Now more than ever, data is at the center of engagement and decision making. Healthcare and life sciences are no exception: data is central to discussions about public health and is core to enabling continued scientific advancement. The accelerated digitalization of healthcare during the pandemic has only expanded the amount of health-related data available—and cemented the key role that it plays in care delivery, disease prediction and diagnosis, biopharma and medtech innovation, and patient outcomes. Despite the exponential growth in data generated across the healthcare ecosystem, notable gaps remain. One such area is women’s health, in which gaps span the entire data value chain—from defining women’s health (pre–data generation) to…