品牌与标准化Issue(5)：53-55,3.DOI:10.3969/j.issn.1674-4977.2024.05.016
公共数据清洗相关标准研究
Research on Standards Related to Public Data Cleaning
邵华 1高刚 2杨成实 3田歆1
作者信息
- 1. 沈阳华睿博信息技术有限公司,辽宁 沈阳 110000
- 2. 中国烟草总公司辽宁省公司,辽宁 沈阳 110000
- 3. 辽宁省大数据管理中心,辽宁 沈阳 110000
- 折叠
摘要
Abstract
In the rapidly developing era of informatization,data quality is crucial in various fields.Given that common data has multiple quality issues,the main purpose of public data cleaning is to detect and remove errors and inconsistencies in the data,in order to improve data quality.Firstly,data desensitization is an important step in ensuring the security of the data cleaning environment.Secondly,data quality management can further standardize the quality standards of data.In order to gain a deeper understanding of public data cleansing,this article will explore methods for data desensitization and standards for public data quality management.关键词
公共数据/数据清洗/数据脱敏Key words
public data/data cleaning/data desensitization引用本文复制引用
邵华,高刚,杨成实,田歆..公共数据清洗相关标准研究[J].品牌与标准化,2024,(5):53-55,3.
