Research-Data-Workshop-Series

Agri-food Research Data Workshop Series

Hosted by Agri-Food Data Canada at the University of Guelph.

Summer 2023

1. Registration

Click here to register for FREE for the Summer 2023 Workshop Series

2. Location

• In-person: University of Guelph, Animal Biosciences Building, Room ANNU 102, Guelph, ON N1G 2W1
• Online: MS Teams link sent upon registration

3. Schedule

Workshop 1: The Data Life Cycle and your Role as a Researcher (April 12)

Click here for the slide notes

1. The beginnings of data management
2. Review the data life cycle

Workshop 2: Data Management Plans (April 19)

Click here for the slide notes

1. What are DMPs?
2. How do you use DMPs?

Workshop 3: New Ontario Dairy Research Centre Data Portal (April 26)

Click here for the slide notes

1. Learn about the Ontario Dairy Research Centre Portal and what is available to access

Workshop 4: Documenting your Data (May 3)

Click here for the slide notes

1. Learn why it is important to document your data and different ways to do it

Workshop 5: Introduction to R (May 10)

Click here for the slide notes and here for the workshop sample data

1. Learn about R and how to get started

Workshop 6: Documenting your Data and Processes with R Markdown (May 24)

Click here for the slide notes

1. Learn about R Markdown and how to get started
   • Participants MUST have R experience or have attended the May 10 Introduction to R session

Workshop 7: R Shiny (May 31)

Click here for the slide notes and here for the workshop sample script and data

1. Learn about R Shiny and how to get started
   • Participants MUST have R experience or have attended the May 10 Introduction to R session

Workshop 8: Introduction to GitHub (June 14)

Click here for the slide notes

1. Learn about GitHub and how to get started

Workshop 9: Introduction to Linux (June 21)

Click here for the slide notes

1. Learn about Linux and how to get started

Workshop 10: AllInOne Pre-Processing: A Comprehensive R-Shiny Package for Preprocessing Phenotypic Datasets (June 28)

Check out the AllInOne repository and wiki page on GitHub

1. Learn more about the AllInOne Pre-processing R-Shiny user interface package

• AllInOne streamlines the pre-processing of phenotypic data, enabling R users to swiftly and accurately ready their data for further analysis