Install Folio
bin/console folio:pull --dataset smith/hac
Link Types
| Forward | Reverse | Links |
|---|---|---|
|
coll
contains
obj
contains
|
obj
belongs_to
coll
belongs_to
|
494 |
|
per
created
obj
created
|
obj
created_by
per
created_by
|
12 |
Observed Schema
| Name | Core | Type | Rows |
|---|---|---|---|
| dto_coll_collection | coll | collection | 3 |
| dto_object | obj | object | 430 |
| dto_per_org | per | org | 9 |
Archive Docs
Folio Metadata
json
{
"folio": {
"code": "smith/hac",
"label": "HAC",
"dataset_key": "smith/hac",
"row_count": 442
},
"cores": [
{
"code": "coll",
"label": null,
"row_count": 3
},
{
"code": "obj",
"label": null,
"row_count": 430
},
{
"code": "per",
"label": null,
"row_count": 9
}
],
"dtoTables": [
{
"id": "smith/hac:dto_coll_collection",
"name": "dto_coll_collection",
"kind": "dto",
"core_code": "coll",
"dto_type": "collection",
"label": "Collection",
"description": "A collection / series \u2014 an aggregation of items rather than a single object.\nTwo producers: the \"folio of folios\" (each row is a whole folio) and aggregators like the\nSmithsonian that expose collections and series alongside objects. Unlike a generic item, a\ncollection is browsed by its dataset-level descriptors \u2014 provider, country, language, size \u2014\nso those are promoted to facets here. `subjects` (a parent facet) carries the dtoType mix.\n/",
"row_count": 3
},
{
"id": "smith/hac:dto_object",
"name": "dto_object",
"kind": "dto",
"core_code": "obj",
"dto_type": "object",
"label": "Artifact",
"description": "Three-dimensional physical objects and artifacts that do not fit a more specific type: tools, vessels, garments, specimens, etc.",
"row_count": 430
},
{
"id": "smith/hac:dto_per_org",
"name": "dto_per_org",
"kind": "dto",
"core_code": "per",
"dto_type": "org",
"label": "Org",
"description": "Concrete BaseItemDto for subjects whose content type is unknown or mixed.\nUse when no domain-specific DTO subclass applies.\n/",
"row_count": 9
}
],
"views": [
"dto_coll_collection",
"dto_object",
"dto_per_org"
],
"generatedAt": "2026-06-29T18:03:32+00:00",
"metadata": {
"archivePreparedAt": "2026-06-29T18:03:32+00:00",
"schema": {
"tables": 6,
"properties": 31
},
"views": {
"views": 3
}
}
}
Overview
md
# Folio smith/hac HAC - Dataset key: `smith/hac` - Rows: 442 - Cores: 3 - Observed DTO tables: 3 ## Cores | Core | Label | Rows | | --- | --- | ---: | | `coll` | coll | 3 | | `obj` | obj | 430 | | `per` | per | 9 |
Observed Schema
md
# Observed Schema
## `dto_coll_collection`
- Core: `coll`
- DTO type: `collection`
- Rows: 3
A collection / series — an aggregation of items rather than a single object.
Two producers: the "folio of folios" (each row is a whole folio) and aggregators like the
Smithsonian that expose collections and series alongside objects. Unlike a generic item, a
collection is browsed by its dataset-level descriptors — provider, country, language, size —
so those are promoted to facets here. `subjects` (a parent facet) carries the dtoType mix.
/
| Field | Type | Flags | Description |
| --- | --- | --- | --- |
| `id` | `?string` | | |
| `contentType` | `?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 |
| `pageCount` | `?int` | sortable | Number of pages in the document. |
| `source` | `string` | | Source of this data: import \| ai \| ocr \| human |
## `dto_object`
- Core: `obj`
- DTO type: `object`
- Rows: 430
Three-dimensional physical objects and artifacts that do not fit a more specific type: tools, vessels, garments, specimens, etc.
| Field | Type | Flags | Description |
| --- | --- | --- | --- |
| `id` | `?string` | | |
| `sourceUrl` | `?string` | | |
| `contentType` | `?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 |
| `credit` | `?string` | | Credit line / acknowledgment, e.g. "Gift of the Brooklyn Museum of Art, Paul F. Walter Collection". |
| `citationUrl` | `?string` | | ItemField::CITATION_URL — deep link back to the source record (e.g. the NARA catalog page). Rendered as the "Original" link on the folio item page. |
| `rights` | `?string` | | dcterms:rights |
| `genreSpecific` | `?array` | filterable, facet | Specific genre/form terms (MODS genre @specific) — e.g. ["Albumen prints"]. A facet. |
| `iiifBase` | `?string` | | IIIF Image API base URL — use for AI vision and imgProxy resizing |
| `thumbnailUrl` | `?string` | | |
| `largeImageUrl` | `?string` | | |
| `pageCount` | `?int` | sortable | Number of pages in the document. |
| `source` | `string` | | Source of this data: import \| ai \| ocr \| human |
| `dimensions` | `?array` | | MuseumVocab::DIMENSIONS — structured dimension records. Each entry: {height?, width?, length?, depth?, radius?, units, name?} where height/width/length/depth/radius are numeric values in `units` (e.g. "cm", "in", "mm"). `name` is an optional label like "framed", "sight", "with mount", etc. Producers should emit only the keys present on the source record. / |
| `dimensionsRaw` | `?string` | | Original free-text dimensions string from the source, kept as a fallback when the normalizer cannot fully parse it (e.g. fractional inches, museum-specific shorthand). Templates may render this verbatim when `$dimensions` is empty. / |
| `accession` | `?string` | | MuseumVocab::ACCESSION — local accession / catalog number |
| `creators` | `?array` | | dcterms:creator — array of names |
## `dto_per_org`
- Core: `per`
- DTO type: `org`
- Rows: 9
Concrete BaseItemDto for subjects whose content type is unknown or mixed.
Use when no domain-specific DTO subclass applies.
/
| Field | Type | Flags | Description |
| --- | --- | --- | --- |
| `id` | `?string` | | |
| `contentType` | `?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 |
| `pageCount` | `?int` | sortable | Number of pages in the document. |
| `source` | `string` | | Source of this data: import \| ai \| ocr \| human |
Query Guide
md
# 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_coll_collection limit 20; ``` ```sql select * from dto_object limit 20; ``` ```sql select * from dto_per_org limit 20; ```