Metadata Editor

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Technical specifications ​

Architecture ​

The application follows a three-tier architecture:

  • Frontend: Built using Vue.js, providing a responsive and interactive user interface for metadata editing.
  • Backend: Developed in PHP, managing application logic, user authentication, session handling, and orchestration of API requests.
  • Data Conversion API: Implemented using FastAPI (Python), offering high-performance endpoints for reading, validating, and converting data from SPSS and STATA.

Frontend (Vue.js) ​

  • Framework: Vue.js
  • Key Libraries:
    • Vuetify
    • Vuex (state management)
    • Axios (API communication)
    • Vue Router

Backend (PHP) ​

  • Framework: CodeIgniter
  • Responsibilities:
    • Routing and user session management
    • Authentication and role-based access control
    • Request dispatch to Python API
    • Logging and error handling

Data conversion API (FastAPI – Python) ​

  • Framework: FastAPI
  • Dependencies:
    • pandas: Data manipulation and structure transformation
    • pyreadstat: Import/export of statistical file formats (SPSS, Stata, SAS)

Deployment ​

  • Server requirements:
    • PHP 8.2+
    • Apache/Nginx
    • Python 3.8+ environment
    • MySQL or MariaDB