The Data Union Strategy aims to unlock data for AI across Europe.
Current challenges
Data Scarcity
Regulatory complexity
Global Competition
Priority areas
Scaling up access to data
Streamlining data rules
Strengthening the EU’s global position
Scaling up access to data
Flagship initiatives such as data labs, the Cloud and AI Development Act, scaling up the Common European Data Spaces and strategic data assets to help address bottlenecks.
Horizontal enablers to provide legal clarity for data pooling, standards for data quality, investment in synthetic data production capacity.
Data Labs
Data labs will be hands-on hubs that give companies and researchers access to diverse datasets for AI and provide data-related services. They will provide services across 6 key areas:
Technical infrastructure and tools
Data pooling
Data curation and labelling
Regulatory guidance and training
Bridging the gap between data spaces and AI ecosystems
Data access facilitation
Streamlining data rules
Simplifying and future-proofing
by strengthening coherence between our data rules and to ensure the broader data framework remains innovation-friendly.
One click compliance
by turning regulatory requirements into machine-verifiable tokens stored and shared through the European business wallet
Helping businesses comply with the Data Act
By providing further guidance will be provided, including a Data Act legal helpdesk.
Strengthening the EU’s global position
Fair cross-border data flows for sensitive data
Linking EU data-sharing ecosystems with like-minded third countries
Boosting the EU’s voice in data governance
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