Teaching students to reason with data is not a totally new enterprise. A small but insistent statistics education community has been studying the process for decades. This commentary provides an introduction to some major themes of that research, in order to provide common ground for conversations between learning sciences researchers and those who have been studying how students learn to reason with data. In this commentary, the author will emphasize five critical aspects of working with data that have emerged from this body of work.