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Best Practices for Managing Data in Your Research

McMaster University

In this introductory workshop, learn about research data management best practices and how investing a small amount of time in organizing your data now can save you a lot of time and prevent future headaches. We will go over best practices for data planning, storage, organization, preservation, and sharing.

Create Your Academic Website: The WordPress Edition

University of Toronto Mississauga Mississauga, Ontario, Canada

Researchers and faculty doing DH work will inevitably need to display their research findings or create a portfolio of work. Our goal is to equip researchers with the knowledge and […]

The Humanities and Scholarship in a Digital World (Part 2)

Toronto Metropolitan University 350 Victoria Street, Toronto, Ontario, Canada

Two parts: January 19 (10 am – Noon) and February 2 (10 am – Noon) This two-part workshop will bring together people working in the postsecondary sector (faculty, librarians, students, […]

Plotting and programming in Python for non-coders

York University 4700 Keele Street, Toronto, Ontario, Canada

Two parts: February 2 (10 am – 3 pm) and February 9 (10 am – 3 pm) This workshop, which takes place across two sessions on February 2nd and February […]

Citation analysis tools for mapping the literature

York University 4700 Keele Street, Toronto, Ontario, Canada

Citation analysis is a way of measuring the relative importance or impact of author, article, or publication, and explore links between them. Citation analysis can support the early stages of […]

Best Practices for Managing Your Code and Scripts You Use to Generate Your Research

McMaster University

Preservation of software with your research data is an important part of open research and will be a future requirement by the Tri-agencies for Data Deposit. In this introductory session, learn how you can apply research data management practices and FAIR data principles to software, and some best practices that will help you prepare for depositing the custom code and analysis scripts you use to generate and process your research data, and how these practices can help you now in developing and maintaining this work.

Sonification: Sounding and Listening as Critical Practice

McMaster University

The sounds of data are all around us: from phone notifications to car horns to the whistle at a sports game. In this two-part workshop, participants will be introduced to the theory and practice of data sonification. We will briefly delve into the history of sonification and think through the unique ways that humans process and communicate sonic information. In the first session, through interactive exercises, like virtual sound walks, participants will be introduced to approaches and theories of listening to sound critically and reflectively.

Canadian HSS Commons platform

Date: 12 February 2024 Are you interested in sharing your work and connecting with other academic or non-academic researchers using a free, open platform that combines features of social networking […]