RB/T 025.3-2019Specifications for information technology and services of certification and accreditation supporting trade facilitation -- Part 3: Data quality control (English PDF)

Foreword

RB/T 025 "Certification and Accreditation Supporting Trade Facilitation Information Technology and Service Specifications" is divided into 5 parts.

--- Part 1. Basic rules;

--- Part 2. Data crowdfunding;

--- Part 3. Data quality control;

--- Part 4. Information sharing;

--- Part 5. Information services.

This section is Part 3 of RB/T 025.

This standard was drafted in accordance with the rules given in GB/T 1.1-2009.

This standard is proposed and managed by the National Certification and Accreditation Administration.

This standard was drafted. Information Center of the State Administration of Market Supervision, Certification and Accreditation Technology Research Center of the State Administration of Market Supervision, Shenzhen Standard Technology Research Institute, Jiangsu Inspection and Quarantine Quality Research Center, China National Accreditation Center for Conformity Assessment, Xinjiang Uygur Autonomous Region Product Quality Institute of Quality Supervision and Inspection.

Introduction

Certification and recognition, as a technical means for the facilitation of international trade, are important for simplifying the coordination of trade procedures and accelerating the cross-border circulation of factors.

To promote.

This series of standards provides trades that use the certification and accreditation information platform as the technical carrier and crowdfunding data as the main source of certification and accreditation data.

Facilitate relevant requirements for information technology and services, and propose data crowdfunding, data quality control, information sharing, and information service specifications, which are beneficial to Government, enterprises, individuals and other trade-related parties have continuously obtained certification information, which has facilitated trade and effectively reduced platform operation and maintenance.

cost.

Cleanse data and improve data quality through data quality control principles, data quality control rules and data quality control requirements, Realize the conversion of data from certification to accreditation of crowdfunding sources, and provide technical support for trade facilitation information sharing and information services.

Certification and Accreditation Support Trade Facilitation Information Technology and Service Specification Part 3. Data Quality Control

1 Scope

This part of RB/T 025 specifies the principles for certification and accreditation to support data quality control in the information technology and service specifications for trade facilitation.

Then, as well as data verification, data quality classification, data verification and other requirements.

This section applies to the quality of data in certification and accreditation trade facilitation information sharing and service activities where crowdfunding data is the main source control.

2 Normative references

The following documents are essential for the application of this document. For dated references, only the dated version applies to this article Pieces. For undated references, the latest version (including all amendments) applies to this document.

RB/T 025.1-2019 Certification and Accreditation Supporting Trade Facilitation Information Technology and Service Specifications Part 1. Basic Rules

3 Terms and definitions

The terms and definitions defined in RB/T 025.1 and the following apply to this document. For ease of use, the following is repeated Some terms and definitions in RB/T 025.1.

Dataqualitycontrol

By monitoring the data storage, access, execution and optimization of the data structure, the control process to meet the data quality requirements.

[RB/T 025-2019.1,3.11] 3.2 Data verification in the process of receiving, transmitting and storing data, a comparison is made between the data and the preset rules and a verification result is given.

operating.

Data quality grading the data quality is classified according to the verification result of the data, so as to facilitate the subsequent management and application of the data.

Data check

Conduct regular re-examinations of the quality of the received data.

4 Data quality control principles