European Data Spaces
Platforms & Marketplaces
The emergent European Data Economy relies on the availability of data as a basis for further innovation and exponential development of technologies, especially the development of trustworthy “made in Europe” Artificial Intelligence (AI) that reflects European values. Data Spaces, platforms and marketplaces are enablers, a key to unleashing the potential of such data. However, trustworthy data sharing and data interoperability are still in their infancy.
Rethink data life cycle practices around data-sharing and propose a management model.
Advance the maturity of data tools and services within the context of the data-sharing ecosystems.
Address issues, such as data ownership, data provenance veracity & verification, decentralised data sharing, confidentiality & digital rights management, as well as processing energy efficiency.
To provide tools to support a holistic approach of the data lifecycle in compliance with FAIR principles.
To build on results of relevant past and current initiatives, data management tools, systems and processes that enable, support and/or automate the creation and maintenance of common ontologies, vocabularies and data models, as well as automated authoring, co-creation, curation, annotation and labelling of data, in view of different later uses made of the data.
To create links with relevant initiatives collecting/using heterogeneous/linguistic data, including AI initiatives (e.g., AI4EU, ELG, or the projects from the H2020 topic ICT-48), and liaise with standardization bodies.
To provide tools that contribute to the minimization of the energy footprint, be adaptable to different user needs and support and encourage new business models. To demonstrate the usability and the value of the tools in diverse use cases.
To maximise the project’s impact and accelerate the adoption and take up of the project in Europe and beyond through wide dissemination, communication, exploitation, commercialization, capacity building and standardisation actions.