This “train the trainer” class is intended for librarians who will be teaching best practices in research data management to science, health sciences, and/or engineering students, faculty and library staff. Librarians doing outreach to other disciplines or professional areas are welcome and will encounter transferable content and ideas. During the workshop, Elaine Martin and Donna Kafel of the Lamar Soutter Library at the University of Massachusetts Medical School, Andrew Creamer of Brown University, and Regina Raboin of Tisch Library at Tufts University will be demonstrating the components of the New England Collaborative Data Management Curriculum (NECDMC), a Creative Commons, open-source curriculum, and discussing ways that the curriculum materials can be used and customized. This workshop uses actual cases from the sciences, health sciences, and engineering disciplines to illustrate how research data management can be taught in a general or disciplinary context. It also includes hands-on activities, a breakout session, web resources (http://library.umassmed.edu/necdmc/index), and print materials. Please note that this class is about teaching data management and not a course on data management. Attendees are expected to already have a broad understanding of data management concepts. It is suggested that all participants bring either a laptop or tablet for use during class. NECDMC has been funded by the National Library of Medicine under contract (HHS-N-276-2011-00010-C) and the Institute of Museum and Library Services (IMLS) with the University of Massachusetts Medical School in Worcester.
Program Takeaways
- Participants will develop competencies and pedagogical skills in teaching research data management.
- Participants will learn how to use NECDMC resources in developing customized research data management instruction and outreach activities for their institution’s research communities.
- Participants will be exposed to actual cases that facilitate envisioning of how the National Science Foundation (NSF) data management plan requirements are reflected in research settings. Each case is linked to one or more of the NSF data management requirements, and is accompanied by customizable lessons plans, activities, and power point presentations.
