Esther Huyer & Raymonde Weyzen
summary
Support Centre for Data Sharing documents concrete wins and tools: an API friendliness checker, modular model contracts and a certification scheme under the Data Governance Act. Case studies show Taos running a Taos marketplace that sells a Yoruba translation dataset, AllegroAI shipping a surgical‑vision workflow that surgeons actually use, and LifeBit enabling on‑site biomedical analysis to avoid data movement. Guidance stresses federated data spaces support center blueprints, governance recipes and technical enablers that enforce use‑rules so sharing happens without leaking control.
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chapters (12)
- 0:00Data ecosystems and AI
- 2:43Data sharing for Big Data and AI
- 9:02Barriers to data sharing
- 13:12Policy and legislation in data sharing
- 17:28Trust and control in data sharing
- 22:49What are data spaces and why they matter
- 27:41Governance challenges in data spaces
- 30:51Participants in data spaces
- 34:02Costs of not joining data spaces
- 38:43Rebuilding trust in data sharing
- 43:42Collect all data for future use
- 46:12Closing remarks and Q&A
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