Big data framework to evaluate and analyse National Covid-19 Immunization Programmed (NCIP) in Malaysia: a comparative study

Muhamad Ibrahim, Najhan and Ismail, Amelia Ritahani (2023) Big data framework to evaluate and analyse National Covid-19 Immunization Programmed (NCIP) in Malaysia: a comparative study. Journal of Engineering Science and Technology, 18 (1). pp. 783-791. ISSN 1823-4690

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Abstract

Many governments around the world have launched their open government data (OGD) portal to improve the government’s transparency by sharing their data with the public such as National Covid-19 Immunization Pro-grammed (NCIP), which has been published at https://github.com/CITF-Malaysia/citf-public. However, increasing the number of datasets, data types, volume and complexity will be raised the integration issues. There-fore, it is essential to evaluate and analyses those huge amounts of these da-tasets. NCIP provides multiple data sources and datasets. These may raise the Big Data (BD) issues and pose various evaluation and analysis prob-lems to produce valuable information. To generate meaningful linked data to support the purposes of this research study, the relationship between these disparate datasets needs to be identified and construct a comprehen-sive framework. In order to understand the causes of OGD development of big data, this study involves a detailed examination and comparison of ex-isting theories and actual approaches to handle public sector open data con-cerns. According to the review, the framework was dominantly adopted over architecture, infrastructures, theoretical and conceptual framework in previous research to examine the revolution of government public accessi-ble data. According to the findings, most existing frameworks do not con-sider the demand for public open data in health such as NCPI. Previous re-search on OGD for health has a lesser number of advanced BD frameworks. In the public sector, there is still a lack of investment and use of Big Data. The findings will aid academics in doing empirical research on the revealed need, as well as offer decision-makers with a better understanding of how to leverage OGD adoption in health by taking relevant actions.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Big Data Framework, National Covid-19 Immunization Programmed, Open Government Data.
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr. Najhan Muhamad Ibrahim
Date Deposited:	09 Dec 2022 13:45
Last Modified:	02 Oct 2023 08:48
URI:	http://irep.iium.edu.my/id/eprint/100503

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