Publish / describe · All operations
Describe a dataset
Emit metadata: data dictionary, schema file, lineage, data package descriptor.
Status
- In arcform
Not built yet
arcform does not do this yet. Its place on the roadmap
arcform has
datapackage_describefor a Frictionless Data Package descriptor.- Shape of the result
- the table sent out, with nothing new to look at
- Level
- needs an arcform operator
Variants
- Document pipelines and their lineage
Generate documentation of pipelines, or rows of lineage saying which tables and assets each pipeline reads and writes.
- Publish metadata to a data catalog
Send harvested metadata about datasets and their fields to a data catalog service.
Describe a table or model in place
Attach comments, glossary terms, schema descriptions or metadata fields to a table, column or model.
What other tools call it
Meridian's classification; an independent blind rating agreed on 86.2% of 312 rows (exact class, version 2).
Alteryx Designer (3)
Connect JSON Builderread 2026-09-27Build the JSON metadata document for the Alteryx Connect API in a metadata loader
Connect Outputread 2026-09-27Send harvested metadata to the Alteryx Connect API in a metadata loader
ODBC Loaderread 2026-09-27Internal tool used by Connect metadata loaders over ODBC sources
Apache Hop (2)
Build documentationread 2026-09-27Generate documentation for the pipelines and workflows of a project
Database impact inputread 2026-09-27Emit the database tables and fields each pipeline reads or writes, as lineage rows
Bruin (6)
Dashboard assets (family)read 2026-09-2715 BI tool types (tableau, looker, metabase, powerbi, superset, …): no-op assets kept for lineage
Glossaryread 2026-09-27Shared entities and attributes that asset columns extend to inherit name, type and description
Source assets (family)read 2026-09-2714 platform types (bq.source, pg.source, …): no-op assets documenting existing tables for lineage
quicksight.dashboardread 2026-09-27Represent a QuickSight dashboard; no-op, for lineage
tableau.dashboardread 2026-09-27Represent a Tableau dashboard; no-op, for lineage
tableau.worksheetread 2026-09-27Represent a Tableau worksheet; no-op, for lineage
DuckDB (1)
COMMENT ONread 2026-09-27Attach a comment to a table, column, view or other catalog entry
EasyMorph (1)
Catalog commandread 2026-09-27List, create, move, rename or delete Data Catalog assets, collections, fields and metrics
OpenRefine (1)
Export Wikidata schemaread 2026-09-27Write the column-to-statement schema as a JSON file for reuse on other projects
Pentaho Data Integration (2)
Automatic Documentation Outputread 2026-09-27Generate documentation for a list of transformations and jobs
Write metadataread 2026-09-27Write metadata about resources to Pentaho Data Catalog
RapidMiner Studio (1)
Scan Processesread 2026-09-27Parse the stored processes under a repository folder and list every operator they use
Yggdrasil Decision Forests (2)
ModelMetadataread 2026-09-27Owner, creation date, uid, framework and custom fields stored inside a model
metadata / set_metadataread 2026-09-27Read or replace the model's owner, creation date, uid, framework and custom fields
Background
Metadata is data that defines and describes the characteristics of other data, and it often makes that data easier to retrieve, use or manage.[1] A data dictionary typically names and describes the tables and fields of a database, with details such as the type and length of each data element.[2] In the Data Package standard, a dataset's metadata is stored in a descriptor, a file named datapackage.json when the package is a directory of files.[3]
When to use it
Database users and application developers can benefit from an authoritative data dictionary document that catalogues the organisation, contents and conventions of one or more databases.[2] There is no universal standard for the level of detail in a data dictionary document.[2] Decide who will read the description before choosing its form: a person reading a data dictionary, or a program reading a schema file, wants different things. (Meridian's view)
A passive data dictionary is updated manually and independently of any changes to the structure of the database it describes.[2] A description written by hand beside the data goes stale quietly, so generate it from the data whenever the data is rebuilt. (Meridian's view)
In Table Schema, the Data Package standard's format for declaring a schema for tabular data, a field with no type property is of the type any, and a consumer must not infer its type from its values.[4] By default, Table Schema requires the fields in a data source to match the fields in the schema exactly, in number and in order.[4] Regenerate the schema when columns are added or reordered, or loosen the match on purpose, rather than letting the two drift apart. (Meridian's view)
The method
The National Information Standards Organization (NISO) distinguishes three types of metadata: descriptive, structural and administrative.[1] NISO's descriptive metadata is typically used for discovery and identification, with elements such as title, authors, subjects, keywords and publisher.[1]
In DuckDB, DESCRIBE can be used as a subquery, so a table's description can be saved as a table of its own.[5]
A Data Package descriptor must have a resources property and should have name, id, licenses and profile properties.[3] A Data Package descriptor carries general metadata such as the package's title, licence and publisher, and lists the package's resources with their locations and, possibly, their schemas.[3] Table Schema is a language- and implementation-agnostic way to declare a schema for tabular data.[4] In Table Schema, each field descriptor must have a name, and may also give the field a title, a description, a type and a format.[4]
In DuckDB, the COMMENT ON statement adds metadata to catalog entries such as tables, columns and views, following PostgreSQL's syntax.[6] In DuckDB, comments are read back from the comment column of metadata functions such as duckdb_tables() and duckdb_columns(), and a comment set to NULL is removed.[6] In DuckDB, COMMENT ON cannot comment on schemas or databases.[6]
Sources
- [1]Metadata - Wikipediasecondary source
- [2]Data dictionary - Wikipediasecondary source
- [3]Data Package | Data Package Standardstandard
- [4]Table Schema | Data Package Standardstandard
- [5]Describe – DuckDBdocumentation
- [6]COMMENT ON Statement – DuckDBdocumentation
Used in
15 Protocols use this operation:
- NAICS — Industry Classification, steps
describe,stamp_descriptor - Epoch AI Notable AI Models dataset, step
describe - GLEIF — Legal Entity Identifiers, steps
describe,stamp_version,stamp_descriptor - California Housing dataset, step
describe - Census Income (Adult) dataset, step
describe - EDGAR ↔ GLEIF — Company-to-LEI Crosswalk, step
describe - MedMCQA dataset, step
describe - Movies (vega-datasets) dataset, step
describe - Online Retail II dataset, step
describe - Palmer Penguins dataset, step
describe - ScienceQA dataset, step
describe - SuperGPQA dataset, step
describe - NYC Yellow Taxi Trips dataset, step
describe - SEC EDGAR — Company Tickers, steps
describe,stamp_descriptor - USGS Earthquakes 2025 dataset, step
describe