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🚀 Research Identity Automation System

This system provides "100 Improvements" (technical, visual, and documentation) for your research repositories. It automates the process of transforming a basic repository into a professional, academic landing page.

🛠️ Components

  1. automation/identity_automator.py: The core Python engine that:
    • Fixes character encoding (mojibake) in index.html and metadata.
    • Injects a modern, responsive 'Research Identity' template into index.html.
    • Synchronizes professional documentation (ABOUT_THE_AUTHOR.md, LICENSE, CONTRIBUTING.md).
    • Optimizes Jekyll (_config.yml), sitemap.xml, and seo.json for academic indexing.
  2. automation/researcher_profile.json: A centralized configuration file for all your professional IDs (ORCID, Scopus, ResearcherID) and institution details.
  3. automation/templates/: Modular templates for the visual theme and standard documentation.

🚀 How to Use

To apply these improvements to any of your 71+ repositories, simply:

  1. Clone the repository.
  2. Run the automator: python3 automation/identity_automator.py --repo /path/to/repo
  3. Push the changes to GitHub.

✅ What it Improves

  • Visual Identity: Modern, responsive, academic design using the Inter font and card-based UI.
  • SEO & Discoverability: Highwire Press citation metatags, Schema.org (JSON-LD), and professional sitemaps.
  • Content Completeness: Automatically adds missing LICENSE, CONTRIBUTING.md, and ABOUT_THE_AUTHOR.md.
  • Technical Integrity: Fixes all character encoding errors and ensures correct GitHub Pages resolution for internal links.

ORCID LinkedIn License: CC0