Technologies and solutions for data trading, monetizing, exchange and interoperability (AI, Data and Robotics Partnership) (IA) -

Expected Outcome

Proposal results are expected to contribute to the following expected outcomes:

• improve the digital technologies, solutions and interoperable frameworks for data markets and data economy (e.g. industrial, administrative and societal/cultural data platforms/data spaces), allowing for data assets to be discoverable, efficiently and fairly priced and shared/traded in a secured, user-friendly, compliant and energy-efficient way; promote the development of a European industrial ecosystem of the data economy capable of ensuring digital autonomy; develop training material to endow workers in this occupational group with the right skillset in order to deploy the new technologies

Scope

The focus is on technologies, solutions and frameworks that facilitate the collection, sharing, storing, processing, trading and re-using of data in compliance with the legal framework and satisfying the needs, expectations and rights of the data providers, brokers, users and data subjects. Practical and scalable solutions for handling large amounts of transactions while minimizing energy consumption are necessary (e.g. smart/automated contracting, data rights management, tracking of subsequent data use). Special attention should be paid to fostering approaches that ensure data and metadata interoperability, including the application of appropriate standards, reference architectures, common ontologies/vocabularies/data models allowing smooth data sharing (also across sectors). The emphasis is on the development and demonstration of practical and mature end-to-end systems, building on the results of work on data platforms (topic H2020-ICT-13-2018-2019), privacy-preserving technologies and computing technologies under Horizon 2020 and this programme.

Actions are expected to develop and/or support data spaces of realistic scope and size, deployable in real-world applications in various application areas. In particular, the actions are expected to support the deployment of the Common European Data Spaces under the Digital Europe programme (notably via the Data Spaces Support Centre, to be set up under the Digital Europe programme): the technologies and tools are developed under Horizon Europe actions and the deployment and operations are supported under Digital Europe actions. The actions are expected to build on and create links with other European data sharing schemes (e.g. EOSC, META-SHARE, ELRC-SHARE, European Data Portal), and potential/emerging data user/innovator communities (e.g. AI4EU, digital innovation hubs, data-centric H2020 European Research Infrastructures), as appropriate. The actions should contribute to European technological autonomy in data sharing.

In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.

This topic implements the co-programmed European Partnership on Artificial Intelligence, Data and Robotics.

Activities are expected to start at TRL 4 and achieve TRL 7 by the end of the project – see General Annex B.

Artificial IntelligenceCo-programmed European PartnershipsDigital Agenda

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