Context and motivation

Data is commonly addressed as a company asset, and it is proven that knowledge sharing, done under proper data sovereignty compliant methodologies, can improve business and reduce wastes along the supply/value chain. As a collaboration to combine new technologies to manufacturing, this project aims at creating a real reusable, sustainable industrial data space ecosystem based on industrial platforms that are supporting the European industries to faster exchange AI results, (such as spare parts production and forecast and predictive maintenance data, or data-driven new business opportunities throughout the value-chain) along with the whole industrial and supply/value chain stakeholders, leveraging on a secure and trustworthy sharing of manufacturing data. In other words, the aim is to design, develop, setup, and deploy a platform able to support and foster data exchange between trusted parties based on self-defined data usage policies by considering data sovereignty principles.

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