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Specification for international trade business process - Data pipeline carrier - Data exchange structure
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Basic data
| Standard ID | GB/T 43791-2024 (GB/T43791-2024) |
| Description (Translated English) | Specification for international trade business process - Data pipeline carrier - Data exchange structure |
| Sector / Industry | National Standard (Recommended) |
| Classification of Chinese Standard | A02 |
| Classification of International Standard | 03.100.01 |
| Word Count Estimation | 26,259 |
| Date of Issue | 2024-03-15 |
| Date of Implementation | 2024-07-01 |
| Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration |
GB/T 43791-2024: Specification for international trade business process - Data pipeline carrier - Data exchange structure
---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 03.100.01
CCSA02
National Standards of People's Republic of China
International trade business process specifications
Data pipeline carrier data exchange architecture
Released on 2024-03-15
2024-07-01 Implementation
State Administration for Market Regulation
The National Standardization Administration issued
Table of Contents
Preface III
Introduction IV
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Overview 1
5 Pipeline vector construction 2
6 Related business requirements 3
Appendix A (Informative) Data Path Point 14
References 19
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 Electronic Business Standardization (SAC/TC83).
The main drafting units of this document are. Shenzhen Kunxin International Freight Forwarding Co., Ltd., Guangzhou Amantai Industry and Trade Co., Ltd., Xiamen Denghan International
International Ship Management Co., Ltd., Tiancheng Shengye (Wuhan) Shipping Technology Co., Ltd., Quzhou Xinmao Machinery Equipment Co., Ltd., Zhengzhou Kuritexin
Information Technology Co., Ltd., Chengdu Xintong Information Technology Co., Ltd., Jiangxi Zhanda International Business Co., Ltd., Zhejiang Yijingtong E-commerce Co., Ltd.
Company, Beijing Zhongbiao Zongheng Standard Technology Co., Ltd., Shanghai Xinlinghang Supply Chain Management Co., Ltd., Xinjiang Huanya Hengtong International Freight Forwarding
Co., Ltd., China National Institute of Standardization, National Customs Information Center (National Customs Electronic Clearance Center), Ministry of Transport Highway Science Research Institute
Institute, the Third Research Institute of the Ministry of Public Security, the International Freight Forwarding Branch of the China Federation of Logistics and Purchasing, Wuhan Zhongtie Yitong Logistics Co., Ltd., Fujian University of Technology
University.
The main drafters of this document are. Lin Zhong, Zhang Yinfen, Wang Xiang, Sui Yuan, Lin Ting, Yao Shuhong, Su Yi, Mei Guanglei, Guo Jiangzhu, Jin Xufeng, Tang Hui,
Zhu Tong, Kang Shuchun, Cui Xiaoqian, Yang Kangkang, Liu Chang, Ruan Hang, Hu Sufang, Yu Huizhu, Huang Shu, Zhou Yi, Wang Zhimin.
Introduction
0.1 Background and significance
With the booming development of e-commerce, the increasing degree of intelligent transportation and logistics automation, as well as the prediction of artificial intelligence (AI) and big data,
With the progress in predictive analysis capabilities, the amount of data generated by industry applications has exploded. At the same time, the data platform architecture is becoming more and more
Therefore, the requirements for the quality, timeliness and accuracy of global supply chain data have become an indispensable standard in the field of trade logistics.
Require.
Currently, supply chain data flows are still built around traditional paper document processes, which cannot provide accurate, timely and authentic data.
In order to meet the requirements of different government agencies and related business areas, supply chain data flows are often repeated in the process of sharing with various parties.
This leads to a lack of accurate and complete information in trade data.
Consider where this information may go or be used for other purposes beyond the original recipient. Furthermore, paperless initiatives in all modes of transport have not yet been
In short, lack of trust in data is hindering global trade facilitation and supply chain authenticity.
The process of digitalization is in progress.
As an interconnected infrastructure for information sharing, the data pipeline environment provides end-to-end efficiency, enabling higher quality data,
These characteristics make data pipelines indispensable for enterprise data analysis, and this efficient process is also a key factor in data-driven
Without data pipelines, these processes require numerous time-consuming and tedious manual steps and data
The larger the data set and the more sources involved, the more likely it is that errors will occur, and there will be more errors overall.
