Assessing fit-for-purpose real-world data sources with the ATRAcTR screening tool: an interview with Marc Berger

Assessing the quality and provenance of real-world data (RWD) sources is critical for reliable decision-making, enhancing outcomes and enabling more informed insights and discoveries. A recent publication1 proposes a new screening tool, called ATRAcTR (Authentic Transparent Relevant Accurate Track-Record), aimed at helping researchers achieve this goal. In this interview we speak with lead author, Marc Berger, to learn more about ATRAcTR and how it can be used by researchers to ensure data quality and robustness. Please could you introduce yourself and give a brief overview of your career to date? My career in industry has involved the leadership of groups...