Version 4.2 by adavison on 2020/08/05 08:40
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1 == Introduction ==
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3 Computational provenance is a record of all the steps in a computational scientific workflow, including the code that was run, input data, the computational environment (hardware, OS, compiler versions, library version...), and output data.
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5 Capturing computational provenance facilitates:
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7 * reproducibility of results
8 * management and tracking of workflows/projects by the scientists/engineers involved
9 * evaluation/review by other scientists and engineers
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13 == Standards ==
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15 Information about the W3C PROV ontology and related tools
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18 == Storage of provenance in the Knowledge Graph ==
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21 == Tools for automated capture of provenance ==
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23 * on different systems:
24 ** HPC systems
25 ** neuromorphic systems
26 ** Jupyter notebooks
27 ** users' own computers
28 * prospective/pre-emptive vs run-time provenance capture
29 * capture of metadata vs capture of artefacts
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31 == Communication between computer systems and the KG ==
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33 * local cache and synchronization?
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36 == User interfaces for browsing, visualizing, and searching provenance information ==
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