In today's world, Data minimization is a topic that has gained great relevance in different areas. From politics to technology, society and culture, Data minimization has been the subject of constant debate and interest. In this article, we will analyze different aspects related to Data minimization, from its origin and evolution to its impact on current society. Through different approaches and perspectives, we seek to provide a broad and complete vision of Data minimization, with the aim of offering a detailed and rigorous analysis of this topic that is so relevant today.
Data minimization is the principle of collecting, processing and storing only the necessary amount of personal information required for a specific purpose. The principle emanates from the realisation that processing unnecessary data is creating unnecessary risks for the data subject without creating any current benefit or value. The risks of processing personal data vary from identity theft to unreliable inferences resulting in incorrect, wrongful and potentially dangerous decisions.
The principle of data minimization is a global, universal principle of data protection, and can thus be found in almost every legal or regulatory text on data protection/privacy.