NEW
Also known as: Data Element Naming, Naming Standards
The practice of assigning consistent, meaningful, and governed names to data elements across models and systems.
DESCRIPTION
Attribute naming promotes clarity, reuse, and interoperability by following standards for terms, abbreviations, and ordering. Principles from ISO/IEC 11179 guide data element naming and identification. Good naming reduces ambiguity, improves discoverability in catalogs, and simplifies integration and governance. It should be enforced via linters, reviews, and metadata policies.
ALTERNATIVE DEFINITIONS
Wikipedia
A naming convention is a set of rules for choosing the character sequence to be used for identifiers in code and documentation.
General rule-based approach applies analogously to data identifiers.
Wikipedia
ISO/IEC 11179 is an international standard for representing metadata for an organization in a metadata registry.
Part 5 covers naming and identification principles for data elements.
RELATED TERMS
ISO/IEC 11179 Business Glossary Data Glossary Value Set Semantic Consistency Model Data Metadata Management Naming Convention Governance
COMPETING TERMS
Inconsistent Naming Conventions
RELATIONS
- Broader: Governance Metadata Management
KNOWLEDGE AREAS
Metadata Management Data Modeling Data Management Data Governance Data Quality
TARGET AUDIENCE
Data Steward Data Modeler Data Architect Analytics Engineer Data Engineer Information Analyst
EXTERNAL SOURCES
- Wikipedia - Naming convention (programming)
- ISO - ISO/IEC 11179 metadata registry standard
- Google Cloud - Naming best practices guidance
- Snowflake - Object naming rules and conventions
TOP QUESTIONS
Why does Attribute Naming matter?
Consistent names reduce ambiguity, speed discovery, and simplify integration and governance across teams and tools.
Category: Relevancy
What principles guide Attribute Naming?
Use business terms, avoid abbreviations unless standardized, apply consistent ordering, and follow ISO/IEC 11179 guidance.
Category: BestPractice
How do you enforce naming standards?
Adopt policy, use model reviews, automated linters, and metadata checks in CI/CD pipelines.
Category: HowTo
What are common Attribute Naming mistakes?
Inconsistent abbreviations, overloaded terms, and mixing business concepts with system-specific jargon.
Category: Mistakes
How do naming standards relate to glossaries?
Glossaries provide authoritative terms that naming standards reference to align models with business language.
Category: Relationship
Should attribute names be business or technical?
Prefer business-friendly names in shared layers; map to technical identifiers where constraints exist.
Category: Opinion
How to handle legacy naming inconsistencies?
Introduce aliases, document mappings, and gradually refactor with versioning and deprecation plans.
Category: HowTo
What metrics demonstrate naming quality?
Reduced synonym proliferation, glossary match rates, and fewer mapping exceptions indicate improvement.
Category: Measurement
How does naming affect BI usability?
Clear names improve self-service analytics adoption and reduce training overhead.
Category: Impact