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Bhavesh Asanabada commented on AIRAVATA-3593: --------------------------------------------- Hi Suresh, In regards to my solution proposal, I developed a high-level architecture (refer to attachment - Proposal architecture draft-1). I want to know if there are any other Airavata pipelines to include and also how the data lake, QCSchema is used here? I would appreciate your comments/suggestions on the proposed architecture. Thanks & Regards Bhavesh Asanabada > 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/] -- This message was sent by Atlassian Jira (v8.20.1#820001)