This series is offered via Moodle.
Research Data Management On Demand is made up of four stand-alone classes that introduce principles and practices of research data management. There is no particular order or progression in which to take the classes. Expect to spend up to four hours on each class learning through tutorials, videos and hands-on activities.
Through tutorials, videos and hands-on activities, participants will be able to:
Articulate how open science supports research integrity and reproducibility.
Describe the differences between research data management (RDM), data science, and open science
Explore librarian roles to support data science
- Reading: The Open Science Training HandbookPage
- Discussion: How open science helps researchers succeedForum
- Lecture: NLM & NIH Partnership in Accelerating Discovery Through DataURL
- Reading: Data Science: New Librarian Roles for a New Field of ResearchFile
- Reading: Defining Data Librarianship: a Survey of Competencies, Skills, and TrainingFile
MLA CE Credits: 4