Beyond Research Data Management for Biomedical & Health Sciences Librarians - Feb-April 2020

For more information on this course please contact Jessi Van Der Volgen at

The major aim of this course is to provide an introduction to the support of data science and open science with the goal of developing and implementing or enhancing data science training and services at participants’ institutions. The course topics include an overview of data science and open science, data literacy, data wrangling, data visualization, and data storytelling. It will also include practice in using Jupyter Notebooks through an open-source browser-based application (JupyterHub) that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. This course will expand on concepts covered in RDM 101: Biomedical and Health Research Data Management Training for Librarians, and threaded throughout will be the librarian’s role in research reproducibility and research integrity and include practice in using Jupyter notebooks. Course is made up of weekly online modules and assignments as well as a final summative project. 

Upcoming Course Offering February 24- April 24, 2020

Course URL:

Course Objectives:

Participants will be able to 

  • Describe key concepts and trends in open science
  • Articulate roles for librarians in data science and research reproducibility 
  • Clean a dataset to extract information
  • Create a visualization of a dataset according to key principles


Week 1: Introduction to Open Science and Data Science

Week 2: Data Literacy

Weeks 3 - 4: Data Wrangling

Week 5: Data Visualization

Week 6: Data Storytelling

Week 7 - 8: Final Projects and Presentations

Each week will use a variety of readings, videos, and interactive tutorials plus an assignment to achieve learning objectives. Students will apply new skills to a project under the guidance of a project instructor.

MLA CE Credits: 36