Which concept relates to protecting data privacy while retaining usefulness?

The correct concept that relates to protecting data privacy while retaining usefulness is anonymization. Anonymization involves transforming data in such a way that individuals cannot be identified from the dataset, but the information can still be useful for analysis and insights. By removing or altering personal identifiers, the data can be shared or analyzed without compromising individual privacy, allowing organizations to draw meaningful conclusions while adhering to privacy regulations.

In contrast, data security focuses on the overall protection of information against unauthorized access and breaches but does not specifically address the balance between privacy and usefulness. Data encryption is a method of protecting information by converting it into a code to prevent unauthorized access, but it still retains identifiable information that could compromise privacy if decrypted. Data masking, while also a technique used to obscure sensitive information, generally aims to create a version of the data that is not usable for analysis but protects the sensitive aspects. However, anonymization specifically retains the utility of the data while safeguarding privacy, making it the most relevant concept in this context.