Objective: This poster describes the collaborative development of a novel tutorial on preparing Analysis-Ready Data Sets for use in the medical school environment.

Background: In 2014 the Library conducted a survey among School of Medicine, Graduate School of Biomedical Sciences, and Graduate School of Nursing students, finding that 68% of respondents would prefer web-based instruction on research data management topics over face-to-face instruction (37%) or a hybrid method of instruction (50%). In response, the Library sought to develop web-based educational materials that would highlight general principles of data management while being both practical and locally relevant. The Library partnered with the Quantitative Methods Core (QMC), a service division of the Quantitative Health Sciences Department, to develop these materials. The Library/QMC team iteratively developed tutorial content and formatting over several months, focusing on common issues that are encountered by the QMC in preparing data sets for analysis. The team built the tutorial using Articulate, and posted it to the Library’s website for testing and dissemination.

Results/Outcome: The Library/QMC team jointly developed a web-based tutorial that focuses on the preparation of Analysis-Ready Data Sets. The collaboration leveraged the skills of both groups to develop and deliver a practical and locally relevant educational resource for the UMMS community. The tutorial is a proof-of-concept; evaluating the tool for usability and effectiveness are next steps for the team.