Is a Distributed Graduate Seminar a Successful Way to Share Information
Management Expertise with Students?
Abstract
In this era of open data and reproducible science, graduate students
need to learn where and how to publish their data and to be conversant
with the challenges inherent when re-using someone else’s data. The
Environmental Data Initiative partnered with UNM Libraries and Florida
Coastal Everglades LTER to organize a 1-credit, semester-long
distributed graduate seminar to learn if this approach could be an
effective mechanism for transmitting such information. Each week during
the Spring 2021 semester, an informatics specialist spoke remotely to
students at University of New Mexico, Florida International University,
and University of Wisconsin-Madison on topics ranging from FAIR
principles to data security, team science to data provenance. Students
prepared for the lecture with one or more readings, and in-class
exercises reinforced the material covered. Student assignments included
writing quality metadata for their own data and archiving their data in
the EDI Repository. The capstone writing assignment, a data management
plan for their own research project, allowed the students to integrate
much of what they had learned. Student response to this class was
positive, and students indicated that they learned a lot of immediately
useful information without the course being a significant time-sink. The
low registration numbers at UNM and FIU (6 and 7 students,
respectively), however, where the seminar was not required, suggest a
need to better inform both students and their advisors of the
opportunity and the value provided by the training. Instructors also
learned that it would be easier to create a cohesive flow to the course,
without repetition, if the group of instructors took turns lecturing,
rather than bringing in specialists on each subject. It was also
apparent from student comments that many felt this information should be
integrated, at an introductory level, into undergraduate classes or
classes for new graduate students.