Pseudonymization
A way of handling data where identifying information is replaced with artificial identifiers but can still be reconnected if needed.
What This Really Means
Pseudonymization replaces identifying information with substitutes while still allowing data to be re-linked if needed.
This makes it useful for analysis while offering less protection than full anonymization.
Examples
Separating identifying data from response data
allowing access to past results without exposing identities.
Common Misunderstandings
Tap each myth to reveal the reality
Pseudonymized data isn’t automatically fully anonymous, and Pseudonymization is about a way of handling data where identifying information is replaced with artificial identifiers but can still be reconnected if needed.
Pseudonymization describes a way of handling data where identifying information is replaced with artificial identifiers but can still be reconnected if needed, so it doesn’t mean that pseudonymization offers no privacy protection.
Pseudonymization is about a way of handling data where identifying information is replaced with artificial identifiers but can still be reconnected if needed, and it doesn’t imply that pseudonymization and anonymization are interchangeable.
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Inside LoveIQ
We identify patterns related to Pseudonymization by analyzing responses in our assessment modules, helping you understand your unique relationship dynamics.
Sample visualization of a gap metric.
“You don't need to label yourself. These terms help describe patterns — not define you.”
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