Researchers looking to enhance their data skills are encouraged to join the Leddy Library for a series of workshops.

“Building Capacity for Research Data Management and Text Data Mining in a JupyterHub Advanced Research Computing Environment” will introduce researchers to Jupyter Lab using SHARCNET’s and the Digital Research Alliance of Canada’s JupyterHub portals.

Jupyter is an open source, multi-user electronic notebook (ELN) which replicates in digital form a paper lab notebook. It allows researchers to add observations, protocols, and annotate code, among other uses. ELNs facilitate good practices in helping researchers write reproducible code and facilitate data and code sharing.

Workshops will explore the following topics:

• Introduction to JupyterHub
• Text Data Mining of Newspapers in JupyterHub
• Research Data Management in Jupyter: the Importance of Keeping your Data Reproducible

The workshop series was made possible by a Compute Ontario grant and is a collaboration between the Leddy Library, the Office of Research and Innovation Services, and Information Technology Services.

The in-person portion will take place in the Collaboratory on the main floor of the Leddy Library.

Register for the workshops online: https://leddy.uwindsor.ca/training-events/rdm-tdm-jupyterhub-newspapers.

“Introduction to JupyterHub” will run as a hybrid session from 9:15 to 11:30 a.m. on Tuesday, Feb. 21. This workshop will introduce researchers to Jupyter Lab using SHARCNET’s and the Digital Research Alliance of Canada’s JupyterHub portals. It will cover various details including discussing what is and how to obtain a Digital Research Alliance of Canada account, understanding the purposes of electronic notebooks, and how to use Jupyer Lab on these portals — including how to find and load various pre-installed software with your notebooks.
In-person registration
Virtual registration

“Text Data Mining of Newspapers in JupyterHub” will run as a hybrid session from 9 to 11:30 a.m. on Wednesday, Feb. 22. This session introduces textual analysis and data mining with newspaper text. Using an historical community newspaper from Essex County, Jupyter notebooks will be used to explore the uses of digitized content in a browser without requiring the installation of specialized software. Participants will be provided with guest credentials for Digital Alliance research computing resources.
In-person registration
Virtual registration

“Research Data Management in Jupyter: The Importance of Keeping your Data Reproducible” will run online only from 9 to 11:30 a.m. on Tuesday, Feb. 28. This session will take a deep dive into some research data management best practices when developing in a Jupyter environment. The focus will be on ensuring reproducibility of analysis and bundling up code and data for use by others. This will be examined in two ways: moving your project to Github, and remixing and extending work that already exists.
Virtual registration

All code used for the workshops will be available in the Leddy Library’s Academic Data Centre GitHub repository.