The reproducibility of research is essential to the scientific community, as it ensures that research findings are reliable and can be used to build upon existing knowledge. However, reproducibility is often hindered by the lack of access to research data, documentation, and code. This workshop will address these issues by providing an introduction to repositories and tools to discover, access, reuse, deposit, and share research data, documentation, and code.

The workshop will cover a range of topics, including:

• Discover, access, and reuse Canadian research data using Borealis (https://borealisdata.ca), ODESI (https://odesi.ca), and Scholars GeoPortal (https://odesi.ca)
• Deposit and share research data, documentation, and code in Borealis
• Explore new integrations to support reproducibility and computational workflows

Participants will have the opportunity to search and access sample datasets and code, with a focus on real world examples and use cases. Participants will explore Borealis features and integrations to support reproducibility, including uploading data from GitHub. By the end of the workshop, participants will have gained skills and knowledge related to accessing, reusing, depositing, and sharing research data and code with an emphasis on openness and reproducibility, improving the quality and impact of their research.

This presentation will occur on June 12 from 3:00 P.M. to 4:30 P.M. Eastern Daylight Time.

Registration link

Compute Ontario Summer School is a series of online courses on Advanced Research Computing, High Performance Computing, and Research Data Management. It runs from June 12 to June 29, 2023. The courses are delivered each workday from 9:00am to 4:30pm (EDT) with a lunch break,  in two parallel streams. You can register for any number of courses. Registration is free. Please register early as many courses have a limited capacity. The Summer School is jointly delivered by SHARCNET, SciNet, Centre for Advanced Computing, and RDM Network of Experts.