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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 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. extended.\\  Best of all, the credit flows back to your original work!  Now it's even easier to incorporate IPython Notebook functionality 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 the data} in json, csv, or dat format and \textbf{Attach the IPython Notebook file}.   Now your readers can \textbf{Launch IPython} directly in their browsers, browsers (by clicking on the link in the bottom left of your figure block),  see your data, annotated data and code,  and test and adjust your code. it.  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. Find below a couple simple examples. Feel free to fork it!