Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are top data journalism tweets for Apr 10-16, per our NodeXL mapping: Brittany’s posh hotels (@dataspotTLG); Flourish #dataviz tool (@FastCoDesign); US health insurance (@NPR); hexagonal Europe (@MusMekh); visual vocabulary (@ftdata); data internships (@ONS); China’s rising water (@kimmelman); & more.

Helena Bengtsson: Bringing People Back to Facts

When faced with data journalism, journalists often say “Oh, I can’t do that, it’s too complicated” [or] “I hated math in school, I really can’t take the time to learn how to do this”. However, data expert Helena Bengtsson stresses that data journalism is not that hard, and insists that every journalist should have basic knowledge of how to sort and filter a spreadsheet, and do simple calculations.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are the top data journalism tweets for Mar 27- Apr 2, per our NodeXL mapping: interactive graphics (@driven_by_data); ridiculous news (@twisteddoodles); Malofiej Infographics Awards (@malofiej); Germany’s radio masts (@stimmeonline); Republicans voting with Trump (@FiveThirtyEight); & more.

Global Conference: Call for Research Papers/Abstracts (Closed)

The 10th Global Investigative Journalism Conference, to be held this November 16-19 in Johannesburg, South Africa, will again feature an academic research track, highlighting trends, challenges, teaching methodologies, and best practices in investigative journalism. Here is the call for papers that is going out to journalism professors worldwide.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are the top data journalism tweets for March 20-26, per our NodeXL mapping: record low Arctic ice (@NASA); Europe’s STEM gender issue (@MSFTnews); satellite imagery search (@ddjournalism); Western Europe terrorism (@TheEconomist); storm #dataviz (@sciam); data resources (@jschwabish); & more.

Data Biographies: Getting to Know Your Data

Too often, inexperienced data users accept the data they receive at face value. Data scientist Heather Krause cautions that data should be treated similar to a human source. Just as you’d do a background check on a human source before publishing what they told you, you need to understand your data.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are the top data journalism tweets for March 13-19, per our NodeXL mapping: #NICAR17 resources (@MacDiva); Breitbart network analysis (@CJR); climate change calculator (@FT); Trump’s Budget (@washingtonpost); Berlin pickpockets (@berlinerzeitung); Caracas jobless (@CamburYMedio); & more.