Which principle requires that data is trustworthy and accurate?

The principle that requires data to be trustworthy and accurate is integrity. Data integrity refers to the accuracy, reliability, and consistency of stored data. It ensures that data remains unaltered during its lifecycle, unless changes are made with the proper authorization and methods. This principle is crucial for maintaining high-quality data, which can be relied upon for decision-making, analysis, and reporting.

In the context of data management, integrity involves various practices such as implementing validation checks, verification processes, and ensuring that data access is appropriately controlled to prevent unauthorized alterations. Organizations that prioritize data integrity can build trust with stakeholders, as they can be confident that the information they are using is correct.

Other principles such as confidentiality, availability, and data security address different aspects of data management. Confidentiality deals with safeguarding data from unauthorized access, availability ensures that data is accessible when needed, and data security encompasses a broader range of measures to protect data against breaches and threats. However, none of these principles directly addresses the need for data to be trustworthy and accurate, which is fundamental to the concept of integrity.