Data friction refers to the effort needed to collect data and does not relate to the quality of the resulting data. An investor's acceptable level of friction depends on their objectives, budget, timeline, and how to collect data in an equitable way that minimizes burden on the end customers. There are three levels of data friction: low, medium, and high.