Data Governance Conceptual Model for IoT (DGCMIoT) in Flood Management: the Malaysia Perspective

Authors

  • Siti Sarah Maidin, Boung-Yew Lau Simon, Marini Othman, Aliza Abdul Latif, Mohamad Firdaus Mat Saad

DOI:

https://doi.org/10.47750/pnr.2022.13.S10.028

Abstract

Internet of Things (IoT) is seen as a promising technology that can effectively collect data through varieties of devices and sensors that are placed at every imaginable places. The analyses of the data can be used in many ways such as weather prediction and flood mitigation. The value of the data collected and used depends on how well it collected, managed and governed. Following that this paper aimed at presenting an overview of the uses of IoT in the risk reduction and mitigation of flood condition in Malaysia by doing a rigorous review on the relevant research papers. Then, a case for a good data governance for IoT-based data in the Malaysian context is made based on the desirable characteristic of: availability, usability, integrity and security of the collected data. Finally, a conceptual model mapped against the basic IoT three-layered architecture and examines the role of the system’s user, compliance, processes and tools is proposed. The conceptual model also considered several models reportedly used in other countries and strengthens by findings gathered through field study. The model can be used to further develop guide to improve decision making and transparency in managing flood disaster.

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Published

— Updated on 2022-12-26

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Articles

How to Cite

Data Governance Conceptual Model for IoT (DGCMIoT) in Flood Management: the Malaysia Perspective . (2022). Journal of Pharmaceutical Negative Results, 271-276. https://doi.org/10.47750/pnr.2022.13.S10.028