数据质量问题是企业信息化过程中面临的一项重要挑战,但针对数据质量评估的研究还缺乏足够的重视.文中从数据质量定义出发,阐述了数据质量的各个不同维度及其评估指标的确定,在对比分析已有成果的基础上给出了主观、客观两种评估方法,通过引入SOA上下文的可重用服务思想,设计了一种数据质量评估的服务框架,基于该框架对输入输出、流程管理、自动化评估等服务进行了阐述,并使用Web Services服务组件的形式实现了所有的功能需求.%The data quality problem is an important challenge in the process of enterprise informatization, but the study for data quality evaluation still lacks enough attention. Starting from the definition of data quality in this paper, the definitions of different dimensions of data quality are expounded, and the identification of subjective and objective evaluation methods are provided, then a kind of ideal data quality evaluation model is designed by embracing capabilities within the context of SOA,design a kind of data quality assessment service framework, based on the framework of input and output, process management, automated evaluation is discussed, and the use of Web Services have identified service component function of form all the needs. Finally, a further research direction is given.
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