Data Journalism (very abridged)

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Very brief overview of data journalism as part of a talk given at CFJ Paris, May 2011. Original presentation had 7 tips - focused on 2 of those hence odd numbering.

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Data Journalism (very abridged)

  1. 1. New information for new journalists: Data journalism Paul Bradshaw Visiting Professor, City University London Course Leader, MA Online Journalism, Birmingham City University Publisher, Online Journalism Blog Founder, Help Me InvestigateFriday, 6 May 2011
  2. 2. 1. What is it? Open and automatedFriday, 6 May 2011
  3. 3. “Each weekday, my computer program goes to the Chicago Police Departments website and gathers all crimes reported in Chicago.” Adrian HolovatyFriday, 6 May 2011
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  12. 12. 2. Why is it important? Data arms races and viabilityFriday, 6 May 2011
  13. 13. “The Tribune’s biggest magnet by far has been its more than three dozen interactive databases, which collectively have drawn three times as many page views as the site’s stories.” http://bit.ly/dj2dmzFriday, 6 May 2011
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  16. 16. Why? Holding power to account Engagement Targeting/relevanceFriday, 6 May 2011
  17. 17. 3. How do we do it? Brain and brawnFriday, 6 May 2011
  18. 18. Data Journalism ContinuumFriday, 6 May 2011
  19. 19. Compile. Clean. Connect. .Friday, 6 May 2011
  20. 20. 4 Look for context - understand statisticsFriday, 6 May 2011
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  22. 22. 7 Clean your data - and treat it like any sourceFriday, 6 May 2011
  23. 23. “ Because we take the time to clean the data, we are able to do lobbying stories no other news organisation can do." - David Donald, Center for Public IntegrityFriday, 6 May 2011
  24. 24. “ We cleaned up the data so that we were able to calculate how much grant was being lost over two years, and mapped it with OpenHeatMap. - Paul Gallagher, MENFriday, 6 May 2011
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  26. 26. Merci. Slideshare.net/onlinejournalist Twitter.com/paulbradshaw Delicious.com/paulb/datajournalismFriday, 6 May 2011

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