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At Authorea, we want to change the way scientists communicate and share their research. This includes giving the data behind figures a place to live. And we mean \textit{actively live}: by giving providing reviewers and  readers the ability to access your data and the code used to manipulate and plot it, your results can be easily reproduced and extended. Now it's even easier to incorporate IPython Notebook functionality into in  your articles. Simply select your plot or other image from your computer by clicking \textbf{Insert Figure} at the bottom of the block you want it under. After your new figure is in place: \textbf{Attach your the  data} in json, csv, or dat format and \textbf{Attach your the  IPython Notebook}. Notebook file}.  Now your readers can \textbf{Launch IPython} directly in their browsers, see your data, and test and adjust your code. Beyond the obvious advantages this provides for streamlining the scientific process, imagine implementing this to facilitate classroom learning or centralizing repeated analysis procedures in a lab.