Last modified by adavison on 2022/05/23 22:24

From version 12.1
edited by adavison
on 2020/08/05 12:21
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To version 10.4
edited by adavison
on 2020/08/05 12:05
Change comment: There is no comment for this version

Summary

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8 8  * management and tracking of workflows/projects by the scientists/engineers involved
9 9  * evaluation/review by other scientists and engineers
10 10  
11 +
11 11  == Standards ==
12 12  
13 13  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.
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18 18  
19 19  We present here the current schemas for representing (a) data analysis and (b) simulations in the Knowledge Graph. These schemas will need to be extended to cover neurorobotics simulations, and probably a more explicit representation of pipelines/workflows (the chaining together of multiple analysis / simulation stages) will be needed.
20 20  
21 -[[image:Workflow provenance in the EBRAINS KG-2.png||alt="KG schema for data analysis"]]
22 +[[image:Workflow provenance in the EBRAINS KG.svg||alt="KG schema for data analysis"]][[image:Workflow provenance in the EBRAINS KG-2.png||alt="KG schema for data analysis"]]
22 22  
23 23  [[image:Workflow provenance in the EBRAINS KG.png||alt="KG schema for simulation"]]
24 24  
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31 31  
32 32  == Tools for automated capture of provenance ==
33 33  
34 -
35 -Issues to discuss:
36 -
37 37  * on different systems:
38 38  ** HPC systems
39 39  ** neuromorphic systems