An Analysis of Challenges Confronting Big Data Research in the Physical and Social Sciences
James Lawler Pace University
H. Howell-Barber Pace University
Abstract The advantages of Big Data are apparent in applications in different fields of research. The authors of the paper consider an evaluation of Big Data in the physical and social sciences. The goal of the paper is to explore factors facilitating or not facilitating the inclusion of governmental and industrial data bases for interpretation by researchers. The information in the data bases is broad and complex covering dimensions from agriculture, climate and energy to genomics and physics and is expanding in further fields of the sciences. The methodology of the paper is focused on the efficacy and efficiency of information policies perceived to be open to researchers that will be surveyed by the authors in a preliminary period of study. The findings will benefit academic researchers considering expanding initiatives in predictive Big Data Analytics research in the physical and social sciences with external Big Data sources. Finally, this paper will be beneficial to professors encouraging students to pursue research in these sciences with massive Big Data sources.
Recommended Citation: Lawler, J., Howell-Barber, H., (2016). An Analysis of Challenges Confronting Big Data Research in the Physical and Social Sciences. Proceedings of the EDSIG Conference, (2016) n.4186, Las Vegas, Nevada