What is the difference between personal, sensitive and anonymous data?

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When we put these three definitions into perspective, we can draw some interesting conclusions. Personal data is the most general, as it even sets the main standardization target.

Sensitive data is different, as it is more specific and delicate when it comes to moral assessment, but it falls within the concept of personal data. Sensitive personal data may involve some kind of discomfort that can generally be avoided with personal data.

For example, someone may discriminate against ukraine phone number list a person based on their religious views, political preferences or aspects of their private life. Vacant positions, projects and opportunities or confirmations in protocols/applications may also be rejected.

Security and privacy laws are very concerned about events that depend on this specific personal data. Therefore, more care must be taken with sensitive data, after all, non-discrimination is one of the principles of the law.

Anonymous data, on the other hand, can be understood as the opposite of personal data, as we have already discussed here. At no point can it be re-identifiable, as this defeats the very idea of ​​anonymity. In this sense, anonymous data is very different from sensitive data.

Pseudonymized data therefore falls somewhere between personal (identifiable) data and anonymized data. It goes through a transformation process, but it is not radical to the point of making that data impossible to reverse. Generally, it is still under the protection of privacy and security laws.