Abstract

This work draws a visible boundary for data privacy with respect to Big Data in bioinformatics. Defining Big Data boundary is a growing field where researchers have found an enormous repository of data which has huge business attraction leading to inappropriate usage of such data. This work provides a visibility to that thin line of ethical frontier which needs to be identified by data contributors and preservers so that the data fetchers are limited to data analysis or pattern analysis and the source remains encrypted and protected from invasion. Genomic data as well as bio-medical data have a true potential in their exploitation by commercial sectors which should be clogged with more privacy and security.