Reproducible research practices aren’t all or nothing.
Even small improvements to organization and documentation can help increase the transparency and reproducibility of research.
Some people will make a full workflow overhaul straight out of the gate, others will make a series of small, incremental changes to their research processes. Both of these approaches are fine, it’s all about what works best to integrating reproducible practices into your own workflow.
Figuring out how to apply examples to your particular needs can be challenging. So, before I open it up to questions and discussion here is where you can get help after this workshop.
If you need help with the OSF for Institutions at UC San Diego visit the Library Data & GIS Lab or contact the Research Data Curation Program:
research-data-curation@ucsd.edu
If you have specific questions, the Center for Open Science provides completely free, one-on-one stats and methods consulting over email and google hangouts: stats-consulting@cos.io
If you have questions about the OSF, there is a helpdesk manned by a real person who can help you through any issues or questions you might have: support@osf.io