The Guidelines for modelling Vintages in SDMX provides recommendations on how to work with vintages for several use cases and present practical examples for its implementation. Vintage data plays a crucial role in academia and research, allowing scholars to reproduce studies, build more accurate forecasting models, and analyse economic policy decisions using the data available at the time.