Research Data Management
The McGill Library provides year-round workshops and webinars on a variety of topics like writing data management plans, how to make research data open, as well as introductory and advanced research data management. For a list of upcoming workshops, please visit the McGill Library RDM Guide.
McGill's Office of Research Ethics and Compliance provides campus-wide training sessions on research with human subjects and compliance. Offerings are available to all departments. For more information, visit the Research Ethics site.
RDM Learning Program in MyCourses
The McGill Research Data Management (RDM) Learning Program is a joint initiative co-led by the Office of the Vice-Principal (Research and Innovation) and the McGill Library, with tremendous support from a large number of participating units across the university. The modules in this program focus on building the knowledge and skills to meet researcher’s RDM needs during their day-to-day research activities.
The RDM Learning Program currently has 6 modules covering relevant topics on a research lifecycle. It is now available in MyCourses here (McGill login required). You can explore the different topics and instructional videos in each module by clicking the image below.
If you are from one of McGill's affiliated hospitals or research centres and you do not have a McGill email, please submit your registration request here to access the McGill RDM Learning Program.
McGill ITS offers courses, self serve videos and lunchtime learning on practical software topics such as IT security, surveys and forms, web publishing, OneDrive and collaboration with Office 365.
The McGill Library also offers introductory data analysis workshops in Python and R. Please check the Library's Digital Scholarship Hub schedule of workshops and events for more information.
In addition, all McGill staff members have access to the LinkedIn Learning program, which offers hundreds of video courses, which you can do at your own pace, on an extensive array of software development, programming languages and other IT topics.
Calcul Québec analysts offer a range of courses on research software development. You will find introductory programming workshops on Python, OpenMP and MPI, GPU libraries, code version control with Git, data analysis with Python and big data analysis with Spark. Please see the full list and schedule of available Calcul Québec courses.
Other McGill Initiatives
Many units and initiatives offer workshops on a broad range of topics, please refer to the list below to see what is currently available.
- The Faculty of Science's Computational and Data Systems Initiative (CDSI) offers workshops on topics related to advanced statistical methods, coding and programming languages, high performance computing, machine learning and general data science.
- The McGill initiative in Computational Medicine (MiCM) offers yearly workshop series focused on life sciences aspects.
- McGill's Geographic Information Centre (GIC) offers workshops related to geospatial data science, including training on topics such as data analysis in R, Python, QGIS, ArcMap, working with LiDAR data, and more. For more information, please visit the GIC's workshop registration page.
Advanced Research Computing
The full list of ARC-related the training sessions and workshops is available on the Calcul Québec training section of their website. Our analysts conduct training sessions and host conference lunches on many key topics ranging from first steps on high performance computing servers, data analysis to parallel programming.