In the first part of this talk, I will briefly discuss the NASA ADS All-Sky Survey, an ongoing effort aimed at extracting data, images and celestial object information from historical literature in the Astrophysics Data System (ADS). The ADS All-Sky Survey is essentially an experiment of reverse-engineering data-driven articles, so in the second portion of the talk, I will present an innovative way to author data-driven articles in the first place. I will present and demo Authorea, a spin-off initiative of Harvard University and the Harvard-Smithsonian Center for Astrophysics, a Git-based collaborative content creation platform that allows scientists to write rich data-driven manuscripts on the web. Authorea articles natively offer readers a dynamic, interactive experience with an article's fulltext, images, data, and code. I will also discuss how the use of Authorea can pave the road to increased data sharing, data reuse, research reproducibility, and Open Science.