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What's in a Data Story? Understanding the Basics of Data Storytelling

Class Details

Instructor Bio: Nancy Shin

Nancy received her Bachelor of Science in the Integrated Sciences majoring in medical genetics and animal biology from the University of British Columbia (UBC). She also graduated from UBC's esteemed MLIS program with a focus on health librarianship. In 2018, she was the Research Data Management Sewell Fund Fellow for the Technology Incubator at Washington State University. Currently, she is the NNLM PNR Research and Data Coordinator for the University of Washington's Health Sciences Library. Her research interests lie in evidence-based medicine, data visualization, data storytelling, and research data management.

Class Date:
Region/Office: National
Oct 29, 2020
1:00PM - 2:00PM PT
Instructor(s):
Nancy Shin, Research and Data Coordinator
Contact:
Continuing Education Credits: 
1

A one-hour introductory webinar on the fundamentals of effective storytelling using data collected and visualized by librarians for librarians. Data without a story is just a pile of numbers. Data with an effective story becomes an everlasting narrative that people will remember for a long time and without much effort. In this talk, we’ll look at the basic structure of data storytelling and review exemplars both good and bad of data storytelling. No prior knowledge of the topic is required.

Objectives: 

At the end of the talk, attendees will be able to:

  • Name the parts of a data story
  • Apply their knowledge of data storytelling to real data
  • Identify and explain good and bad examples of data storytelling