This is an open, work-in-progress resource to learn about the concepts driving RDM Academy and best practices to follow to maximize reproducibility. Currently there are two formats of information in the form of guides and a general reference.
Guides introduce concepts related to reproducibility and best practices to follow pertaining to data management and the like.
The reference is a quick lookup for a fairly terse, but informative description of a concept and its role in the research data management or reproducibility context.
If this is your first time here, read the introduction on reproducibility, what it is, and why it matters.
If you are looking for something specific, use the search box in the upper left corner or browse the table of contents on the left side. If you don't find what you are looking for please ask a question on the community discussion!
Want to contribute to this site? All of the documentation is Open Source on GitHub in the rdm-academy/docs repo. You can also click the "Improve this page" link at the top of each page to take you directly to GitHub to edit and propose changes for the page.
Want to add a new guide or add to the reference? Open an issue and propose the idea!
Are you more interested in Q&A? Join the community discussion and help out fellow researchers.