Skip to main content

Standardized Data Format

Legal entity data originates from diverse sources, including national registries, international aggregators, and third-party providers. Each source typically uses its own structure, field naming, and logic.

To ensure consistency and usability, G-BRIS transforms all incoming records into a single, normalized data schema.

This standardized format allows clients to work with a predictable data structure regardless of the source.

Example: Structural Unification​

SourceOriginal structure
Registry A{ "firm": { "name": "ABC", "jurisdiction": "EE" } }
Registry B{ "entityName": "ABC", "country": "EST" }

After standardization, both records are transformed into:

{
  "name": "ABC",
  "country_code": "EE"
}

Design Goals​

  • Consistency: All records conform to the same schema
  • Predictability: Fields are always named and positioned the same way
  • Compatibility: Ready for use in indexing, filtering, and analysis

While G-BRIS standardizes data structure, it also maps source-specific values (such as legal forms and identifier types) into consistent controlled vocabularies.

For details on value-level normalization, see the Classifier System.