Analysis and Solution of Data Quality in Data Warehouse of Chinese Materia Medica

摘要：

The data quality problem often be ignored in the process of data warehouse construction and utilization. In order to avoid the phenomenon of garbage in, garbage out which will influence the decision-making, the problem of data quality must be paid great attention. In this paper, we took the Chinese materia medica (Cmm) data warehouse in China Academy of Chinese Medical Sciences (CACMS) as example. We analyzed the data quality problems in the process of its construction, cited the reasons for bad data quality, and gave the key elements and their relations for data quality analysis and assessment. At the end of article, we proposed a series of assessment standards and solution scheme to improve the data quality in Cmm data warehouse, and carried out in practice to prove it.

关键词： data warehouse data quality metadata

作者: Bing Chen Beizhan Wang Xuchu Weng Xueqin Hu

作者单位: Institute of AI, Xiamen University Xiamen, China Software School of Xiamen University Xiamen, China Institute of Psychology, Chinese Academy of Sciences Beijing, China China academy of Chinese medical sciences Beijing, China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 823-827

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）