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Proprietary/Internal Reference Data

🏷️Proprietary/Internal Reference Data

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Also known as: Internal Code Sets, Enterprise Reference Data

Organization-specific code lists and value sets used to classify, validate, and harmonize internal data across applications.

DESCRIPTION

Proprietary or internal reference data comprises code lists, categories, and enumerations created and governed within an organization. Examples include internal product hierarchies, custom statuses, or risk ratings. These values drive validation, transformation, and reporting consistency across systems. Strong stewardship ensures clear definitions, versioning, and change control. Mapping to industry standards may be needed for interoperability. Good practices include documentation in a business glossary and distribution via authoritative services.

ALTERNATIVE DEFINITIONS

IBM

Reference data is a class of data used to categorize other data.

Highlights the categorization role; internal reference data is the enterprise-maintained subset.

Source

Wikipedia

Reference data is data that is used to classify or categorize other data.

General definition applicable to both internal and external code sets.

Source

Informatica

Reference data consists of permissible values that other data fields can take.

Emphasizes controlled permissible values for validation and consistency.

Source

Reference Data Master Data Governance Data Stewardship Value Set Data Quality Data Glossary Data Discovery Platform

COMPETING TERMS

Industry Reference Data

RELATIONS

KNOWLEDGE AREAS

Reference & Master Data Data Management Data Governance Metadata Management

TARGET AUDIENCE

Data Steward Data Governance Manager Data Architect Chief Data Officer Data Management Consultant Information Analyst

EXTERNAL SOURCES

  • Wikipedia - Reference data
  • ISO - ISO 8000 reference data topic
  • Microsoft - Using reference datasets
  • IBM - RDM overview and practices

TOP QUESTIONS

Why maintain Proprietary/Internal Reference Data centrally?

Central stewardship prevents divergence of codes across systems, ensures consistent meaning, and simplifies change management and reporting.

Category: Governance

How does Proprietary/Internal Reference Data differ from Industry Reference Data?

Internal reference data is organization-defined; industry reference data is standardized by external bodies for wide interoperability.

Category: Comparison

What controls are needed for Internal Reference Data?

Versioning, approval workflows, impact analysis, and lineage to dependent systems are critical controls.

Category: Requirements

How do I distribute updated Internal Reference Data?

Use API-based reference data services, publish to catalogs, and automate synchronization to downstream systems.

Category: Implementation

What are common mistakes managing Internal Reference Data?

Allowing unmanaged local code lists, lacking definitions, and no change control cause inconsistency and reconciliation costs.

Category: Mistakes

How to map Internal Reference Data to standards?

Create crosswalk tables or SKOS mappings, and track equivalence with strong metadata and quality checks.

Category: Guidance

What risks arise from poor Internal Reference Data management?

Incorrect reporting, regulatory breaches, and failed integrations can result from inconsistent codes.

Category: Risks

Which roles own Internal Reference Data?

Data stewards and domain owners, governed by a data governance council, typically own definitions and changes.

Category: Roles

How often should Internal Reference Data change?

As needed for business evolution; manage change windows and communicate downstream impact proactively.

Category: Lifecycle