Are you considering depositing your research data in the University of Guelph Research Data Repositories (housed in Borealis, The Canadian Dataverse Repository)? In this brown bag, participants will learn about best practices for preparing data for deposit in the U of G Research Data Repositories. These practices support creating FAIR (findable, accessible, interoperable, and reusable data) and cover selecting and structuring data, file naming and organization practices, selecting preferred file formats for deposit, documenting dataset metadata, and creating supplemental documentation for your data files.

This presentation will cover:

• Recognizing different types of research data.
• Listing the FAIR data principles.
• Applying best practices for preparing data for deposit.
• Describing the data deposit process for the U of G Research Data Repositories
• An overview on how to use and deposit data into the University of Guelph Research Data Repositories in Borealis, A Canadian Dataverse Repository.
• Questions from audience members.