Designing and assessing a data literacy internship program for graduate health sciences students




data literacy, systematic review, internship, training, qualitative, data analysis, nvivo


This case study presents the results of a data internship and workshop series on data analysis in qualitative biomedical systematic reviews. In a newly developed librarian-led internship program, an intern was trained on data literacy concepts and data analysis tools and, in turn, helped recruit and train other graduate health sciences students. Due to COVID-19 restrictions, a flipped classroom model was applied to develop a completely virtual learning experience for both the intern and workshop attendees. Both the data intern and workshop participants reported improved confidence in data literacy competence at the end of the project. Assessment results suggest that while the workshop series improved participants’ data literacy skills, participants might still benefit from additional data literacy instruction. This case also presents a model for student-led instruction that could be particularly useful for informing professional development opportunities for library interns, fellows, and student assistants. 

Author Biography

Bethany Sheriese McGowan, Purdue University

Bethany McGowan is Assistant Professor of Library Science and Health Sciences Information Specialist at Purdue University in West Lafayette, Indiana, USA.


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Case Report