What’s got the data-driven journalism crowd tweeting about? Here are the week’s Top Ten links for Feb 27-Mar 5: cool #NICAR15 tools + tutorials (@MacDiva), mapping power in Africa (Guardian), how to find, extract + use #OpenData (IJNet), and the history of immigration in England + Wales (Times of London).
Open Data is spreading across the globe and transforming the way data is collected, published, and used. But all of this is happening without well-documented standards, leading to inconsistent metadata, no or little corroboration of sources, and conflicting terms of use. The Data on the Web Best Practices Working Group is working to change this.
What’s the data-driven journalism crowd tweeting about? Here are the week’s top ten data journalism links for Feb. 20-26: @jeffrey_heer on data viz’s future (O’Reilly Media), measles in Germany (Der Spiegel), Open Data boosts democracy (Guardian), Greece’s debt (WSJ), cheap data tools (@nilmulvad), and more.
Newsrooms don’t need large budgets for analyzing data–they can easily access basic data tools that are free or inexpensive. Editor and Associate Professor Nils Mulvad explains how.
Telling us that traffic accidents happen on streets over time is nice, but it’s just the beginning of an Open Data Odyssey that governments, civil society, and other organizations must begin together to document and describe the tertiary impacts of these events, and many other events, on our collective experiences and lives in large urban ecosystems like New York.
What’s the data driven journalism (#ddj) crowd tweeting about? Here are the Top Data Journalism Links on Twitter for the last two weeks, September 3-17. Included are items from the crowdsourcing, cross-border project Generation E; Detective.io; ICIJ; Switzerland’s Le Temps; and Germany’s CORRECT!V, FAZ, and Berlin Morning Post.
“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!
What’s the data driven journalism (#ddj) crowd tweeting about? Here are the week’s Top Data Journalism Links on Twitter (for July 23-August 7), including items from Mother Jones, The Economist, and The New York Times, among others.
How can media make sense of a country that has over 1.2 billion people (about 17 percent of the global population), close to 800 languages, an electorate of 814 million, and the largest urban agglomeration in the world? How does one plan for a country where, at the end of 2012, about 22 per cent of the population lived below the poverty line (with a daily spending of less than about US45 cents in rural India and US55 cents in urban India), but which also has 89 billionaires and features fifth in the Global Rich List?
You couldn’t work as a journalist, if you were not able to do an interview. The same applies to data journalism in the age of digitization” – says Nils Mulvad, a world renowned data journalist, editor at Kaas & Mulvad and associate professor at The Danish School of Media and Journalism during the Data Harvest 2014 conference.
