Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (8): 114-119.

Previous Articles     Next Articles

Data quality assessment architecture research based on metadata-driven

HUANG Gang1, YUAN Man1, WU Xiuying2, CONG Huigang1   

  1. 1.School of Computer & Information Technology, Northeast University of Petroleum, Daqing, Heilongjiang 163318, China
    2.IT Center, Petrochina Daqing Petrochiemical Company, Daqing, Heilongjiang 163319, China
  • Online:2013-04-15 Published:2013-04-15

元数据驱动的数据质量评估体系架构研究

黄  刚1,袁  满1,吴秀英2,丛慧刚1   

  1. 1.东北石油大学 计算机与信息技术学院,黑龙江 大庆 163318
    2.中国石油大庆石化公司 信息技术中心,黑龙江 大庆 163319

Abstract: So far there have never been systematic evaluation criteria and entire assessment and evaluation system in data quality internationally. Based on the research on relative content of data quality both international and domestic, the data quality that the large enterprise needs is analyzed in this thesis. A frame structure of data quality meta-model is presented in this paper. In addition, this paper also designs an evaluation system. The system includes the classification and definition of data quality, the algorithm in evaluation index and the system and process of data quality evaluation. This paper provides credibility basis for enterprises in evaluation of data quality.

Key words: meta-data, data quality analysis, data quality assessment

摘要: 到目前为止,国际上既没有形成系统化的数据质量评估标准,也没有建立完整的数据质量评估体系。通过对国际和国内数据质量相关内容的研究,分析了大型企业对数据质量的需求,提出了一个数据质量元模型框架结构,构建了数据质量评估体系。该体系包括数据质量的分类和定义、数据质量评估指标算法和数据质量评估体系及流程,为企业对数据质量进行评估提供了可靠的依据。

关键词: 元数据, 数据质量分析, 数据质量评估