|
US$439.00 · In stock
Delivery: <= 4 days. True-PDF full-copy in English will be manually translated and delivered via email.
GB/T 42381.62-2023: Data quality - Part 62: Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment
Status: Valid
| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivered in | Standard Title (Description) | Status | PDF |
| GB/T 42381.62-2023 | English | 439 |
Add to Cart
|
4 days [Need to translate]
|
Data quality - Part 62: Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment
| Valid |
GB/T 42381.62-2023
|
PDF similar to GB/T 42381.62-2023
Basic data | Standard ID | GB/T 42381.62-2023 (GB/T42381.62-2023) | | Description (Translated English) | Data quality - Part 62: Data quality management: Organizational process maturity assessment | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | N10 | | Classification of International Standard | 25.040.40 | | Word Count Estimation | 22,213 | | Date of Issue | 2023-09-07 | | Date of Implementation | 2024-04-01 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 42381.62-2023: Data quality - Part 62: Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment
---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 25.040.40
CCSN10
National Standards of People's Republic of China
Data Quality Part 62.Data Quality Management.
Organizational Process Maturity Assessment. Process Assessment
Application of relevant standards
(ISO 8000-62.2018,IDT)
Published on 2023-09-07
2024-04-01 Implementation
State Administration for Market Regulation
Released by the National Standardization Administration Committee
Table of contents
PrefaceⅠ
Introduction II
1 Scope 1
2 Normative reference documents 1
3 Terms and Definitions 1
4 Assessing organizational data quality management maturity2
4.1 Purpose of determining organizational process maturity levels 2
4.2 Process capability level and process attributes 2
4.3 Process attributes and process capability ratings3
4.4 Organizational Data Quality Management Maturity Scale 4
4.4.1 General 4
4.4.2 Maturity Level 0.Immature 4
4.4.3 Level 1 Maturity. Initial Level 4
4.4.4 Maturity Level 2.Managed Level 5
4.4.5 Maturity Level 3.Level 5 Established
4.4.6 Maturity Level 4.Predictability Level 5
4.4.7 Maturity Level 5.Innovation Level 5
4.5 Deriving an organizational process maturity rating from the process overview5
4.5.1 Rules for deriving an organization’s process maturity rating5
4.5.2 Level 1 Maturity. Initial Level 7
4.5.3 Maturity Level 2.Managed Level 7
4.5.4 Maturity Level 3.Level 7 Established
4.5.5 Maturity Level 4.Predictability Level 7
4.5.6 Level 5 Maturity. Innovation Level 8
4.6 Assessment activities 9
4.7 Roles, Responsibilities and Competencies9
4.8 Evaluate input 10
4.9 Evaluate output10
Appendix A (Informative) Document Identification 11
Appendix B (informative) Abbreviation labels for each process in the process reference model 12
Appendix C (informative) Example of assessment of organizational data quality management maturity level 13
Reference 16
Foreword
This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents"
Drafting.
This document is Part 62 of GB/T 42381 "Data Quality". GB/T 42381 has released the following parts.
---Part 8.Information and data quality. Concepts and measurements;
---Part 61.Data Quality Management. Process Reference Model;
---Part 62.Data quality management. Organizational process maturity assessment. Application of relevant standards for process assessment;
---Part 63.Data quality management. process measurement;
---Part 120.Master data. Characteristic data exchange. Traceability;
---Part 130.Master data. Characteristic data exchange. Accuracy;
---Part 140.Master data. Characteristic data exchange. Integrity.
This document is equivalent to ISO 8000-62.2018 "Data Quality Part 62.Data Quality Management. Organizational Process Maturity Assessment.
Application of relevant standards for process assessment".
Please note that some content in this document may be subject to patents. The publisher of this document assumes no responsibility for identifying patents.
This document is proposed by China Machinery Industry Federation.
This document is under the jurisdiction of the National Automation System and Integration Standardization Technical Committee (SAC/TC159).
