Explicitly documenting hypotheses, materials, methods/procedure, data, and analysis code facilitates cumulative science. It is often difficult to exactly recover some of these aspects, and usually impossible to automate this process. We will present a preliminary version of a framework (with an associated R package and shiny app) for organising this information in a machine-readable way and automatically producing human-readable summaries. This framework can integrate with other projects to document study planning decisions (e.g., justifier), data (e.g., Psych-DS, codebook), and methods (e.g., experimentum, formR). The goal of this hackathon is to evaluate the framework and to generate (and possibly implement) additional features that will be useful for registered reports, meta-analyses, replication, and reproducibility. [Scienceverse R Package](https://scienceverse.github.io/scienceverse/) [Registered Reports Tutorial](https://scienceverse.github.io/scienceverse/articles/registration.html) Hackathon Slack Channel: [h_open_documentation](https://sips-2019.slack.com/messages/CKAHWFTKK) [Hackathon Google Doc](https://docs.google.com/document/d/1DKhnypsG__XG9k_16smU3IJDYGgnxFP5LHw4P6Qh50g/)