The European Data Forum 2014 emphasizes the importance of public-private partnerships in enhancing Europe’s big data capabilities. Key discussions focused on creating a strategic research and innovation agenda, defining a clear big data value chain, and ensuring the long-term competitiveness of Europe through industry-led initiatives. The forum highlighted the need for collaboration, technical standards, and skilled personnel to overcome challenges in the big data landscape.

1. European Data Forum 2014

2. European Data Forum 2014
BIG
Big Data Public Private Forum
NEELIE KROES @ EDF 2014….
……A CALL FOR ACTION
“a public private partnership…can
be a powerful way to work together…
Public money is not free money.
Before you can unlock it you need a
very clear plan, showing how any
public investment will work, how it
connects to the activities around it,
and how it will pay off…we need a
Strategic Research and
Innovation Agenda … from a
broad, inclusive and representative
basis, pulling together different
priorities, so they make sense………
we need to do all this quickly, and
to the highest quality”
Neelie Kroes
Vice-President of the
European Commission

3. European Data Forum 2014
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Big Data Public Private Forum
AGENDA
11:20 A Big Data Value Innovation Ecosystem for
Europe: A Business Perspective.
Harald Schöning, Software AG, NESSI Board
11:45 Launch of the PPP/Consultation process
Marta Nagy-Rothengass, Head of Unit Data Value
Chain, DG CONNECT
11:35 Towards a Big Data Public Private Partnership
Nuria De Lama, Atos, NESSI, BIG
11:50 The Big Data Value Chain
Edward Curry, NUIG, BIG
12:00 Big Data Transformations of Sectors
Helen Lippell Press Association Sonja Zillner Siemens
12:10 Question & Answers Session
All

4. BIG
Big Data Public Private Forum
The BIG Project
BIG aims to promote a well-developed EU industrial
landscape in Big Data:
▶ Providing a clear picture of existing technology trends and
their maturity
▶ Acquiring a sharp understanding of how Big Data can be
applied to concrete environments / use cases
▶ Pushing European Big Data research and innovation to
contribute in increasing European competitiveness
▶ Building a self-sustainable, industry-led initiative
Overall Objective
Work at technical, business and policy levels, shaping
the future through the positioning of IIM and Big Data
specifically in Horizon 2020.
Bringing the necessary stakeholders into a self-
sustainable industry-led initiative, which will greatly
contribute to enhance the EU competitiveness taking
full advantage of Big Data technologies.

5. „NESSI is the European Technology Platform for the new
Digital Information Society and Economy 2.0, powered by
software and services and data“
The Mission
" Provide thought leadership in Europe on the convergence of the networks of data,
things and services
" Drive convergence and transformation by strengthening and advancing the software
and service-based economies in Europe
" Stimulate the creation of ecosystems around software, services, and data
" Provide visionary, comprehensive input to the European Commission, thereby
shaping the European research and innovation agenda
The Challenge
" To promote the long-term importance of Software and Services
eco-system and innovations for Europe’s competitiveness
The Software & Services Focus Areas
" Big Data Value
" Cloud Computing
" Cyber Physical Systems
" All underpinned by Software Engineering
What is NESSI?
European Data Forum 2014

6. European Data Forum 2014
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Big Data Public Private Forum
The role of BIG & NESSI
• Both BIG and NESSI have aligned interests in
fostering Big Data Value creation for Europe
through Research & Innovation activities
• BIG and NESSI are facilitators in the process
of establishing an PPP
www.bigdatavalue.eu

7. 7European Data Forum 2014 BIG 318062
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Big Data Public Private Forum
THE BIG DATA VALUE CHAIN
Edward Curry, National University of Ireland Galway
European Data Forum, Athens, 20 February 2014

