Protecting private or sensitive information by eliminating or encrypting information is the goal of data ___.

The goal of protecting private or sensitive information by eliminating or encrypting it aligns closely with the concept of data anonymization. Anonymization refers to the process of removing personally identifiable information from a dataset so that individuals cannot be readily identified. This process ensures that even if data is accessed, it cannot be traced back to the individuals it pertains to, enhancing privacy and confidentiality.

In the context of protecting sensitive information, data anonymization plays a crucial role in compliance with various data protection regulations, such as GDPR or HIPAA. By anonymizing data, organizations can still derive valuable insights from datasets without compromising the privacy of individuals, thereby mitigating the risk of data breaches and unauthorized access.

The other options refer to different aspects of data management and security. Integrity emphasizes the accuracy and consistency of data, encryption specifically focuses on converting data into a secure format to prevent unauthorized access, and storage relates to how data is saved and maintained. While they are important concepts, they do not specifically encapsulate the goal of protecting private or sensitive information through its elimination or modification.