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GB/T 45508-2025Machine readable standards capability classification model and assessment (English PDF)

机器可读标准能力等级模型与评估

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

March 28, 2025

Implementation date

October 1, 2025

Scope

GB/T 45508-2025 is the English-translated version of 机器可读标准能力等级模型与评估.

GB/T 45508-2025 is the Chinese national standard covering how far an organisation has got in making its standards readable by machines rather than only by people — the level model and its process dimension, the capability requirements for content creation, management, delivery and application, the tagsets, information models and administration shell that carry the meaning, the collection of assessment evidence, and the judgment matrix and the scores that fix the level. First edition, under the China Machinery Industry Federation. In force from 1 October 2025. Issued on 28 March 2025, it has been in force since 1 October 2025.

Document preview — GB/T 45508-2025

National Standard of the People's Republic of China

ICS: 35.240.50
Classification: L 61

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

PrefaceIII
1 Scope1
2 Normative references1
3 Terms, definitions and abbreviations1
3.1 Terms and Definitions1
3.2 Abbreviations1
4 Machine Readable Standard Capability Level Model2
4.1 Model Framework2
4.2 Machine-readable standardization process dimension2
4.3 Machine Readability Standard Capability Level Dimension2
5 Machine Readable Standard Capabilities3
5.1 Content Creation3
5.2 Content Management4
5.3 Content Delivery6
5.4 Content Application8
6 Machine Readability Standard Capability Level Assessment Method10
6.1 Assessment evidence collection10
6.2 Grade determination method10
Reference12
Figure 1 Machine-readable standard capability level model framework2
Figure 2 Machine Readability Standard Capability Level3
Table 1 Machine readable standard capability requirements3
Table 2 Machine-readable standard capability level characteristics for content creation4
Table 3 Machine-readable standard capability level characteristics of content management5
Table 4 Machine-readable standard capability level characteristics of content delivery7
Table 5 Machine-readable standard capability level characteristics of content applications8
Table 6 Competence level and score correspondence Table10
Table 7 Judgment matrix example10
Table 8 Value basis11
Table 9 Correspondence between scores and grades11

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1: Structure and drafting rules for standardization documents" Drafting.

Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.

This document was proposed by the China Machinery Industry Federation.

This document is under the jurisdiction of the National Industrial Process Measurement, Control and Automation Standardization Technical Committee (SAC/TC124).

This document was drafted by: Mechanical Industry Instrumentation Comprehensive Technical and Economic Research Institute, Shandong Inspur Database Technology Co., Ltd., China Science and Technology Institute of Technology Information, Shanghai Institute of Quality and Standardization, China Aviation Comprehensive Technology Research Institute, Shandong Institute of Standardization, China Institute of Metrology, State Grid Shandong Electric Power Company Weihai Power Supply Company, Renmin University of China, China National Institute of Standardization, Shanghai Metrology and Measurement China Southern Power Grid Research Institute, China Energy Engineering Corporation, China Southern Power Grid Research Institute Co., Ltd., China Southern Power Grid Digital Grid Group Group Co., Ltd., Shenyang University of Technology, China Electric Power Research Institute Co., Ltd., Huawei Technologies Co., Ltd., Beijing State Grid Information and Communication Accenture Information Technology Co., Ltd., China Automotive Engineering Research Institute Co., Ltd., Shanghai Industrial Automation Instrumentation Research Institute Co., Ltd., Natural Gas Pipeline Network Group Co., Ltd., China National Institute of Science and Technology, China Quality Certification Center, China National Petroleum Corporation Engineering Materials Research Institute Co., Ltd., State Grid Liaoning Electric Power Co., Ltd., Beijing Zhixin Microelectronics Technology Co., Ltd., Zhijiang Laboratory, Wuhan Standardization Research Institute Institute, Siemens (China) Co., Ltd., China Architecture Standard Design Institute Co., Ltd., China Machinery Productivity Promotion Center Co., Ltd., Chongqing Post Radio and Television University, Yingda Media Investment Group Co., Ltd., Jingfeng Technology (Shenzhen) Co., Ltd., Shandong New Generation Standardization Research Institute Co., Ltd., Beijing Beijing Xiaomi Mobile Software Co., Ltd., Phoenix (China) Investment Co., Ltd., Schaeffler (China) Co., Ltd., Zhuzhou Guochuang Rail Technology Co., Ltd., Tongfang Knowledge Network Digital Publishing Technology Co., Ltd., Rockwell Automation (China) Co., Ltd., Beijing Shunxin Futong Big Data According to the Group Co., Ltd., Wuhan Zhongke Aquatic Ecological Environment Co., Ltd., Xihua University, Communication University of China, Qizhidao Technology Co., Ltd.

