When data is described as having integrity, it means:

The concept of data integrity pertains to the accuracy and consistency of data throughout its lifecycle. When data is described as having integrity, it indicates that the data accurately reflects the real-world constructs it is intended to represent and remains consistent across different databases or systems. This ensures that users can trust the data they are utilizing for analysis, reporting, and decision-making processes.

Data integrity is crucial in various fields, particularly in healthcare, where accurate patient information can significantly impact patient care and safety. Maintaining data integrity involves implementing processes and controls to prevent data corruption, unauthorized access, or alterations, and ensuring that data remains complete and consistent regardless of its location or form.

The other aspects like accessibility, storage in multiple locations, or visual appeal do not address the fundamental characteristic of data integrity, which centers around the trustworthiness and reliability of the data itself. Thus, the correct understanding of data integrity focuses solely on its accuracy and consistency.