Imagine your company's data is like a giant pile of mixed LEGO bricks from different sets that don't fit together. This project creates a set of 'smart connectors' and a guidebook to help you sort, clean, and link those bricks so they actually work together. It makes it easy for different organizations to swap information securely without spending forever on manual cleanup.
Companies struggle to share and reuse data because it is often poor quality, incompatible between systems, and difficult to manage under strict privacy laws.
A toolbox of scalable technical 'bricks' and the JenPlane iterative governance process for managing the data lifecycle.
If you are a grid operator dealing with fragmented energy consumption data from various sources — this project developed a toolbox of scalable bricks that improves data interoperability. This allows you to integrate diverse datasets more efficiently while maintaining energy efficiency in your processing.
If you are a city government dealing with strict privacy laws and messy public records — this project developed a governance process and tools that ensure data integrity and privacy. This helps you share information across public sectors while staying compliant with European regulations.
If you are an AI developer dealing with low-quality training data that slows down model accuracy — this project developed a set of tools to improve data quality and discoverability. This makes your datasets ready for expanded digital value creation and trustworthy AI development.
Based on available project data, specific pricing or cost structures are not provided, although the toolbox includes both open source and commercial tools.
Yes, the project specifically developed 'robust and scalable bricks' designed to be deployed into European Data Spaces to support business and public needs.
The project provides a mix of open source and commercial tools, with the JenPlane approach incorporating license information into its knowledge graph.
The tools are built to comply with accountability, fairness, privacy, and confidentiality regulations, as well as FAIR principles.
The architecture includes communication protocols and a design that enables seamless integration with external data spaces for efficient exchange.
The consortium is heavily weighted toward commercial application, with a 67% industry ratio comprising 10 companies (including 6 SMEs). This strong business presence, combined with 4 research entities across 7 countries, suggests the resulting tools are designed for market viability rather than just academic theory.
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