Reproducible research means setting things up so that after a late-night moonlight and caffeine powered deep work breakthrough you can wake up the next morning and know what you did and explain it to your supervisor. It also means that research results can be verified independently, and researchers can more easily share and use methods […]
Formation réservée pour les personnes étudiantes aux cycles supérieurs. NVivo est un logiciel en soutien à l’analyse qualitative. Il facilite l’organisation et l’analyse de données non structurées. Cette initiation présentera les fonctionnalités de base du logiciel : Les informations de connexion (lien Zoom) seront envoyées par courriel à votre adresse UQAM. Informations importantes : Guides liés: NVivo par […]
Learn the fundamentals of Structured Query Language (SQL) through a hands-on introduction using SQLite Online, a free, browser-based environment that requires no software installation. This beginner-friendly workshop will introduce participants to the basic concepts of relational databases and provide practical experience writing and running SQL queries. Participants will learn how to retrieve, filter, sort, and […]
Want to explore how people, ideas, or objects are connected? In this virtual workshop, you will learn how to use Gephi, a free and open-source tool designed for network visualization and analysis. We will focus on how graph data can help express relationships between entities, perfect for exploring everything from social networks to historical connections. […]
Welcome to this workshop on R and R studio! In this session, participants will learn the basics of coding in R, and will become familiar with using RStudio. We will cover creating objects, importing and working with data, using the basic libraries, and performing simple operations. This session is suitable for beginners with no prior […]
Are looming requirements for data retention, deposit, and availability getting you down? Or maybe a journal is asking you to deposit your research data and you don’t know where to start? Get readier for requirements with this quick, timely webinar. Data deposit and data sharing are increasingly recognized as best practices to support open research, […]
Python has been one of the most popular programming languages for the past 20 years. Today it is a key language for data analysis in a huge number of fields, including many in the social sciences and humanities. This introductory workshop will walk you through the basics of programming in Python. You will be introduced […]
TIFU (Today I F’ed Up) by losing a ton of data for my research – Have you ever seen a description like this on Reddit? Are your desktop and downloads folders a jumble of files named Data-finalFINAL-USETHISONE? Is all of your lab’s data stored on a single drive located conveniently under a sprinkler system? Join research […]
Looking for data to support your digital mapping project? Geospatial data contains location-based information that can be analyzed and visualized using Geographic Information Systems (GIS). Working with spatial data can help researchers uncover patterns, explore relationships, communicate insights effectively, and support evidence-based decision-making. In this workshop, participants will be introduced to common geospatial data formats […]
Bibliometric analysis is a powerful research method that uses publication and citation data to examine the impact, structure, and evolution of scholarly literature. This introductory workshop provides a practical foundation in bibliometric analysis, covering the key concepts, methodologies, and tools used to assess research performance and explore trends within academic disciplines. Participants will learn how […]
Do you have a story idea but are not sure where to begin? Are you curious about how digital tools can support your creative process? In this beginner-friendly workshop, you will be introduced to digital tools and techniques for planning, designing, and creating interactive and potentially non-linear stories. We will explore the digital storytelling process […]
Register here! Instructor: Marie-Hélène Burle is an evolutionary and behavioural biologist by training, a Software/Data Carpentry instructor, and an open source advocate. She develops and delivers high-performance computing and machine learning training for researchers at Canadian universities on behalf of Simon Fraser University and the Digital Research Alliance of Canada.