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.

Inside today's vehicles ~4000 CAN-Bus signals/sec are processed in comparison to very few signals in smart phones and alike. This large amount of continuously gathered vehicle data represents major big data business potentials, not only for the automotive industry but in particular for cross-sectorial industries with interdisciplinary applications. With today's proprietary approaches focusing on bringing services into vehicles and the applied ignorance of customer privacy concerns, this major business potential is still locked because the automotive industry was not yet able to establish an open service ecosystem equivalent to the ones in the smart phone industry. The core intention of the AutoMat project is to innovate an open ecosystem for Vehicle Big Data, materializing in the form of a cross-border Vehicle Big Data Marketplace that leverages currently unused information gathered from connected vehicles. The interface to the marketplace is derived from a Common Vehicle Information Model that makes mined and anonymous vehicle data from various OEMs accessible to cross-sectorial service providers. With the huge amount of volatile data from vehicles, the AutoMat ecosystem heavily builds upon current trends in Big Data. Exemplary service scenarios, driven by service providers dedicated to generate concrete businesses from the AutoMat ecosystem, are developed in the context of meteorological data based hyper local and extended innovative enterprise service domains. By defining an open value chain, the proposed AutoMat ecosystem enables and stimulates parties from different sectors to focus on their core businesses and to excel collaboration with other partners. AutoMat therefore may serve as incubator for new business opportunities strengthening Europe's position as provider of innovative cross-sectorial and cross-border Big Data services. The latter aspect is actively stimulated during the project by an Open Service Contest based upon the AutoMat Big Data ecosystem.

The IT²RAIL -“Information Technologies for Shift to rail” proposal, first step towards the long term IP4 -“IT for an Attractive Railway” SHIFT²RAIL Innovation Programme, aims at providing a new seamless travel experience, giving access to a complete multimodal travel offer which connects the first and last mile to long distance journeys. This is achieved through the introduction of a ground breaking Technical Enabler based on two concepts: • the traveler is placed at the heart of innovative solutions, accessing all multimodal travel services (shopping, ticketing, and tracking) through its travel-companion. • An open published framework is providing full interoperability whilst limiting impacts on existing systems, without prerequisites for centralized standardization. This Technical Enabler will be completely settled in the context of the SHIFT²RAIL IP4, and IT²RAIL is proposing a reduced approach to the scale of a specified use case without weakening any of the key concepts of IP4, such as the usage of Semantic Web technologies, meta planning on distributed data, travel companion with a protected and secured personal wallet stored in the cloud and including the rights to travel. The use case will be defined as a specific instantiation of our open concepts, and will benefit from a completely scalable architecture fully instantiated in IP4. This approach is addressing all the key challenges of the work program, supporting a complete door-to- door intermodal travel offer and proposing a seamless integration of the very diverse existing and future services for planning, one-stop-shop ticketing, and real-time re-accommodation. Moreover, thanks to an Interoperability framework which insulates travel applications from the standards fragmentation in multimodal transport, IT²RAIL liberates business-model innovations in the market-place, guaranteeing the economic self-sustainability of these e-services in the long-term.