We’ve all been there: a reviewer or supervisor asks for your analysis, and you realize you have no idea how you got those results. This workshop is a judgment-free zone for anyone who’s lost track of their own work, it happens! 

We’ll explore why research reproducibility and replicability matter, what happens if it’s not, and how to detect unreliable research around you. This workshop will also explore tools and techniques to make your research reproducible—even if you’re starting from a pile of mystery scripts. Learn how to document, automate and share your workflows so future-you (and others) won’t be left in the dark.

By the end of the workshop, participants will be able to:

•    Understand the principles and importance of reproducible and replicable research

•    Learn strategies for creating, maintaining and sharing reproducible research

•    Learn how to start identifying unreliable data around them

Reproducibility: because your future self deserves better than "I swear it worked once!"

This is an online event, please register to receive the event link. This workshop will be recorded, and the recording and workshop materials will be available online and sent to all registrants after the workshop. If you have accommodation requests or questions, reach out to [email protected] with your needs.   

Please note: This is the third of a four-part workshop series related to data and research data management. You do not need to attend all four; please register for each workshop separately.