GB/T 39400-2020 English PDF

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GB/T 39400-2020: (Industrial Data Quality General Technical Specifications)
Status: Valid

Standard ID	USD	BUY PDF	Lead-Days	Standard Title (Description)	Status
GB/T 39400-2020	299	Add to Cart	3 days	(Industrial Data Quality General Technical Specifications)	Valid

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Basic data

Standard ID: GB/T 39400-2020 (GB/T39400-2020)
Description (Translated English): (Industrial Data Quality General Technical Specifications)
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L67
Word Count Estimation: 16,160
Date of Issue: 2020-11-19
Date of Implementation: 2021-06-01
Regulation (derived from): National Standard Announcement No. 26 of 2020
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 39400-2020: (Industrial Data Quality General Technical Specifications)

---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.
(Industrial Data Quality General Technical Specifications) ICS 25.040.40 L67 National Standards of People's Republic of China General technical specifications for industrial data quality 2020-11-19 released 2021-06-01 implementation State Administration for Market Regulation Issued by the National Standardization Management Committee

Table of contents

Preface Ⅲ Introduction Ⅳ 1 Scope 1 2 Normative references 1 3 Terms and definitions 1 4 Continuous improvement of industrial data quality 2 4.1 Quality characteristics 2 4.2 Continuous improvement model 2 5 Description of Industrial Data Quality 3 5.1 Descriptive elements 3 5.2 Quantitative elements 4 5.3 Non-quantitative elements 5 6 Industrial data quality identification 5 6.1 Quantitative data quality information 5 6.2 Non-quantitative data quality information 6 7 Industrial data quality evaluation 7 7.1 Evaluation method 7 7.2 Evaluation process and steps 7 8 Industrial Data Quality Control 8 8.1 Control rules 8 8.2 Control method 9 9 Report data quality information 10 9.1 Overview 10 9.2 Data Quality Report 10 Reference 12

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. Please note that certain contents of this document may involve patents. The issuing agency of this document is not responsible for identifying these patents. This standard was proposed by China Machinery Industry Federation. This standard is under the jurisdiction of the National Automation System and Integration Standardization Technical Committee (SAC/TC159). Drafting organizations of this standard. China National Institute of Standardization, Zhejiang University, China Machinery Productivity Promotion Center, Shenzhen Peng Rui Information Technology Co., Ltd. Company, Shenzhen Huaao Data Technology Co., Ltd., Beijing Sanweitiandi Technology Co., Ltd. The main drafters of this standard. Yang Qinghai, Wang Zhiqiang, Gu Fu, Hong Yan, Pan Kanghua, Liu Shouhua, Gu Xinjian, Yue Gaofeng, Xiao Chengxiang, Zhang Weiqun, Jia Xibei, Cao Zhaohui, Xu Kaicheng, Yin Shurui.

Introduction

With the in-depth integration of informatization and industrialization, information technology has penetrated into all links of the industrial chain of industrial enterprises, and industrial enterprises have established Many computer information systems have accumulated a large amount of industrial data, and industrial data has become an important resource for industrial enterprises. At the same time, the data quality is consistent Through the generation, collection, storage, maintenance, transmission, processing and utilization of industrial data life cycle, massive amounts of industrial data exist. Data quality issues such as incomplete data, irregular data, and data errors. This standard supports the standardization of models, quality description, identification, evaluation, control, and reporting for continuous improvement of industrial data quality. Support the collaborative construction, interconnection, sharing and utilization of industrial data, and improve the quality, availability and utilization efficiency of industrial data. The implementation of this standard helps to achieve standardized management and quality assurance of industrial data. General technical specifications for industrial data quality

1 Scope

This standard specifies a model for continuous improvement of industrial data quality, as well as requirements for the description, identification, evaluation, control and reporting of industrial data quality. This standard applies to quality management in the process of industrial data collection, transmission, maintenance and use.

2 Normative references

The following documents are indispensable for the application of this document. For dated reference documents, only the dated version applies to this document. For undated references, the latest version (including all amendments) applies to this document. GB/T 19001-2016 Quality Management System Requirements

3 Terms and definitions

The following terms and definitions apply to this document. 3.1 Data quality The extent to which a set of inherent characteristics of the data meet the requirements. Note. Inherent characteristics generally refer to permanent characteristics. 3.2 Data quality management Coordinate activities to direct and control the data quality of an organization. 3.3 Quality evaluation process Operation for applying and reporting quality evaluation methods and results. 3.4 Quality measurement Evaluation of quality quantitative elements and sub-elements. 3.5 Quality results A value or a set of values obtained by data quality measurement, or an evaluation result obtained by comparing these values with a prescribed consistency quality level. 3.6 Quality range The coverage or characteristics of the data reporting quality information. 3.7 data set A collection of data that can be identified. [GB/T 33674-2017, definition 3.1] ......

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