GIJN’s Data Journalism Top 10: Luanda Leaks, A Disappeared Lake, Animated Graphics, Data Mapping, NICAR

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 13 to 19 finds the International Consortium of Investigative Journalists exposing how Africa’s richest woman really made her fortune, The Washington Post using satellite imagery to show the disappearance of an entire lake in the Philippines, El País sharing the behind-the-scenes process of their work, and Mike Reilley curating a mega list of useful data journalism tools.

GIJN’s Data Journalism Top 10: New Tools for Chartmaking and Sonification, 3D Data, Hedgehog Maps, Editable Spreadsheet Images

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 4 to 10 finds several interesting tools and feature releases: @FinancialTimes’ chartmaking tool, @datavized’s data sonification tool and a new feature on @Microsoft’s Excel app that converts printed tables into editable spreadsheets, as well as @alice_corona’s discussion of building 3D data experiences, and @alyssafowers coining the term “hedgehog maps.”

This Week’s Top 10 in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 19 to 25 finds economist @SethS_D analyzing Spotify data to find the correlation between our birth year and our music influences, @infowetrust illustrates three centuries of iconic infographics in a beautiful 17th century-styled dataviz and @EdjNet’s Stats Monitor gives you #ddj news leads on European data.

This Week’s Top Ten in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from September 25 to October 1 has @FT mapping the route in a day of a London Uber driver, #NICAR18 registration opening up, @Lattif charting Africa’s internet shutdowns using @atlascharts and loads of German election data visualizations.

Peer Reviewing Our Data Stories

As journalists who analyze data for stories, we strive to hold ourselves accountable to a high standard of accuracy. But checking our work is rarely a straightforward process. Newsroom editors and fact-checkers might not have enough data expertise. Often, we need an outside opinion. Ideally, we could ask each other for advice, or even turn to experts in other fields for help. In academia, asking for outside comment before publication is broadly referred to as “peer review.”