Aspectual analysis as an alternative way of understanding the definitions of Big Data

This paper considers the application of philosophy to the field of Big Data. In particular, the paper considers how “Dooyeweerd’s aspects of everyday life” can contribute to the reconceptualization of Big Data. The paper reviews recent debates relating to Big Data as a concept by investigating the meaning of Big Data definitions gathered in the De Mauro study published in 2015. In doing so, Dooyeweerd’s “philosophy of everyday life” can assist us, not only in finding the more precise meaning of definitions, but also in contributing to concepts that help our understanding of Big Data. In conclusion, this study shows a useful way of exploring the meaning of Big Data definitions towards affirming and enriching them.