#MuckedUp chat Tuesday: Dissecting data for good storytelling
You could argue that data journalism is the best thing that’s happened to storytelling in recent memory. Although the term seems already ubiquitous, what you mean when you use it varies from journalist to journalist; the only common consensus seems to be that it’s the process of using data to improve the news. Of course, that process could range from leveraging databases to improve investigations, to posting a relevant dataset in a story’s sidebar, or, at perhaps the zenith of journalism, using it to craft interactive data visualizations like that of Snowfall. No matter the usage, however, it’s the process that remains paramount, and that’s also the part that proves most daunting. Is data journalism only for programmers? Plus, there are plenty of snags and stumbling blocks that are unique to data journalism -- what do we do when we encounter them, to make news simpler and clearer rather than complicating it?
We’re in luck, because this upcoming Tuesday’s #MuckedUp guest is award-winning database journalist and author Sean Lahman. Lahman is known for developing interactive databases and data driven stories for the Rochester Democrat and Chronicle as well as other Gannett newspapers and websites. In addition to penning a weekly column on emerging technology and innovation, Lahman has broken new ground in the field of sports statistics, creating historical databases for use in both print and digital projects. In particular, his Baseball Archive web site was one of the earliest sources for baseball information on the Internet, and he headed the first significant effort to make a database of baseball statistics freely available to the general public. Join us on Twitter for another insightful #MuckedUp tweetchat, this Tuesday, April 15 at 5 p.m. PST/8 p.m. EST, when we’ll pick Lahman’s brain on the topic he knows best!