Digital
Single Market
Big Data Value
policy context and PPP
Big Data Europe SC7 workshop
Brussels, 18 October 2016
Kimmo Rossi, Head of R&I sector, CNECT.G1
Digital
Single Market
2
Policy context - mandate
• Council conclusions of 25 Oct 2013 called for EU action to
provide the right framework conditions for a single market
for big data and cloud computing
• Towards a Thriving Data-Driven Economy COM(2014)442 –
framework conditions for a data-based economy in the EU –
mandate for the PPP
• Digitisation of European Industry COM(2016)180 – Big Data
is an important contributor/element in the DEI
• Communication & legislative proposal: Building a European
Data Economy (coming around the end of 2016)
Digital
Single Market
Strategic objectives
3
I. EU leadership in Big Data technologies
through increased investments
II. Create a data market
III. Create a thriving data economy – engine
for growth and jobs
Europe needs an efficient
data ecosystem
4
Digital
Single Market
Big Data is transforming Business models
Big Data Value PPP - characteristics
 Industry-driven – because it needs to mobilise and
transform (both IT and user) industries in order to break a
new path to growth and jobs
 Broad and horizontal – because data challenges appear
in most industrial and societal domains – need to achieve
synergies and create links with user industries, other PPPs,
Societal Challenges, national and regional initiatives
6
SC7 – synergies with H2020 LEIT WP
 ICT-18 Privacy-Preserving Big Data Technologies
 One of the five Big Data PPP topics in H2020 LEIT WP
 2016 call for proposals yielded 3 RIA and 1 CSA projects
 Blockchains, linked data, applications in healthcare, mobile
communications, analytics
 The ICT-18 RIA projects
 Will start 1/1/2017 (or earlier)
 Provide industrial use cases for privacy-preserving technologies
 Empower the data subjects to monitor and decide about the use of
their personal data
 The ICT-18 CSA project
 Addresses the ethical and societal issues of Big Data
 Cross-disciplinary, following RRI-SSH principles
 Will engage broader communities (data subjects, citizens, consumers,
NGOs...) 7
Thank you for your attention!
8

SC7 Workshop 2: Big Data, Societal Challenges and the Policy Context

  • 1.
    Digital Single Market Big DataValue policy context and PPP Big Data Europe SC7 workshop Brussels, 18 October 2016 Kimmo Rossi, Head of R&I sector, CNECT.G1
  • 2.
    Digital Single Market 2 Policy context- mandate • Council conclusions of 25 Oct 2013 called for EU action to provide the right framework conditions for a single market for big data and cloud computing • Towards a Thriving Data-Driven Economy COM(2014)442 – framework conditions for a data-based economy in the EU – mandate for the PPP • Digitisation of European Industry COM(2016)180 – Big Data is an important contributor/element in the DEI • Communication & legislative proposal: Building a European Data Economy (coming around the end of 2016)
  • 3.
    Digital Single Market Strategic objectives 3 I.EU leadership in Big Data technologies through increased investments II. Create a data market III. Create a thriving data economy – engine for growth and jobs
  • 4.
    Europe needs anefficient data ecosystem 4
  • 5.
    Digital Single Market Big Datais transforming Business models
  • 6.
    Big Data ValuePPP - characteristics  Industry-driven – because it needs to mobilise and transform (both IT and user) industries in order to break a new path to growth and jobs  Broad and horizontal – because data challenges appear in most industrial and societal domains – need to achieve synergies and create links with user industries, other PPPs, Societal Challenges, national and regional initiatives 6
  • 7.
    SC7 – synergieswith H2020 LEIT WP  ICT-18 Privacy-Preserving Big Data Technologies  One of the five Big Data PPP topics in H2020 LEIT WP  2016 call for proposals yielded 3 RIA and 1 CSA projects  Blockchains, linked data, applications in healthcare, mobile communications, analytics  The ICT-18 RIA projects  Will start 1/1/2017 (or earlier)  Provide industrial use cases for privacy-preserving technologies  Empower the data subjects to monitor and decide about the use of their personal data  The ICT-18 CSA project  Addresses the ethical and societal issues of Big Data  Cross-disciplinary, following RRI-SSH principles  Will engage broader communities (data subjects, citizens, consumers, NGOs...) 7
  • 8.
    Thank you foryour attention! 8