A Look at the Road Traveled Semantic Analysis of Data Quality Research

摘要：

In this paper, we present the results of a preliminary study that examines data quality literature to identify key themes within. We analyze the abstracts of 324 articles published in this area in the last decade. We use Latent Semantic Analysis (LSA) to analyze these abstracts to develop term-toterm semantic similarities and term-to-factor loadings. We identify six core topics in data quality research and identify the dominant themes within each. We present a reproducible method for identifying topics and themes. This method has the potential to help define the identity of data and information quality research, find the topics and themes receiving the greatest attention, and reveal trends within.

关键词： Data/Information Quality LSA DQ Research Themes DQ Research Topics Research Identity

作者: G. Shankaranarayanan Roger Blake

作者单位: Technology, Operations and Information Management, Babson College, Babson Park, Massachusetts, U. S. Management Science and Information Systems, University of Massachusetts-Boston, Boston, Massachusett

会议类型: 国际会议

会议名称: The 5th International Conference on Cooperation and Promotion of Information Resources in Science and Technology(第五届科技信息资源共享促进国际会议COINFO10)

会议地点: 北京

会议语种:英文

页码: 302-307

在线出版日期: 2010-11-27（万方平台首次上网日期，不代表论文的发表时间）