Last modified by adavison on 2022/05/23 22:24
From version 4.2
edited by adavison
on 2020/08/05 08:40
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To version 1.1
edited by adavison
on 2020/08/05 08:34
Change comment: Collab created through API

Summary

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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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15 += What can I find here? =
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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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21 += Who has access? =
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13 -== Standards ==
23 +Describe the audience of this collab.
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15 -Information about the W3C PROV ontology and related tools
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29 +{{box title="**Contents**"}}
30 +{{toc/}}
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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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