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ICT-17-2016-2017
ICT-17-2016-2017: Big data PPP: Support, industrial skills, benchmarking and evaluation
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.
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 12-04-2016.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
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Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos: Objetivo del proyecto:

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.


Scope: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 th... ver más

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.


Scope: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:GenderContractual Public-Private Partnerships (cPPPs)BigData


[1]Such as the European Data Science Academy (http://edsa-project.eu/), EIT ICT Labs KIC and Marie Sklodowska-Curie Actions (MSCA)

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Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: 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. 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.
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Purchase costs.
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
Subcontracting costs.
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Amortizaciones.
Activos.
Otros Gastos.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 5:. Los componentes se integran de forma que la configuración del sistema coincida con la aplicación final en casi todos los aspectos. Se prueba el rendimiento en un entorno operativo simulado. La diferencia principal con el TRL 4 es el aumento a una fidelidad media y la aplicación al entorno real. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
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Please read carefully all provisions below before the preparation of your application.
 
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).
 
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.
 
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
      
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.
 
Provisions, proposal templates and evaluation forms for the type(s) of action(s) under this topic:...
Please read carefully all provisions below before the preparation of your application.
 
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).
 
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.
 
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
      
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.
 
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
 
Additional provisions:
Horizon 2020 budget flexibility
Classified information
 
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.
 
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
 
 
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda tiene efecto incentivador, por lo que el proyecto no puede haberse iniciado antes de la presentación de la solicitud de ayuda. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
No conocemos el presupuesto total de la línea
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

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