Final answer:
Data has integrity if it is accurate, complete, consistent, up-to-date, and the same wherever it is recorded. Accuracy and precision are key components in maintaining the integrity and usefulness of data.
Step-by-step explanation:
Data has integrity if it is accurate, complete, consistent, up-to-date, and the same no matter where it is recorded. Data integrity is crucial in ensuring that the information reflects a state of reality and is reliable for decision-making processes. Data that is precise and consistent allows for meaningful analysis, establishing credibility and trust in the information's application.
Accuracy in data is fundamental, as it ensures that the measurements and observations are correct. Precision reflects how consistent and closely matched repeated measurements are. Both these elements are vital for data to be useful and to maintain its integrity.
Furthermore, having data that is up-to-date ensures its relevance, while consistency across different records guarantees that no matter where the data is accessed or recorded, it conveys the same information, which is necessary for comparing datasets and drawing valid conclusions.