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. 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.
