SC7 Workshop 2: Big Data, Societal Challenges and the Policy Context
1. 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
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
6. 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
7. 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