Overview

Armed with this guide's strategies and concrete examples, subject librarians, data services librarians, and scholarly communication librarians will be inspired to roll up their sleeves and get involved with teaching research data management competencies to students and faculty. The usefulness of research data management skills bridges numerous activities, from data-driven scholarship and open research by faculty to documentation for grant reporting. And undergrads need a solid foundation in data management for future academic success. This collection gathers practitioners from a broad range of academic libraries to describe their services and instruction around research data.

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Particularly useful is Briana Wham's essay on RStudio--which is omnipresent in research communities, so teaching RDM through an R framework is a logical and enticing approach for students and others. The essay on scales of learning--short versus long technical workshops--is also valuable ... Overall, Bauder's collection offers a good selection of compelling ideas and insights into different areas of RDM, and offers librarians a menu of examples to explore for their own programs. -- Choice

Author Information

Julia Bauder is the Social Studies and Data Services Librarian at the Grinnell College Libraries. She is the author of the books The Reference Guide to Data Sources and Data Literacy in Academic Libraries: Teaching Critical Thinking with Numbers. She has also published and presented about information literacy, data literacy, and data visualization in venues including Information Technology and Libraries, College & Undergraduate Libraries, and the LITA National Forum.

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