An Efficient Method of Data Quality Evaluation Using Metadata Registry

Abstract

This paper proposes MDRDP (Metadata Registry based on Data Profiling) to minimize the time and human resource for analyzing and extracting metadata as criteria standard for data profiling. MDRDP is based on MDR (Metadata Registry) which is used for an international standard of standardizing and managing metadata for information sharing in various fields. By MDRDP, we can evaluate data quality with authorize metadata using methodology of data profiling. MDR can guarantee the quality of metadata so that results of quality evaluation would improve.