Description
DANDI (Distributed Archives for Neurophysiology Data Integration) is the NIH BRAIN Initiative archive for publishing and sharing neurophysiology data. It provides a FAIR (Findable, Accessible, Interoperable, Reusable) data archive with rich metadata and consistent data standards.
Features
Archive Capabilities
- Submit neurophysiology data for:
- Electrophysiology
- Optophysiology
- Behavioral time-series
- Images from immunostaining experiments
- Persistent, versioned dataset collection
- Cross-site research collaboration
- Supported by BRAIN Initiative and AWS Public dataset programs
Key Benefits
- FAIR data principles implementation
- Rich metadata supporting cross-data search
- Consistent and transparent data standards
- Programmatic data access
- Built on open source software stack
Data Standards Support
- Neurodata Without Borders
- Brain Imaging Data Structure
- Neuroimaging Data Model (NIDM)
- Other BRAIN Initiative standards