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https://issues.apache.org/jira/browse/AIRAVATA-3593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17522287#comment-17522287
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Suresh Marru commented on AIRAVATA-3593:
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Hi Bhavesh,
>From a high level perspective, yes there are Airavata pipelines that will
>integrate with these data systems. But for the scope of the GSOC project, I
>think you can focus on this problem and build a plan. For reference, you can
>see the data lake architecture -
>[https://github.com/apache/airavata-data-lake] but it is ok to confine your
>project to stand alone development.
> SMILES data Models
> ------------------
>
> Key: AIRAVATA-3593
> URL: https://issues.apache.org/jira/browse/AIRAVATA-3593
> Project: Airavata
> Issue Type: Epic
> Reporter: Suresh Marru
> Priority: Major
> Labels: gsoc2022, mentor
> Attachments: Proposal architecture draft-1.png
>
>
> Extend Airavata Data Catalog to record metadata extracted from experimental
> and computational data in support of the small-molecule ionic isolation
> lattices SMILES data.
> Suggested flow:
> VueJS user interfaces -> Django App -> API Server -> Data Orchestrator ->
> Data Lake
> Refer to [https://github.com/apache/airavata-data-lake]
> The data models should be developed in JSON-LD [https://json-ld.org/]
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