Knowledge & Data · Data artifact

Data Quality Rule Set

Data artifactKnowledge & DataKnowledge & Dataarc:DataQualityRuleSet

A declarative configuration of validation rules (value ranges, regex format patterns, minimum content length, date windows, cross-field constraints) each mapped to an enforcement severity.

Responsibility. Specifies which value-level checks are applied and how severe each violation is.

Also known as: Validation rules, Validator configuration

Direct neighbourhood (hover for relationship types)

Relationships

configures structural

Data Quality Validator Ch6.4

Design guidance

SHOULD map suspicious-but-possibly-valid conditions (e.g., short content) to WARNING rather than ERROR.

Quantitative guidance

As stated by the sources; verify before use.

Example rule: content under 50 characters flagged as suspiciously short (Ch6.4 example output).

Classification

Patterns: Rule-to-severity mapping
Quality attributes: Maintainability (ISO/IEC 25010)
Risks mitigated: Out-of-range valuesMalformed emails, URLs and phone numbersTruncated content
Frameworks & regulations: ISO 8601E.164

Sources

Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.