Last modified by adavison on 2022/05/23 22:24
From version 7.1
edited by adavison
on 2020/08/05 08:54
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To version 5.1
edited by adavison
on 2020/08/05 08:44
Change comment: Uploaded new attachment "starting-points.svg", version {1}

Summary

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1 1  == Introduction ==
2 2  
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...), the person who performed each step, and output data.
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.
4 4  
5 5  Capturing computational provenance facilitates:
6 6  
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12 12  
13 13  == Standards ==
14 14  
15 -The [[W3C PROV standard>>https://www.w3.org/TR/2013/NOTE-prov-overview-20130430/||rel=" noopener noreferrer" target="_blank"]] provides a data model and related tools for provenance interchange on the web. The following diagram shows the three base classes of the PROV data model: Entity, Activity, and Agent. These three classes form the basis for the representation of provenance in the EBRAINS Knowledge Graph: every node in the KG has a type which is a subclass of one of these base classes.
15 +Information about the W3C PROV ontology and related tools
16 16  
17 -[[image:starting-points.svg||alt="The three Starting Point classes of the W3C PROV ontology and the properties that relate them."]]
18 18  
19 19  == Storage of provenance in the Knowledge Graph ==
20 20