Overview
ISO 8000-8:2015 - "Data quality - Part 8: Information and data quality: Concepts and measuring" defines core concepts and practical prerequisites for measuring information and data quality. Part of the ISO 8000 series, this standard explains the three primary quality dimensions - syntactic, semantic, and pragmatic - and specifies what must be in place to perform verifiable measurements within quality management processes and quality management systems. It applies across organizations, data types, storage media, software and life‑cycle stages.
Key topics and requirements
- Three quality categories
- Syntactic quality: degree to which data conforms to its specified syntax (metadata and implementation schema).
- Semantic quality: degree to which data corresponds to what it represents (mapping to entities in a conceptual model).
- Pragmatic quality: degree to which data is suitable and worthwhile for a particular purpose (usage‑based requirements expressed as dimensions).
- Prerequisites for measurement
- A complete set of syntactic quality rules (Annex B) and formal expression specifications.
- For each rule: defined compliance metrics, explanation of non‑compliance effects, how deviations are recorded, and counts of checks and compliant occurrences.
- A documented conceptual model and a presentation of data that enables mapping to that model for semantic verification.
- Prescribed verification and validation methods, and documentation of any external entities not checked.
- Reporting and conformance
- Requirements to report measurement methods, scales used, sampling/statistical approaches when full checks are infeasible, and confidence information (which rules were checked, exceptions, sampling limits).
- Supporting materials
- Informative annexes (syntactic rules, pragmatic quality guidance, and an activity model for measuring data quality - Annex D).
Applications and who uses it
ISO 8000-8 is practical for organizations that need rigorous, repeatable ways to measure and report data quality across information systems. Typical use cases:
- Data governance, master data management (MDM) and data stewardship - defining measurable quality rules and conformance reporting.
- Data migration, integration and exchange - verifying syntactic conformity and semantic correspondence across systems.
- Quality management systems - embedding data quality measurement into existing ISO‑based QMS processes.
- Teams and roles: data managers, data stewards, IT architects, quality managers, auditors, and business sponsors responsible for information‑dependent processes (capturing, storing, archiving, retrieving, transferring, delivering, disposing).
Related standards
- ISO 8000 series (see ISO/TS 8000‑1 for architecture and ISO 8000‑2 for vocabulary)
- References to ISO 9000 concepts (requirements, verification, validation) and other ISO/IEC definitions used for clarity.
Keywords: ISO 8000-8, data quality, information quality, data quality measurement, syntactic quality, semantic quality, pragmatic quality, quality management systems, metadata, conceptual model, data governance.
