Catalog

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The catalog is the place where you can get an overview of the scopes of your sources registered in the platform. It serves as your organization's data discovery and search tool.

You can search among these scopes and obtain contextual information depending on the type of scope found, regarding data quality and more.
(see third-party service integration for catalog metadata enrichment.)

Quick Search

The catalog provides a quick search feature accessible via the keyboard shortcut Ctrl+K (or Cmd+K on macOS) from anywhere in the platform. This allows you to rapidly find any scope across all your registered sources.

Filters

The catalog supports advanced filtering to narrow down your search results:

Filter	Description
Scope	Filter by scope level (dataset, table, column, cell, item, etc.)
Type	Filter by source type (database, file, API, etc.)
Domain	Filter by business domain (Finance, Marketing, Healthcare, etc.)
Data Owner	Filter by the person or team responsible for the data source

Filters can be combined to perform precise searches across your data landscape.

Scopes

Scopes represent a "zoom level" on your source.

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Example:

A database source can have the following scopes:

• table
• column
• row
• cell

It is up to the pack author to define the relevant scopes depending on the type of data source.
The metrics and recommendations produced by the pack will then be computed and attached to a scope.

Search Results

Search results in the catalog come with metrics that provide an overview of data quality. Each result displays:

• Quality score: The aggregated quality score for the scope.
• Dimensions: Scores for individual quality dimensions (completeness, accuracy, validity, etc.).
• Source information: The parent source, type, and domain.
• Data owner: The responsible person or team.
• Last assessment: When the quality was last evaluated.

Search result for query age returning multiple scopes and sources types

Contextual Details

Clicking on a search result provides contextual information that varies based on the scope type:

• Dataset scope: Overview of all tables, global quality metrics, recommendations.
• Table scope: Column-level quality breakdown, row counts, schema details.
• Column scope: Detailed metrics, data distribution, anomaly details.

Result for the column scope

Result for the dataset scope