# Metadata

[Link to code](https://github.com/AllenNeuralDynamics/aind-data-schema/blob/dev/src/aind_data_schema/core/metadata.py)

The `metadata.json` gathers together the other metadata files and adds information about where the data asset is stored.

## Core file

### Metadata

The records in the Data Asset Collection needs to contain certain fields
to easily query and index the data.

| Field | Type | Description |
|-------|------|-------------|
| `name` | `str` | Name of the data asset. |
| `location` | `str` | Current location of the data asset. |
| `other_identifiers` | Optional[Dict[[Database](components/identifiers.md#database), List[str]]] | Links to the data asset on secondary platforms. |
| `subject` | Optional[[Subject](subject.md#subject)] | Subject of data collection. |
| `data_description` | Optional[[DataDescription](data_description.md#datadescription)] | A logical collection of data files. |
| `procedures` | Optional[[Procedures](procedures.md#procedures)] | All procedures performed on a subject. |
| `instrument` | Optional[[Instrument](instrument.md#instrument)] | Devices used to acquire data. |
| `processing` | Optional[[Processing](processing.md#processing)] | All processes run on data. |
| `acquisition` | Optional[[Acquisition](acquisition.md#acquisition)] | Data acquisition |
| `quality_control` | Optional[[QualityControl](quality_control.md#qualitycontrol)] | Description of quality metrics for a data asset |
| `model` | Optional[[Model](model.md#model)] | Description of a machine learning model trained on data. |