Online Training
Data Spaces for Mobility

28 November – 12 December 2022

The European Commission has created the European Strategy for Data aiming at creating a single market for data to ensure Europe’s global competitiveness and data sovereignty. Common European data spaces will ensure that more data becomes available for use in the economy and society (flowing within EU and across the sectors) to foster innovation activities and, at the same time, keeping companies and individuals who generate the data in control (compliance with the GDPR).

According to Gaia-X, the European entity that gather different stakeholders with the objective to create a federated and secure data infrastructure ecosystem in Europe, the term “Data Space” refers to a type of data relationship between trusted partners, each of whom apply the same high standards and rules to the storage and sharing of their data.
To this regard, the EC is working on 9 initial Common European Data Spaces, including a mobility data space, aiming to position Europe at the forefront of the development of an intelligent transport system.
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Price of the course: 300€+VAT
Participants in the course will receive a certificate of attendance on completion.

To this regard, the EC is working on 9 initial Common European Data Spaces, including a mobility data space, aiming to position Europe at the forefront of the development of an intelligent transport system.

The transition to the Digital Economy requires investment to upgrade technology, but also to increase knowledge to support informed, strategic decision making. This course will upskill the participants to take full advantage of the opportunities offered by data-based business models underpinned by the novel concept of Data Spaces, providing basic data literacy and understanding of the technical, legal, and legislative context at European level.

Start: 28 November

Instructional materials +
3 online sessions



This will be an online course that will combine theoretical knowledge and literature made ad-hoc for this course, with a series of sessions with top speakers in this field:

1. Introductory sessions to the course, which will be offered through our Factual Academy with updated instructional materials, including documents and theoretical reports on Data Spaces.

2. Live online sessions, with the participation of industry experts.


The main learning objectives of this training are the following: 

  • Acquire knowledge on the main concepts related to Data Spaces
  • Get an overview of the EC initiatives framing the proposal for creating Data Spaces
  • Understand the relevance of transparent and secure data sharing environments in different mobility areas
  • Identify the most relevant existing mobility data projects in the mobility sector
  • Understand the potential and opportunities for leveraging Data Spaces in intelligent transport systems and urban mobility
  • Identify and evaluate use cases and scenarios to unlock the potential of Data Spaces in the field of mobility
  • Define a potential roadmap for the implementation of Mobility Data Spaces
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This training targets a broad range of mobility professionals, identifying the following profiles:

  • Professional mobility experts (public bodies, private operators, etc.) with a strong background in the mobility planning, operations, data and management . 

Note: Participants will be required to have a previous education on the technical area (i.e., transport engineers) or in the business field (or similar). Previous education on digital technologies will not be required.


The course will be structured in 2  different modules, combining asyncronous and live sessions

Some of our speakers

Tu-Tho Thai

Director, Partnerships & Events at MobilityData IO

Ferdinand Burgersdijk

Founder of FairsFair

Rizkallah Touma, Ph.D

Big Data Research Lead at i2CAT Foundation

Josep Laborda

CEO & Managing Partner at FACTUAL


At the end of the course, each participant will receive a certificate signed by the course organizers that can be printed or added to the LinkedIn profile.
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