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Bigger is always not better, less is more, sometimes: the concept of data minimization in the context of Big Data
  • Md. Abdul Malek
Md. Abdul Malek

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Over 4.1 billion internet users of the universe generate about 2.5 quintillion bytes of data each day; and a digital universe of 44 zettabytes will hit 2021. As the data landscape expands every second every day, the data value also increases by leaps and bound. Personal data then get revitalized for the disruptive use of location tracking, predictive policing, fraud detection, healthcare, advertising media, and entertainment. Likewise, massive amassing of data also at the same pace gives rise to some new issues regarding the Big Data effects, including privacy invasion, data breaches, and cyber threats, etc. Taking efforts for mitigating the risks of data explosion thus becomes imperative for the society we live in. Accordingly, 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 the legal instruments. After suggesting practical methods on how to reap benefits from the principle, the paper concludes by exploring the way out of the existing dilemmas so created in the digital transformation.