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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 […]

Introduction to Python

McMaster University

This beginner level workshop will introduce you to the basic concepts of the world’s most popular Python programming language. You’ll learn to store data in Python data types and variables, as well as learn how to perform operations on numbers and strings. Python IDE Anaconda will be briefly discussed. No prior knowledge of Python is required.

Storage Scores: Store and Back Up Data at McMaster

McMaster University

From very small tabular datasets to mid-size mixed methods records to the titan data for Advanced Research Computing, researchers at McMaster have a wide range of needs for storing research data. But what options are available? What are some workflows when you’re working alone vs with a research team? What’s available if you need a bit more? Join us for a session on research data storage and backup. In this workshop, we’ll start with an overview of different storage platforms available to you as a researcher, their features and drawbacks, and outline data backup and security principles. Then, we’ll share information about the Digital Research Alliance of Canada’s annual Resource Allocation Competition and how researchers can start working with large-scale computational resources. Note: This webinar will be for researchers who are curious about the Resource Allocation Competition but have not accessed it yet. For those who are already accessing it and would like more information, please see the Intermediate High-Performance Computing session with Sergey Mashchenko.