T/CECC 32-2024 Active Group standards

\nT/CECC 32-2024 Data Quality Evaluation Implementation Methods

T/CECC 32-2024

Publish Date: 2024-12-06 Implement Date: 2024-12-06 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/CECC 32-2024
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Chemical industry
ICS Name: Comprehensive Application of Information Technology
Publish Date: 2024-12-06
Implement Date: 2024-12-06

Scope

Scope: This document specifies the evaluation process and data quality determination methods for conducting data quality assessments. This document is applicable to data quality assessment activities. Main technical content: This standard mainly includes the following contents: (1) Scope: This document specifies the evaluation process and data quality determination methods for conducting data quality assessments. This document is applicable to data quality assessment activities. (2) Normative reference documents: The contents of the following documents are essential provisions of this document through normative reference in the text. Among them, the reference documents with dates are only applicable to this document in the version corresponding to the date. The reference documents without dates are applicable to this document in the latest version (including all amendment sheets). T/CECC XXX—2024 Data Quality Assessment — Indicator System — Part 1: General Indicator Requirements (3) Terms and definitions: This document provides the terms and definitions that need to be defined. (4) Evaluation process: The evaluation process specified in this document includes the preparation stage, the implementation stage, and the conclusion stage. Among them, the work in the preparation stage includes accepting the evaluation application, forming the evaluation team, confirming the evaluation data, pre-evaluation, clarifying business requirements, and analyzing standards and regulations; the work in the implementation stage includes plan formulation, evaluation methods, evaluation approaches, evaluation tools, indicator determination, and indicator weighting; the conclusion stage includes quality analysis and quality improvement. (5) Data quality determination methods: This section provides the calculation and determination methods of the data quality score. The data quality assessment results can be confirmed according to the corresponding table of data quality level

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