This document was drafted by. China Institute of Standardization, Shanxi Yangmei Chemical Machinery (Group) Co., Ltd., Puhua Xunguang (Beijing) Technology Co., Ltd.
Co., Ltd., Noli Intelligent Equipment Co., Ltd., Nanjing Panda Electronic Equipment Co., Ltd., Tianneng Saft Energy Co., Ltd., Hesheng
Silicon Industry Co., Ltd., Nantong Datong Baofu Fan Co., Ltd., Zhejiang Data Management Co., Ltd., Guangdong Xinguang Intelligent System Co., Ltd.
Company, Renmin University of China, Hangzhou Shenhao Technology Co., Ltd., Chongqing Hanli Machinery Manufacturing Co., Ltd., Liaoning Chunguang Pharmaceutical Equipment Co., Ltd.
Co., Ltd., Hangzhou Tunan Electronics Co., Ltd., Liaocheng Detong Transportation Equipment Manufacturing Co., Ltd., University of Nottingham Ningbo, Shandong Tongyuanke
Technology Co., Ltd., Guangdong Hengxin Intelligent Equipment Co., Ltd., Wuhu Tianhang Equipment Technology Co., Ltd., Tongkun Group Co., Ltd., Tianhang
Shuitianguang Semiconductor Co., Ltd., Henan Xin'anli Security Technology Co., Ltd., and Shenzhen Pengrui Information Technology Co., Ltd.
The main drafters of this document. Wang Zhiqiang, Xu Kaicheng, Yang Qinghai, Li Guangmin, Xian Yunchang, Li Jieru, Zhong Suoming, Xiong Junjie, Zhang Renbai,
Hao Han, Cui Xiaojian, Wu Haiteng, An Xiaomi, Wang Lei, Liang Lipeng, Luo Yong, Chen Longbin, Lei Bo, Bi Chunguang, Hua Xiuping, Pan Yong, Wen Bo, Xu Lizuan,
Li Kefeng, Huang An'an, Fu Mingtao, Xu Kaisong, Xu Yanhui, Lu Yu, Yang Yaodang, Yue Gaofeng, Gao Liang, Wen Na, Zhang Weiqun, Luo Renhu.
Introduction
Create, collect, store, maintain, transmit, process and present information and data to support business processes in a timely and cost-effective manner, which requires solving
Determine the relevant characteristics of information and data quality, and also need to measure, manage and report information and data quality.
GB/T 42381 defines the relevant characteristics that determine information and data quality, and provides methods for managing, measuring, and improving information and data quality.
Methods. These given methods can be used to assess the quality of information and data. Expectations and needs for a given approach oriented towards the current business case
Making cuts is also important.
GB/T 42381 includes parts that apply to all data types, as well as parts that apply to specific data types. GB/T 42381 both
It can be used independently or in conjunction with a quality management system.
GB/T 42381 "Data Quality" is intended to be composed of the following series.
---Part 1~Part 99.Overview of data quality. This series gives the structure of the data quality standard series, which covers
It covers basic concepts, data quality management, data quality assessment and other comprehensive contents.
---Part 100~Part.199.Master data quality. Master data describes individuals, organizations, locations, items, services, processes, rules and
standard. This family of standards describes the characteristics that define the quality of master data. These features include. semantics, grammatical encoding, consistency of requirements
integrity, data provenance, accuracy, completeness and data governance. This series of standards specifies some master data information that is used in the overall
to ensure the reliability of data communication between the information sender and the receiver.
---Part.200~Part 299.Transaction data quality. Transaction data describes time events, including individuals, organizations, locations, items,
Services, processes, rules and standards. This family of standards describes the characteristics that define transactional data quality. These features include. semantics, language
Legal coding, consistency of requirements, data provenance, accuracy, completeness and data governance. This series of standards specifies some business matters
Service data information, which generally ensures the reliability of data communication between the information sender and the receiver.
