TOPIC : Big Data technologies and extreme-scale analytics
|Publication date:||27 October 2017|
|Types of action:||CSA Coordination and support action , RIA Research and Innovation action|
|DeadlineModel: Opening date:||single-stage 31 October 2017||Deadline:||17 April 2018 17:00:00|
|Time Zone : (Brussels time)|
Topic DescriptionSpecific Challenge:
Rapidly increasing volumes of diverse data from distributed sources create challenges for extracting valuable knowledge and commercial value from data. This calls for novel methods, approaches and engineering paradigms in analytics and data management. As the success will require not only efficient data processing/management but also sufficient computing capacity and connectivity, a coordinated action with all related areas (e.g. analytics, software engineering, HPC, Cloud technologies, IoT) is necessary and will contribute to a European leadership in these areas.Scope:
a) Research and Innovation Actions developing new big data analytics methodologies and engineering solutions addressing industrial and/or societal challenges. Proposals may cover (but are not limited to): architectures for collecting and managing vast amounts of data; system engineering/tools to contribute to the co-design of secure federated/distributed systems (to involve all stakeholders/technology areas); new methods for extreme-scale analytics, deep analysis, precise predictions and decision making support; novel visualization techniques; standardized interconnection methods for efficient sharing of heterogeneous data pools, seamlessly using distributed tools and services.
The data assets should be available to the project and described in the proposal. The Commission considers that proposals requesting a contribution from the EU of between EUR 3 and 6 million would allow this area to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.
b) One CSA to ensure coordination between the different existing activities in HPC/BD/Cloud technologies, including Public-Private Partnerships, digital innovation hubs, and relevant national and regional initiatives, in particular the European Network of National Big Data Centres of Excellence.
The Commission considers that proposals requesting a contribution from the EU of EUR 1 million would allow this area to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.
All grants under this topic will be subject to Article 30.3 of the grant agreement (Commission right to object to transfers or licensing).Expected Impact:
- Increased productivity and quality of system design and software development thanks to better architectures and tools for complex federated/distributed systems handling extremely large volumes and streams of data;
- Demonstrated, significant increase of speed of data throughput and access, as measured against relevant, industry-validated benchmarks;
- Demonstrated adoption of results of the extreme-scale analysis and prediction in decision-making (in industry and/or society)
- Effective cooperation of the participating initiatives and platforms as measured by the jointly participating members/users, countries/regions/cities and projects, and the organisation of common events and joint initiatives, resulting in an increased prevalence of data value chains and related technologies (HPC/BD/Cloud/IoT) in the national and regional strategies.
It is expected that this topic will continue in 2020.Cross-cutting Priorities:
Topic conditions and documents
A small piece of text, which is also relevant for this topic, can be found in the 'Call Summary' under the subheading 'European Data Infrastructure: HPC, Big Data and Cloud technologies'.
1. Eligible countries: described in Annex A of the Work Programme.
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. See the information in the Online Manual.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
- Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
- Submission and evaluation processes are described in the Online Manual.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Coordination and Support Action:
6. Additional provisions:
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
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.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
8. Additional documents:
1. Introduction WP 2018-20
5. Introduction to Leadership in enabling and industrial technologies (LEITs) WP 2018-20
5i. Information and communication technologies (ICT) WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
To access the Electronic Submission Service of the topic, please select the type of action that is most relevant to your proposal from the list below and click on the 'Start Submission' button. You will then be asked to confirm your choice of the type of action and topic, as these cannot be changed in the submission system. Upon confirmation you will be linked to the correct entry point.
To access existing draft proposals for this topic, please login to the Participant Portal and select the My Proposals page of the My Area section.
|Type of Action||Coordination & support action [CSA]|
|Topic||Big Data technologies and extreme-scale analytics - ICT-12-2018-2020|
|Type of Action||Research and Innovation action [RIA]|
|Topic||Big Data technologies and extreme-scale analytics - ICT-12-2018-2020|
|Guidance on proposal submission:||H2020 online manual|
H2020 Online Manual is your guide on the procedures from proposal submission to managing your grant.
Participant Portal FAQ – Submission of proposals.
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