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Science Communication: Data Visualization

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

Introduction to Data Visualization

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:

Data Visualization Examples

Harbor Branch Oceanographic Institute Library

Last updated on Sep 1, 2021 9:38 AM