Anonymization

Data scienceOpen dataStatistics

Data anonymization is a type of process to remove sensitive information to protect the identity of individuals in datasets.

By removing personally identifiable information from data sets, people whom the data describe remain anonymous.

In practice

Data anonymization may enable the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure.

Related terms

Data science

Dataset

A dataset is a collection of related tables of data that may be accessed individually or in combination for analysis or reporting.

Technology

API – Application Programming Interface

An API is an interface that defines how, for example, software applications can communicate with each other. APIs allow different software systems to interact and share data.

Statistics

Confounding Variable

A confounding variable is an outside influence that changes the effect of the dependent and independent variable, potentially leading to false conclusions.