Claim Your Research Identity with ORCID
Learn what a Researcher ID is, how to generate one using ORCID, and how these IDs are used in the grant submission and publishing process.
Learn what a Researcher ID is, how to generate one using ORCID, and how these IDs are used in the grant submission and publishing process.
Are you looking to solve big problems, but you’re not sure where to start? In this online workshop, Waterloo’s entrepreneurship librarian will show you how to understand the landscape of a problem and possibly identify some paths to how you might contribute to a solution.
This interactive workshop is a collaboration between the Library and the Writing and Communication Centre and is designed for graduate students who are working on a literature review as part of a project proposal, thesis or dissertation, or a standalone journal article.
Learn how to use Library tools and openly available sources to research markets and understand customer needs.
Walk through practical strategies for naming, storing and structuring your data so you can find what you need.
Learn how to research trends, competitors, and organizations to get skills that are valuable for co-op, launching a venture, or applied research.
Would you like to learn more about scoping and systematic reviews and what steps are involved when conducting each of these review types? This workshop discusses the methods of each review type, as well as how to decide which is best to use and more.
Explore why research reproducibility and replicability matter, what happens if it’s not, and how to detect unreliable research around you. This workshop will also explore tools and techniques to make your research reproducible—even if you’re starting from a pile of mystery scripts.
Systematic and scoping reviews require a rigorous and reproducible search methodology. This workshop outlines the expectations of a systematic search and provides practical experience in developing a search methodology which meets systematic standards.
In this workshop, we’ll reframe the often-tedious process of cleaning data as an act of care: for your project, your collaborators and yourself. You’ll learn how to spot and fix common issues, streamline messy data sets, and create workflows that feel less like punishment and more like progress.