Which aspect of data trustworthiness refers to consistency and accuracy?

The aspect of data trustworthiness that refers to consistency and accuracy is best represented by the concept of reliability. Reliability is concerned with the degree to which data remains consistent across different measurements and contexts, ensuring that the data accurately reflects the phenomenon it is measuring. In the realm of Software Asset Management, reliability is crucial for making informed decisions based on accurate and consistent data.

This concept emphasizes the importance of data being stable over time, which is essential for tracking software assets effectively. A reliable dataset allows organizations to compare software usage and licensing across different time periods without significant variations that could distort the analysis. This reliability builds confidence in the data, making it a strong foundation for decision-making processes within SAM initiatives.