Reproducibility crisis in science, including computational sciences, is a serious, well-known, and well-documented problem, which demands an outstanding effort from the entire research community to be solved. In order to bridge this aforementioned reproducibility gap, Information Systems (IS) journal has launched a novel reproducibility initiative to allow the exact replication of published results in a fast, reliable, and straightforward manner, which consists in inviting authors to publish reproducible papers providing a detailed reproducibility protocol, together with a supplementary collection of software and data. This talk introduces the IS reproducibility initiative, as well as the reproducibility practices encouraged by it, and some examples of reproducible papers. Suplementary documents: Talk Slides, Reproducibility guidelines