Are you thinking of sharing your data for re-use by other researchers? Have you been asked to share your data by a journal or funder? Are you worried about the long term accessibility of your data? Join Danica Evering (Research Data Management Specialist) for this workshop on how to deposit your data on McMaster Dataverse for archival, preservation, and sharing. Learn more about how openly sharing data can benefit you and the research community, and how online repositories are helping to improve the availability of research data. We’ll end with a sandbox session where participants can experiment with the Demo instance of Dataverse.

This virtual workshop will build on the Fall 2023 workshop “Data Visualization in R using ggplot2” to provide an introduction to gganimate in the statistical programming language R. This workshop will go examples on how to create visualizations that change over time and how to and customize the design of those graphs.

Designed for those who are curious about making maps but haven’t yet had the opportunity to learn. This workshop will provide a friendly introduction to geographic data and the mapping of this data using the geographic information system (GIS) software, QGIS. Absolutely no geography or quantitative background is necessary for an engaging experience.

This workshop will build on the Fall 2023 workshop “Gephi Part 1: Introduction to Network Visualizations” to look at how one can conduct network analysis for research. We will go through a case example together and discuss more features that researchers can use to design their own network visualizations.

Two parts: January 19 (10 am – Noon) and February 2 (10 am – Noon) This two-part workshop will bring together people working in the postsecondary sector (faculty, librarians, students, […]

In this introductory workshop, learn about research data management best practices and how investing a small amount of time in organizing your data now can save you a lot of time and prevent future headaches. We will go over best practices for data planning, storage, organization, preservation, and sharing.

Researchers and faculty doing DH work will inevitably need to display their research findings or create a portfolio of work. Our goal is to equip researchers with the knowledge and […]

Two parts: January 19 (10 am – Noon) and February 2 (10 am – Noon) This two-part workshop will bring together people working in the postsecondary sector (faculty, librarians, students, […]

Two parts: February 2 (10 am – 3 pm) and February 9 (10 am – 3 pm) This workshop, which takes place across two sessions on February 2nd and February […]

Are you ready to learn more about how artificial neural networks and machine learning techniques work? Join us to discover how these technologies can transform your teaching and research, opening […]

Citation analysis is a way of measuring the relative importance or impact of author, article, or publication, and explore links between them. Citation analysis can support the early stages of […]

Preservation of software with your research data is an important part of open research and will be a future requirement by the Tri-agencies for Data Deposit. In this introductory session, learn how you can apply research data management practices and FAIR data principles to software, and some best practices that will help you prepare for depositing the custom code and analysis scripts you use to generate and process your research data, and how these practices can help you now in developing and maintaining this work.