ISO/TS 8000-65:2020
(Main)Data quality — Part 65: Data quality management: Process measurement questionnaire
Data quality — Part 65: Data quality management: Process measurement questionnaire
This document specifies a questionnaire to audit the performance of the processes specified by the process reference model in ISO 8000‑61. NOTE 1 This questionnaire is applicable to all types of business process, technology, information system, data and data processing. This questionnaire can be used as part of a continuous improvement process. The following are within the scope of this document: — guiding principles for generating questions from the process outcomes specified by ISO 8000‑61; — one or more questions for each outcome of every process in ISO 8000‑61; — a measurement method based on a simple indicator and measurement scale for each question; — guidance on how to present the results generated by the questionnaire. NOTE 2 The questions and corresponding indicators in this document conform to the requirements of ISO 8000‑63. The following is outside the scope of this document: — defining how the questions relate to models of organizational process maturity. NOTE 3 Such models define an overall scale by which to understand the degree to which an organization is performing effectively and efficiently. EXAMPLE ISO 8000‑62 and ISO 8000‑64 [1]specify how to use maturity models with ISO 8000‑61. [1] Under preparation.
Qualité des données — Partie 65: Gestion de la qualité des données: Titre manque
General Information
Standards Content (Sample)
TECHNICAL ISO/TS
SPECIFICATION 8000-65
First edition
2020-06
Data quality —
Part 65:
Data quality management: Process
measurement questionnaire
Reference number
ISO/TS 8000-65:2020(E)
©
ISO 2020
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ISO/TS 8000-65:2020(E)
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ISO/TS 8000-65:2020(E)
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Data quality management . 2
5 Process measurement questionnaire . 2
5.1 Questionnaire overview . 2
5.1.1 Questionnaire structure . 2
5.1.2 Guiding principles for generating questions . 3
5.1.3 Indicators and measurement scale . 3
5.1.4 Questionnaire content . . . 3
5.2 Data quality planning . 4
5.2.1 Requirements management . 4
5.2.2 Data quality strategy management . 4
5.2.3 Data quality policy/standards/procedures management . 5
5.2.4 Data quality implementation planning . . 6
5.3 Data quality control . 7
5.3.1 Provision of data specifications and work instructions . 7
5.3.2 Data processing . 7
5.3.3 Data quality monitoring and control . 8
5.4 Data quality assurance .
...
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