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OKCON 2011
OPEN DATA IN THE NEWSROOM
WHAT‘S THE
STORY?
Mirko Lorenz • Information Architect/Journalist • Deutsche Welle/In...
THIS IS ALL

 BETA
needs work
WELCOME.
IF YOU ARE NEW, THIS IS THE CONTEXT
This is a presentation from at OK Con 2011 in Berlin.
The topic is „data-driv...
ME: TURNED
JOURNALIST
INFORMATION ARCHITECT
FOCUS: TURNING IDEAS INTO
PLATFORMS, WORKFLOWS, STORIES
WORKING@DEUTSCHE WELLE...
DATA IN THE NEWSROOM?
DATA IN THE NEWSROOM?


NOW: OPEN DATA IS A WINNER
DATA IN THE NEWSROOM?


NOW: OPEN DATA IS A WINNER

NEXT: CHALLENGES AHEAD
DATA IN THE NEWSROOM?


NOW: OPEN DATA IS A WINNER

NEXT: CHALLENGES AHEAD

FUTURE: PATTERN CHANGE?
#1:
OPEN DATA IS A WINNER
WE ALL
NEED THE
DATA
THE IDEA ACCEPTED
  ON HIGH LEVELS
DATA INSIGHTS FOR EVERYONE?


                        WORLD
                 COUNTRY
PEOPLE        CITY
         GROUP
   ...
DATA INSIGHTS FOR EVERYONE?
    MEDIA
                        WORLD
                 COUNTRY
PEOPLE        CITY
         G...
#2:
DATA-DRIVEN JOURNALISM:
     WHY BOTHER?
OBSERVATIONS:
MUCH PROGRESS LAST YEAR
SIMON ROGERS IS AN OUTLIER
NEED TO TRAIN JOURNALISTS
WHAT ARE LONG-TERM GOALS?
ON A GLOWING RECTANGLE NEAR YOU
THE
MOVIE?   DATA STORY
          DIGGING DEEPER
                                         ...
CHALLENGES:
	 DIRTY DATA
  DATA NEEDS STORY
  CREATING A NEW „CAMERA“
HOW DIRTY IS THE DATA?




Tar Sands of Alberta. Image: Some rights reserved by NWFblogs
HOW DIRTY IS THE DATA?


                     EXTRACTING MEANING FROM DATA WILL BE HARD WORK
                   WON‘T COME...
NOT ALL DATA-SETS CREATED EQUAL
             INCOMPLETE     WRONG
                            FOCUS COMPETITION
   WRONG
 ...
Journalists,
where do you
add value?
      - Jeff Jarvis
DATA + STORY = VALUE TO PUBLIC
DATA + STORY: EXAMPLE




         Source: Information is Beautiful, by David McCandless
A „NEW CAMERA“ TO VIEW THE WORLD




           Source: Information is Beautiful, by David McCandless,
       quoted from ...
A „NEW CAMERA“ TO VIEW THE WORLD




           Source: Information is Beautiful, by David McCandless,
       quoted from ...
DATA + STORY
„NEVER COMING HOME“




 Source: http://mediastorm.com//publication/never-coming-home
#3:
WHAT‘S KEEPING US?
BARRIERS FOR DATA
   JOURNALISM
REBUILDING THE NEWSROOM -
WHY AND HOW?
TODAY‘S MEDIA MODELS
 Print   Web   Blogs *
                           iPad Mobile




               Most media companies...
FROM SINGLE STORIES...
...TO DATA-BASED CONTEXT
DATA AS A FOUNDATION
Database    Web           Print
           Overview
                           Article
              ...
SITUATION OF JOURNALISTS
MOST JOURNALIST‘S SITUATION
                  NO ACCESS TO
     FAILING
                     SERVER
     MODELS
          ...
STRANGE TIMES:
LAY-OFFS IN NEWSROOMS VS.
TALENT SHORTAGE IN DIGITAL
BUSINESS
#4:
DEVELOPING THE FIELD
WHAT ARE THE TRAINING NEEDS?
WHAT WOULD BE A GOOD WORKFLOW?

      A workflow for video and data journalism using next-gen cloud storage



          T...
WHAT WOULD BE A GOOD WORKFLOW?

     VISION Cloud Media Use Case
      A workflow for video and data journalism using next...
Text
WHAT ARE THE STEPS?



