Innovating Works
ICT-18-2016
ICT-18-2016: Big data PPP: privacy-preserving big data technologies
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.
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.
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Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio.
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Esta ayuda financia Proyectos: Objetivo del proyecto:

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.


Scope: 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... ver más

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.


Scope: 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. 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 humanitiesContractual Public-Private Partnerships (cPPPs)BigDataGender


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Temáticas Obligatorias del proyecto: Temática principal: Real time data analytics Theoretical computer science formal methods Data visualization Data curation Very large data bases Data stream analysis Web and information systems database systems inf Linked open data Scalability Geo-information and spatial data analysis

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: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. 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.
¿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
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 5:. Los elementos básicos de la innovación son integrados de manera que la configuración final es similar a su aplicación final, es decir que está listo para ser usado en la simulación de un entorno real. Se mejoran los modelos tanto técnicos como económicos del diseño inicial, se ha identificado adicionalmente aspectos de seguridad, limitaciones ambiéntales y/o regulatorios entre otros. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
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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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