8. 8European Data Forum 2014 BIG 318062
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Big Data Public Private Forum
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SECTORIAL FORUMS AND TECHNICAL
WORKING GROUPS
Health Public Sector
Finance &
Insurance
Telco, Media&
Entertainment
Manufacturing,
Retail, Energy,
Transport
Needs Offerings
Big Data Value Chain
Technical Working Groups
Industry Driven Sectorial Forums
Data
Acquisition
Data
Analysis
Data
Curation
Data
Storage
Data
Usage
• Structured data
• Unstructured data
• Event processing
• Sensor networks
• Protocols
• Real-time
• Data streams
• Multimodality
• Stream mining
• Semantic analysis
• Machine learning
• Information
extraction
• Linked Data
• Data discovery
• ‘Whole world’
semantics
• Ecosystems
• Community data
analysis
• Cross-sectorial data
analysis
• Data Quality
• Trust / Provenance
• Annotation
• Data validation
• Human-Data
Interaction
• Top-down/Bottom-up
• Community / Crowd
• Human Computation
• Curation at scale
• Incentivisation
• Automation
• Interoperability
• In-Memory DBs
• NoSQL DBs
• NewSQL DBs
• Cloud storage
• Query Interfaces
• Scalability and
Performance
• Data Models
• Consistency,
Availability, Partition-
tolerance
• Security and Privacy
• Standardization
• Decision support
• Prediction
• In-use analytics
• Simulation
• Exploration
• Visualisation
• Modeling
• Control
• Domain-specific
usage

9. 9European Data Forum 2014 BIG 318062
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Big Data Public Private Forum
TECHNICAL WORKGROUP APPROACH
Senior
Academic
Senior
Management
Middle
Researcher
Middle
Management
Position
in
Organisation
University
MNC
SME
Other
Types
of
Organisations
1. Literature & Technical Survey
2. Subject Matter Expert Interviews
3. Stakeholder Workshops
4. Online Questionnaire (with
NESSI)
• Early adopters
• Business enablement
• Technical maturity
• Key Opinion Leaders
Methodology
Interviewee Breakdown
Target Interviewee

10. 10European Data Forum 2014 BIG 318062
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SUBJECT MATTER EXPERT INTERVIEWS

11. 11European Data Forum 2014 BIG 318062
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WORKING GROUP RESULTS
Interviews and Technical White Papers available on:
http://www.big-project.eu
Expert Interviews Technical Whitepapers
▶ Executive Overview
▶ Key Insights
▶ Social & Economic
Impact
▶ Concise State of the Art
▶ Future Requirements &
Emerging Trends
▶ Sector-specific Case
Studies
Next versions released
in April

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KEY INSIGHTS
Key Trends
▶ Lower usability barrier for data tools
▶ Blended human and algorithmic data processing for coping with
for data quality
▶ Leveraging large communities (crowds)
▶ Need for semantic standardized data representation
▶ Significant increase in use of new data models (i.e. graph)
(expressivity and flexibility)
▶ Much of (Big Data) technology
is evolving evolutionary
▶ But business processes change
must be revolutionary
▶ Data variety and verifiability
are key opportunities
▶ Long tail of data variety is a
major shift in the data landscape
The Data Landscape
▶ Lack of Business-driven Big
Data strategies
▶ Need for format and data
storage technology standards
▶ Data exchange between
companies, institutions,
individuals, etc.
▶ Regulations & markets for data
access
▶ Human resources: Lack of
skilled data scientists
Biggest Blockers
Technical White Papers available on:
http://www.big-project.eu

13. 13European Data Forum 2014 BIG 318062
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Big Data Public Private Forum
TECHNICAL WORKING GROUP LEADERS
Data
Acquisition
Data
Analysis
Data
Curation
Data
Storage
Data
Usage
Axel Ngonga
ngonga@infor
matik.uni-
leipzig.de
John Domingue
john.domingue
@open.ac.uk
Edward Curry
ed.curry@der
i.org
Martin Strohbach
MStrohbach@agtin
ternational.com
Tilman Becker
becker@dfki.de
▶ Join the bigdatavalue.eu
mailing list
@BIG_FP7
http://big-project.eu/
info@big-project.eu