KIPS Transactions on Software and Data Engineering (정보처리학회논문지:소프트웨어 및 데이터공학)

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Attribute Index for Evaluation of Data Governance

Data Governance 평가를 위한 속성지표 연구

  • 장경애 (서울과학기술대학교 IT정책전문대학원 산업정보시스템전공) ;
  • 김우제 (서울과학기술대학교 글로벌융합산업공학과)
  • Received : 2016.09.07
  • Accepted : 2016.10.04
  • Published : 2017.02.28
Download PDF
⟨ Previous Next ⟩

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.

데이터 거버넌스는 연구초기 단계의 영역이므로 개념정의와 구성요소 정립에 연구가 집중되어 있다. 그러나 데이터 거버넌스의 도입에 대한 의사결정을 돕기 위해서 데이터 거버넌스의 평가에 관한 연구 또한 필요하다. 본 연구는 데이터 거버넌스 프레임워크에서 데이터 거버넌스를 평가하기 위한 속성지표에 관한 연구이다. 이를 위하여 RGT와 Laddering기법을 적용하여 전문가 인터뷰를 실시하였고, 이 결과를 제3자 차원의 검증을 위해서 설문과 통계적인 검증분석을 실시하였다. 통계적인 분석에는 크론바하 알파 계수, MANOVA, 상관분석을 실시하였다. 이를 통해서 데이터 거버넌스 속성지표를 데이터 통제영역에는 8개의 속성지표, 데이터 품질영역에 16개의 속성지표, 데이터 조직영역에 7개의 속성지표를 도출하였다. 또한 AHP기법을 적용하여 속성지표의 가중치와 우선순위를 선별하였다. 이 연구결과는 데이터 거버넌스의 개념정립과 구성요소의 명확한 이해 및 기업의 거버넌스 도입과 운영의 기초자료로 활용될 것이다.

Keywords

References

  1. Kyoung-Ae Jang and Woo-Je Kim, "Components Development and Importance Weight Analysis of Data Governance," Journal of the Korean Operations Research and Management Science Society, Vol.41, No.3, pp.45-58, 2016. https://doi.org/10.7737/JKORMS.2016.41.3.045
  2. IBM, "The IBM Data Governance Council Maturity Model : Building a roadmap for effective data governance," IBM, 2007.
  3. DAMA, "The DAMA Guide to the Data Management Body of knowledge," DAMA, 2009.
  4. B. Otto, "Data Governance," Business & Information Systems Engineering, Vol.3, No.4, pp.241-244, 2011. https://doi.org/10.1007/s12599-011-0162-8
  5. OMB, Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated by Federal Agencies, Final Guidelines (corrected), 67, Fed. Reg., 8452, 2002.
  6. ISO/IEC, ISO/IEC 25012, Software engineering -Software product Quality Requirements and Evaluation (SQuaRE) - Data quality model, 2008.
  7. Korea Database Agency, "DQC-M: Data Quality Certification Management," Korea Database Agency, Seoul, 2010.
  8. Korea Database Agency, "Data Quality Management Maturity Model," Korea Database Agency, 2006.
  9. NIA, "Public Information Quality Management Manual," NIA, V1.1, 2014.
  10. Mi Young Park, "A Study on the Development of Database System Quality Assessment Model Using Analytic Hierarchy Process," The Graduate School of Seoul Women's University, pp.39-45, 2008.
  11. R. Y. Wang and D. M. Strong, "Beyond accuracy: What data quality means to data consumers," Journal of Management Information Systems, Vol.12, No.4, pp.5-33., 1996. https://doi.org/10.1080/07421222.1996.11518099
  12. ISO/IEC, ISO/IEC 25010, Systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - System and software quality models, 2011.
  13. ISO/IEC, ISO/IEC 9126, Software engineering - Product quality, 2001.
  14. SeungHee Kim, "Development of Quality Evaluation Models for Application Software by Software Life-cycle," Seoul National University of Science and Technology, pp. 148-160, 2014.
  15. Korea Database Agency, "DQC-V: Data Quality Certification Value," Korea Database Agency, 2010.
  16. Korea Database Agency, "DQC-S: Data Quality Certification Security," Korea Database Agency, 2010.
  17. NIA, "Provide of diagnostic capabilities of Big Data Models," NIA, p.4, 2014.
  18. KOSTA, "SW project cost estimate Guide (2015 edition)," KOSTA, pp.210-212, 2015.
  19. Ministry of the Interior, "Performance Reference Model 2.0," Ministry of the Interior, pp.34-52, 2009.
  20. National Information Society Agency, "A Performance Measurement Model of Public It Projects Using The Balanced Scorecard," National Information Society Agency, 2001.
  21. Kyu-hwan Lee, Sang-yoon Rhee, and Jong-soo Lee, "A Study on Organizational Culture Index of Korean Local Public Enterprise's Managers," Journal of Local Government Studies, Vo1.17, No.4, pp.117-138, 2005.
  22. G. Kelly, "The psychology of personal constructs," Vol.1. A theory of personality. Vol. 2. Clinical diagnosis and psychotherapy, Oxford, England, 1955.
  23. Jankowicz Devi, "The easy guide to repertory grids," Graduate Business School University of Luton, UK, 2004.
  24. Kyoung-Ae Jang, Ja-Hee Kim, and Woo-Je Kim, "Comparison of Data Quality Value Chain of the Contractor and the Contractee Using the RGT and Laddering Method," Journal of KIIT., Vol.14, No.4, pp.151-162, 2016.
  25. F. Huber, A. Herrmann, and S. C. Beckmann, "Affective influence on infromation processing style: A means-end analysis," ANZMAC Visionary Marketing for the 21st Century: Facing the Challenge, pp.558-562, 2000.
  26. J. Gutman, "A means-end chain model based on consumer categorization processes," Journal of Marketing, Vol. 46, No. 2, pp.60-72, 1982. https://doi.org/10.2307/3203341
  27. J. Reynolds Thomas and Gutman Jonathan, "Laddering theory, method, analysis, and interpretation," Journal of Advertising Research, Vo1.28, No.1, pp.11-31, 1988.
  28. hunyoung Lee, "The research methodology of professor hunyoung-Lee," cheongram, pp.301-395, 2012.
  29. N. C. Dalkey, "The Delphi method: An experimental study of group opinion," Rand Corporation Memorandum RM-5888-PR, 1969.
  30. G. Rowe and G. Wright, "Expert opinions in forecasting: The role of the Delphi technique in J. Armstrong(Ed.) Principles of Forecasting," Boston: Kluwer Academic, pp.125-144, 2001.
  31. Inja Ahn, "The Korean Biblia Society For Library And Information Science," Journal of the Korean Biblia Society For Library and Information Science, Vo1.16, No.2, pp.225-245, 2005.
  32. T. L. Saaty, "Decision-making with the AHP: Why is the Principal Eigenvector Necessary," European Journal of Operational Research, Vol.145, No.1, pp.85-91, 2003. https://doi.org/10.1016/S0377-2217(02)00227-8
  33. Kyoung-Ae Jang, Ja-Hee Kim, and Woo-Je Kim, "Derivation of data quality attributes and their priorities based on customer requirements," Journal of Korea Information Processing Society, Vol.4, No.12, pp.549-560, 2015.
  34. Kyoung-Ae Jang and Woo-Je Kim, "Developing and refining components in data governance framework," Journal of the Korean Institute of Information Technology, Vol.14, No.9, pp.93-108, 2016.