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Project Title
Small Molecule Ionic Lattices (SMILES ) Data Models.
Abstract
The goal of this project is to design and implement the solution for Airavata Data Catalog and the Data Parsers to analyze the metadata extracted from the Literature, Experimental and Computational records in support of Small Molecule Iconic Isolation Lattices ( SMILES ) Data. Particularly, this includes the data synchronization synchronisation with the SEAGrid Data Analysis Portal and the Gateway users.
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Solution Overview
Data Modeling
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Implementing a functional database
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- Redesigning the Data Models.
- Creating a robust database to reduce the latency.
- Synchronizing the data with the Dashboard.
Timeline
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Divided into two-week sprints
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| Deliverables |
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Study Airavata Django Portal Framework (ADPF) | May 27, 2022 | - Setup the Django portal locally.
- Study the procedure of the computational experiment
- Understand the input file format to function the experiment.
- Understand the Gaussian log.
- Create a customized Django application.
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Initializing the databases | June 1, 2022 | - Setup the databases locally.
- Understand the schema.
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Data Modeling | June 15, 2022 | - Configure the data model.
- Design the logical schema in protobuf format.
- Trigger the empty values and define a specified error flag.
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Functional Database | July 1, 2022 | - Create a functional database
- Define a schema for the functional database.
- Ingesting data from the primary databases.
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Testing and Validations | July 12, 2022 | - Build a test plan for the data affirmation
- Execute tests and validate the data flow process.
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Project report and Final Documentation | July 29, 2022 | - Describe the results, observations, and insights in the final documentation.
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References
- Jira Issue:
Jira |
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server | ASF JIRA |
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serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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key | AIRAVATA-3593 |
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