Big Data Analysis and Challenges in Environmental Research and Public Health

Dear Colleagues,

The increasing volume of data collected by devices and new technologies (i.e., IoT, platforms such as Copernicus, WHO, etc.) cannot be processed with traditional analytical methodology or software. The analysis of such large amounts of data, which is of particular interest for environmental as well as public health researchers, authorities and organizations, confronts challenges such as complexity, capturing data (i.e., sampling), data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. The five pillars of big data are as follows: volume, value, veracity, variety and velocity. Knowing the five Vs allows data scientists to extract more value from their data while also allowing science organizations to become more person-centric. The topics of interest for this Special Issue include, but are not limited to: 

• Big data analysis tools;
• Surveillance and policing applications;
• Big data hype and criticism;
• Big data analysis in environmental research;
• Public health;
• Big data epidemiology;
• Infodemiology—infoveillance;
• Genomics;
• Proteomics.

Dr. Styliani Geronikolou
Dr. Stelios Zimeras
Guest Editors

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