Search the Online Learning Catalogue
Welcome to the Sherman Centre’s searchable Online Learning catalogue. Navigate 90+ event recordings, online modules, and webinars on the bar below.
Not sure what you’re looking for? Use one or all of the filters below. You can also view a text list of these resources, sorted by original workshop or event series.
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Showing 1–12 of 102 results
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3 Top Tips for RDM and How to Create an ORCiD Account
Your profile as a researcher is a story that you create, and you will need an online presence that is separate from popular social media. Learn to distinguish yourself by creating a free ORCiD account that automatically showcases your academic activities, ensuring you get credit for your work. Set up your research project for success with good data management practices. Learn to organize and document your data. Follow a few simple tips to keep your data safe and ensure that your thesis isn’t taken down by a hard drive failure.
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3D Modelling and Printing
This day-long workshop explored 3d modelling and printing. The group took a physical object from the real world, used a series of sophisticated software to render it into a 3d model, and then learned how to print that model on a 3d printer.
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Before You Dig: Finding and Reusing Datasets
Are you starting a research project? There may be existing datasets that could inform the work you’re doing and ensure you’re digging into new research areas. Along with systematic literature review and active participation in your field, a dataset search is another tool to inform your research context.
Learn more about finding and reusing datasets in data repositories across the world. Find potential new collaborators, verify or reproduce results, expand on existing data, and more!
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Best Practices for Managing Data in your Research
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.
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Building a Data Management Plan
Confucius said “One who does not plan long ahead will find trouble at his door”. In research, planning for data management helps you prepare for data questions and problems before they happen.
In this session, we will go over principles of data management planning and go through a demo of the Portage DMP Assistant, a web-based tool for developing and collaborating on Data Management Plans in the Canadian research context.
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Building Digital Exhibits: A Roundtable Celebrating the Launch of Omeka S at McMaster
Learn about the variety of uses and possibilities for digital scholarly exhibits with the digital exhibit platform Omeka S. In this roundtable. members of the McMaster community will share some of their experiences working with Omeka in classroom projects, research dissemination, organizing digital collections, and more.
Find out if Omeka is the right tool for your next classroom or research project!
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Building JavaScript Websites 1: Styling Modern Web Apps
Are you building your own web site using JavaScript and frameworks? In this first workshop of the Building JavaScript Websites series, learn to apply consistent design standards to a JavaScript web site.
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Building JavaScript Websites 2: Designing for Mobile UI
Are you building your own web site using JavaScript and frameworks? In this second workshop of the Building JavaScript Websites series, learn to design your web site to work for desktop and mobile sized screens.
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Building JavaScript Websites 3: Easy Steps to AODA Compliance
December 3 is International Day for Persons with Disabilities! Are you building your own web site using JavaScript and frameworks? In this third workshop of the Building JavaScript Websites series, learn to adapt UI controls in a JavaScript web site to be accessible.
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Business Data and Statistics
Learn how to understand and access business data and statistics from a variety of sources.
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Cleaning Up Messy Data with Python and Pandas
Raw data often require special preparation for efficient statistical analyses and visualization. This workshop will introduce useful Python functionality along with the pandas package to help organize your raw data and create a clean dataset. Participants will learn how to read multiple CSV files, filter and manipulate their data, and then combine them into a single dataframe according to best practices.
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Computational Approaches to Text Preparation and Analysis
Are you interested in textual analysis but unsure about where to start? Join us for an interactive “no experience required” introduction to the fundamental concepts, processes, and methodological approaches for preparing and analyzing text using computational approaches.