skip to navigation skip to content
- Select training provider - (Office of Scholarly Communication)
Reset
Filter by

Course type

Show only:


Show only:


Dates available




Places available




Theme




Filter search

Browse or search for courses


1 matching course
Courses per page: 10 | 25 | 50 | 100
Clear search


Advertised on behalf of ReproducibiliTea, the Open Science Journal Club in the Department of Psychology

The Open Science Journal Club invites anyone interested in Open Research to join this lunchtime session, where Dav Clark will introduce Gigantum, a free open source tool designed to streamline reproducible and collaborative data science. Gigantum aims to bring together complex tools, workflows and community approaches that enable exciting research collaborations and also enable others to evaluate and build on your work.

The session will introduce the Gigantum Client, an MIT licensed web application that runs locally, simplifying and automating tools like Docker, Git, and launching environments like JupyterLab. Dav will also describe paid services hosted by Gigantum that enable single-click publication and collaboration from the Client. You will learn about versioning and collaboration features, how to easily move work between local resources and the cloud, as well as new approaches to creating and managing scientific datasets. There will also be the chance to go under the hood to show how sophisticated users (e.g., Research Software Engineers, Data Librarians, etc.) can create customized data science environments that are easy to distribute, and are accessible to users with diverse skill sets.

All welcome - if you aren't a member of the Department of Psychology, please meet at the Department Reception by 12.55 and Ben Farrar will show you to the Nick Macintosh Seminar Room (a second escort will check at 1pm for latecomers!).

This session will include a hands-on demo, so please bring your laptops. You may bring your lunch if you wish, and Dav is happy to join participants for lunch afterwards.