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Considerations and Challenges for FAIR in Large and Heteregeneous Sets of Personalized Large-Scale Models

Difficulty level

This lecture discusses how FAIR practices affect personalized data models, including workflows, challenges, and how to improve these practices.

Topics covered in this lesson
  • Data-driven personalized models: Workflow for big data
  • Challenges to FAIR in personalized models
  • FAIR practices throughout the workflow
  • Improving FAIR practices & scaling up to the cloud
  • Remaining challenges to FAIR in personalized models