OKCON 2011OPEN DATA IN THE NEWSROOMWHAT‘S THESTORY?Mirko Lorenz • Information Architect/Journalist • Deutsche Welle/Innova...
THIS IS ALL BETAneeds work
WELCOME.IF YOU ARE NEW, THIS IS THE CONTEXTThis is a presentation from at OK Con 2011 in Berlin.The topic is „data-driven ...
ME: TURNEDJOURNALISTINFORMATION ARCHITECTFOCUS: TURNING IDEAS INTOPLATFORMS, WORKFLOWS, STORIESWORKING@DEUTSCHE WELLEINNOV...
DATA IN THE NEWSROOM?
DATA IN THE NEWSROOM?NOW: OPEN DATA IS A WINNER
DATA IN THE NEWSROOM?NOW: OPEN DATA IS A WINNERNEXT: CHALLENGES AHEAD
DATA IN THE NEWSROOM?NOW: OPEN DATA IS A WINNERNEXT: CHALLENGES AHEADFUTURE: PATTERN CHANGE?
#1:OPEN DATA IS A WINNER
WE ALLNEED THEDATA
THE IDEA ACCEPTED  ON HIGH LEVELS
DATA INSIGHTS FOR EVERYONE?                        WORLD                 COUNTRYPEOPLE        CITY         GROUP    OPEN +...
DATA INSIGHTS FOR EVERYONE?    MEDIA                        WORLD                 COUNTRYPEOPLE        CITY         GROUP ...
#2:DATA-DRIVEN JOURNALISM:     WHY BOTHER?
OBSERVATIONS:MUCH PROGRESS LAST YEARSIMON ROGERS IS AN OUTLIERNEED TO TRAIN JOURNALISTSWHAT ARE LONG-TERM GOALS?
ON A GLOWING RECTANGLE NEAR YOUTHEMOVIE?   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 AT ...
NOT ALL DATA-SETS CREATED EQUAL             INCOMPLETE     WRONG                            FOCUS COMPETITION   WRONG   FO...
Journalists,where do youadd 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 talk o...
A „NEW CAMERA“ TO VIEW THE WORLD           Source: Information is Beautiful, by David McCandless,       quoted from talk o...
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 FOUNDATIONDatabase    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 DIGITALBUSINESS
#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          Team   ...
WHAT WOULD BE A GOOD WORKFLOW?     VISION Cloud Media Use Case      A workflow for video and data journalism using next-ge...
TextWHAT ARE THE STEPS?Team   Ingest      Filter                   Produce                       Publish         Distribut...
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 PURPOSESCAN 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)SURPRISECLARITYTRUST
#HOPE:MEDIA COMPANIES BECOMINGTRUSTED 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 PLACE
Caution: There’s no standardcareer path to become  a deconstructor of      wrongnessQuote from David H. Freedmann, „Wrong“...
THANK YOU!Brian Storm     Simon Rogers     Walter Mossberg      Rafat Ali    Ariana HuffingtonAron Pilhofer    Jeff Jarvis...
HOUSEKEEPING: HOW TO CONNECTTwitter: #ddjPlease use this hashtag for „data-driven journalism“ - it‘s nicely shortSurvey:Th...
IDEAS, DISCUSSION, ARGUE?TWITTER: #DDJ@MIRKOLORENZSome ideas and concepts presented here have received funding from theEur...
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Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin)

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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 2011OPEN DATA IN THE NEWSROOMWHAT‘S THESTORY?Mirko Lorenz • Information Architect/Journalist • Deutsche Welle/Innovation ProjectsJune 30, 2011 • Kalkscheune Berlin
    2. 2. THIS IS ALL BETAneeds work
    3. 3. WELCOME.IF YOU ARE NEW, THIS IS THE CONTEXTThis 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 ofdata as a rich source for good stories.Data-driven journalism is inclusive, meaning that other forms ofjournalism (investigative, computer-assisted reporting) aresurely 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 willbe new models to finance journalism. And why not, if the storyis good.Data-driven journalism @ Wikipedia:http://en.wikipedia.org/wiki/Data_driven_journalism
    4. 4. ME: TURNEDJOURNALISTINFORMATION ARCHITECTFOCUS: TURNING IDEAS INTOPLATFORMS, WORKFLOWS, STORIESWORKING@DEUTSCHE WELLEINNOVATION PROJECTSJOURNALISM 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 WINNERNEXT: CHALLENGES AHEAD
    8. 8. DATA IN THE NEWSROOM?NOW: OPEN DATA IS A WINNERNEXT: CHALLENGES AHEADFUTURE: PATTERN CHANGE?
    9. 9. #1:OPEN DATA IS A WINNER
    10. 10. WE ALLNEED THEDATA
    11. 11. THE IDEA ACCEPTED ON HIGH LEVELS
    12. 12. DATA INSIGHTS FOR EVERYONE? WORLD COUNTRYPEOPLE CITY GROUP OPEN + NOT-SO-OPEN DATA
    13. 13. DATA INSIGHTS FOR EVERYONE? MEDIA WORLD COUNTRYPEOPLE CITY GROUP OPEN + NOT-SO-OPEN DATA
    14. 14. #2:DATA-DRIVEN JOURNALISM: WHY BOTHER?
    15. 15. OBSERVATIONS:MUCH PROGRESS LAST YEARSIMON ROGERS IS AN OUTLIERNEED TO TRAIN JOURNALISTSWHAT ARE LONG-TERM GOALS?
    16. 16. ON A GLOWING RECTANGLE NEAR YOUTHEMOVIE? 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 EFFECTSTar 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 youadd 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 FOUNDATIONDatabase 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 TextWORKLOAD TRAINING TOO MANY DATA TOOLS TIME PRESSURE OLD-SCHOOL CMS
    35. 35. STRANGE TIMES:LAY-OFFS IN NEWSROOMS VS.TALENT SHORTAGE IN DIGITALBUSINESS
    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. TextWHAT 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 RIMPROJECT 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 PURPOSESCAN 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)SURPRISECLARITYTRUST
    46. 46. #HOPE:MEDIA COMPANIES BECOMINGTRUSTED 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 standardcareer path to become a deconstructor of wrongnessQuote 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 HuffingtonAron Pilhofer Jeff Jarvis Nicolas Kayser-Bril Michelle Minkoff Mercedes BunzMathias Eberl Lorenz Matzat Tracy Boyer Paul Bradshaw Amanda Cox
    53. 53. HOUSEKEEPING: HOW TO CONNECTTwitter: #ddjPlease use this hashtag for „data-driven journalism“ - it‘s nicely shortSurvey:The survey to find out about training needs for data journalists is still open(as of July 2011)http://www.surveymonkey.com/s/data_journalismData-driven journalism group @ EJC+150 people discussing and developing.http://community.ejc.net/group/datadrivenjournalismData-driven journalism websitehttp://datadrivenjournalism.net/My website:http://www.mirkolorenz.com
    54. 54. IDEAS, DISCUSSION, ARGUE?TWITTER: #DDJ@MIRKOLORENZSome ideas and concepts presented here have received funding from theEuropean Communitys Seventh FrameworkProgramme (FP7/2007-2013)under grant agreement n° 257019 (VISION Cloud)

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