数据质量测量框架研究及领域测量框架构建
Data Quality Measurement Framework Research and Field Measurement Framework Construction
宋金玉 1陈连勇 1陈刚1
作者信息
- 1. 陆军工程大学指挥控制工程学院 南京 210007
- 折叠
摘要
为激活数据质量潜能,构建兼顾信息环境与技术实现的数据质量测量框架,以提升数据挖掘和指挥决策的效用,文中从宏观层面和微观层面对现有的通用型、行业型数据质量测量框架进行梳理、研究,对数据质量维度进行"聚类",得到数据质量维度类簇,提取了数据质量维度的两类特性,提出面向具体领域的数据质量测量框架构建准则.基于管理领域工作对数据质量的测量需求,结合构建准则构建了面向管理领域的数据质量测量框架,并明确了框架的数据质量维度、测量指标、测量方法等.
Abstract
In order to activate the potential of data quality,a data quality measurement framework that takes into account infor-mation environment and technology realization is constructed,so as to improve the effectiveness of data mining and command de-cision.At first,the existing general and industrial data quality measurement frameworks are studied from the macro and micro levels,the data quality dimension clusters are obtained by clustering the data quality dimensions,and two types of characteristics of data quality dimension are extracted.Furthermore,the construction guidelines of data quality measurement framework for spe-cific field are put forward.Finally,based on the requirements of data quality measurement in management field,the data quality measurement framework for management field(DQMFM)is constructed by combining construction guidelines.Besides,the data quality dimensions,measurement metrics and measurement methods of DQMFM are introduced.
关键词
数据质量/数据质量维度/数据质量测量/数据质量测量框架Key words
Data quality/Data quality dimension/Data quality measurement/Data quality measurement framework引用本文复制引用
出版年
2024
NETL
NSTL
万方数据