---Part 300~Part 399.Product data quality. Product data quality is a measure of the correctness and applicability of product data. Product
Data can ensure that the data can be provided to users who need the data in a timely manner. Product data is the data needed for products from concept to manufacturing.
according to. Therefore, products include not only computer-aided design (CAD) data, but also computer-aided manufacturing (CAM), computing
Data engineering (CAE) data, product data management (PDM) data, and other types of data. The main purpose of this series of standards
The picture is to improve the efficiency of coordinated product development by reducing duplication of work on the data receiving end.
GB/T 42381 "Data Quality" is intended to consist of the following parts.
---Part 1.Overview. The purpose is to explain the scope and structure of GB/T 42381 (all parts), and to explain GB/T 42381
Relationship to other standards.
---Part 2.Terminology. The purpose is to provide terminology and vocabulary used in GB/T 42381 (all parts).
---Part 8.Information and data quality. Concepts and measurements. The purpose is to illustrate the measurement when performed in quality management processes and systems
Prerequisites for information and data quality.
---Part 51.Data Governance. Policy Statement for Data Exchange. The purpose is to support data governance policy statement exchange and automated testing.
Test whether the data set meets the requirements of the policy statement.
---Part 61.Data Quality Management. Process Reference Model. The purpose is to describe the model's ability to support assessment and improvement processes.
capabilities and improve the organization's maturity in data quality management.
---Part 62.Data quality management. Organizational process maturity assessment. Application of relevant standards for process assessment. The purpose is to describe the group
How organizations use the maturity model to assess the maturity of their processes related to data quality management specified in GB/T 42381.61.
---Part 63.Data quality management. process measurement. The purpose is to specify a process suitable for use when assessing process maturity.
process measurement method.
---Part 65.Data quality management. Process measurement scales. The aim is to establish a simple measurement method to evaluate organizational
Implementation of data quality management.
---Part 66.Data quality management. Evaluation indicators for data processing in production operations management. The purpose is to identify the factors that arise in a manufacturing organization
Process maturity for data quality management of production operations management data.
---Part 81.Data Quality Assessment. Data Collection. The purpose is to apply analytical techniques to the element analysis of data in practical use.
analysis method.
---Part 82.Data Quality Assessment. Creating Data Rules. The purpose is to specify how different data rules apply to various classes
type of data.
---Part 100.Master Data. Characteristic Data Exchange. Overview. The purpose is to provide an introduction to master data, the data architecture of master data, and high-level
level data model and a description of each part in the group.
---Part 110.Master data. Characteristic data exchange. syntax, semantic encoding and conformance to data specifications. The purpose is to provide
Requirements that computers can check to exchange master data consisting of characteristic data.
---Part 115.Master data. Quality identifier exchange. Syntax, semantics and parsing requirements. The purpose is to provide components for the exchange of master data
Requirements for identifiers of various parts.
---Part 116.Master data. Quality identifier exchange. Application of ISO 8000-115 authorized entity identifiers. The purpose is to express
Authorized Legal Entity Identifier (ALEI) requirements.
---Part 120.Master data. Characteristic data exchange. Traceability. The purpose is to describe the source of master data consisting of characteristic data
Requirements for the presentation and exchange of information.
---Part 130.Master data. Characteristic data exchange. Accuracy. The purpose is to provide an accurate view of the master data consisting of characteristic data
Sexual expressions and requirements for the exchange of information.
---Part 140.Master data. Characteristic data exchange. Integrity. The purpose is to provide a complete view of the master data consisting of characteristic data
Representation and exchange of sexual information.
---Part 150.Master Data. Quality Management Framework. The purpose is to provide groups with appropriate roles and responsibilities for data quality management.
Key considerations for weaving.
---Part 210.Sensor data. Data quality characteristics. The aim is to provide a qualitative characterization of the discrete data recorded by the sensor.
---Part 311.Product Data Quality (PDQ-S) Application Guide for Shape. The purpose is to analyze product data about shape
Guidance is provided on the application of quality (PDQ-S).
