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10 Principles for Data Storytelling


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Slides from a workshop on Data Storytelling hosted at the Turnbull Center, University of Oregon, April 2016.

Published in: Data & Analytics
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10 Principles for Data Storytelling

  1. 1. STEVE
 @damianradcliffe AUDREY CARLSEN
 @ Principles of Data Storytelling
  2. 2. Data  stories  are  everywhere…
  3. 3. 10  takeaways     for  storytellers   Damian  Radcliffe   Carolyn  S.  Chambers  Professor  in  Journalism   @damianradcliffe    
  4. 4. Implementation 5  x  Tips
  5. 5. 1.    Choice  of  tools/visual  methods  matters Impacts  on  readability,  emphasis  and  representation.
  6. 6. 2.    Keep  it  simple Don’t  be  convoluted  for  the  sake  of  it.
  7. 7. 3.    Consider  sustainability How  easily  can  work  be  refreshed  and  updated  to  remain  relevant?
  8. 8. 4.    Show  your  workings Especially  if  you’re  going  to  criticize  public  bodies  for  not.
  9. 9. 5.    Remember  you’re  still  a  storyteller Data  without  context  frequently  tells  us  nothing.
  10. 10. 5  x  Considerations The  Future
  11. 11. 1.    *Must*  be  mobile  friendly Already  a  leading  media  device  for  many  audiences.
  12. 12. 2.    Personalization Search  +  interrogation.
  13. 13. 3.    We  will  all  need  to  be  data  literate It  will  no  longer  be  “cool”  to  not  get  math  or  statistics.
  14. 14. 4.  Includes  knowing  how  to  protect  data Sources  may  all  be  electronic.  So  encryption  matters.  
  15. 15. 5.    It  won’t  be  called  data  journalism It  will  just  be  journalism.