What is a key characteristic of a high-quality data?

What is a key characteristic of a high-quality data?

• A. Clarity and accuracy
• B. Relevance and volume
• C. Timeliness and redundancy
• D. Accessibility and opacity

Answer: (A)

A key characteristic of high-quality data is clarity and accuracy. Clarity ensures that the data is understandable and clearly defined, which is essential for effective analysis and decision-making. Accurate data reflects the true values, facts, or phenomena it is representing, thereby maintaining its credibility and reliability. High-quality, clear, and accurate data allows stakeholders to trust the information being analyzed, facilitating informed decisions that are critical in any data-driven environment. In contrast, relevance and volume focus more on the appropriateness of data in context and the amount of data rather than its inherent quality attributes. Timeliness and redundancy refer to the currency of the data and whether it is unnecessarily repeated, which does not directly relate to quality. Finally, accessibility and opacity involve whether data can be readily accessed and understood; however, opacity indicates a lack of clarity, thus contradicting the attributes of high-quality data. Hence, clarity and accuracy stand out as fundamental qualities in defining high-quality data.

A key characteristic of high-quality data is clarity and accuracy. Clarity ensures that the data is understandable and clearly defined, which is essential for effective analysis and decision-making. Accurate data reflects the true values, facts, or phenomena it is representing, thereby maintaining its credibility and reliability. High-quality, clear, and accurate data allows stakeholders to trust the information being analyzed, facilitating informed decisions that are critical in any data-driven environment.

In contrast, relevance and volume focus more on the appropriateness of data in context and the amount of data rather than its inherent quality attributes. Timeliness and redundancy refer to the currency of the data and whether it is unnecessarily repeated, which does not directly relate to quality. Finally, accessibility and opacity involve whether data can be readily accessed and understood; however, opacity indicates a lack of clarity, thus contradicting the attributes of high-quality data. Hence, clarity and accuracy stand out as fundamental qualities in defining high-quality data.