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EDSDA - Expert-driven Smart Dashboard Application: Automate data processing which help the experts of every fields can insert their data sources and visualize, integrate them with related multidimensional data cubes by completely automate method.

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Scientific Research : EDSDA - Expert-driven Smart Dashboard Application

Date: Mar 2021 - Jun 2021

Introduction

  • Scientific Research about Linked Data & RDF Data Cube & Data Warehouse
  • Automate data processing which help the experts of every fields can insert their data sources and visualize, integrate them with related multidimensional data cubes by completely automate method.

Context Diagram:

context-diagram

Progress Project

project-timeline

Folder Structure: updating

/modules:
  /edsda-webapp:
  /edsda-backend:
  /edsda-ui-design:

  • modules: include all the project's source code, divided into each module
  • edsda-webapp: source code of Client website
  • edsda-backend: source code of server, ETL process, data crawler,...
  • edsda-ui-design: UI Design, Prototype of project

Members:

Avatar Name Role Contact
Vo Van Hoa Team Leader, DevOps, Back-end, RDF Data Cubes [email protected]
Pham Van Tin Secretary, Front-end, UI/UX Design , DevOps [email protected]
Ky Huu Dong BE Database, Crawl , ETL [email protected]
Tran Thi Thanh Kieu Tester [email protected]

Contributing:

Contributions are very welcome and wanted.
To submit your custom pull request, please make sure you read our CONTRIBUTING guidelines.

Before submitting a new pull request, please make sure:

  • You have updated the package.json version and reported your changes into the CHANGELOG file
  • make sure you've added the documentation of your changes.

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EDSDA - Expert-driven Smart Dashboard Application: Automate data processing which help the experts of every fields can insert their data sources and visualize, integrate them with related multidimensional data cubes by completely automate method.

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