Research Data Management
ƽÌØÎå²»ÖÐ Library
The ƽÌØÎå²»ÖÐ 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
ƽÌØÎå²»ÖÐ RDM Learning Program in MyCourses
The ƽÌØÎå²»ÖÐ Research Data Management (RDM) Learning Program is designed to build knowledge and skills to meet researcher’s RDM needs during their day-to-day research activities.Ìý
- For ƽÌØÎå²»ÖÐ users, toÌýself enrol using ƽÌØÎå²»ÖÐ emails.Ìý
- For users from ƽÌØÎå²»ÖÐ affiliated hospitals without a ƽÌØÎå²»ÖÐ email, please to register and specify your affiliated hospital during registration.Ìý
- For external/community users, please contact DRS at drs[at]mcgill[dot]ca for your registration.ÌýÌý
ƽÌØÎå²»ÖÐ Data Anonymization Workshop Series 2023
This workshop series aims to upskill researchers with both theoretical and practical knowledge in data anonymization and de-identification of sensitive data to promote and facilitate data deposit and data sharing best practices.
Quantitative Data Workshops
- Workshop 1 - Reducing risk: An introduction to data anonymizationÌý
- Workshop 2 - ARX:Ìý Anonymising data in theory and practice
- Ìý
Qualitative Data Workshops
- Workshop 3 - Ethically sharing qualitative data
- Workshop 4 Ìý- Qualitative data sharing: A roadmap and resources to facilitate responsible and ethical data sharing
Research Software
ƽÌØÎå²»ÖÐ
ƽÌØÎå²»ÖÐ IT Services offers on practical software topics such as IT security, surveys and forms, web publishing, OneDrive and collaboration with Office 365.
The ƽÌØÎå²»ÖÐ 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 ƽÌØÎå²»ÖÐ 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
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 .
Other ƽÌØÎå²»ÖÐ 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 toÌýadvanced statistical methods, coding and programming languages, high performance computing, machine learning and general data science.
- The ƽÌØÎå²»ÖÐ initiative in Computational Medicine (MiCM)Ìýoffers yearly workshop series focused on life sciences aspects.
- ƽÌØÎå²»ÖÐ'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 .
Advanced Research Computing
The full list ofÌýARC-relatedÌýtheÌýtraining sessions and workshops is available on theÌýÌýof their website.ÌýOur analysts conduct training sessions and host conference lunches onÌýmanyÌýkey topics ranging fromÌýfirst steps on high performance computing servers, data analysis toÌýparallelÌýprogramming.ÌýÌý
Upcoming Events
Visit our events page for information about upcoming workshops, research drop-in sessions, and other events hosted by the DRS and VP-RI.