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Data-driven, Interactive Scientific Articles in a Collaborative Environment with Authorea

N928 300 Jay St., Room N928, Brooklyn

Most tools that scientists use for the preparation of scholarly manuscripts, such as Microsoft Word and LaTeX, function offline and do not account for the born-digital nature of research objects. Also, most authoring tools in use today are not designed for collaboration, and, as scientific collaborations grow in size, research transparency and the attribution of scholarly credit are at stake. In this talk, I will show how the Authorea platform allows scientists to collaboratively write rich data-driven manuscripts on the web--articles that would natively offer readers a dynamic, interactive experience with an article’s full text, images, data, and code--paving the road to increased data sharing, data reuse, research reproducibility, and Open Science.