Additional information
by Kelly Getz (Editor), Meryl Brodsky (Editor)
Today's students create and are confronted with many kinds of data in multiple formats. Data literacy enables students and researchers to access, interpret, critically assess, manage, handle, and ethically use data.
The Data Literacy Cookbook includes a variety of approaches to and lesson plans for teaching data literacy, from simple activities to self-paced learning modules to for-credit and discipline-specific courses. Sixty-five recipes are organized into nine sections based on learning outcomes:- Interpreting Polls and Surveys
- Finding and Evaluating Data
- Data Manipulation and Transformation
- Data Visualization
- Data Management and Sharing
- Geospatial Data
- Data in the Disciplines
- Data Literacy Outreach and Engagement
- Data Literacy Programs and Curricula
Author Biography
Kelly Getz is an Associate Professor and S.T.E.M. Librarian at Eastern Michigan University. She holds a BA in Chemistry from Michigan State University, and both a Master of Science of Information and a Master of Science in Bioinformatics from the University of Michigan. Prior to becoming an academic librarian in 2013, she was a high school chemistry and environmental science teacher. Her teaching philosophy, in brief, is: do things to foster curiosity and no things to harm it. Kelly's research interests include information and data literacy in secondary and post-secondary education, inclusive design in libraries, and many other sciencey rabbit holes. Outside of the library, she dedicates her life, love, time, and everything to Juni, Lionel, and Boyd; together with whom she will always make (and eat) the messiest cookies.
Meryl Brodsky is the liaison librarian for the School of Information and the Moody College of Communication at the University of Texas - Austin. She has a Master of Library Science from Southern Connecticut State University and an MBA from Cornell University. Her research interests include data literacy, data management, and data curation. She has spent half her career working as a corporate librarian and half as an academic librarian. It was her work in the corporate sector that sparked her interest in data literacy. She witnessed her co-workers doing terrible things to data and returned to the academic sector to become involved in data literacy education.
