Workshop: The 17th Workshop on Workflows in Support of Large-Scale Science (WORKS22)
Authors: Line Pouchard (Brookhaven National Laboratory), Tanzima Islam (Texas State University), and Bogdan Nicolae and Rob Ross (Argonne National Laboratory (ANL))
Abstract: This 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.
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