Anonymisering

DatavetenskapÖppna dataStatistik

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.

I praktiken

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.

Relaterade begrepp

Datavetenskap

Dataset

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

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Teknik

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.

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Statistik

Confounding variable

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

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