ISO 8000 - Data Quality
The ISO series on data quality: the principles, the three categories of quality and how each is measured, computer-processable governance policy statements, the data quality management process reference model of 20 processes, the six-level organizational maturity model on ISO/IEC 33020 attributes, process measurement stacks, master data and its architecture, and roles and responsibilities.
ISO 8000 - Data Quality is a compliance framework from International (ISO/TC 184/SC 4) with 9 domains and 72 controls that map to 167 other frameworks. The largest domains are ISO 8000-61:2016 data quality management process reference model – ISO 8000 - Data Quality (25 controls), ISO 8000-62:2018 organizational process maturity assessment – ISO 8000 - Data Quality (19 controls), ISO 8000-63:2019 data quality management process measurement – ISO 8000 - Data Quality (13 controls). Every control below carries what it requires and what an assessor expects to see.
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Framework Domains (9)
ISO 8000-100:2016 master data exchange overview – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::100:5 | 5 Master data |
| iso-8000-data-quality::100:6 | 6 Data architecture for master data |
| iso-8000-data-quality::100:7 | 7 High-level data model |
ISO 8000-150:2022 roles and responsibilities for data quality management – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::150:4 | 4 Principles of roles and responsibilities for data quality management |
| iso-8000-data-quality::150:5 | 5 Implementation requirements |
| iso-8000-data-quality::150:6 | 6 Conformance |
ISO 8000-1:2022 overview and principles – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::1:5 | 5 Principles of information and data quality |
| iso-8000-data-quality::1:6 | 6 The ISO 8000 series path to data quality |
ISO 8000-51:2023 data governance policy statements – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::51:5 | 5 Requirements for representing data governance policy statements |
| iso-8000-data-quality::51:6 | 6 Conformance |
ISO 8000-61:2016 data quality management process reference model – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::61:10 | 10 Implementation requirements |
| iso-8000-data-quality::61:4 | 4 Fundamental principles of data quality management |
| iso-8000-data-quality::61:5.1 | 5.1 The basic structure of the data quality management process |
| iso-8000-data-quality::61:5.2 | 5.2 The detailed structure of the data quality management process |
| iso-8000-data-quality::61:6.1 | 6.1 Overview of Implementation |
| iso-8000-data-quality::61:6.2.2 | 6.2.2 Requirements Management (DQP.1) |
| iso-8000-data-quality::61:6.2.3 | 6.2.3 Data Quality Strategy Management (DQP.2) |
| iso-8000-data-quality::61:6.2.4 | 6.2.4 Data Quality Policy/Standards/Procedures Management (DQP.3) |
| iso-8000-data-quality::61:6.2.5 | 6.2.5 Data Quality Implementation Planning (DQP.4) |
| iso-8000-data-quality::61:6.3.2 | 6.3.2 Provision of Data Specifications and Work Instructions (DQC.1) |
| iso-8000-data-quality::61:6.3.3 | 6.3.3 Data Processing (DQC.2) |
| iso-8000-data-quality::61:6.3.4 | 6.3.4 Data Quality Monitoring and Control (DQC.3) |
| iso-8000-data-quality::61:6.4.2 | 6.4.2 Review of Data Quality Issues (DQA.1) |
| iso-8000-data-quality::61:6.4.3 | 6.4.3 Provision of Measurement Criteria (DQA.2) |
| iso-8000-data-quality::61:6.4.4 | 6.4.4 Measurement of Data Quality and Process Performance (DQA.3) |
| iso-8000-data-quality::61:6.4.5 | 6.4.5 Evaluation of Measurement Results (DQA.4) |
| iso-8000-data-quality::61:6.5.2 | 6.5.2 Root Cause Analysis and Solution Development (DQI.1) |
| iso-8000-data-quality::61:6.5.3 | 6.5.3 Data Cleansing (DQI.2) |
| iso-8000-data-quality::61:6.5.4 | 6.5.4 Process Improvement for Data Nonconformity Prevention (DQI.3) |
| iso-8000-data-quality::61:7.2 | 7.2 Data Architecture Management (DRS.1) |
| iso-8000-data-quality::61:7.3 | 7.3 Data Transfer Management (DRS.2) |
| iso-8000-data-quality::61:7.4 | 7.4 Data Operations Management (DRS.3) |
| iso-8000-data-quality::61:7.5 | 7.5 Data Security Management (DRS.4) |
| iso-8000-data-quality::61:8.2 | 8.2 Data Quality Organization Management (RPV.1) |
| iso-8000-data-quality::61:8.3 | 8.3 Human Resource Management (RPV.2) |
ISO 8000-62:2018 organizational process maturity assessment – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::62:4.1 | 4.1 Purpose of organizational process maturity levels |
| iso-8000-data-quality::62:4.2 | 4.2 Process capability levels and process attributes |
| iso-8000-data-quality::62:4.3 | 4.3 Rating process attributes and process capability |
| iso-8000-data-quality::62:4.4.2 | 4.4.2 Maturity Level 0: Immature |
| iso-8000-data-quality::62:4.4.3 | 4.4.3 Maturity Level 1: Basic |
| iso-8000-data-quality::62:4.4.4 | 4.4.4 Maturity Level 2: Managed |
| iso-8000-data-quality::62:4.4.5 | 4.4.5 Maturity Level 3: Established |
