Reference DataSTD_2011v1

Unit of Measure Standardization

Ensures consistent units of measure across all systems and data fields.

Owner: Unassigned

Updated: 10/31/2025

Business Rule

Mixing units (kg vs lbs, km vs miles) leads to calculation errors, safety issues, and operational mistakes.

Technical Implementation

Maintain UoM reference table. Store both value and unit. Convert to standard unit for calculations.

Examples

Good practices vs common violations

Good Examples

Weight: 500 KG

Distance: 150 KM

Temperature: 25 C

Poor Examples (Violations)

Weight: 500 (no unit)

mixing '1100 lbs' and '500 kg' in same field

Additional Information

Target Industries

All

Status

active

Local Network

DQ Improvements

Data quality dimensions improved by this standard

Availability

high

The degree to which data can be consulted or retrieved by data consumers or a process.

Type: prevents

Completeness (Data values of an attribute)

high

The degree to which all required data values of an attribute are present.

Type: prevents

Interpretability

high

The degree to which data are in an appropriate language and units of measure.

Type: prevents

Validity

high

The degree to which data values comply with rules.

Type: prevents

Quick Stats

Related KPIs0

DQ Improvements4

Versionv1

API Access

GET /api/standards/unit-of-measure-standardization