<p></p><p><i>With the data
landscape of the universe expands every second every day by leaps and bound,
the data value also increases unprecedentedly. Particularly, the disruptive use
of data in location tracking, predictive policing, fraud detection, healthcare,
advertising media, and entertainment has already revitalized personal data in
many ways. But massive amassing of data also gives rise to new issues regarding
the Big Data effects, including privacy invasion, data breaches, and cyber
threats, etc. Taking effective efforts for mitigating the risks of data
explosion thus becomes indispensable for companies, organizations, and
societies alike. In such background, this paper attempts to focus on the ways
how the data minimization approach mitigates such risks, and how this approach
as a concept is being incorporated in legal instruments globally. After exploring
practical methods of applying data minimization, the paper concludes by delineating
the way out of the existing dilemmas so created in the face of Big Data. </i></p><br><p></p>