Principles
From the replicability crisis to the credibility revolution
Self-Learning Course Catalog
Tutorial Categories
All Tutorials
| Topic | Tutorial | Description | Tags |
|---|---|---|---|
| Data Management | Maintaining Privacy with Open Data | A presentation on how to make data open to the public without revealing sensitive information | Open Data, Data Anonymity |
| Data Management | Introduction to Open Data | An introductory presentation on the what, why, and how of making research data open | Open Data |
| Data Management | FAIR Data Management | Take steps towards making your data FAIR: Findable, Accessible, Interoperable, Reusable | FAIR data, Data Management, Documentation |
| Data Management | Data Documentation & Validation in R | How to document, summarize, and validate your research data using R. | Documentation |
| Data Management | TBA: Data Anonymity | Implementing and evaluating data anonymization techniques in R for safely sharing sensitive research data | Data Anonymity |
| Data Management | TBA: Generating Synthetic Data | Generating Synthetic Data in R and balancing utility and privacy-preserving data sharing | Data Simulation, Data Anonymity |
| Principles | Credible Science | Learn the ins and outs of reliable, reproducible, and open research | Open Research Practices |
| Principles | Replicability Crisis | A presentation on the replication shortcomings of science and how researchers can improve | Replicability Crisis |
| Principles | Assessing Research Replicability | Lessons learned from replicating experiments in cancer biology | Reproducibility |
| Publishing Outputs | Open Access, Preprints, Postprints | Learn about the different ways to make your publications freely accessible. | Open Access, Preprints |
| Publishing Outputs | Code Publishing | Tie together your skills and publish your work | Licences, Documentation |
| Reproducible Processes | Introduction to R | Learn the basics of the R programming language | R |
| Reproducible Processes | Introduction to Version Control within RStudio | Explore the git version control software and its integrations with the popular RStudio interactive development environment | R, Git |
| Reproducible Processes | Collaborative coding with GitHub and RStudio | After learning the basics of git, apply your skills in an interactive tutorial | R, Git, GitHub |
| Reproducible Processes | Advanced Git | Learn git features like branching and gitflow, and how to take advantage of issues, pull requests, and more on GitHub | Git, GitHub |
| Reproducible Processes | Introduction to Quarto | Discover the basics of setting up computationally reproducible analyses, manuscripts, and presentations | R, Quarto |
| Reproducible Processes | Introduction to Zotero | Easily save your sources to the Zotero software, and learn how to insert these citations into your documents | Zotero, Quarto |
| Reproducible Processes | Introduction to {renv} | Make your projects reproducible by learning how to (easily) manage your R packages | R |
| Study Planning | TBA: Preregistration: Why and How? | Tutorial in progress… | Preregistration |
| Study Planning | Introduction to Data Simulations in R | How to simulate data in R to prepare your studies | Data Simulation |
| Study Planning | Simulations for Advanced Power Analyses | This tutorial provides a deeper dive into simulations in R, with emphasis on GLMs, LMEs, and SEMs | Data Simulation, Power Analyses |
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