The document outlines the Big Data Value Association's strategic research and innovation agenda aimed at transforming the European data economy through public-private partnerships and funding initiatives. It emphasizes the importance of big data in healthcare, industrial adoption, and secure data sharing to enhance competitiveness and innovation. Key goals include fostering community engagement, addressing technical challenges, and promoting efficient data management and analytics across various sectors.

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Transforming the European Data Economy:
A Strategic Research and Innovation Agenda
Prof. Dr. Milan Petković, Vice President BDVA, Philips
Dr. Edward Curry, Vice President BDVA, Insight

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Big Data Public Private Partnership
European Commission
Big Data Projects
within Horizon 2020
• Projects running within 2017
– 2021
• Expected Total Funding
~ 500 MEUR
Big Data Value
AssociaHon
• Industry driven, Defines
Research and InnovaHon
Agenda, Specifies Key
Performance Indicators
AssociaHon proposes
research objecHves
Grant Agreement
per project
EU and Industry
agreed on a
cPPP to conduct
strategic Big
Data Value
research and
innovation
Stakeholder Community
Stakeholders
Large
Industry SMEs
Research
community
End users
Contractual
Arrangement
…

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Who is behind BDVA?

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When is Data ‘Big’ for BDVA? A bet for Value
Volume Velocity Veracity Variety Value
Data at Rest
Terabytes to
exabytes of exis@ng
data to process
Data in
Mo@on
Streaming data,
requiring mseconds to
respond
Data in Many
Forms
Structured,
unstructured, text,
mul@media,…
Data in Doubt
Uncertainty due to
data inconsistency &
incompleteness,
ambigui@es, latency,
decep@on
€
€
€
€
€
€ €
€
Data into
Money
Business models can
be associated to the
data
Adapted by a post of Michael Walker on 28 November 2012

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“The digital revolution is not a dream for the future; it is happening now,
transforming economy and society. The key challenge for Europe is to
fully capture the opportunity and value of digitization.”
Jürgen Müller, President BDVA
Big Data Value cPPP PROGRESS MONITORING
REPORT – 2015
“R&D investments in 2015 related to this
strategy are EUR 2.8B”
&
“signed a joint Industrial Data Analy@cs
investment program of EUR 150M”
“invested in R&D EUR 1.9B in 2015”

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The European healthcare challenge
EU spends around 10% of its GDP on
healthcare
Only 3% of healthcare budgets of the 28 EU
Member States is spent on preven@on
80% of cardiovascular diseases, 90% of
diabetes 2 and 50% of cancers are
preventable

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Meaningful solu@ons
to deliver beYer care
at lower costs
Need for transforma@on of Health(care)

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Meaningful solu@ons
to deliver beYer care
at lower costs
Unleashing the power of Big Data

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Connected care and health informaHcs
PrevenHon Healthy living Diagnosis Treatment Home care
Connected personalized care

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Aggrega@ng different data silos
Healthcare
providers
Health
Tech
sector
Payers Pharma
sector
Hospitals, GPs,
Health Systems
Consumer
Integrated data
Insights

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HealthSuite Cloud plaborm, open and secure
Enabling
innova+ve
capabili+es and
services

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Boost European BIG DATA research, development and
innovation by:
strengthening competitiveness and ensuring industrial
leadership
promoting the widest and best uptake of BIG DATA
technologies and services
establishing the excellence of the science base in the
field of BIG DATA
Goals of BDVA

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Work together to organize an IMPACTFUL program
Efficiency: Further develop the EU big data ecosystem (i-
Spaces)
Proof points: Demonstrate the impact of Big Data and show
the value (Lighthouses - large scale pilots)
Innovation: Create impactful research results
BDVA focus points

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BDVA internal activities
TF1: Programme: Contributing to the H2020 Programme content of the BDV PPP
TF2: Impact: Maintain the various KPIs defining the expected Impact of BDV PPP
TF3: Community: Big data community engagement and participation
TF4: Communication: Communication plan for creating awareness around the BDVA
TF5: Legal: Bridge Big Data technology with legal and policy matters
TF6: Technical: Identifying and refining the technical challenges of the programme – eg Data Management
TF7: Application: Domain usage group which can influence others – eg Telecoms
TF8: Business: Examining the business and economic influences and business areas
TF9: Societal: Examining the societal impact on business, citizens
TF10: Skills and Education: What skills are needed for the next knowledge workers
TF0: Administrative and strategic activities requested by BDVA GA/BOD
Organiza@on

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BDVA internal activities
TF1: Programme: Contributing to the H2020 Programme content of the BDV PPP
TF2: Impact: Maintain the various KPIs defining the expected Impact of BDV PPP
TF3: Community: Big data community engagement and participation
TF4: Communication: Communication plan for creating awareness around the BDVA
TF5: Legal: Bridge Big Data technology with legal and policy matters
TF6: Technical: Identifying and refining the technical challenges of the programme – eg Data Management
TF7: Application: Domain usage group which can influence others – eg Telecoms
TF8: Business: Examining the business and economic influences and business areas
TF9: Societal: Examining the societal impact on business, citizens
TF10: Skills and Education: What skills are needed for the next knowledge workers
TF0: Administrative and strategic activities requested by BDVA GA/BOD
Innova@on
TF1: Programme

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BDVA: STRATEGIC RESEARCH
AND INNOVATION AGENDA

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A Holistic Big Data Value Ecosystem
Big Data
Value Chains
Skills
Legal
Technical
ApplicaHon
Business
Social

