Did you ever read a paper with insufficient documentation and poorly understandable data analysis? Or are you struggling with reproducing your own analyses?

We're all cheering for researchers making their data analysis reproducible, although it's kind of a struggle to do it ourselves. At this hackaton, we gather for the second ReproHack organized in Belgium. ReproHack is an acronym for Reproducibility Hackaton and encourages papers to be published with reproducible code and accessible data.

During this ReproHack, participants attempt to reproduce published research from a list of proposed papers with publicly available associated code and data. This approach should provide a low-pressure environment to actually get working with other people's code and data. Besides evaluating the analysis of papers, this hackaton is also about working together, networking and learning from each other.

More information on the approach and registration can be found here.