HORIZON EUROPE
Europeo
Specific Challenge:A massive amount of data is already produced by the transport system and the trend is set to continue at an increasing pace. Optimal use of the available data is indispensable in order to advance towards an intelligent transport system that is efficient, reduces congestion, environmental impact and increases safety.
On the basic level, the challenge lies in ensuring that e.g. manufacturers, operators, or authorities can properly take advantage of the data produced for the improvement of their operations and services. Access to, reuse and storage of data is not only important for private companies active in the transport industry (business-to-business or B2B), but also for the public sector (business-to-government or B2G) for a more evidence-based decision making and a better public service delivery, such as transport safety or reduction of pollution from all transport modes or increased efficiency.
It is of key importance to develop a clear understanding of the areas where data exchange and digitalisation are required for improved system effectiveness. In these areas, data to be used in transport models need to be defined and harmonised....
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Specific Challenge:A massive amount of data is already produced by the transport system and the trend is set to continue at an increasing pace. Optimal use of the available data is indispensable in order to advance towards an intelligent transport system that is efficient, reduces congestion, environmental impact and increases safety.
On the basic level, the challenge lies in ensuring that e.g. manufacturers, operators, or authorities can properly take advantage of the data produced for the improvement of their operations and services. Access to, reuse and storage of data is not only important for private companies active in the transport industry (business-to-business or B2B), but also for the public sector (business-to-government or B2G) for a more evidence-based decision making and a better public service delivery, such as transport safety or reduction of pollution from all transport modes or increased efficiency.
It is of key importance to develop a clear understanding of the areas where data exchange and digitalisation are required for improved system effectiveness. In these areas, data to be used in transport models need to be defined and harmonised.
On a more advanced level, in order to provide connectivity across the various components of the multimodal transport system, enable innovation and emergence of new business models, we need solutions for safe and secure collection, storage and sharing of transport data (both operational and research) across various actors and different transport modes.
Cloud based solutions could provide a high level of integration and accessibility of transportation data across the system and be used for variety of purposes, including research, development and innovation. However a number of challenges will have to be tackled before a successful wide scale implementation of cloud solutions for transport can take place, such as data privacy and security, standardisation and competitiveness issues, data interoperability and accessibility, governance, etc.
Scope:The proposals should cover all following aspects:
Provide a comparative analysis of the transportation data regulation across all transport modes in the EU;Identify transport flows for which digitalised processes and transport data exchange will make most impact; Identify functional requirements and possible frameworks for data sharing across the transport system and with the public sector where appropriate – in particular through a federation of various cloud solutions (a Transport Cloud), taking into account the FAIR data principles as well as the private data sharing principles[1], including B2G and B2B data sharing;Building on existing standards / specifications that have been adopted by the EU or nationally e.g. DCAT-AP, propose standards for transport data sharing (including formatting, metadata descriptions, etc.) that would strike an appropriate balance between sharing data and proprietary rights. Proposals should clearly define the field of data, for which a standard shall be considered;Analyse the relationships between private and public stakeholders (on local, regional, national, EU and global level) and their differing approaches to data sharing principles; Examine the role of data sharing culture in the future development of any data sharing cloud based solutions, analyse methods that foster trust in transport data networks; Consider commercial and competitive risks of data sharing on an international scale as well as the potential for the EU to set global standards for data sharing;
Identify main privacy and security issues associated to data sharing, including preventing data misuse; Identify appropriate governance structures and/or processes for the establishment of a possible Transport Cloud building as much as possible on the existing frameworks and initiatives. Proposals should identify and build on the most relevant previously funded EU and national projects and reports such as Transforming Transport[2], BigDataEurope[3], NOESIS[4], LeMO[5], OPTIMUM[6], SELIS[7], AEOLIX[8], oneTRANSPORT[9], EfficienSea 2[10] etc. A structured method of building up on the achievements of the selected projects should be proposed. Proposals should include an effective mix of private and public actors both from the transport and transport research domains.
The Commission considers that proposals requesting a contribution from the EU of between EUR 2 and 3 million would allow the specific challenge to be addressed appropriately.
Expected Impact:The research will consolidate knowledge from the most important projects and initiatives implemented to date in the domain of transport data sharing. It will further build on that knowledge base by identifying new variables, requirements and standards necessary for a successful setting up data usage and sharing mechanisms in the transport sector (both passenger and freight).
Improved data sharing will help extract maximum value from the available transport big data, contribute to wider data sharing amongst the transport stakeholders, and lead to improved products and services. It will secure better understanding and opportunities for transport flow prediction and optimisation, which in turn will improve transport system effectiveness.
The outcomes of research will also lead to strengthening of the digital transport ecosystem by fostering the culture of trust and collaboration among the various stakeholders.
Cross-cutting Priorities:Socio-economic science and humanities
[1]https://ec.europa.eu/digital-single-market/en/news/staff-working-document-guidance-sharing-private-sector-data-european-data-economy
[2]https://transformingtransport.eu
[3]https://www.big-data-europe.eu
[4]https://noesis-project.eu
[5]https://lemo-h2020.eu
[6]http://www.optimumproject.eu/
[7]https://www.selisproject.eu
[8]http://aeolix.eu
[9]https://onetransport.io
[10]https://efficiensea2.org
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Características del consorcio
:
La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Características del Proyecto
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
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
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
Características de la financiación
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.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
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:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified... 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.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
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:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply
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
11. Smart, green and integrated transport WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
General annexes to the Work Programme 2018-2020
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
Información adicional de la convocatoria
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