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Multiple Choice

What term describes ensuring stored information is factually correct?

This item tests how we distinguish terms for the quality of stored information. Data accuracy refers to whether the data values themselves are true and reflect reality. In other words, it’s about the data being factually correct. Data integrity covers the broader idea of keeping data correct and trustworthy over its entire lifecycle—ensuring it isn’t altered or corrupted and remains consistent and complete. Data privacy is about who can access the data, not whether the data values are correct. Data security is about protecting data from threats and harm, again not about factual correctness. So, when the focus is on the factual correctness of the stored information, the right term is data accuracy.

This item tests how we distinguish terms for the quality of stored information. Data accuracy refers to whether the data values themselves are true and reflect reality. In other words, it’s about the data being factually correct. Data integrity covers the broader idea of keeping data correct and trustworthy over its entire lifecycle—ensuring it isn’t altered or corrupted and remains consistent and complete. Data privacy is about who can access the data, not whether the data values are correct. Data security is about protecting data from threats and harm, again not about factual correctness. So, when the focus is on the factual correctness of the stored information, the right term is data accuracy.