Researchers are under increasing pressure to manage, organize, describe and document their data in ways that enable others to discover, understand and reuse their work. However, the knowledge and skills needed to be successful in these tasks are not often a part of a student's education in college or graduate school. Librarians have an opportunity to address this gap in student's education through developing data literacy programming, but developing effective data literacy programs can seem daunting.

This session will introduce students to a model for creating data literacy programming developed as a part of the Data Information Literacy project. We will begin by reviewing the findings from interviews conducted with faculty and students at four universities. We will then walk through the DIL model step by step. Finally, participants will work through case studies to explore potential opportunities and generate possible approaches to offering data literacy programs.

Jake Carlson is Research Data Services Manager, University of Michigan.