Date: 12 February Need to create a map, but don’t know how? Have you been asked to analyze geospatial data and you are wondering where to start? This introduction is […]

Date: 13 February 2024 This session will serve as a walk-through demonstration of how to use the Data Management Plan (DMP) Assistant tool. A high-level overview of research data management […]

Date: 13 February 2024 This presentation will aim to provide a high-level overview of Canada’s research data management landscape, focusing on sensitive data involving human participants in the context of […]

Date: 13 February 2024 This session will provide an overview of three nationally-supported Research Data Management (RDM) Platforms and Services, the Federated Research Data Repository (FRDR); Borealis, the Canadian Dataverse […]

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.

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.

Date: 14 February 2024 We’ll be presenting the main features of Stylo, a web-accessible semantic text editor for writing in the humanities and social sciences. Since the project’s launch in […]

Date: 14 February 2024 This workshop will introduce the Text Encoding Initiative (TEI): the de facto standard in the humanities for creating digital texts. In this workshop, we will discuss […]

This workshop will introduce attendees to techniques for scraping information from the web using Python’s Beautiful Soup (bs4) toolkit. We will begin with a basic overview of the “anatomy” or structure of a webpage. Students will then learn how to write a script for extracting textual data from websites like Reddit and organizing it into spreadsheets. The second half of the workshop will explore how to use Python’s Pandas library to clean and analyze your data. In addition to technical skills, students are encouraged to engage with critical questions like: What is web scraping for and what can we, as researchers, learn from publicly available data? What are the potential ethical and legal challenges of data harvesting, and how do we do it responsibly?

Date: 15 February 2024 Using a single environment for all stages of your research project can help you organize your work. To this end, our team recommends JupyterLab, a software […]

Date: 15 February 2024 R is a free and open-source programming language for statistical computing, modelling, and graphics, with an unbeatable collection of statistical packages. It is extremely popular in […]

Date: 15 February 2024 In this short session, we will demo some of Python’s capabilities to researchers new to the language, starting with multiple ways to run Python, high-level data […]