Research & Innovation - Participant Portal


TOPIC : Big data PPP: Support, industrial skills, benchmarking and evaluation

Topic identifier: ICT-17-2016-2017
Publication date: 14 October 2015

Types of action: CSA Coordination and support action
Opening date:
20 October 2015
Deadline: 12 April 2016 17:00:00

Types of action: RIA Research and Innovation action
Opening date:
08 December 2016
Deadline: 25 April 2017 17:00:00

Time Zone : (Brussels time)
  Horizon 2020 H2020 website
Pillar: Industrial Leadership
Work Programme Year: H2020-2016-2017
Topic Updates
  • 16 January 2017 16:24

    As of 1st January 2017, Switzerland is associated to the entire H2020 programme. In consequence, it is now also associated to this topic. In a nutshell this means that Swiss partners in a proposal are now on an equal footing with partners from EU Member States or other Associated Countries. For the details, please read this note.

Topic Description
Specific Challenge:

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:

  • support the community building, the administration and governance of the cPPP, in close collaboration with the cPPP governance bodies; facilitate discussion on relevant topics such as the framework conditions of the data economy; organise events and contribute to synergies and coordination between the actors and stakeholders of the cPPP and beyond;
  • liaise with and build on related actions[1] and support the establishment of national centres of excellence in all Member states, and exchange knowledge on the universities' data scientist programmes across all Member States; to align curricula and training programmes to industry needs; to stimulate and promote (among the organisations participating in the Big Data PPP actions) exchanges of students, confirmed data professionals and domain experts that would acquire data skills and let them work on a specific Big Data challenge/project in a company or a research centre/university in another Member State.

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.

Expected Impact:

a. Coordination and Support action

  • At least 10 major sectors and major domains supported by Big Data technologies and applications developed in the PPP;
  • 50% annual increase in the number of organisations that participate actively in the PPP;
  • Significant involvement of SMEs and web entrepreneurs to the PPP;
  • Constant increase in the number of data professionals in different sectors, domains and various operational functions within businesses;
  • Networking of national centres of excellence and the industry, contributing to industrially valid training programs.

b. Research and Innovation actions

  • Availability of solid, relevant, consistent and comparable metrics for measuring progress in Big Data processing and analytics performance;
  • Availability of metrics for measuring the quality, diversity and value of data assets;
  • Sustainable and globally supported and recognized Big Data benchmarks of industrial significance.
Cross-cutting Priorities:

Contractual Public-Private Partnerships (cPPPs)

[1]Such as the European Data Science Academy (, EIT ICT Labs KIC and Marie Sklodowska-Curie Actions (MSCA)

Topic conditions and documents

Please read carefully all provisions below before the preparation of your application.

  1. List of countries and applicable rules for funding: described in part A of the General Annexes of the General Work Programme.
    Note also that a number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects (follow the links to China, Japan, Republic of Korea, Mexico, Russia, Taiwan).

  2. Eligibility and admissibility conditions: described in part B and C of the General Annexes of the General Work Programme

    Proposal page limits and layout: Please refer to Part B of the standard proposal template.

  3. Evaluation

    3.1  Evaluation criteria and procedure, scoring and threshold: described in part H of the General Annexes of the General Work Programme

    3.2 Submission and evaluation process: Guide to the submission and evaluation process

  4. Indicative timetable for evaluation and grant agreement:

    Information on the outcome of single-stage evaluation: maximum 5 months from the deadline for submission.
    Signature of grant agreements: maximum 8 months from the deadline for submission.

  5. Provisions, proposal templates and evaluation forms for the type(s) of action(s) under this topic:

    Research and Innovation Action:

    Specific provisions and funding rates
    Standard proposal template
    Standard evaluation form
    H2020 General MGA -Multi-Beneficiary
    Annotated Grant Agreement

    Coordination and Support Action:

    Specific provisions and funding rates
    Standard proposal template
    Standard evaluation form
    H2020 General MGA -Multi-Beneficiary
    Annotated Grant Agreement

  6. Additional provisions:

    Horizon 2020 budget flexibility

    Classified information

  7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions, and proposals must refer to measures envisaged. Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.

    This topic participates per default in the open access to research data pilot which aims to improve and maximise access to and re-use of research data generated by projects:

    • The pilot applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available for open access and need to describe their approach in a Data Management Plan (to be provided within six months after the project start).

    • Note that the evaluation phase proposals will not be evaluated more favourably because they are part of the Pilot, and will not be penalised for opting out of the Pilot.

    • Projects can at any stage opt-out of the pilot.

    The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
    Further information on the Open Research Data Pilot is made available in the H2020 Online Manual.

  8. Additional documents:
    H2020 Work Programme 2016-17: Introduction
    H2020 Work Programme 2016-17: Introduction to Leadership in enabling and industrial technologies (LEITs)
    H2020 Work Programme 2016-17: Information and communication technologies (ICT)
    H2020 Work Programme 2016-17: Dissemination, Exploitation and Evaluation
    H2020 Work Programme 2016-17: General Annexes
    Legal basis: Horizon 2020 - Regulation of Establishment
    Legal basis: Horizon 2020 Rules for Participation
    Legal basis: Horizon 2020 Specific Programme


Additional documents

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