Team   Ingest      Filter                   Produce                       Publish         Dist...
SMART INTERACTION
               Scraperwiki      Open Calais      Video editing    Data Visualization       Tools        ...
#5:
PATTERN CHANGE
Q: PATTERN CHANGE?
 A: LOOKING INTO THE DATA,
  USING WHAT WE FIND FOR
       GOOD PURPOSES
CAN RESULT IN A BIG SHIFT OF
 ...
QUIZ:
WHAT ARE AR THE INSIGHTS &
TOOLS FUTURE GENERATIONS
 WILL THINK ARE OBVIOUS?
WHAT CAN BE DONE? (MOST EXAMPLES ON THIS PAGE ARE LINKED)

SURPRISE




CLARITY




TRUST
#HOPE:
MEDIA COMPANIES BECOMING
TRUSTED DATA HUBS
THE FUTURE: INSTANT CLARITY BEFORE WE MAKE DECISIONS




                                         Source: Visua.ly
THE FUTURE: INSTANT CLARITY BEFORE WE MAKE DECISIONS




                                         Source: Visua.ly
THE FUTURE: INSTANT CLARITY BEFORE WE MAKE DECISIONS




                                         Source: Visua.ly
FINALLY: THE CALL TO ACTION
(1) LET‘S WORK TOGETHER
(2) DEVELOPERS/JOURNALISTS/VISUALIZERS
(3) SMALL TEAMS CAN ROCK THIS P...
Caution:
 There’s no standard
career path to become
  a deconstructor of
      wrongness
Quote from David H. Freedmann, „W...
THANK YOU!
Brian Storm     Simon Rogers     Walter Mossberg      Rafat Ali    Ariana Huffington




Aron Pilhofer    Jeff ...
HOUSEKEEPING: HOW TO CONNECT

Twitter: #ddj
Please use this hashtag for „data-driven journalism“ - it‘s nicely short

Surv...
IDEAS, DISCUSSION, ARGUE?
TWITTER: #DDJ
@MIRKOLORENZ
Some ideas and concepts presented here have received funding from the...
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Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 1 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 2 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 3 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 4 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 5 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 6 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 7 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 8 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 9 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 10 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 11 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 12 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 13 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 14 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 15 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 16 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 17 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 18 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 19 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 20 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 21 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 22 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 23 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 24 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 25 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 26 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 27 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 28 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 29 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 30 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 31 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 32 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 33 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 34 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 35 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 36 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 37 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 38 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 39 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 40 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 41 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 42 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 43 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 44 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 45 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 46 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 47 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 48 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 49 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 50 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 51 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 52 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 53 Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin) Slide 54
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Data-driven journalism: Data in the newsroom

These are the slides from my talk at OK Con 2011. It provides a brief overview, then discussess barriers and challenges for data-journalism.

NOTE: This version is slightly edited, I primarily cleaned up missing image credits, etc. The message is the same.

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Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin)

