Research Data Management Training On Demand: Open Science and Data Science

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.

The individual classes are:
1. Open Science and Data Science
2. Data Curation and Documentation
3. Data Security, Storage and Preservation
4. Data Sharing and Publishing

Course URL: https://nnlm.gov/training/class-catalog/research-data-management-training-demand

Course Objectives:

Through tutorials, videos and hands-on activities, participants will be able to:

Open Science and Data Science

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

Agenda:

Open Science & Data Science

• Pre-test
• 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
• Post-test

MLA CE Credits: 4