Standardizing data in epidemiology refers to the process of adjusting statistical measures so that comparisons can be made across different populations or time periods. This adjustment is crucial because it accounts for differences in population structure, such as age, sex, and other demographic factors. By doing so, it ensures that the observed differences in health outcomes are not simply due to these structural differences, making the comparisons more meaningful.