Envision Portal Documentation
Share, discover, and reuse FAIR and AI-ready eye imaging datasets with standardized metadata, flexible access controls, and programmatic integration paths.
Platform Capabilities
FAIR and AI-Ready Data Sharing
Prepare and publish datasets with guided workflows, versioning, and support for eye imaging and related clinical data.
Standards-Based Metadata
Document datasets using CDS-aligned structure, DICOM imaging guidance, OMOP-ready clinical tables, and Healthsheet quality context.
Responsible Access Control
Apply public and controlled access workflows with request review, data use agreements, and policy-driven governance.
Discovery and Registry
Discover hosted datasets and indexed external datasets by modality, disease focus, device, access type, and metadata quality.
Cloud-Native Storage
Store draft and published data in Azure Data Lake-backed storage designed for scalable upload, access, and lifecycle workflows.
API and AI Integration
Connect through REST APIs for automated ingestion, discovery, and reuse in analytics and AI/ML pipelines.
Supported Modalities
Envision Portal prioritizes ophthalmic imaging modalities commonly used in clinical and translational research, including OCT, OCTA, fundus photography, and FLIO, alongside related clinical metadata.