ISO/TS 8000-60:2017
Data quality — Part 60: Data quality management: Overview
Data quality — Part 60: Data quality management: Overview
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 10
- Дата публикации:
- 13 октября 2017 г.
- Издание:
- ISO TS 8000 edition 1 version 1
- ICS:
- 25.040.40
ISO/TS 8000‑60:2017 introduces the concepts within the parts of ISO 8000 related to implementing, assessing and improving data quality management. The following are within the scope of ISO/TS 8000‑60:2017: · a statement of the overall scope of those parts of ISO 8000 related to data quality management; · an overview of ISO 8000‑61, which specifies a process reference model for data quality management; · an overview of ISO 8000‑62, which specifies a model that conforms to some of the requirements of ISO/IEC 33004 and that establishes a basis on which to determine the maturity of an organization with respect to data quality management; · an overview of ISO 8000-63, which specifies the measurement procedure and measurement stack by which to measure the characteristics of processes for data quality management; · an overview of ISO 8000‑64, which specifies a model that applies the Test Process Improvement method as a basis on which to determine the maturity of an organization with respect to data quality management. The details for implementing the parts of ISO 8000 related to data quality management are outside the scope of ISO/TS 8000‑60:2017.
Abstract
Overview
ISO/TS 8000-60:2017 provides an overview of the ISO 8000 parts that support implementing, assessing and improving data quality management. Rather than prescribing implementation steps, it introduces core concepts, explains the relationships between the ISO 8000 parts for management, measurement and maturity, and frames a value-driven approach to improving data quality across the data lifecycle. It is intended for organizations that manage structured and unstructured digital data and for stakeholders assessing organizational capability in data quality management.
Key topics and requirements
- Scope and purpose: Describes the overall scope of ISO 8000 parts related to data quality management and clarifies that implementation details are out of scope.
- Value-driven approach: Emphasizes managing data quality to deliver organizational value by understanding risks, measuring current performance, prioritizing improvements, and iterating measurement and improvement cycles.
- Process reference model (ISO 8000-61): Introduces processes for planning, controlling, assuring and improving data quality (data quality planning, control, assurance, improvement), plus supporting processes (data architecture, transfer, operations, security) and resource provision.
- Maturity models (ISO 8000-62 and ISO 8000-64): Summarizes two approaches to assessing organizational maturity for data quality management - one aligned with ISO/IEC 33004/33020 elements, and another based on the Test Process Improvement method.
- Measurement procedure and stack (ISO 8000-63): Outlines that process characteristics should be measured using a specified measurement procedure and measurement stack to provide evidence for maturity assessment.
- Assessment-focused: Specifies how these parts interrelate to assess process capability and organizational maturity rather than directly judging data artifacts.
Practical applications and users
Who uses ISO/TS 8000-60 and related ISO 8000 parts:
- Data quality managers and data governance teams planning organization-level data quality programs.
- Quality managers and process owners who need a reference process model for planning, control, assurance and improvement.
- IT managers and architects aligning data architecture, transfer and operations with quality objectives.
- Auditors, assessors and certification bodies seeking a consistent basis to evaluate process capability and maturity.
- Tool vendors and consultants designing measurement tools or maturity assessment services.
Practical uses:
- Selecting and combining ISO 8000 parts for an organizational data quality roadmap.
- Establishing measurement-based evidence for process improvements.
- Benchmarking maturity and prioritizing high-impact improvements across the data lifecycle.
Related standards
- ISO 8000 series (notably ISO 8000-61, -62, -63, -64)
- ISO 8000-2 (vocabulary)
- ISO/IEC 33004 and ISO/IEC 33020 (process capability/maturity references)
- ISO/TS 8000-1 (ISO 8000 structure)
Keywords: ISO 8000-60, data quality management, data quality standard, process reference model, maturity model, measurement stack, ISO 8000-61, ISO 8000-62, ISO 8000-63, ISO 8000-64.
Технические детали
- Технический комитет
- ISO/TC 184/SC 4 - Industrial data
- SKU
- ISO/TS 8000-60:2017
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