This document is Part 62 of GB/T 42381 "Data Quality", which can be used alone or in combination with other parts.
This document only corrects data nonconformities, and the improvement in data quality is limited because the nonconformities will reoccur. However, through data quality
The process tracks and corrects the root causes of unqualified data and related data, which can prevent the recurrence of similar data unqualified. Therefore, a
A process-centric data quality management framework to improve data quality more effectively and efficiently. In addition, through the process of evaluation and change
Improve data quality by assessing underperforming processes identified during the assessment. This document can be used by organizations to evaluate their data quality management processes.
Maturity determines the maturity model to use. Evaluation requires the use of evaluation indicators, determined by the measurement stack specified in GB/T 42381.63
Such indicators.
This document is intended for use by actors who benefit from information or data quality, focusing on one or more information issues between and within organizations.
information system, running through all stages of the data life cycle.
Appendix A provides an identifier that can be used to unambiguously identify this document in open information systems.
Data Quality Part 62.Data Quality Management.
Organizational Process Maturity Assessment. Process Assessment Related
Standard application
1 Scope
This document specifies specific elements of the maturity model. These elements comply with ISO /IEC 33004.
Each organization can use these elements in conjunction with its own assessment metrics to determine data quality management compliance with ISO 8000-61.
The maturity level of the management process.
The scope of this document includes.
---Assess several elements of the organizational process maturity model;
---Identify elements in other documents (process capability levels, process attributes, advanced scales for measuring process attributes, and process attributes from
Scheme for deriving process capability levels in ratings);
---Details the six maturity levels and process overview to indicate when each organization reaches each maturity level;
---Guide organizations to conduct maturity level assessments.
The scope of this document does not include methods or procedures for improving organizational maturity.
This document can be used by the organization itself or by another party (including certification bodies) to assess maturity.
This document can be used alone or in conjunction with quality management system standards.
2 Normative reference documents
The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, the dated quotations
For undated referenced documents, only the version corresponding to that date applies to this document; for undated referenced documents, the latest version (including all amendments) applies to
this document.
ISO 8000-2 Dataquality-Part 2.Vocabulary
ISO 8000-61 Data Quality Part 61.Data Quality Management. Process Reference Model (Dataquality-Part 61.Data
Note. GB/T 42381.61-2023 Data Quality Part 61.Data Quality Management. Process Reference Model (ISO 8000-61.2016, IDT)
ISO /IEC 33004.2015 Information technology process assessment Requirements for process reference, process assessment and maturity models (Informa-
andmaturitymodels)
3 Terms and definitions
The terms and definitions defined in ISO 8000-2 and ISO /IEC 33001 apply to this document.
Tips & Frequently Asked Questions:Question 1: How long will the true-PDF of GB/T 42381.62-2023_English be delivered?Answer: Upon your order, we will start to translate GB/T 42381.62-2023_English as soon as possible, and keep you informed of the progress. The lead time is typically 2 ~ 4 working days. The lengthier the document the longer the lead time. Question 2: Can I share the purchased PDF of GB/T 42381.62-2023_English with my colleagues?Answer: Yes. The purchased PDF of GB/T 42381.62-2023_English will be deemed to be sold to your employer/organization who actually pays for it, including your colleagues and your employer's intranet. Question 3: Does the price include tax/VAT?Answer: Yes. Our tax invoice, downloaded/delivered in 9 seconds, includes all tax/VAT and complies with 100+ countries' tax regulations (tax exempted in 100+ countries) -- See Avoidance of Double Taxation Agreements (DTAs): List of DTAs signed between Singapore and 100+ countriesQuestion 4: Do you accept my currency other than USD?Answer: Yes. If you need your currency to be printed on the invoice, please write an email to [email protected]. In 2 working-hours, we will create a special link for you to pay in any currencies. Otherwise, follow the normal steps: Add to Cart -- Checkout -- Select your currency to pay.
|