An efficient method of data quality evaluation using metadata registry

O. Hoon Choi, Jung Eun Lim, Hong Seok Na, Kwan Jae Seong, Doo Kwon Baik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2008 Advanced Software Engineering and its Applications, ASEA 2008
Pages9-12
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 Advanced Software Engineering and its Applications, ASEA 2008 - Hainan Island, China
Duration: 2008 Dec 132008 Dec 15

Other

Other2008 Advanced Software Engineering and its Applications, ASEA 2008
CountryChina
CityHainan Island
Period08/12/1308/12/15

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ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Choi, O. H., Lim, J. E., Na, H. S., Seong, K. J., & Baik, D. K. (2008). An efficient method of data quality evaluation using metadata registry. In Proceedings of the 2008 Advanced Software Engineering and its Applications, ASEA 2008 (pp. 9-12). [4721303] https://doi.org/10.1109/ASEA.2008.46