Big data value dimensions in food disaster domain

Abstract

The age is turned into Big Data which includes huge volume of data, real-time processing and complex operations. In this connection, the way to understand the world is reshaping with the growing trends of big data; enabling the handling of voluminous datasets with variety and velocity. The utility and potential of big data for natural disaster are growing, since the data volume and access to datasets are increasing rapidly. The main challenge in realizing social and commercial value of big data is that data has no value in itself, yet it becomes valuable when it is used. Therefore, the objective of this paper is to identify the different dimensions of big data value based on its usage in flood disaster domain. We find three dimensions of big data value to be classified as Natural, Social and Business. The natural aspect of flood disaster includes Climate Change analysis, Earth Observation and Remote Sensing. Social aspect focuses on interlink of flood and human society whereas Business aspect covers using data-based decision-making systems for managing flood. The different dimensions give broader view of data usage for flood disaster in big data era.