The global rise in non-communicable diseases (NCDs) presents significant public health challenges. Effectively managing and preventing NCDs necessitates a thorough understanding of their causes and progression, which can be achieved through a lifecourse approach to determine past exposures’ impact before NCD onset. However, this approach requires robust backing from data, specifically lifecourse cohort data, which are generally insufficient. To overcome this obstacle, three primary strategies have been employed to establish such cohorts, active follow-up cohorts, registry-based datasets, and technology-based data collection and simulation methods.