Global Investigative Journalism Network (https://archive.gijn.org/category/data-journalism/page/12/)
You don’t need the resources of The New York Times to create a data journalism team in your newsroom. But you do need to think out the structure. Here are 10 things you should consider if you are considering setting up your own team.
Tracking some of the most popular data journalism stories on Twitter from August 23 to 29, we found a thread by Financial Times journalist John Burn-Murdoch exploring what we know so far about the long-term effects of immunizations, a look into the pandemic’s impact on the global female workforce by The Washington Post, and an investigation into teen pregnancies in Peru by OjoPúblico.
Wondering how to investigate climate change and where to find the best data? At a recent conference, science reporters from BuzzFeed News, NPR, and ProPublica shared tips on little-known data sources that can make climate change stories both easier to report and understand.
Our mapping of top data journalism links from August 16 to 22 found maps by The New York Times and Washington Post showing chaos at Kabul airport as thousands flee the Taliban, an investigation into heat-related deaths by NPR and Columbia Journalism School, a look at a mysterious poster campaign attempting to smear Germany’s Green party, and a comprehensive visualization of Earth biodiversity.
As calls for change grow louder in light of the latest IPCC (Intergovernmental Panel on Climate Change) report and in the run up to COP26 conference in Glasgow this November, it’s time to focus on how data visualization can help people grasp the challenges that lie ahead.
Two decades after US-led troops invaded Afghanistan to topple the Taliban regime, the organization has retaken control of the country. Our NodeXL mapping from August 9 to 15, found an animated map by the Financial Times showing how the Taliban captured various districts across the country before surging into the capital Kabul earlier this week. In this edition, we also feature an investigation into America’s diabetes crisis by Reuters, a look into Lionel Messi’s legacy at Barcelona by The Economist, and a piece on the history of data journalism by the Guardian.
In this edition of The GIJN Toolbox — which surveys the latest tips and tools for investigative journalists — we’ll take a look at the process of analyzing satellite imagery derived from infrared radiation, a technique The New York Times used to cover a West Coast wildfire. We’ll also explore the controversial practice of using facial recognition technology, how to request NASA satellite data, a new document search tool from Google, and more.
Our weekly project that maps the most popular data journalism stories on Twitter found several environmental projects this week, including a climate disaster in Germany, air pollution in South Asia, and deforestation in Brazil. We also feature more data-driven coverage of the Tokyo Olympics, an investigation into Bulgarian coal plants, and a guide to creating appealing data visualizations based on simple charts.
Whether it’s tables of data embedded in reports or spreadsheets saved as PDFs, journalists get lots of data in PDF format. But until you get that data into a spreadsheet, there’s not much you can do with it. Luckily, there are a few great tools that can liberate your data quickly and with relative ease.
Our NodeXL mapping from July 19 to 25, which tracks the most popular data journalism stories on Twitter each week, found imaginative data-driven coverage of the Olympics by The Washington Post, The New York Times, and other major outlets. In this edition, we also feature a piece by Reuters Graphics on how a Chinese lake has been decimated by sand mining, a cross-border investigation into the billion Euro business of elder care, and a deep dive into TikTok’s secretive algorithm by The Wall Street Journal.