Data Standard Implementation

A Data Standard or "datastandard" enforces a number of behaviors both on the UI and in the backend, including validation and submission handling in the adapter.

Validation in a datastandard operates at two levels:

• Attribute restrictions validate a single attribute's value in isolation: length, patterns (regular expressions), lists of values, numeric ranges. These are defined on each attribute — see Attributes.
• Business rules validate across attributes: an attribute that is required only when another attribute is set (conditionallyRequired), attributes whose values depend on each other (dependentAttribute), uniqueness constraints, and arbitrary Groovy-based rules. See Business Rule Implementation.

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Cross-field and conditional requirements

If your target system requires "at least one of these fields" or "field X is mandatory when field Y is filled", model it as a business rule, not an attribute restriction — see Rule Types for the available templates.