While many reputable data archives provide excellent documentation (codebooks, data dictionaries, methodological reports), some data sets, particularly older or less formally archived ones, may lack comprehensive documentation. This makes it difficult to understand how the data was collected, what certain variables mean, or how missing data was handled, severely hampering your ability to use the data effectively and confidently.