Global Investigative Journalism Network (https://archive.gijn.org/category/data-journalism/page/45/)
People regularly ask what tools to use or what programming language to learn for data-driven journalism (ddj). There is no right answer for it, especially considering that technology and tools available are evolving quickly in the field.
What’s the data-driven journalism crowd tweeting? Here are the top links for April 19-25: Amazon delivery & race (@business); Cartodb.js map (@maartenzam); ICIJ slides (@cabralens); SRF data GITHUB (@SRF); France immigrant dataviz (@data_match); Flint’s water (@nytimes); and more.
The story published in the Washington Post’s Wonkblog ended up being about race, but it didn’t start out that way. Nick Diakopoulos, who leads the lab, wrote for the Wonkblog last year with a story on how surge pricing motivates Uber drivers to move to those surging areas, but does not increase the number of drivers on the road as Uber claims.
What’s the data-driven journalism crowd tweeting? Here are the top links for April 26-May 2: Pirated Papers (@sciencemagazine); Panama Papers tech (@ICIJorg); Europe Open Research (@ddjournalism); Water Webinar (@code4africa); 6 Data Story Rules (@DataScienceCtrl); German E-Cars (@BR24); & more.
Some of the best tips and techniques come out of the annual meetings by our colleagues in Scandinavia, and this year is no different. More than 600 participants attended the SKUP conference in Tønsberg, Norway, on April 8-10. Among the tip sheets presented was this gem of 25 practical tips that reporters in even the smallest newsrooms can use to good effect, focused on finding great characters and cases to bring your story to life.
Facebook and Google and their humongous data crunching machines flourish while fine media wilt. How to compete? They take media’s original costly-to-produce-content for free and make it available to users to circulate, anticipating their needs with their intelligent algorithms.
The trove of files that make up the Panama Papers is likely the largest dataset of leaked insider information in the history of journalism. For ICIJ’s Data and Research Unit, it offered a unique set of challenges. The overall size of the data (2.6 terabytes, 11.5 million files), the variety of file types (from spreadsheets, emails and PDFs to obscure and old formats no longer in use), and the logistics of making it all securely searchable for more than 370 journalists around the world are just a few of the hurdles faced over the course of the 12 month investigation.
What’s the data-driven journalism crowd tweeting? Here are the top links for May 3-12: #ddj awards (@GENinnovate); China’s EU stereotypes (@foreignpolicy); Atlantic slave trade (@slate); French employment (@Data_Match); Germany’s green cities (@morgenpost); bubble maps (@datawrapper); & more.
With the aim of contributing to the promotion of data-based investigations and asserting its vision of journalism as an essential service to democracy, OjoPúblico has published “La navaja suiza del reportero. Herramientas de investigación en la era de los datos masivos” (“The Swiss Army Knife Journalist: Digital Research Tools in the Era of Big Data”), a resource for Hispanic reporters who want to become familiar with the world of data journalism and, above all, to understand its meaning and relevance in Latin America and the world.
What’s the data-driven journalism crowd tweeting? Here are the top links for May 13-24: Best dataviz of the year (@Gizmodo); 85 tools for digital journos (@Journalism2ls); missing women in Mexico (@Univ_Data); how to analyze big leaks (@M_Mandalka); news graphics collection (@marijerr); & more.