Data Intelligence Platform - User Guidelines Demo

This platform integrates historical and incoming research data into a unified data foundation and connects research workflows. It supports data discovery, publication management, and data requests, with AI-powered capabilities for document retrieval and research question answering.

Project contribution: Led the platform from initial design to production deployment, including system architecture, database design, data pipelines, backend development, and AI integration.

This repository contains public feature showcases, user guides, and interactive demos for five platform modules:

• Research Data Finder
• Publication Committee & Tracking System
• Data Request Management System
• AI Knowledge Base
• AI Research Assistant

The repository contains demonstration pages rather than production application code. Dashboard metrics are sample data, and the AI demos use predefined examples that run in the browser.

📋 Overview

Dashboard-Style Landing Page (index.html)

A dashboard-style interface that serves as the central hub for accessing the platform's systems. Features include:

• Sidebar Navigation - Quick access to all five systems; controls without demo functionality are marked "Display only"
• Platform Cards - One-line purpose, three core features, and sample dashboard metrics per system
• Responsive Design - Works seamlessly on desktop, tablet, and mobile devices

User Guideline Pages

• finder-user-guideline.html - Research Data Finder: discover and locate research datasets by searching metadata, filtering by type, source, medication, and more
• pub-user-guideline.html - Publication Committee & Tracking System: manage publications through a structured 4-stage pipeline with committee approval, co-author recruitment, tracking, and version control
• data-request-user-guideline.html - Data Request Management System: visualize project file relationships as an interactive tree (dendrogram) with version control, requirements, and email notifications
• ai-knowledge-base-user-guideline.html - AI Knowledge Base: search research document content in natural language and trace relevant passages to their original sources, with auto-extracted metadata reviewed by the user and project-based collections (includes an interactive demo with sample data, running entirely in the browser)
• ai-research-assistant-user-guideline.html - AI Research Assistant: ask questions, summarize findings, and compare information across research documents, with clickable citations that reveal the supporting passage; built on the same document library as the AI Knowledge Base (includes an interactive chat demo with predefined responses, running entirely in the browser)

The Data Request Management System and Research Data Finder are cross-linked: the tree visualizes file relationships, while detailed dataset descriptions live in the Research Data Finder.

🚀 Demo

Visit the GitHub Pages URL: https://griffithfly.github.io