  1. 1. OKCON 2011 OPEN DATA IN THE NEWSROOM WHAT‘S THE STORY? Mirko Lorenz • Information Architect/Journalist • Deutsche Welle/Innovation Projects June 30, 2011 • Kalkscheune Berlin
  2. 2. THIS IS ALL BETA needs work
  3. 3. WELCOME. IF YOU ARE NEW, THIS IS THE CONTEXT This is a presentation from at OK Con 2011 in Berlin. The topic is „data-driven journalism“ (DDJ). Our idea of data-driven journalism is to view the analysis of data as a rich source for good stories. Data-driven journalism is inclusive, meaning that other forms of journalism (investigative, computer-assisted reporting) are surely part of the broader quest to find ways for relevant, insightful journalism in a world driven by data. Plus, we hope that by adding data to the newsroom there will be new models to finance journalism. And why not, if the story is good. Data-driven journalism @ Wikipedia: http://en.wikipedia.org/wiki/Data_driven_journalism
  4. 4. ME: TURNED JOURNALIST INFORMATION ARCHITECT FOCUS: TURNING IDEAS INTO PLATFORMS, WORKFLOWS, STORIES WORKING@DEUTSCHE WELLE INNOVATION PROJECTS JOURNALISM TRAINER
  5. 5. DATA IN THE NEWSROOM?
  6. 6. DATA IN THE NEWSROOM? NOW: OPEN DATA IS A WINNER
  7. 7. DATA IN THE NEWSROOM? NOW: OPEN DATA IS A WINNER NEXT: CHALLENGES AHEAD
  8. 8. DATA IN THE NEWSROOM? NOW: OPEN DATA IS A WINNER NEXT: CHALLENGES AHEAD FUTURE: PATTERN CHANGE?
  9. 9. #1: OPEN DATA IS A WINNER
  10. 10. WE ALL NEED THE DATA
  11. 11. THE IDEA ACCEPTED ON HIGH LEVELS
  12. 12. DATA INSIGHTS FOR EVERYONE? WORLD COUNTRY PEOPLE CITY GROUP OPEN + NOT-SO-OPEN DATA
  13. 13. DATA INSIGHTS FOR EVERYONE? MEDIA WORLD COUNTRY PEOPLE CITY GROUP OPEN + NOT-SO-OPEN DATA
  14. 14. #2: DATA-DRIVEN JOURNALISM: WHY BOTHER?
  15. 15. OBSERVATIONS: MUCH PROGRESS LAST YEAR SIMON ROGERS IS AN OUTLIER NEED TO TRAIN JOURNALISTS WHAT ARE LONG-TERM GOALS?
  16. 16. ON A GLOWING RECTANGLE NEAR YOU THE MOVIE? DATA STORY DIGGING DEEPER „Surprisingly helpful“ -- User „Our city is now a better place“ -- Local Authority „It‘s a wonder how we could do without it“ -- Government AN OPEN DATA PRODUCTION
  17. 17. CHALLENGES: DIRTY DATA DATA NEEDS STORY CREATING A NEW „CAMERA“
  18. 18. HOW DIRTY IS THE DATA? Tar Sands of Alberta. Image: Some rights reserved by NWFblogs
  19. 19. HOW DIRTY IS THE DATA? EXTRACTING MEANING FROM DATA WILL BE HARD WORK WON‘T COME AT ZERO-COST OR WITHOUT UNWANTED EFFECTS Tar Sands of Alberta. Image: Some rights reserved by NWFblogs
  20. 20. NOT ALL DATA-SETS CREATED EQUAL INCOMPLETE WRONG FOCUS COMPETITION WRONG FORMAT CREATED FOR DIRTY Text MARKETING, MISTAKES DATA NOT INSIGHTS WHEN COLLECTED INTENTIONALLY FORGED INSIGHTS KEPT SECRET
  21. 21. Journalists, where do you add value? - Jeff Jarvis
  22. 22. DATA + STORY = VALUE TO PUBLIC
  23. 23. DATA + STORY: EXAMPLE Source: Information is Beautiful, by David McCandless
  24. 24. A „NEW CAMERA“ TO VIEW THE WORLD Source: Information is Beautiful, by David McCandless, quoted from talk of David in Brussels @ Visualizing Europe, 2011
  25. 25. A „NEW CAMERA“ TO VIEW THE WORLD Source: Information is Beautiful, by David McCandless, quoted from talk of David in Brussels @ Visualizing Europe, 2011
  26. 26. DATA + STORY „NEVER COMING HOME“ Source: http://mediastorm.com//publication/never-coming-home
  27. 27. #3: WHAT‘S KEEPING US? BARRIERS FOR DATA JOURNALISM
  28. 28. REBUILDING THE NEWSROOM - WHY AND HOW?
  29. 29. TODAY‘S MEDIA MODELS Print Web Blogs * iPad Mobile Most media companies still think of data and digital formats as an extension, not as the foundation. *Blogs are red, because most media did not get the idea
  30. 30. FROM SINGLE STORIES...
  31. 31. ...TO DATA-BASED CONTEXT
  32. 32. DATA AS A FOUNDATION Database Web Print Overview Article Depth Articles Crime Maps Dossier Competency Background Data Statistics Context Relevance Analysis Audio Trustability Photo Video
  33. 33. SITUATION OF JOURNALISTS
  34. 34. MOST JOURNALIST‘S SITUATION NO ACCESS TO FAILING SERVER MODELS NO SUPPORT RISING NO Text WORKLOAD TRAINING TOO MANY DATA TOOLS TIME PRESSURE OLD-SCHOOL CMS
  35. 35. STRANGE TIMES: LAY-OFFS IN NEWSROOMS VS. TALENT SHORTAGE IN DIGITAL BUSINESS
  36. 36. #4: DEVELOPING THE FIELD
  37. 37. WHAT ARE THE TRAINING NEEDS?