Co., Ltd., Future Equipment (Suzhou) Co., Ltd., Equipment Intelligent Computing Chip and System Application Beijing Engineering Research Center Co., Ltd., Shenyang Siasun Robot Automation Co., Ltd., Beijing University of Technology.

The main drafters of this document are: Lu Tielin, Shang Yujia, Li Ming, Wang Shuo, Yao Changqing, Ding Lu, Cai Yan, Wang Chunxi, Zhang Zhijuan, Zhang Hui, Li Xiangyu, Han Hongqi, Xiong Shaodong, Liu Weihua, Gu Xiaohong, Liu Wei, Li Yuwen, Li Wenwen, Fu Tian, Liu Xize, Sun Zhaoyang, Li Yanruoyue, An Xiaomi, Fan Zitian, Jiang Kuishu, Zhang Zhongli, Lin Zhengping, Zheng Kaihong, Zhang Xiaoling, Deng Tao, Zhou Yuzhong, Wang Di, Wang Sining, Xia Baobing, Li Nannan, Zhang Aisen, Cao Yan, Zheng Xinxin, Chen Xinyi, Yang Chao, Du Jun, Ma Jiafei, Yue Lei, Liu Yanlin, Ma Pengcheng, Wei Lai, Li Genzi, Zheng Yanrong, Huang Qingqing, Ren Junmin, Guo Kai, Gao Xiaonong, Pan Xuelong, Li Yiwen, Lei Zhangwen, Yin Qingyun, Peng Zeheng, Gao Jingmei, Jiang Tao, Yang Heng, Ye Jing, Jia Yan, Shi Lei, Feng Mingzhu, Li Yong, Zhang Feng, Li Jie, and Tian Rui.

Machine Readability Standard Capability Level Model and Assessment

1 Scope

This document specifies the capability level model and capability characteristics of machine-readable standards and describes the corresponding evaluation methods.

This document is applicable to the identification and assessment of machine readable standards capabilities, and is also applicable to the guidance of relevant Activities such as capacity building.

2 Normative references

GB/T 1.1

3 Terms, definitions and abbreviations

3.1 Terms and Definitions

The terms and definitions defined in GB/T 1.1 and the following apply to this document.

3.1.1 machine readable

Capable of being read, translated, generated, transmitted or used by a machine, software or automated system.

3.1.2 tagset

A collection of tags used for identification.

3.1.3 metamodel

A data model that specifies one or more other data models.

[Source. GB/T 18391.1-2009, 3.2.20]

3.1.4 Standard Information Model standardinformationmodel

A normalized set of data object types and their dependency relationships that have the same meaning.

NOTE. Information models are also called semantic data models.

3.1.5 Standard Administration Shell

A tool that uses a modeling approach to propose standard requirements, describe and interact with standard content.

3.2 Abbreviations

The following abbreviations apply to this document. CDD. Common Data Dictionary HTML. HyperText Markup Language

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 17 pages — is available in the English PDF.

Referenced standards

Normative references

GB/T 1.1Directives for standardization - Part 1: Rules for the structure and drafting of standardizing documents

Editions of GB/T 45508

Edition	Title	Revision	Status
GB/T 45508-2025	Machine readable standards capability classification model and assessment	current edition	Current

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