Research & Innovation - Participant Portal


TOPIC : Big data PPP: privacy-preserving big data technologies

Topic identifier: ICT-18-2016
Publication date: 14 October 2015

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

Time Zone : (Brussels time)
  Horizon 2020 H2020 website
Pillar: Industrial Leadership
Work Programme Year: H2020-2016-2017
Topic Description
Specific Challenge:

In view of privacy considerations, businesses are often unsure about how to deal with the data collected through their operations. This data is of particularly high value to companies for offering personalised services or developing new business models. Data subjects (citizens, consumers) often feel that they have no control over the use of their personal data. This is aggravated by uncontrolled exploitation, aggregation and linking of personal data by large corporations and advertisers. The resulting lack of confidence undermines efficient and legitimate data sharing and value creation for agreed purposes. The challenge is to develop technologies that are inherently privacy-preserving and offer the basis for empowering the data subjects to understand and be informed of (and, where appropriate, control) the use of their personal data, and the entrepreneurs to develop and run their data driven business.

  1. Research and Innovation actions will advance the state of the art in the definition of methods that will support protection of personal data for harvesting, sharing and querying data assets. The personal data protection methods shall be implemented in secure and robust software modules and be exposed to publicly administered penetration/hacking challenges, open to participants the world over. Cross-disciplinary consortia are required to conduct legally and methodologically sound field work and coordinate with the CSA to determine i) if the various formal notions of personal data protection implemented are consistent with EU legislation and with the ethical intuitions of the EU citizens such methods are designed to protect; ii) to what extent privacy protection measures can be personalised in a way that remains intelligible to the data subject while remaining consistent with EU legislation. The diversity (e.g. in terms of age, sex, gender, socio-economic class) of data subjects should be taken into account, as appropriate. The data experimentation and integration projects (ICT-14) are likely to provide real-world challenges and data to validate the privacy-preserving technologies. The Commission considers that proposals requesting a contribution from the EU of between EUR 2 and 4 million would allow this area to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.
  2. Coordination and Support Actions will complement the research by exploring the societal and ethical implications and provide a broad basis and wider context to validate privacy-preserving technologies. The CSA is expected to liaise with a broad and multidisciplinary community of stakeholders (including public administrations, research community, companies, civil society, citizens) to advise the research and innovation in privacy-preserving (Big) Data technologies, promoting an integrated societally and ethically valid approach. Another task is to observe, map and report on ethical and Responsible Research and Innovation (RRI) issues in the field of Big Data, including technology, research, markets and education. The action is expected to organise networking, awareness-raising and consultation among its communities, connect with the technical RIAs to inform their thinking and issue reports, analyses and recommendations. The Commission considers that proposals requesting a contribution from the EU of about EUR 1 million would allow this area 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.
Expected Impact:

a. Research and Innovation actions

  • Substantial improvement of technologies for data access, processing and analysis to better protect consumer and personal data and respect security in line with existing and future EU rules on the protection of personal data, and as measured in terms of improved confidence and satisfaction of data subjects by the end of 2020;
  • Substantial improvements towards creating a secure environment for data access, process and analysis, demonstrated in the use situations that arise in the data experimentation/integration projects (ICT-14).

b. Coordination and Support action

  • Appropriate consideration and attention towards an ethically sound approach to big data processing, and effective involvement of the relevant actors and stakeholders;
  • Improving the dialogue between data subjects and Big Data communities (industry, research, policy makers, regulators), thereby improving the confidence of citizens towards Big Data technologies and data markets.
Cross-cutting Priorities:

Socio-economic science and humanities
Contractual Public-Private Partnerships (cPPPs)

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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