ISO/TS 8000-82:2022

Overview

ISO/TS 8000-82:2022 - Data quality - Part 82: Data quality assessment: Creating data rules - defines how to express and assess data rules that sustain the integrity and reliability of digital data. The Technical Specification explains fundamental concepts and the key characteristics of machine‑processable rules for common data types (identifier, currency value, quantity, date/time, rate, free‑text entry, code and key) and describes how data profiling (per ISO/TS 8000‑81) informs effective rule creation. The specification is intentionally not a catalogue of specific rules for particular data sets; rather it provides guidance for formulating rules that reflect organizational requirements and system design.

Key topics and technical requirements

• Fundamental concepts of data rules: definition of a data rule as a specification that applies to instances of a data attribute within a data set; rules capture design analysis and operational requirements.
• Data rule characteristics by data type: guidance on what to control for identifiers, currency values, quantities, dates/times, rates, free text, codes and keys (for example: mandatory/optional status, allowed value sets, format constraints, units of measure, precision and min/max ranges).
• Role of data profiling: profiling is required to gather evidence and inform the formulation and validation of rules; ISO/TS 8000‑81 is the recommended profiling reference.
• Lifecycle and governance considerations: rules can apply across the data lifecycle (creation to destruction) and should be managed as an integrated, coherent set originating from policy, design, or system functionality.
• Assessment focus: rules enable objective assessment of data conformity and support proactive data quality management.

Practical applications and users

Who benefits:

• Data stewards and data governance teams - to define enforceable rules that align with business requirements.
• Data architects and database designers - to translate requirements into schema constraints and validation logic.
• Data quality analysts and profilers - to derive rules from profiling results and measure conformance.
• Software developers and integrators - to implement validation, parsing and transformation logic in applications and ETL pipelines.
• Compliance officers and auditors - to demonstrate repeatable, auditable controls over critical data.

Typical uses:

• Creating machine‑readable validation rules for master data and transactional systems.
• Designing unit/precision and format rules for engineering, finance, and logistics data.
• Integrating rule sets into data pipelines, APIs and data quality monitoring tools.
• Supporting digital transformation, interoperability and evidence‑based trust across supply chains.

Related standards

• ISO 8000‑2 (Vocabulary)
• ISO/TS 8000‑81 (Data profiling)
• ISO 8000 series (data quality management)
• ISO 9001 (quality management systems) - for governance alignment
• ISO/IEC 11404 and IEC 61360‑1 - for datatype nomenclature and property definition

Keywords: ISO/TS 8000‑82:2022, data quality, data rules, data profiling, data quality assessment, data governance, identifiers, currency value, quantity, date/time, codes, keys.