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Data journalism: The myths and the magic ASNE Convention Washington, DC June 25, 2013

Data journalism: The myths and the magic

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Data journalism: The myths and the magic. ASNE Convention Washington, DC June 25, 2013. Myth: Data journalism is a (single) discipline. The 3 dimensions of data journalism. Computer-assisted reporter. News applications developer. Data visualization specialist. - PowerPoint PPT Presentation

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Page 1: Data journalism: The myths and the magic

Data journalism: The myths and the magic

ASNE ConventionWashington, DCJune 25, 2013

Page 2: Data journalism: The myths and the magic

Myth: Data journalism is a (single) discipline

Page 3: Data journalism: The myths and the magic

Data visualizationspecialist

Computer-assistedreporter

News applicationsdeveloper

The 3 dimensions of data journalism

Page 4: Data journalism: The myths and the magic

Computer-assisted reporter• Former home: newsroom city desk• Likely core skills:– “data state of mind” for reporting– can “interview” data – find stories in

data– can negotiate for data with government

agencies• Software: Excel, Access, mySQL

Jennifer LaFleurPro Publica

CAR director

Page 5: Data journalism: The myths and the magic

News applications developer• Former home: IT department or non-

journalism business• Likely core skills:– “back end” (server) programming– database configuration and

administration– understands what ideas are easy and

hard to execute in code• Software: Ruby/Rails; Python/Django,

mySQL

Brian BoyerNPR

News apps editor

Page 6: Data journalism: The myths and the magic

Data visualization specialist• Former home: newsroom graphics

department• Likely core skills:– can make data interesting and

accessible even in static print form– understands good visual design

principles• Software: Mapping (ArcGIS, Google

Maps, Leaflet), Javascript visualization libraries (e.g., D3)

Kat DownsWashington Postgraphics director

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does not always equal

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Filling these roles in your newsroom• Almost no one has all these skills• Unless you are a major news brand, you may not be able

to hire people with a long, proven track record in any of these areas

• No matter whom you hire, you (and they) should expect that they will need to keep learning

• Without a data-journalism culture in your newsroom, you won’t be able to keep good people

• The best solution: “grow your own”: train your staff, cultivate students before they graduate

• Think long term: you won’t get from 0 to 60 with a single hire

Page 41: Data journalism: The myths and the magic

Computer-assisted reporter

• Journalism schools – especially those with computer-assisted reporting courses

• Your own reporters who:– Already use spreadsheets

in reporting– Are comfortable with

math and data– Use numbers effectively

in their stories

• IRE/NICAR – Data “boot camps”– Annual conferences– Newsroom training

• NICAR-L• SPJ & Poynter training

programs• PowerReporting.com

(Bill Dedman) training

WHERE TO LOOK RESOURCES

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News applications developer

• Computer science schools – especially those with practical (not theoretical) focus

• Knight Scholarships at Medill – seeking industry partners

• Your own developers who:– Are interested in journalism– Participate in “OpenGov”

projects– Use contemporary tools

(Ruby, Python, PHP, JavaScript)

WHERE TO LOOK RESOURCES

• Courses in Web programming:– Codeacademy.com– Forjournalism.com– Lynda.com

• Books on programming in Ruby, Python, Javascript

• IRE/NICAR “boot camps”– Mapping– Web programming

Page 43: Data journalism: The myths and the magic

Data visualization specialist

• Journalism schools – especially with programs in news graphics

• Other schools (engineering, design, etc.) with mapping or data visualization courses

• Your graphic artists who:– Like working on data-intensive

graphics– Are comfortable with math and

data– Have some experience with GIS

systems and/or Javascript

WHERE TO LOOK

• Visualisingdata.com (Andy Kirk) courses

• Alberto Cairo’s book The Functional Art

• MIT Open Courseware: “How to Process, Analyze and Visualize Data”

• Courses in JavaScript & mapping: – Codeacademy.com– Forjournalism.com

RESOURCES

Page 44: Data journalism: The myths and the magic

Developing a data journalism culture

• Make sure at least one *editor* develops literacy in these areas

• Don’t have preconceived notions about what the right presentation approach is

• Develop data-related ideas as a team – with all three “dimensions” represented

• Have regular events where people interested in this topic can come together and learn

• Commit to ongoing development of your staff – tuition support, travel, newsroom training– Especially important: IRE’s CAR conference