Public Services > Central Government

EU to award grants to analyse and exploit complex public datasets

Matteo Natalucci Published 02 October 2017

Up to €6m EU grants available to help public administrations and supplier partners address the scalable exploitation of massive amounts of public and open data

 

The EU has issued a grant under the Connecting Europe Facility (CEF) programme to support public administrations and their partners to use high-performance computing (HPC) to analyse and exploit large and complex public datasets.

The overall goal will be to demonstrate how the added value of this combination can result in better services for citizens and public administrations

The CEF programme is managed by the Innovation and Networks Executive Agency (INEA) and it supports trans-European networks and infrastructures in the sectors of transport, telecommunications and energy. The programme aims to support the development of digital service infrastructures (DSIs) and broadband networks. Part of the funding under the CEF is expected to be made in the form of grants allocated following competitive calls for proposals.

INEA assists the commission in processing, evaluating and selecting the projects. It also helps to communicate calls for proposals, manages the funds once these are allocated to specific projects, and monitors implementation of projects.

The priority outcome of this call for proposals is to exploit public data and supercomputers as a first step to establish a new generation of Digital Service Infrastructures (DSIs) supporting Digital Single Market priorities on supercomputers.

Proposed actions should aim to address the issue of scalable exploitation of the massive amount of public and open data available and accessible from different sources, including (but not exclusively) through the European Data Portal. This will be achieved by associating datasets from, for example,  public organisations, sectors and countries with access to or involvement with supercomputers. This might include local authorities who have relationships with academic research through higher education.

The aim is a future new generation of public services exploiting supercomputing facilities and public data to analyse complex combinations of large public datasets in areas of public interest e.g. natural resources (e.g. on soil, forest, water, fish stocks), public infrastructures (e.g. congestion levels), atmospheric data, pollution data, agriculture data (e.g. in relation to pesticide or fertilisers) etc, with the overall goal of a better use of public data for citizens, supporting more optimal use of resources for economic actors and helping fact-based decision making for public authorities.

The outcome of the proposed actions should be services that demonstrate the need and the value of combining public data and supercomputing resources for existing public services  and/or future services. Where relevant, such services should make use of the INSPIRE interoperability framework.

Applicants should demonstrate the availability and the access to supercomputing resources (including an estimation of the required level of such resources), either in-house through applicants, or arrangements with supercomputing facilities which could be contracted as necessary.

There are no minimum consortium requirements for this call and the deadline for submissions is  November 28.








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