ISO 8000 is the international standard for data quality and enterprise master data, defining requirements for representing, exchanging, and measuring the quality of data so it can be trusted across organisational boundaries. It specifies how data should be portable, syntactically and semantically defined, and provenance-bearing, and it provides a framework for assessing characteristics such as completeness, accuracy, and conformance. The standard underpins master data management and data governance programmes that need an objective, verifiable basis for data quality.
- ISO 8000 is the international standard for Data Quality and master data, setting requirements for how data is represented, exchanged, and measured.
- It belongs to the family of Data Standards maintained through formal Standardization processes.
- The standard underpins Master Data Management and Data Governance by giving them an objective, verifiable basis for trusting data.
Overview
- ISO 8000 addresses the problem that data is often unusable across organisations because its meaning, structure, and provenance are unclear.
- It defines portable data that carries its own definitions, so a receiver can interpret it without external context.
- The standard specifies quality characteristics and the metadata required to assess them, enabling repeatable measurement.
- It is structured in parts covering master data, data quality management, and the exchange of characteristic data.
- Conformance lets organisations certify that data meets explicit, agreed quality requirements rather than relying on informal trust.
Key aspects
- Portability — data accompanied by the definitions needed to interpret it.
- Semantic encoding — explicit linkage of values to a shared Data Model and Schema.
- Provenance — recorded origin and processing history of data.
- Quality measurement — defined characteristics such as completeness, accuracy, and conformance.
- Master data focus — consistent reference data shared across an enterprise.
Applications
- Certifying supplier and product master data exchanged between trading partners.
- Establishing measurable data-quality targets within governance programmes.
- Improving interoperability in supply-chain and procurement systems.
- Providing audit-ready evidence of data quality for regulated industries.