Teaching Research Data Management

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. You will learn about such topics as

• integrating research data management into information literacy instruction;
• threshold concepts for novice learners of data management;
• four key competencies that are entry points for library-faculty collaboration in data instruction;
• an 8-step plan for outreach to faculty and grad students in engineering and the sciences;
• using RStudio to teach data management, data visualization, and research reproducibility;
• expanding data management instruction with adaptable modules for remote learning;
• designing a data management workshop series;
• developing a research guide on data types, open data repositories, and data storage;
• creating a data management plan assignment for STEM undergraduates; and
• data management training to ensure compliance with grant requirements.