity Science Hub Vienna

28.Big Data Value Center

29.VRVis Zentrum für Virtual Reality und Visualisierung

Forschungs-GmbH

30.ScaDS Dresden/Leipzig - Competence Center for Scalable

Data Services and Solutions

31. Insight


Focus of each Center

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Application vs. Research


Focus of Research Field

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Focus of Application Domain

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Competence Landscape

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http://i-know.tugraz.at/european-network/

http://i-know.tugraz.at/european-network/


European Network of


Set-Up coordinating consortium & project plan

Seek & Invite Big Data Centers

• Open for suggestions of further CoEs

Evaluation of the individual competences

• Survey organizational structure, research topics, application

focus, etc.

Meet @ i-KNOW 18.-19. October 2016 in Graz Austria

• Finalize Landscape, Exchange Knowledge, Network

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Status


Topic Tables

I. Analytics & ML

II. Visualization & Human-Computer-Interaction

III. Hardware, Systems & HPC

IV. Business Models

V. Education

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Topic Tables

a. What are the key challenges?

b. What are the strengths and weaknesses of Europe in

this area?

c. What would you need to maximize impact?

d. What are you doing to address these challenges

already?

e. Who are the key competitors internationally?

f. Who are your strategic partners in academia and

industry?

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I Analytics & ML

• There is a gap from talent to exploitation

• Good education, high creativity, good theoretical underlinings

• Too few SAPs, brain drain

• Unbalanced: Good Analytics <> Bad Systems

• Need more systems, improved tools, algorithm that explain

themselves

• Immature in practice

• More focus will result in clearer expectations and impact for

science and industry

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II Visual Analytics & Human Computer Interaction

• Do we need Humans? vs. We need interactive systems

to control the things

• Not just vis-analysis of data but vis-analysis of analytic

models and algorithms

• Personalized data-interpretation: Expert vs. User

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III Hardware, HPC & Systems

• Hard to keep up with the high speed of change within

systems and frameworks

• There is a significant disconnect between HPC and Big

Data Frameworks

• Innovations are too less driven by Europe‘s big

companies

• More support for entrepeneurship

• More open source and open innovation projects & thinking

• How to deal with the big infrastructure providers

(Facebook, Amazon, Google)?

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IV Business Models

• There is big diversity between the centers w.r.t focus and

business approach

• Closing the gap between science and industry is

essential but it is also the main challenge

• research exploitation pipeline, industry and university

• Consulting and education on Data Science to manage

the expectations

• Standardize project workflows

• 80% is data management and cleaning

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V Data Science Education

• Job profile

• Definitions of the Data Scientist, interdisciplinary, Train a team not

an individual

• Shape a curriculum

• Requirements on a general level, shape the needs of industry and

science

• International studies

• Data scientist exchange

• Lack of network, missing sufficient data scientist exchange

programs

• Education as a business model

• Attract and retrain students, train the trainers , life long learning

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NEXT STEPS

• Have a more precise look into the best practises and

key achievements of each center

• Work on Grand Challenges

• Meet regulary (BDVA-summit in Valencia)

• Align with BDVA & BDVE

• Task Force of Know-Center and BBDC is expanded by

• INSIGHT, SICS, ADS, UniResearch

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European Network of National Big Data Centers of Excellence

Prof. Dr. Stefanie Lindstaedt

[email protected]

Prof. Dr. Volker Markl

[email protected]

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Get in contact with us!

mailto:[email protected]

mailto:[email protected]

© Know-Center GmbH

Know-Center GmbH

Research Center for Data-Driven

Business and Big Data Analytics

Inffeldgasse 13/6

8010 Graz, Austria

Firmenbuchgericht Graz

FN 199 685 f

UID: ATU 50367703

gefördert durch das Programm COMET (Competence Centers for Excellent Technologies), wir danken unseren Fördergebern:

Paul CzechBusiness Development & Internationalization

[email protected]

Phone +43 316-873-30897Mobile +43 664-2886298Fax +43 316-873-1030897

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