I recently had the opportunity to
participate in the inaugural Biomedical
& Health Research Data Management for Librarians (mostly) online
course, sponsored by the NLM and NNLM Training Office. I am one of about thirty
librarians enrolled in the eight-week Moodle course, the online component of
which concluded during the first week of March. Each module focused on a different
aspect of research data management:
- RDM Overview & Data Lifecycle
- Data Curation & Documentation
- Data Standards, Taxonomies, & Ontologies
- Data Security, Storage, & Preservation
- Data Sharing & Publishing
- Data Management Plans
- Data Wrangling
- RDM at Your Institution
My library is only just starting to
offer a suite of research data management services, so I was looking for a
learning experience that would provide a solid overview of RDM from a librarian’s
perspective and that involved hands-on practice. This course definitely met my
requirements. Each week brought together learning material from a variety of
sources, discussion prompts, and assignments. The assignments helped us put
into practice what we had learned that week. During the week on data management
plans, for instance, we had to use the DMPTool
to create a DMP based on one of two case studies. The data wrangling module
involved using OpenRefine to clean up a publicly available dataset.
The final component is a capstone project
and a two-day Summit, which will take place at the NLM in early April. This
will give us participants, as well as instructors and mentors, a chance to meet
one another. We have a good amount of flexibility with the capstone project so
that our efforts support the specific RDM needs we’re encountering locally. For
example, I’m creating a LibGuide on RDM. Although we have until August to
complete our capstone projects, I’m hoping to have mine done by the time of the
Summit. (I can’t pass up the opportunity to get feedback from my colleagues!)
Each course participant was assigned a mentor (a librarian with some RDM
expertise) who could help us decide on and think through an appropriate capstone
project.
If you’re interested in RDM and feel
like you’d benefit from an opportunity like this one, keep an eye out for
future iterations of the course. I highly recommend it!
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