How to prepare an AI-ready dataset using gold standard data management principles, including:
- Making datasets findable, accessible, interoperable, and reusable (FAIR)
- Using transparent data documentation to foster data re-use
- Ensuring that selected data addresses expected outcomes and drives meaningful AI insights
- Handling missing data through strategies, proxies, and synthetic data