Healthcare Dataset Sourcing & Preparation Guides
Understand the practical considerations involved in sourcing healthcare datasets for AI development, evaluation and research.
A dataset is more than a collection of files
Useful healthcare AI data requires attention to provenance, permissions, metadata, formats, cohort characteristics and quality.
Dataset Specification
Define modality, cohort, geography, format, metadata and volume requirements.
Provenance
Understand where data originated and what supporting documentation is available.
Rights & Permissions
Consider licensing, consent, authorization and intended-use requirements.
Sample Review
Inspect representative data before scaling a sourcing engagement.
Metadata
Capture information needed to interpret and organize the dataset.
Preparation
Standardize files, manifests and supporting documentation for downstream work.
Build your healthcare AI data workflow with SCILabel
Talk to our team about your healthcare data, annotation or AI evaluation requirements.