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February 2020
Software Carpentry Workshop (Python, Git, Shell)
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. This two-day workshop will include lessons in and Programming in Python, the Unix Shell, and Plotting Version Control with Git, with instructors and helpers who are U of T staff and graduate students. More information and registration available at https://uoftcarpentries.github.io/2020-02-20-utsg/
Dataverse: A Repository for Research Data
What will you learn? Dataverse is the University of Toronto’s institutional repository for publishing and sharing your research data. In this workshop, you will receive a hands-on introduction to this research data repository including how to deposit your datasets, how to assign rights to other researchers, and understanding the options available for sharing your data. Who is this workshop for? Faculty, researchers, graduate students, data/information managers on research teams. Location: Robarts Library, 5th Floor, Room 5-053. Map & Data Library Computer Lab
Zotero Workshop
This workshop will offer an overview of using Zotero, a free, open-source reference management tool. No prior Zotero knowledge is required. By the end of the session, you will be able to: Collect and annotate references Organize references using tags, folders, and other features Collaborate and share references Generate citations and bibliographies Location: OISE Education Commons, 3rd floor, Lab 1 For further information, contact Chelsea Humphries (chelsea.humphries@mail.utoronto.ca) or Emily Hector (emily.hector@utoronto.ca).
2020 UTM STAR Conference: Guiding Success (Feb. 25, 2020)
Be part of the 6th annual STrengthening Administration of Research (STAR) conference, brought to you by the Division of the Vice-President, Research & Innovation (VPRI). Join staff from the VPRI, UTM Procurement, and your peers in a day of learning, networking, and sharing best practices in administering research & innovation. Learn more about the VPRI's STAR program. UTM Conference Agenda (Subject to adjustment) Opening Remarks by Professor Kent Moore, Vice-Principal, Research Research Procurement Update on the New, Principles-Based Tri-Agency Guide on Financial Administration Expense Eligibility and Applying the new Tri-Agency Guide on Financial Administration VPRI Newsbreak Budget Monitoring & Research Administration 101 Please note this conference is specifically intended for U of T staff administering research, such as business officers, research administrator/facilitators, finance-related staff, and faculty.
Intermediate R – part 1
This workshop introduces users to statistical methods using R in RStudio. In particular, it covers t-tests, ANOVA, correlation and linear regression. Please note that you do not need to attend Intermediate R part 1 to attend part 2 because they cover different topics.
3D Printing Safety Training – Information Commons
Learn how to safely operate the LulzBot TAZ 6 3D printers. You must complete this safety training session before you can use our 3D printers. You must also pass our 3D printing knowledge test. If you would like this presentation to be offered at a different day or time, please provide feedback to us at digital.studio@utoronto.ca.
NVivo 12 Basics (for Windows)
This hands-on workshop provides the foundation for using NVivo 12 and is designed for anyone who is analyzing qualitative research. You will gain key skills in NVivo 12: Create a research project | Use real research data to set up a project so it is clear and organized Import files into a project | Bring documents into a project and prepare data for coding Code data | Analyze data and learn how to attach notations/comments to your data This workshop will be for Windows only. Participants using the Mac version are welcome to attend but the workshop will only cover the functions available for the Windows version, which are not all the same for the Mac version. The workshop is…
Maximize your Research Impact Series: PART 1 – Metrics and Context
Maximize your Research Impact Series Understanding how your researcher identity and your research outputs (articles, books, patents, conference proceedings, posters, data contributions, videos, blog posts, etc.) are measured and quantified is crucial for researchers at all stages to understand. The context around how metrics are meant to be used and how they can be misused is crucial to understanding how to use metrics responsibly. How is your work found and used by others? What type of citation and usage footprint is your published work creating? What is the impact of your research and contribution to your community over time? Your researcher identity is formed by combining all of your research output and its impact. Taking charge of your researcher identity…
3D Printing Safety Training – MADLab
Learn how to safely operate the Makerbot Replicator 2 3D printers. You must complete this safety training session before you can use our 3D printers. 3D Printing Safety Training Date: Tuesday, February 25 3:10pm - 4:00pm Location: MADLab, Gerstein Science Information Centre, 1 Below, room B112 Presenters: Erica Lenton, Gerstein Librarian & Mike Spears, MADLab Manager What's Covered: - overview of 3D Printing @ Gerstein + MADLab policies & guidelines for use - instructions for safe & effective use of the 3D printers - how to prepare a 3D design file for printing - basic design principles Questions? Send your questions to gerstein.3Dprinting@utoronto.ca or visit our website at: http://guides.library.utoronto.ca/3dprinting
Introduction to Data Visualization (Part 1 – Theory and Critique)
Through a combination of lecture and activities, this two-hour workshop will use a data visualization workflow model to introduce participants to best practices and guidelines for designing effective visualizations and evaluating visualizations. There will then be an activity to apply best practices by working in small groups to critique visualizations. For more information on Data Visualization, including topics covered in the workshop, and services offered by the libraries, see our Data Visualization Guide.