The widespread application and promotion of new generation information and communication technologies represented by big data, cloud computing, 5G networks, and artificial intelligence in my country has
It promotes the integration of industries across borders and promotes deep integration within the industry, which also provides a broad application for data pipelines.
This document refers to the UN/CEFACT Business Requirements Specification Data Pipeline Carrier
Pipeline Data Exchange Architecture" was formulated based on my country's foreign standard conversion regulations and current actual needs.
0.2 Concepts and Principles
The concept of data pipeline is that data from its source only needs to be provided once at the beginning and can be used multiple times throughout the supply chain.
It is not restricted by any transmission mode, participant or regulator, and no longer relies on data re-entered by other participants.
That is, when information is injected into the pipeline ("input waypoint") or extracted from the pipeline ("output waypoint"), the information is routed around the path.
Waypoints are common to all modes of transportation. Various events occur during cargo handling and transportation.
These events may be "input waypoints" or "output waypoints", or both. These waypoints may trigger the
Important events related to transportation services, such as payment, triggering the transfer of ownership of goods or changes in delivery responsibilities, can also be used by those who need to access such
The data contained in the pipeline can be pushed or pulled by authorized executors.
Method to extract.
In the data pipeline concept, two major working principles can be applied. The first is to capture data from the right people at the right time and in the right place.
Data, secondly, is captured once and used multiple times in the supply chain.
Capturing data at the source or as close to the source as possible is a key principle of pipeline data carriers. Data captured from the information source can be more certain.
The information provided at this point in the process is correct. Therefore, the executor (the right person) who provided the data at the source (the right place)
Accessing data from its source rather than from a remote location can improve data quality and provide reliable and detailed data elements for pipeline data exchange architecture.
Capturing critical information later in the supply chain eliminates the need to rely on data re-entered by other actors, thus eliminating the risk of erroneous data or errors.
Because data is entered earlier, it can be included in the data integration sent to cross-border institutions, making the data more available.
Logistics and business planning and organization can also benefit from improved efficiency (at the right time).
In addition, once a data element is included in the pipeline data exchange structure, it does not need to be re-entered. This reflects the GB/T 36597 and
Single Window for Sharing Electronic Data as defined in UN/CEFACT Recommendation No. 33 “Recommendations and Guidelines for the Establishment of a Single Window”
Principle. Data re-entry is dedicated to data elements that have changed or require correction. The pipeline data exchange architecture enables multiple cross-border agencies to use
data elements, thus avoiding the need to resubmit data for each institution. For some types of data, participants (such as buyers and sellers) can
Use external trusted data sources to provide certainty.
International trade business process specifications
Data pipeline carrier data exchange architecture
1 Scope
This document provides an overview of the pipeline data exchange architecture in the international trade logistics business process (scenario introduction and business association background).
It also specifies requirements for pipeline carrier construction and business models.
This document applies to administrative services related to cross-border trade and transport operations, information exchange between business entities, and also applies to digital supply
The construction, development and operation of the supply chain management service platform.
2 Normative references
The contents of the following documents constitute the essential clauses of this document through normative references in this document.
For referenced documents without a date, only the version corresponding to that date applies to this document; for referenced documents without a date, the latest version (including all amendments) applies to
This document.
GB/T 18811 Basic Terms of Electronic Commerce
GB/T 42723 International trade business process specification Electronic international road freight transport consignment note
3 Terms and definitions
The terms and definitions defined in GB/T 18811 and the following apply to this document.
3.1
data pipelines
The interconnected infrastructure for information sharing is used to automatically process and transmit data, which can improve end-to-end efficiency and achieve higher quality.
Data, supply chain visibility and information sharing.
Note. A data pipeline is an end-to-end process of ingesting, processing, preparing, transforming, and enriching structured, unstructured, and semi-structured data in a controlled manner.
3.2
Waypoint
Events that occur at critical points in a process.
4 Overview
4.1 Business Scope and Path Points
The scope of the Data Pipeline project is to standardize and coordinate the communication between multiple actors in the supply chain (either directly in a data pipeline or in the corresponding
Messages related to cross-border cargo transactions by any mode of transport exchanged between data pipelines.
Data pipelines work by delivering high-quality data from trusted sources to data demanders as early as possible.
Data pipelines can be used in conjunction with documents, but prioritize process-driven data exchange.
...
