FAIR Analysis Report

Transforming ELIXIR 3D-Bioinfo PPI dataset into FAIR-compliant, machine learning-ready resource

PPI Benchmark FAIR FAIRification Machine Learning Repository

Key Statistics

Comprehensive analysis of FAIR principles compliance across GitHub repositories.

5
Repositories
61.8
Average Score
87.5
Highest Score
35.0
Lowest Score

Figure 1: FAIR Score Ranking

Shows overall FAIR compliance score for each repository. For single repositories, a gauge chart indicates the score level with color-coded ranges.

Figure 2: FAIR Principles Radar Chart

Visualizes performance across all four FAIR principles (Findable, Accessible, Interoperable, Reusable) for all repositories. Each axis represents a FAIR principle.

Figure 3: FAIR Principles Comparison

Bar chart comparing average scores across the four FAIR principles. For multiple repositories, includes error bars showing standard deviation.

Figure 4: Repository Performance Breakdown

Detailed comparison of FAIR principle scores across repositories. For single repositories, shows individual scores; for multiple repositories, grouped bars display all principles.

Figure 5: Missing Elements Heatmap

Heatmap showing which FAIR elements are missing across repositories and their potential point value. Redder cells indicate more valuable improvements.