Telling Good Data from Bad

From Forbes.   Hardly complete, but a reasonable starting point.   Which can be mostly summarized as:  Understand your sources,  ask for certification when available,  ask the right questions, (which often depend on the specific business context) . Look for red flags in the data itself. .   Also mentioned, the likelihood of confirmation bias creeping into results.   I almost always found some errors of this type    I will add that this kind of bias  can be either biased data that will support your own theories, or those that will best sell to your decision clients.