The newly created Big Data Value contractual public-private partnership (cPPP) needs strong operational support for community outreach, coordination and consolidation, as well as widely recognised benchmarks and performance evaluation schemes to avoid fragmentation or overlaps, and to allow measuring progress in (Big) Data challenges by solid methodology, especially in emerging areas where the significance of Big Data is rapidly increasing. Also, there is an urgent need to improve the education, professional training and career dynamics (including addressing the existing gender gaps in ICT) so that the profiles of data professionals better respond to the rapidly evolving needs of data intensive industry sectors.
a. One Coordination and Support Action (CSA) will perform all of the following tasks:
The Commission considers that proposals requesting a contribution from the EU of about EUR 5 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts. No more than one action will be funded.
b. Research and Innovation Actions
The benchmarking action will identify specific data management and analytics technologies of European significance, define benchmarks and organise evaluations that allow following their certifiable progress on performance parameters (including energy efficiency) of industrial significance. The benchmarking and evaluation schemes will liaise closely with data experimentation/integration (ICT-14) and Large Scale Pilot (ICT-15) projects to reach out to key industrial communities, to ensure that benchmarking responds to their real needs and problems, and to provide a basis for measuring the success of the PPP. The "European significance" of industry/technology sectors should be determined and documented by objective criteria such as turnover, world-wide market share and growth rates of the European companies who provide or use such technologies. When real datasets cannot be made available for benchmarking, synthetic datasets will be acceptable, provided that they are produced by models that certifiably produce data distributions approximating real datasets in all respects that are industrially relevant. The action shall address areas of activity that do not yet have a benchmarking/evaluation scheme.
The Commission considers that proposals requesting a contribution from the EU of about EUR 2 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.
a. Coordination and Support action
b. Research and Innovation actions