What is a sign of an unreliable dataset?

• A. Missing information about data collection and sampling.
• B. Detailed documentation of methods.
• C. Explicit stated limitations.
• D. Public access to data.

Answer: (A)

A key signal of unreliability is when essential details about how the data were collected and how the sample was chosen are missing. If you don’t know the data collection methods, the population and sampling frame, how the sample was selected, when the data were gathered, or what instruments and measures were used, you can’t judge whether the data represent the right group or whether results are biased. This makes it impossible to assess accuracy, compare with other studies, or replicate the work.

In contrast, clear documentation of methods, explicit stated limitations, and public access to data show transparency and allow you to evaluate quality, identify potential biases, and reproduce analyses. Having these signals makes a dataset more trustworthy.