Preparing for Reproducibility
Agenda
Session 1, Monday Sep 29 1-2:30p EDT
Journals require that you share your code and data in a replication package upon acceptance. However, efficient reproducibility starts at the beginning of the research project. Following some best practices from day 1 can not only help you prepare a replication package later, but also make you a more productive researcher. In this workshop, Lars will start with an empty folder and finish with a mini-project about public procurement across various European countries, ready for submission to a journal. Together we discuss and document all the choices to make about data collection and analysis, in a way that can help future readers of our research. For advanced topics, see Session 2.
Session 2, Tuesday Sep 30 noon-1:30p EDT
Lars will discuss best practices with respect to data issues and computational issues in complex replication packages. Confidential data, big data, proprietary data, simulated data, containers, custom software, high-performance computing are all possible topics. Questions from the audience are encouraged. Participants are encouraged to also attend Session 1.