Metadata

Metadata is descriptive information about recorded neural data — including the subject, recording date, sampling rate, filter settings, hardware configuration, and processing history.

Why it matters: Without complete metadata, neural recordings lose scientific value. Metadata enables reproducibility, proper analysis configuration, data sharing, and long-term archival. It is a cornerstone of FAIR (Findable, Accessible, Interoperable, Reusable) data principles.

Key metadata fields: Subject ID, species, brain region, recording date, sampling rate, headstage type, filter settings, probe configuration, software version, and experimenter.

Software: Radiens Allego captures hardware metadata automatically during acquisition. Radiens Curate tracks processing provenance — the exact sequence of transforms applied to the data.