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Beginning this summer and throughout the fall semester, we are working to upgrade the research experience by making ongoing improvements to our Research Guides.
You may encounter changes in the look and feel of the Research Guides website along with structural changes to our existing guides. If you have any questions or concerns about this process please let us know.

Science Communication

This set of guides has been adapted from LibGuides created by the Michigan State University Librarians, Erika Weir, Iris Kovar-Gough and Susan Kendall.


Pictorial representation of a user interacting with data.Data visualization is a common and effective tool for communicating science to both experts and non-experts in a variety of formats including scientific papers, presentations, and posters. How data is represented in visualizations can dramatically affect how science is understood. When creating visualizations, scientists should consider the type of data, the underlying research question, and the intended audience in order to best communicate their findings.

For more information on best practices in data visualization see:

Featured Library Books

Digital Scholarship Lab

The Digital Scholarship Lab (located on 2 West of the Main Library) provides support for visualization including software. Their workstations provide access to Python, R, Open Refine, and Tableau Desktop.

Choosing Chart Types

The types of charts and figures you choose should be dependent on the type of data you would like to visualize. From Data to Viz is a website that provides helpful classification charts based on data types to guide your visualization decisions. You may also want to explore the "Caveats" page to learn more about when a chart type may be misleading or misrepresent your data.

Icon of a histogram with trend lines

Introduction to Data Visualization

Data Visualization Examples

Visualization Workshop


Color choices, captions, and formatting can all contribute to the accessibility or inaccessibility of data visualizations. The following resources give a brief overview of steps you can take to make your data visualizations more accessible.

Resources for Color Choices:

Last updated on Aug 4, 2022 12:06 PM