InfoMINDS: An Interdisciplinary Framework for Leveraging Data Science upon Big Data in Surface Mining Industry

Intending to be more and more data-driven, companies are leveraging data science upon big data initiatives. However, to reach a better cost-benefit, it is important for companies to understand all aspects involved in such initiatives. The main goal of this paper is to provide a framework that allows professionals from the mining industry to accurately describe data science upon big data. The following research question was addressed: "Which essential components characterize an interdisciplinary framework for data science upon big data in mining industry?". To answer this question. we will extend OntoDIVE ontology to create a framework capable of explaining aspects involved in such initiatives for the mining industry. As a result, this paper will present InfoMINDS - A Framework for Data Science upon Big Data Relating People, Processes and Technologies on Mining Industry. This paper will contribute to leveraging data science initiatives upon big data allowing application of OntoDIVE on real-case scenarios in mining industry.