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"Data Evaluation Checklist"

4 key steps for evaluating data sources

It goes without saying that data is virtually everywhere. Unfortunately, a lot of it is bad or unusable. Not every dataset has the same capacity to spark new innovations, drive critical insights for timely and life-changing solutions, and answer tough or complex questions.

If you rely on data to do your work well, it’s important to have a fool-proof way to distinguish one data source from another—in essence, the “good” versus the “bad”—to know whether it’s worth your time and investment. Here are a few tips to get you moving in the right direction.

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