Data Visualization Award Judging Rubric

Total points possible:  30 

Points are awarded across three categories. These categories are described below, along with the sub-criteria considered
Category Criteria Scoring
Effective communication:
​Clear presentation of results through visualization
  • Results: Intended message is communicated clearly to a wide audience
  • Independent message: Visualization tells a story with limited (or no) support from other poster elements
  • Fair representation: Data are accurately represented without distortion and message is consistent with other poster content
Excellent (9-10 pts)
Very good (7-8 pts)
Good (5-6 pts)
Limited (3-4 pts)
Poor (1-2 pts)
Creativity and innovation:
New direction in field to approach to visualizing the data
  • Significance of graphic to research: Clearly conveyed by the visualization
  • Innovation: Visualization itself is innovative and creative
  • Inspiration: Provocative, compelling, and memorable content, message, or design
  • Unique approach: Representation of data is bold and original
Excellent (9-10 pts)
Very good (7-8 pts)
Good (5-6 pts)
Limited (3-4 pts)
Poor (1-2 pts)
Design and aesthetics:
Appropriate use of color and design
  • Title, headings, labels: Appropriate size, location, spelling, and content
  • Choice of visual: Appropriate for the audience and the message being conveyed
  • Design: Aesthetically pleasing, limited clutter, good use of color contrast
  • Clarity: Appropriate balance of function and design
Excellent (9-10 pts)
Very good (7-8 pts)
Good (5-6 pts)
Limited (3-4 pts)
Poor (1-2 pts)