Turning Messy Data Into Usable Evidence

Kathleen Mandziuk explains how transforming “messy” real-world data starts with clearly defining the research question, identifying available datasets, and addressing gaps. She highlights linking datasets, statistical methods, and balancing sample size with data limitations to generate meaningful evidence.