A Study on Attribute Index for Evaluation of Data Governance


KIPS Transactions on Software and Data Engineering, Vol. 6, No. 2, pp. 57-66, Feb. 2017
10.3745/KTSDE.2017.6.2.57,   PDF Download:
Keywords: Data Governance, Data Governance Evaluation, Data Quality, MANOVA
Abstract

The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT(repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.


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Cite this article
[IEEE Style]
K. Jang and W. Kim, "A Study on Attribute Index for Evaluation of Data Governance," KIPS Transactions on Software and Data Engineering, vol. 6, no. 2, pp. 57-66, 2017. DOI: 10.3745/KTSDE.2017.6.2.57.

[ACM Style]
Kyoung-Ae Jang and Woo-Je Kim. 2017. A Study on Attribute Index for Evaluation of Data Governance. KIPS Transactions on Software and Data Engineering, 6, 2, (2017), 57-66. DOI: 10.3745/KTSDE.2017.6.2.57.