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GB/T 45994-2025Information technology — Big data — Reference model for trusted cross-domain data sharing (English PDF)

信息技术 大数据 跨域数据可信共享参考架构

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

August 1, 2025

Implementation date

February 1, 2026

Scope

GB/T 45994-2025 is the English-translated version of 信息技术 大数据 跨域数据可信共享参考架构.

GB/T 45994-2025 is the Chinese national standard covering sharing data between organisations that do not share a security boundary — the reference architecture and its three roles, the provider with its data resource, semantic, directory and service layers and its security and privacy protection, the user with its service interconnection and its controls on permitted use, and the intermediary that performs the cross-domain alignment, control, computing and search on which the trust between the other two rests. First edition, in force from 1 February 2026. Issued on 1 August 2025, it has been in force since 1 February 2026.

Document preview — GB/T 45994-2025

National Standard of the People's Republic of China

ICS
35.240
Classification
L 70

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

Contents

  • PrefaceIII
  • 1 Scope1
  • 2 Normative references1
  • 3 Terms and Definitions1
  • 4 Abbreviations2
  • 5 Reference Architecture3
  • 6 Data User Functional Requirements3
  • 6.1 Overview3
  • 6.2 Data Service Interconnection4
  • 6.3 Safety Use Control4
  • 7 Data Provider Functional Requirements4
  • 7.1 Overview4
  • 7.2 Data Sharing Service Layer5
  • 7.3 Data Sharing Directory Layer5
  • 7.4 Semantic Representation and Association Layer6
  • 7.5 Data Resource Layer6
  • 7.6 Data Security and Privacy Protection6
  • 8 Data Intermediary Functional Requirements7
  • 8.1 Overview7
  • 8.2 Cross-domain services8
  • 8.3 Cross-domain alignment8
  • 8.4 Cross-domain Control9
  • 8.5 Cross-Domain Computing10
  • 8.6 Cross-domain search10
  • Reference11

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 and coordinated by the National Technical Committee for Information Technology Standardization (SAC/TC28).

This document was drafted by: Renmin University of China, China Electronics Technology Standardization Institute, Ant Group Co., Ltd., Beijing Big Data Center, China Electronics Data Industry Group Co., Ltd., Kunlun Digital Intelligence Technology Co., Ltd., National Information Center, Beijing Big Data Advanced Technology Research Institute, Xiamen Meiya Pico Information Security Research Institute Co., Ltd., Huawei Cloud Computing Technology Co., Ltd., Peking University, Tsinghua University, JD City (Beijing) Digital Technology Co., Ltd., Guizhou University, China Unicom Data Intelligence Co., Ltd., China Electronics Science and Technology Big Data Research Institute Co., Ltd., Beijing Institute of Technology, China Mobile Communications Corporation Research Institute, China Railway Construction Corporation Limited, Fujian Xingyun Big Data Application Service Co., Ltd.

Co., Ltd., Henan Zhongshi Xinke Cultural Industry Co., Ltd., Jiangsu Electric Power Information Technology Co., Ltd., Inspur Cloud Information Technology Co., Ltd., China Economic Digital Finance (Dalian) Innovation Technology Co., Ltd. and Mashang Consumer Finance Co., Ltd.

The main drafters of this document are: Du Xiaoyong, Chen Jinchuan, Wang Lan, Li Hongyu, Gao Song, Dong Jian, Zhang Qun, Lu Zhipeng, Lin Xiufeng, Si Hongwei, Yang Jingru, Huang Rongchang, Zhao Lili, Liu Xinzhe, Liu Shixia, Zhang Junbo, Li Hui, Lu Wei, Wang Weizhong, Zhang Xiaomeng, Zheng Xi, Jia Xiaofeng, Ma Ying, Wei Chao, Li Fengfeng, Liu Yi, Wu Zijian, Fan Ju, Huang Keman, Wang Xiangnan, Yi Xiuwen, Liu Chi, Cao Yang, Zhao Pengfei, Xu Ziyuan, Fang Chen, Chen Wenshan, Xia Fei, Zhang Ze, Wu Peng, Zhu Weijia, Xiao Xue, Xin Lun, Liu Shaobo, Wu Peng, Zhou Haocheng, and Li Fubao.

Information technology big data cross-domain data trust Shared Reference Architecture

1 Scope

This document establishes a reference architecture for cross-domain data trust sharing, including the functions of data providers, data users, and data intermediaries.

Requirements and trusted control requirements.

This document is intended to guide the architecture design of cross-domain data trusted sharing systems.

2 Normative references

GB/T 36344-2018

GB/T 43697-2024

3 Terms and Definitions

The following terms and definitions apply to this document.

3.1 cross-domainsharing

Scenarios where data providers and data users from multiple different control domains share data.

Note. Participants in the cross-domain data sharing process include but are not limited to data providers, data users, data intermediaries, etc.

3.2 Data provider dataprovider

The entity that provides data resources and has the right to decide other parties' access, sharing and use rights to their data.

3.3 Data user

An organization or individual that obtains and uses data through legal means based on agreements signed with data intermediaries, data providers, etc.

3.4

In cross-domain data sharing, data sharing management specifications are formulated to provide data providers and data users with service docking, data alignment and and cross-domain control and other functions to ensure the secure implementation of cross-domain data services.

3.5 electronic signature

Data contained or attached in electronic form in a data message that is used to identify the signatory and indicate that the signatory approves the content.

[Source. GB/T 25069-2022, 3.119]

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 15 pages — is available in the English PDF.

Referenced standards

Editions of GB/T 45994

EditionTitleRevisionStatus
GB/T 45994-2025Information technology - Big data - Reference model for trusted cross-domain data sharingcurrent editionCurrent

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