A junior data analyst discovers a dataset is six years old, making the information less relevant to the project. Which data source principle have they applied?

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Multiple Choice

A junior data analyst discovers a dataset is six years old, making the information less relevant to the project. Which data source principle have they applied?

Data should be current to be useful for decisions in the present context. A dataset that is six years old isn’t up-to-date, so it fails the current data principle—the information isn’t current enough to reflect the present situation. Timeliness overlaps with this idea, since data needs to be available when needed, but the key point here is whether the data reflects current conditions. Relevance is about fit to the task, and accuracy is about correctness, neither of which directly addresses the issue of how up-to-date the data is. So identifying the data as not current correctly highlights why it’s less suitable for the project.

Data should be current to be useful for decisions in the present context. A dataset that is six years old isn’t up-to-date, so it fails the current data principle—the information isn’t current enough to reflect the present situation. Timeliness overlaps with this idea, since data needs to be available when needed, but the key point here is whether the data reflects current conditions. Relevance is about fit to the task, and accuracy is about correctness, neither of which directly addresses the issue of how up-to-date the data is. So identifying the data as not current correctly highlights why it’s less suitable for the project.

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