Graduate students can find "how to" guides and support information on our Workday support page.
Resources, tools, and software are available to support the diverse and multidisciplinary research of graduate students.
| Title | Description | Provider |
|---|---|---|
| Advanced Research Computing | Access high-performance computing, secure data storage, and cybersecurity and privacy expertise. Advanced Research Computing offers consultation, training, and digital research infrastructure for data-intensive research across disciplines. |
Advanced Research Computing |
| Drop-in Advising: Research Ethics | Looking for expert answers to your questions about your research ethics application? Staff from the Office of Research Ethics are available for consultations by phone or Zoom. Email allison.stewartgomes@ubc.ca with a brief description of your query topic (and the Ethics ID, if available) and she will forward your request to the appropriate person |
Office of Research Ethics |
| Free Statistics Consulting |
The Statistical Opportunity for Students (SOS) program provides one hour of free statistical advice, based on a submitted project description, to any UBC graduate student. Visit the SOS program page for full details. The SOS program is made possible through funding support from the Office of the Provost and Vice President, Research and Innovation. |
Applied Statistics and Data Science Group |
| One-to-One Assistance |
Consultations are available for Citation Management, Data Analysis (R, intro Python, SPSS), Digital Scholarship, Research Data Mgmt, and GIS. Appointments are available in 30-minute or 1-hour increments. To request an appointment, visit this page and book your chosen consultation. |
Library Research Commons |
| Subject Librarian Consultation | Subject Librarians serve as the primary liaison between the Library and the academic departments on campus. They provide skilled reference assistance, manage the library's collections and provide instructional support to faculty.
Suggest a book to purchase or contact your subject librarian for further information. |
UBC Library |
| Title | Description | Provider |
|---|---|---|
| Equity, Diversity and Inclusion (EDI) in Research (online course) |
Developed specifically for the UBC research community, this canvas course helps develop the understanding and application of appropriate EDI practices to the research environment. Start today. |
Office of the Vice-President Research and Innovation |
| Good Clinical Research Practice Courses, Online | Online, on-demand courses are available on Good Clinical Practice, Responsible Conduct of Research (RCR), Biomedical Research Ethics, Social and Behavioral Research, Transportation of Dangerous Goods TDG/IATA, Health Canada Division 5 - Drugs For Clinical Trials Involving Human Subjects, and CITI Canada Privacy. These are available through a UBC subscription and are free to UBC students, staff, postdoctoral fellows, and faculty. |
N2 Network of Networks |
| GPS Workshop Materials, Recordings |
Materials, handouts, and recordings from many past Graduate Pathways to Success sessions, including our career and statistics series, are posted online here (cwl login required) |
Graduate Pathways to Success |
| Knowledge Mobilization (KMb) modules | Research Impact Canada has developed freely accessible online e-modules, each focused on a specific skill important in KMb. These online modules are stand-alone and can be completed in any order at any time. The purpose of these modules is to:
Topics include data-driven decision making, storytelling for impact, building and navigating partnerships, accessible and inclusive event planning and info graphic design. Learn more at: https://researchimpact.ca/learning/kmb-modules/ |
Research Impact Canada |
| Library Orientation for Graduate Students in 30 minutes_Links, Materials |
The Graduate Student Orientation to the Library will briefly introduce you to resources, services and people at UBC Library. The recorded workshop, you will enable you to:
|
UBC Library |
| Open Education Resources, Workshop Materials |
Check out this page for handouts and materials from sessions on Geospatial Information and Technology, Data Analysis and Visualization, Digital Scholarship, Research Data Management, Citation Management, Copyright, and more. |
Library Research Commons |
| Responsible Conduct of Research Course | Online, on-demand Responsible Conduct of Research (RCR) course, free to UBC researchers through a University of British Columbia (N2) subscription to CITI. The course discusses many scholarly integrity topics including:
|
N2 Network of Networks |
| Responsible Conduct of Research Course_Foundations |
Developed by UBC's Scholarly Integrity Initiative in the Office of the VP, Research + Innovation, the Foundations of Responsible Research is a self-paced course which aims to increase understanding of our responsibility as UBC scholars, provides an opportunity to reflect on our own research practices, and to practice navigating ethical dimensions of research using a systematic decision-making framework. Enrol The Responsible Conduct of Research website https://responsible.research.ubc.ca/ also provides a plethora of information on evolving topics and resources and training for conducting research responsibly. |
Office of the Vice-President Research and Innovation |
| Statistics Webinar Series | This statistics webinar series is annually presented by the Applied Statistics and Data Science Group. Recordings and descriptions of each session are provided. Fundamentals of Statistics SeriesFundamentals of Statistics I: Exploratory Data AnalysisExploratory Data Analysis (EDA) is essential for understanding your data and a necessary step prior to any testing or modeling. In this webinar, you will learn how to use insightful graphical and numerical techniques for investigating important aspects of your data such as relationships between variables and unusual observations. Fundamentals of Statistics II: Study Design and Data Collection EssentialsThis webinar focuses on the first two crucial steps in a statistical investigation: 1) identify a question and 2) collect the right data to answer this question. Fundamentals of Statistics III: Two Group Comparisons and ANOVAIn this webinar, you will learn how to gain insight from a random and unbiased data sample of a population. Fundamentals of Statistics IV: Correlation and Linear RegressionUnderstanding relationships is a key part of the scientific inquiry process. You will learn how to describe relationships between two numerical quantities through correlation measures and simple linear regression models. This will also be extended to multiple linear regression for including additional predictor variables. Fundamentals of Statistics V: Intro to Mixed Effects ModelsThis webinar is critical for understanding when linear regression models aren’t applicable and how to model dependent data. Reproducible Research SeriesReproducible Research Part I: Intro to Reproducible Research and its PitfallsIn this webinar we will introduce the importance of reproducible research, as well as give a historical overview on the beginnings of reproducible research. Once we introduce benefits and elements of reproducibility, we will discuss the most common pitfalls and guide ways toward reproducibility. Reproducible Research Part II: Intro to Reproducible Research ToolsIn this webinar we will introduce the best practices and tools for creating reproducible workflows for your statistical analyses. We will start by introducing concepts on automated version control via git, and then we will slowly build up the git tools from working locally within a git repository to uploading and sharing your web repository on GitLab, supported by visual diagrams to help you navigate through these concepts. Reproducible Research Part III: Collaborative Reproducible Research ToolsIn this webinar we will introduce the best practices and tools for sharing your reproducible workflows and collaborating with your colleagues in private networks or with any public GitLab users. We will start by introducing concepts on branching and forking using diagrams. Reproducible Research Part IV: Building Shiny Applications and DashboardsSome specific types of analyses that are intended to be repeated each time new data arrive can be automated. Building interactive dashboards is made possible via the Shiny package in R. Advanced Statistical ModelingAdvanced Statistical Modelling: Introduction to Machine LearningIn this webinar, we will introduce the basic concepts behind machine learning algorithms, their difference from the statistical methods and the most common type of problems that can be tackled with machine learning algorithms. |
Applied Statistics and Data Science Group, Graduate Pathways to Success |
| Toolkits for Public Scholarship and Practice |
Developed by the Public Humanities Hub, as part of their public scholarship series, each toolkit is themed around a specific kind of public scholarship, including:
Toolkits include presentation recordings, examples, resources, and more. |
Public Humanities Hub |