{
    "folio": {
        "code": "mus/jarc",
        "label": "Jelenarch\u00edvum",
        "dataset_key": "mus/jarc",
        "row_count": 717
    },
    "cores": [
        {
            "code": "obj",
            "label": null,
            "row_count": 717
        }
    ],
    "dtoTables": [
        {
            "id": "mus/jarc:dto_photograph",
            "name": "dto_photograph",
            "kind": "dto",
            "core_code": "obj",
            "dto_type": "photograph",
            "label": "Photograph",
            "description": null,
            "row_count": 717
        }
    ],
    "views": [
        "dto_photograph"
    ],
    "generatedAt": "2026-07-10T13:30:18+00:00",
    "metadata": {
        "archivePreparedAt": "2026-07-10T13:30:18+00:00",
        "schema": {
            "tables": 2,
            "properties": 10
        },
        "views": {
            "views": 1
        }
    }
}

# Folio mus/jarc

Jelenarchívum

- Dataset key: `mus/jarc`
- Rows: 717
- Cores: 1
- Observed DTO tables: 1

## Cores

| Core | Label | Rows |
| --- | --- | ---: |
| `obj` | obj | 717 |

# Observed Schema

## `dto_photograph`

- Core: `obj`
- DTO type: `photograph`
- Rows: 717

| Field | Type | Flags | Description |
| --- | --- | --- | --- |
| `id` | `?string` |  |  |
| `contentType` | `?string` |  |  |
| `aggregator` | `?string` |  |  |
| `stage` | `?string` | filterable, facet | Pipeline processing stage (raw / normalized / enriched). A facet so you can filter to enriched items; later this can be made dev-only. |
| `title` | `?string` |  | dcterms:title |
| `description` | `?string` |  | dcterms:description — short curatorial text from the source institution |
| `year` | `?int` | filterable, facet, sortable | Coverage/production year. |
| `citation` | `?string` |  | ItemField::CITATION — canonical URL or attribution string for the record |
| `pageCount` | `?int` | sortable | Number of pages in the document. |
| `source` | `string` |  | Source of this data: import \| ai \| ocr \| human |

# Query Guide

This folio stores canonical rows in `item` and observed field metadata in `schema_table` / `schema_property`.

```sql
select * from schema_table where kind = 'dto';
select * from schema_property where table_id = ? order by position;
select local_id, label, dto_type, dto_data, extras from item limit 20;
```

Convenience views are generated from observed DTO fields:

```sql
select * from dto_photograph limit 20;
```