RECUP: A (Meta)data Framework for Reproducing Hybrid Workflows with FAIR
DescriptionThis abstract presents a conceptual framework and methods to extract and share (meta)data (data and metadata) necessary for reproducibility in the context of complex hybrid workflows (workflows that include numerical simulations and data-intensive applications) executed at extreme scale. We target Digital Objects required to reproduce results and performance: we capture, fuse, and analyze (meta)data to select parameters influencing reproducibility, and make them FAIR Digital Objects for re-use.
Event Type
Workshop
TimeMonday, 14 November 202210:36am - 10:42am CST
LocationD222
W
Cloud and Distributed Computing
In Situ Processing
Scientific Computing
Workflows
Recorded
