We define good data through the following characteristics: COMPLETENESS, a measure of whether or not we have all the data we expect to have; ACCURACY, a measure of whether the data we have is an accurate representation of the idea it’s trying to capture; CONSISTENCY, which is about capturing the same data the same way every time; TIMELINESS, which speaks to whether data is captured or made available soon enough after a real world event for it to be useful; and PROVENANCE, which is the degree to which we have visibility into the origins of the data.