GB/T 34052.1-2017 in English

VALID

Statistical data and metadata exchange--Part 1: Framework

Issued on:2017-07-31
Implemented on:2018-02-01
File Format:PDF
Delivery:Via email within 1~3 business days

Price(USD)： $250.00
$243.00

Standard No:	GB/T 34052.1-2017
Document status:	VALID
Title in English:	Statistical data and metadata exchange--Part 1: Framework
Title in Chinese:	统计数据与元数据交换（SDMX）第1部分：框架
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2017-07-31
Implemented on:	2018-02-01
ICS Classification:	03.120.30-Application of statistical methods
Chinese Classification:	L70-Information processing technology in general
Professional Classification:	GB-National Standard
Related Keywords:	metadata exchange data exchange unified data exchange platform statistical data exchange format
Related Topics:	Metadata Standards Framework Statistical data Counter 1 How to count luminous data How about the statistics Statistical data Multivariate Data Analysis number and quantity liquid count box GB/T 34052.1 GB/T 34052.1-2017

《GB/T 34052.1-2017统计数据与元数据交换（SDMX）第1部分：框架》由TC83（全国电子业务标准化技术委员会）归口，主管部门为国家标准化管理委员会。

Introduction

GB/T 34052.1—2017 Standard Overview

GB/T 34052.1—2017 is a national standard of the People's Republic of China, which mainly specifies the framework, information model, exchange format and compliance requirements of statistical data and metadata exchange (SDMX). This standard aims to improve the interoperability and automation level of data exchange in the statistical field through unified technical specifications.

Core Content of SDMX Standard Framework

Dimensions	Specific Contents	Application Scenarios
Process Mode	Includes three modes: bilateral exchange, gateway exchange and data sharing exchange.	Applicable to data collaboration and sharing between different statistical agencies.
Information model	Defines the data structure, metadata structure and related constraints.	Used to build a unified data exchange platform.
Exchange format	Supports two formats, SDMX-EDI and SDMX-ML, which are suitable for batch exchange and complex scenarios respectively.	Widely used in automated data processing systems.

Explanation of professional terms and practical application cases

Data structure definition (DSD): used to describe the structure of statistical data and its associated metadata. For example, in time series data, DSD can clearly define observations, time dimensions and measurement types.

Citation metadata: Explanatory metadata independent of statistical data, usually including data sources, quality indicators, etc. For example, when publishing economic statistics, citation metadata can help users understand the credibility and collection methods of data.

Standard Development Background and Technology Evolution Analysis

The SDMX standard was jointly developed by international organizations such as the United Nations Statistics Division (UNSD) and the Bank for International Settlements (BIS) to solve the problem of insufficient interoperability of statistical information in the context of globalization. GB/T 34052.1-2017 fully draws on the latest international version of the SDMX framework and is localized and adapted in accordance with China's national conditions.

Implementation Recommendations

To ensure the effective implementation of the SDMX standard, it is recommended that:

Use the SDMX-ML format for data exchange to support automated processing in complex scenarios.
Use the registration service to improve the efficiency and visualization of data sharing.
Establish a unified metadata management mechanism to ensure data quality and interoperability.

More samples: DL/T 5154-2012 YD/T 3934-2021 QC/T 942-2021

Sample only — not a preview of GB/T 34052.1-2017