Master data definition and the privacy classification in government agencies: Case studies of local government

Haneem, F. and Kama, N. and Azmi, A. and Azizan, A. and Sam, S. M. and Yusop, O. and Abas, H. (2017) Master data definition and the privacy classification in government agencies: Case studies of local government. Advanced Science Letters, 23 (6). pp. 5094-5097. ISSN 1936-6612

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Abstract

The Master Data Management (MDM) empowers government agencies to consolidate and integrate multiple master data sources to a single source of truth. With MDM, the master data from different agencies that are valuable across agencies, applications and services will be identified and managed in a central repository as a high quality enterprise master data. However, the MDM establishment usually hindered by a data policy where most of the government agencies are reluctant to share their master data due to widespread privacy concerns. Hence, this study aims to define master data and its privacy classification in each government agencies by using a qualitative and quantitative data analysis approach. It involves participative case studies from seven (7) Malaysia’s local government agencies. The study identifies 36 sets of master data which generally grouped into three domains which are; (1) customers’ profile, (2) services and products, and (3) service providers’ profile. From these master datasets, 20 datasets (56%) are classified as open data. The result indicates that the government agency has a high potential to share these open master data to the centralized MDM platform with no worry of the privacy issues. This study presents a significant contribution to the MDM research area by clarifying master data definition and its privacy classification in government agencies.

Item Type:Article
Uncontrolled Keywords:Data management, Government agencies, Master data, Master Data Management (MDM), Open data
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD30.2 Knowledge management
H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Decision support systems
Divisions:Advanced Informatics School
ID Code:75280
Deposited By: Fazli Masari
Deposited On:27 Mar 2018 14:08
Last Modified:27 Mar 2018 14:08

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