Increasingly, academics are turning to high performance computing (HPC) to achieve their research goals, with evidence from the literature suggesting that data management efforts in HPC-based research tend to focus primarily on reproducibility.  This presentation will explore best practices for reproducibility in HPC-based workflows and how they intersect with and complement the broader need for good research data management. This presentation draws from a variety of sources to (i) contextualize this problem, (ii) spark discussion of RDM best practices, and (iii) identify areas in need of further attention. The overarching goal is to seed the development of practical training, support materials, and approaches that can be tailored to help researchers, HPC-support professionals, and Data Librarians/Specialists make data emerging from HPC-based research FAIR: Findable, Accessible, Interoperable, and Reusable.

This presentation will occur on June 12 from 1:30 P.M. to 2:50 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.