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