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.
- Teacher: Jeff Moon