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Labs for prototyping future Mobility Data sharing cloud solutions

Project description

Making it easy for mobility stakeholders to share data

There has been an explosion of mobility services and data sharing in recent years. The EU-funded MobiDataLab project will work to foster the sharing of data amongst transport authorities, operators and other mobility stakeholders in Europe. It will develop knowledge as well as a cloud solution aimed at easing the sharing of data. Specifically, the project is based on a continuous co-development of knowledge and technical solutions. It will collect and analyse the advice and recommendations of experts and supporting cities, regions, clusters and associations. These actions will be assisted by the incremental construction of a cross-thematic knowledge base and a cloud-based service platform, which will improve access and usage of data sharing resources.

Objective

The overall objective of MobiDataLab is to propose to the mobility stakeholders (transport organising authorities, operators, industry, innovators) a replicable methodology and sustainable tools that foster the development of a data sharing culture in Europe and beyond.
MobiDataLab is based on a continuous co-development of knowledge and of technical solutions for data sharing with high involvement of all data producers and consumers in the transport and mobility landscape. This will be put in action through problem-solving oriented Labs, the collection and analysis of advice and recommendations of experts and supporting cities/regions/clusters/associations aided by the incremental construction of a cross-thematic knowledge base and of a cloud-based service platform, which will federate access and usage of data sharing resources. MobiDataLab leverages on the legal, technological and economic opportunities to:
- present mobility data providers with recommendations on how to improve the quality, accessibility and usability of their data - how to describe them, how to store them safely and securely, how to make them available, easy to find, and understandable;
- encourage the reuse of these data and foster users’ trust in the data, contributing to the development and promotion of open tools to the community of innovators;
- bring together mobility stakeholders (both data providers and data consumers) to find innovative solutions to concrete problems, using open data as a tool.
The MobiDataLab consortium is formed by 10 partners from Industry, Research, Academia, Consultancy and Governance sectors, located in 7 countries. The consortium shares a common view on the values and benefits of open data and open source principles for fostering independence and uptake by communities. The MobiDataLab yet young-and-emerging group of supporting parties allows to consider replicability of approach and results in many more countries, including beyond EU.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-MG-2018-2019-2020

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Coordinator

AKKODIS I&S SAS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 513 250,00
Address
3 AVENUE DU CENTRE - IMMEUBLE ALBERO
78280 GUYANCOURT
France

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Region
Ile-de-France Ile-de-France Yvelines
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 631 500,00

Participants (13)

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