  38. 38. WHAT WOULD BE A GOOD WORKFLOW? A workflow for video and data journalism using next-gen cloud storage Team Ingestion Filter Produce Publish Distribute Popularity Goals Teamwork vs. one-man-show Enabling use of data in newsrooms Workflow as driver of value, better integration Note: Deutsche Welle is a partner in this EU-project. Website here: http://www.visioncloud.eu Visualization inspired by „A Web Site Designed“, created by John Furness of Simple Square
  39. 39. WHAT WOULD BE A GOOD WORKFLOW? VISION Cloud Media Use Case A workflow for video and data journalism using next-gen cloud storage Team Ingestion Filter Produce Publish Distribute Popularity Goals Teamwork vs. one-man-show Enabling use of data in newsrooms Workflow as driver of value, better integration Note: Deutsche Welle is a partner in this EU-project. Website here: http://www.visioncloud.eu Visualization inspired by „A Web Site Designed“, created by John Furness of Simple Square
  40. 40. Text WHAT ARE THE STEPS? Team Ingest Filter Produce Publish Distribute Measure Note: Deutsche Welle is a partner in this EU-project. Website here: http://www.visioncloud.eu Visualization inspired by „A Web Site Designed“, created by John Furness of Simple Square
  41. 41. SMART INTERACTION Scraperwiki Open Calais Video editing Data Visualization Tools Story Presentation Multi-platform Collecting STORLETS Needlebase Google Refine Final Cut R Studio Storify Wordpress Distribution usage data over time, Protovis Document Cloud Memolane File Conversion based on & APIs Fullstory Flash files, not pages Gapminder Other CMS in use HTML5 iTunes VIDEO/DATA VIDEO/DATA PRODUCTION WITH TEAMS iPod FILTERING INGESTION Android METADATA SET-UP Nokia TEAM RIM PROJECT NAME Team Ingestion Filter/Metadata Produce video oder data story Publish Multi-platform distribution Popularity FIND SNIPPETS OF VIDEO/DATA FOR RE-USE ING F RAIS TION O C NAL DAT STORAGE TRA E ) ATIO A MO ABS TORAG SULES ADVANCED CAPABILITIES FOR CLOUD-BASED STOR PUT GE COM ORA FED BILITY A ACCESS S AC AP AGE ST ERA TION ND RIGHTS DAT (M ETA SECURITY CLOUD PURE STORAGE LAYER - KEEPING FILES AND VERSIONS OF FILES OVER TIME Visualization inspired by „A Web Site Designed“, created by John Furness of Simple Square
  42. 42. #5: PATTERN CHANGE
  43. 43. Q: PATTERN CHANGE? A: LOOKING INTO THE DATA, USING WHAT WE FIND FOR GOOD PURPOSES CAN RESULT IN A BIG SHIFT OF POWER
  44. 44. QUIZ: WHAT ARE AR THE INSIGHTS & TOOLS FUTURE GENERATIONS WILL THINK ARE OBVIOUS?
  45. 45. WHAT CAN BE DONE? (MOST EXAMPLES ON THIS PAGE ARE LINKED) SURPRISE CLARITY TRUST
  46. 46. #HOPE: MEDIA COMPANIES BECOMING TRUSTED DATA HUBS
  47. 47. THE FUTURE: INSTANT CLARITY BEFORE WE MAKE DECISIONS Source: Visua.ly
  48. 48. THE FUTURE: INSTANT CLARITY BEFORE WE MAKE DECISIONS Source: Visua.ly
  49. 49. THE FUTURE: INSTANT CLARITY BEFORE WE MAKE DECISIONS Source: Visua.ly
  50. 50. FINALLY: THE CALL TO ACTION (1) LET‘S WORK TOGETHER (2) DEVELOPERS/JOURNALISTS/VISUALIZERS (3) SMALL TEAMS CAN ROCK THIS PLACE
  51. 51. Caution: There’s no standard career path to become a deconstructor of wrongness Quote from David H. Freedmann, „Wrong“, Review of Book http://www.nytimes.com/2010/06/11/books/excerpt-wrong.html
  52. 52. THANK YOU! Brian Storm Simon Rogers Walter Mossberg Rafat Ali Ariana Huffington Aron Pilhofer Jeff Jarvis Nicolas Kayser-Bril Michelle Minkoff Mercedes Bunz Mathias Eberl Lorenz Matzat Tracy Boyer Paul Bradshaw Amanda Cox
  53. 53. HOUSEKEEPING: HOW TO CONNECT Twitter: #ddj Please use this hashtag for „data-driven journalism“ - it‘s nicely short Survey: The survey to find out about training needs for data journalists is still open (as of July 2011) http://www.surveymonkey.com/s/data_journalism Data-driven journalism group @ EJC +150 people discussing and developing. http://community.ejc.net/group/datadrivenjournalism Data-driven journalism website http://datadrivenjournalism.net/ My website: http://www.mirkolorenz.com
  54. 54. IDEAS, DISCUSSION, ARGUE? TWITTER: #DDJ @MIRKOLORENZ Some ideas and concepts presented here have received funding from the European Community's Seventh FrameworkProgramme (FP7/2007-2013) under grant agreement n° 257019 (VISION Cloud)
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Data-driven journalism: Data in the newsroom These are the slides from my talk at OK Con 2011. It provides a brief overview, then discussess barriers and challenges for data-journalism. NOTE: This version is slightly edited, I primarily cleaned up missing image credits, etc. The message is the same. CC-BY 3.0

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