This talk will summarize the status of data education in chemical engineering curricula, providing examples where data are not covered at all to some examples of the efforts of dedicated faculty to including data in the curricula. It will discuss why existing engineering curricula have little coverage of data and why this situation is difficult to change. The last part of the talk will describe efforts at MIT to train chemical engineering students to analyze and make decisions based on heterogeneous data sets ranging in size from small to very big. The talk will describe ideas to integrate OSIsoft into other chemical engineering curricula, including (1) development of insertion modules with clearly defined learning objectives and with varying time commitments, (2) making tutorial visualizations and remote software operation available to universities, and (3) supporting “data advocates” within specific programs to develop and evaluate insertion modules.