T/CECC 31.1-2024 Active Group standards

T/CECC 31.1-2024 Data Quality Assessment Indicators System Part 1: General Requirements

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 31.1-2024

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 general requirements for the data quality evaluation indicator system. This document is applicable to the evaluation of data quality at all stages of the structured data lifecycle, and unstructured data can be referenced for implementation. Main technical content: This standard mainly includes the following: (1) Scope: This document specifies the data quality evaluation indicator system and provides requirements for common indicators. This document is applicable to the evaluation of data quality at all stages of the data lifecycle. (2) Normative referenced documents: The content of the following documents is an essential part of this document through normative references. Among them, the referenced documents with a specified date are applicable to this document only for the version corresponding to that date. The referenced documents without a specified date are applicable to this document for the latest version (including all amendment sheets). GB/T 5271.17—2010 Information Technology—Vocabulary—Part 17: Databases, GB/T 35295—2017 Information Technology—Big Data—Terms, GB/T 36344—2018 Information Technology—Data Quality Evaluation Indicators. (3) Terms and definitions: The terms and definitions needed to be defined in this document are provided. (4) Indicator system: The data quality evaluation indicator system includes indicators for compliance, standardization, completeness, accuracy, consistency, sharing, and timeliness, totaling seven aspects. (5) General indicator requirements: The data quality evaluation indicator system is expanded and described in detail, with provisions for data elements such as the evaluated party, databases, data tables, metadata, subject domains, concept domains, logical models, and physical models.