| iso-8000-data-quality::62:4.4.6 | 4.4.6 Maturity Level 4: Predictable |
| iso-8000-data-quality::62:4.4.7 | 4.4.7 Maturity Level 5: Innovating |
| iso-8000-data-quality::62:4.5.1 | 4.5.1 Rules for deriving organizational process maturity level ratings |
| iso-8000-data-quality::62:4.5.2 | 4.5.2 Maturity Level 1: Basic (profile) |
| iso-8000-data-quality::62:4.5.3 | 4.5.3 Maturity Level 2: Managed (profile) |
| iso-8000-data-quality::62:4.5.4 | 4.5.4 Maturity Level 3: Established (profile) |
| iso-8000-data-quality::62:4.5.5 | 4.5.5 Maturity Level 4: Predictable (profile) |
| iso-8000-data-quality::62:4.5.6 | 4.5.6 Maturity Level 5: Innovating (profile) |
| iso-8000-data-quality::62:4.6 | 4.6 Assessment activities |
| iso-8000-data-quality::62:4.7 | 4.7 Roles, responsibilities and competence |
| iso-8000-data-quality::62:4.8 | 4.8 Assessment inputs |
| iso-8000-data-quality::62:4.9 | 4.9 Assessment outputs |
ISO 8000-63:2019 data quality management process measurement – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::63:5 | 5 Fundamentals of process measurement |
| iso-8000-data-quality::63:6 | 6 Process measurement and maturity models |
| iso-8000-data-quality::63:7.1 | 7.1 Overview of inspection plans |
| iso-8000-data-quality::63:7.10 | 7.10 Exploiting the measurement stack with specific maturity models |
| iso-8000-data-quality::63:7.11 | 7.11 Performing process measurement |
| iso-8000-data-quality::63:7.2 | 7.2 The measurement stack structure |
| iso-8000-data-quality::63:7.3 | 7.3 Goals |
| iso-8000-data-quality::63:7.4 | 7.4 Sub goals |
| iso-8000-data-quality::63:7.5 | 7.5 Questions |
| iso-8000-data-quality::63:7.6 | 7.6 Indicators |
| iso-8000-data-quality::63:7.7 | 7.7 Metrics |
| iso-8000-data-quality::63:7.8 | 7.8 Logical coherence of the measurement stack |
| iso-8000-data-quality::63:7.9 | 7.9 Role of value assessment rules in process measurement |
ISO 8000-8:2015 information and data quality concepts and measuring – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::8:5.1 | 5.1 Syntactic quality |
| iso-8000-data-quality::8:5.2 | 5.2 Semantic quality |
| iso-8000-data-quality::8:5.3 | 5.3 Pragmatic quality |
| iso-8000-data-quality::8:6 | 6 Conformance |
ISO/TS 8000-60:2017 overview of data quality management – ISO 8000 - Data Quality
| Code | Title |
|---|---|
| iso-8000-data-quality::60:4.1 | 4.1 A value-driven approach to data quality management |
Your Compliance Coverage
If you comply with ISO 8000 - Data Quality, you already cover:
UK GDPR (UK General Data Protection Regulation)
3%
3 controls mapped
Compare →Nigeria Data Protection Act 2023 (NDPA)
3%
3 controls mapped
Compare →Nebraska Data Privacy Act
3%
3 controls mapped
Compare →+ 164 more: South Korea PIPA (3%), DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition) (3%)
See all 167 mapped frameworks ↓Maps to 167 other frameworks
Coverage is not the same as your position
This page shows what ISO 8000 - Data Quality overlaps with in general. Where your organisation actually stands, against the standard you are going for and the certifications you already hold, is a different question. Same graph and the same recorded refutations, scoped to you rather than to a pair.
The Compliance Position Diagnostic, $5,000 fixed, ten business daysWhat is ISO 8000 - Data Quality and who does it apply to?
ISO 8000 - Data Quality is a compliance framework from International (ISO/TC 184/SC 4) with 9 domains and 72 controls. The ISO series on data quality: the principles, the three categories of quality and how each is measured, computer-processable governance policy statements, the data quality management process reference model of 20 processes, the six-level organizational maturity model on ISO/IEC 33020 attributes, process measurement stacks, master data and its architecture, and roles and responsibilities. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
What does ISO 8000 - Data Quality actually require?
ISO 8000 - Data Quality has 72 controls organised across 9 domains. The largest domains are ISO 8000-61:2016 data quality management process reference model – ISO 8000 - Data Quality (25 controls), ISO 8000-62:2018 organizational process maturity assessment – ISO 8000 - Data Quality (19 controls), ISO 8000-63:2019 data quality management process measurement – ISO 8000 - Data Quality (13 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
If I already comply with another framework, how much of ISO 8000 - Data Quality do I already cover?
ISO 8000 - Data Quality maps to 167 other compliance frameworks. The top mapping partners are UK GDPR (UK General Data Protection Regulation) (3% coverage), Nigeria Data Protection Act 2023 (NDPA) (3% coverage), Nebraska Data Privacy Act (3% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I implement ISO 8000 - Data Quality?
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