ISO 8000-61:2016 PDF
Data quality — Part 61: Data quality management: Process reference model
Data quality — Part 61: Data quality management: Process reference model
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 21
- Дата публикации:
- 17 ноября 2016 г.
- Издание:
- ISO IS 8000 edition 1 version 1
- ICS:
- 25.040.40
ISO 8000-61:2016 specifies the processes required for data quality management. The processes are used as a reference to enhance data quality and assess process capability or organizational maturity for data quality management.
Abstract
Overview
ISO 8000-61:2016 - “Data quality - Part 61: Data quality management: Process reference model” is an ISO standard that specifies the processes required for data quality management. Published in 2016 as part of the ISO 8000 series, it provides a process-centric reference model to help organizations measure, manage and improve the quality of digital data (including structured data and less-structured formats such as images, audio, video and documents). The standard is intended for use at the organization level and by external assessors to evaluate process capability and organizational maturity in data quality management.
Key topics and technical requirements
- Fundamental principles: process approach, continuous improvement (Plan‑Do‑Check‑Act), and involvement of people at all organizational levels.
- Process structure: a three-part model comprising:
- Implementation - the PDCA-based lifecycle for data quality work (planning, control, assurance, improvement).
- Data‑Related Support - enabling processes such as data architecture, data transfer, data operations and data security.
- Resource Provision - organizational and human resource management for data quality capability.
- Lower‑level processes defined (purposes, outcomes, activities) include:
- Data Quality Planning (requirements, strategy, policy/standards, implementation planning)
- Data Quality Control (data specifications, processing, monitoring)
- Data Quality Assurance (issue review, measurement criteria, performance measurement and evaluation)
- Data Quality Improvement (root‑cause analysis, solution development, data cleansing, process improvements)
- Scope and limitations: the standard defines what processes are required and their intended outcomes; it does not prescribe detailed methods or procedures for achieving those outcomes.
- Assessment use: a process reference model usable by certification bodies and internal auditors to assess capability and maturity.
Practical applications - who uses ISO 8000-61
- Data governance teams and data stewards use the model to design and document repeatable data quality processes.
- CIOs, data architects and data operations groups leverage the Data‑Related Support guidance to align technology and architecture with quality needs.
- Quality managers and auditors use the standard to assess process capability and to benchmark organizational maturity in data quality management.
- Organizations exchanging data across systems or enterprises apply the standard to ensure consistent data quality controls, metrics and continuous improvement.
- Consultants and certification bodies reference the model when performing maturity assessments or recommending process improvements.
Related standards
- ISO 8000 series (general, master, transactional, product data quality)
- ISO 8000-2 (vocabulary)
- ISO/TS 8000-1 (structure of ISO 8000)
- Complementary with ISO 9001 (quality management) and ISO 12207 concepts referenced for process classification
ISO 8000-61 is a practical, standards‑based framework for embedding data quality into organizational processes, enabling measurable improvement and governance of critical information assets.
Технические детали
- Технический комитет
- ISO/TC 184/SC 4 - Industrial data
- SKU
- ISO 8000-61:2016
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