Module 3: Assessing Data Credibility

Introduction

Data visualizations can only be effective and meaningful if they are based on high quality data.  It is important to source credible, current data sources.  This module will provide some guidance as to how to select quality data for your visualizations.

Learning Objectives

By the end of this short course, you should be able to:

  1. Assess the credibility of a data visualization’s underlying data.
  2. Explain how to “fact check” a data source.

License

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Critical Data Literacy Copyright © 2022 by Nora Mulvaney and Audrey Wubbenhorst and Amtoj Kaur is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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