https://github.com/vida-nyu/bdi-viz

https://github.com/vida-nyu/bdi-viz

bdf-toolbox data-harmonization data-integration

Last synced: 29 days ago
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• Host: GitHub
• URL: https://github.com/vida-nyu/bdi-viz
• Owner: VIDA-NYU
• License: apache-2.0
• Created: 2024-09-25T19:18:42.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-19T01:50:02.000Z (about 1 month ago)
• Last Synced: 2024-11-19T02:48:17.967Z (about 1 month ago)
• Topics: bdf-toolbox, data-harmonization, data-integration
• Language: Python
• Homepage:
• Size: 241 KB
• Stars: 1
• Watchers: 9
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# bdi-viz

[![Tests](https://github.com/VIDA-NYU/bdi-viz/actions/workflows/build.yml/badge.svg)](https://github.com/VIDA-NYU/bdi-viz/actions/workflows/build.yml)

[![Lint](https://github.com/VIDA-NYU/bdi-viz/actions/workflows/lint.yml/badge.svg)](https://github.com/VIDA-NYU/bdi-viz/actions/workflows/lint.yml)

## Introduction

BDIViz is a powerful, interactive tool designed as an extension to [BDIKit](https://github.com/VIDA-NYU/bdi-kit) to assist biomedical researchers and domain experts in performing schema matching tasks. Built to address the challenges of matching complex biomedical datasets, BDIViz leverages a visual approach to streamline the process and enhance both speed and accuracy.

Key features of BDIViz include:

- **Interactive Heatmap** for exploring and comparing matching candidates.

- **Value Comparisons** Panel for analyzing similarities between attributes.

- **Detailed Analysis** Panel offering in-depth insights into attribute value distributions.

- **Filtering & Refinement Tools** to customize and adjust matching candidates based on datatype and similarity scores.

- **Expert-in-the-Loop Workflow** allowing users to iteratively accept, reject, or refine matches, keeping the expert in control of decision-making.

BDIViz is designed to be integrated with Python notebooks, providing a flexible and easy-to-use tool for domain-specific schema matching in biomedical research and beyond.

## Demo

[BDIViz Demo](https://drive.google.com/file/d/1eAbDicO0oXIbbVg56m3H8xdNDDsBGBLI/view?usp=drive_link)