Published: Dec. 3, 2017

Examples of different kinds of data visualizations

Data visualization allows us visual access to huge amounts of data in easily digestible visuals. Well-designed data graphics help people understand the significance of data in a simple yet powerful way.

ETA: The deadline has been extended to December 13, 2017, so that students can enter data visualizations from their final projects.

The 2017 Data Visualization Contest is an opportunity for students to show off their visualizations and draw attention to their projects. Data visualizations may include everything from charts and graphs to maps to data art to 3d models and can be static, animated, or web-based interactive stories.

The Center for Research Data and Digital Scholarship will judge the submitted visualizations based on their ability to communicate insightful information, their overall design, technical merit and originality. The rules are simple: you need to be a CU Boulder student, your visualization must have been created this year, and you can only submit two entries. You will be required to submit a mini-essay detailing the insights you personally gained about the data during the visualization process (minimum 100-words), as well as a brief (50-word maximum) biography of each author. Image files submitted for entry must adhere to the following name convention:  If the visualization is dynamic, please provide a screenshot and hyperlink. Learn more about the required formating and submit your entry by going to the Data Visualization Contest Entry Form.

Selected visualizations will be displayed in Norlin Library. Top prizes of $200, $100 and $50 will be awarded to the top three entries. 

Deadline for submission: now Dec. 13, 2017 (previously Dec. 1)

Want to learn more about Data Visualization? Check out the workshops offered by the Center for Research Data & Digital Scholarship. Questions? Email Phil White, Earth Sciences & Environment Librarian.