similarly to having sufficient data quality, the real world data must be fit for purpose. an rwd resource can be fit for addressing some questions, but not others. for example, a dataset that lacks mother-to-baby links may not be appropriate to address drug risk for fetus but can be used for questions for drug safety in patients taking epilepsy treatment (limited to the patient; not including safety for fetus). since data quality can be evaluated outside a particular purpose (on a general level), fitness for purpose is evaluated separate from data quality and is not included in the concept of data quality.