When clean data is the wrong data

A table can pass every quality check and still be the wrong source for a study. Reviewing our clinical data catalogue has made me look more closely at who each table covers, which years it represents and what researchers might lose if we retired it. This article explores how those questions shape product decisions, and why understanding research use matters before replacing an older dataset with a seemingly better one.