Data Journalism’s Top Ten

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 21 to 27 has useful digital forensics tools from @bellingcat, mathematician Cathy O’Neil warning us about blind faith in big data and an analysis of Delhi’s insane dowry demands by @htTweets.

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

Here are the hottest data journalism tweets for Jan 16-22, per our NodeXL mapping: dataviz catalog (@flowingdata); Inaugurations compared (@pewresearch); big data & polls (@ddjournalism); Hispanics in America (@UniNoticias); Le Monde data (@decodeurs); Obama’s record (@nytimes); & more.

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

What are the hot data journalism tweets? Here are top links for Dec. 5-11: pie chart abuse (@johngrimwade); transit data tool (@ddjournalism); big data stories (@BigDataGirl); US diversity map (@PostGraphics); ddj survey (@Bahareh360); Swiss sprawl (@srfdata); dataviz types (@pol_ferrando); more.

OjoPúblico Launches Data Journalism Guide

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 Is Big Data?

“Big Data.” It seems like the phrase is everywhere. The term was added to the Oxford English Dictionary in 2013, appeared in Merriam-Webster’s Collegiate Dictionary by 2014, and Gartner’s just-released 2014 Hype Cycle shows “Big Data” passing the “Peak of Inflated Expectations” and on its way down into the “Trough of Disillusionment.” Big Data is all the rage. But what does it actually mean? we asked 40+ thought leaders in publishing, fashion, food, automobiles, medicine, marketing, and every industry in between how exactly they would define the phrase “Big Data.” Their answers might surprise you!