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The main BDV cPPP Elements are:
Innovation Spaces: Cross-sector
interdisciplinary Data Innovation hubs
Lighthouse projects:
Demonstrate Big Data Value
R & I Projects: addressing technical
priorities defined BDV SRIA
Ecosystem Enablers: Non-technical
including business models, standards,
etc.
Business
Models

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2016 2017 2018 2019 2020
Horizon 2020 Work Programme 16/17 18/ 19 2020 Beyond PPP
Lighthouse Projects
European InnovaHon Spaces
R&I and InnovaHon Projects
Ecosystem Enablers
3 Stages
1st Gen. High-Impact Sectors
2nd Gen. High-Impact Sectors
Establish Federation
Governance
Innovation Acceleration
Phase 1
Establish InnovaHon
Ecosystem
Phase 2
Pioneer DisrupHve
SoluHons
Phase 3
Ecosystem
Sustainability

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3 KEY IMPACTS TO SCALE
THE DATA ECONOMY

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Impact #1: Industrial Adoption of
Big Data
Barrier: Europe is behind other regions
in the adoption of Big Data
BDV PPP Action: Drive the adoption of
big data to transform industrial sectors

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Technology Adoption Lifecycle
Rogers, Evere^ M. (1962). Diffusion of InnovaHons. Glencoe: Free Press. ISBN 0-612-62843-4.
Central interest
Pleasure of
exploring the
new technology
properties
Buy new product
concept very
early
Not technologists
Strong sense of
practicality
Wait until something
has become an
established standard
Not comfortable with
technology
Don’t want
anything to do
with new
technology
Technology
enthusiast
Pragmatists
ConservativesVisionaries
The Chasm

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Lighthouse Projects (ICT-15)
• Demonstrate Big Data Value
in a target industrial sector
• Large-scale data-driven
demonstraHons
• Propose replicable solu@ons
by using exisHng technologies
or very near to market
technologies
• Create high level impact and
broadcast visibility

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Demonstrate Relative Advantage: Demonstrate increase of
productivity/competitiveness of the target sector
Provide proof points: Availability of evidence and practice
efficacy for the target sector to justify investment
Risk: Understanding of the level of risk associated with the
implementation and adoption
Develop Ecosystem: Connect key stakeholders within the
sector across the value chain with active participation
(including SMEs).
Sustainability: Enable large scale replication for sectorial
transformation
Lighthouses: Driving Adoption

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Impact # 2: Promote Secure Data Sharing for
Innovation
Barrier: Availability of data is paramount, but
data sharing is an uncommon
BDV PPP Action: Facilitate Cross-domain
Data sharing & Foster Data Experimentation

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European Innovation Spaces (ICT-14)
(i-Spaces for short)
Hubs to bring together…
Data Owners
+
Data Innovators
...in a secure, trusted,
and controlled
environment
From “proof of concept” to
“proof of ROI”

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I-Spaces will deliver:
Support Cross-Domain Data Integration
• Simplify data analytics carried out over datasets from
different companies and sectors
• Shorten time to market for new data products and
services
Incubate and Support Data Experimentation
• Encourage participation of SMEs and web entrepreneurs
• Support testing and benchmarking of technologies,
applications, and business models.

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Impact # 3: Technical Innovation
Barrier: New techniques are need to create
new opportunities and develop or sustain
competitive advantages
BDV PPP Action: Overcome Technical
Barriers to delivering Big Data Value
Solutions

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Philips Healthcare Transformation
Interoperability
Decision Support
User Experience
Real-Time Analysis
Data-in-Motion Privacy and TrustData-in-Motion and
Data at Rest

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BDV SRIA Technical Priorities
Deliver new Big Data
technology allowing for deep
analytics capacities on data-
at-rest and data-in-motion
while providing sufficient
privacy guarantees, optimized
user experience support and a
sound data engineering
framework.
Data Management
Data Processing Architectures
Data Analytics
Data Protection
Data Visualization and User Experience

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BDV PPP will support Key Ecosystem
Enablers including:
Skills Standardiza@on
• Increase # data
professionals in
sectors and across
businesses func@ons
• Industrial-focused
training for:
• Data-intensive
Engineers
• Data Scien@sts
• Data-intensive
Business Experts
Business Models
• Leveraging exis@ng
common standards
• Integra@ng na@onal
efforts on an
interna@onal
(European) level
• Educa@on ac@vity to
promote standards
• Mechanisms to
establish data value
contribu@on
• Sustainable business
models for data-
driven economy
• Significant
involvement of SMEs
and web
entrepreneurs
See the BDV SRIA for full coverage of all elements

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The Big Data Value Strategic Research and
Innovation Agenda (BDV SRIA) defines the
overall goals, main technical and non-technical
priorities, and a research and innovation
roadmap for the European contractual Public
Private Partnership (cPPP) on Big Data Value.
SRIA Update – Community Survey - 2016
Strategic Research and Innovation Agenda
What is the SRIA?
• Built upon inputs and analysis from SMEs and Large
Enterprises, public organisaHons, and research and
academic insHtuHons.
• Mul@ple workshops and consulta@ons took place to ensure
the widest representaHon of views and posiHons
• Approximately 200 organisa@ons and other relevant
stakeholders physically par@cipa@ng and contribuHng.
SRIA is based on strong community involvement
We invite you to share your opinion by answering a
short quesHonnaire on h^p://www.bdva.eu
Open un@l 30. September 2016.

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Block your agenda:
BDVA Summit (29 Nov-2Dec)

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THANK YOU
Further Information:
Milan Petkovic: milan.petkovic@philips.com
(Vice President BDVA)
Edward Curry: edward.curry@insight-centre.org
(Vice President BDVA)
BDVA: http://www.bdva.eu/
info@bigdatavalue.eu