Open Pulse Ontology

An RDF ontology for modeling contributions to open source scientific software and research articles from EPFL organizations and researchers.

Overview

The Open Pulse Ontology provides a structured vocabulary and validation rules (SHACL shapes) for capturing metrics about:

• People: Researchers and contributors with GitHub usernames, ORCID identifiers, and institutional affiliations
• Organizations: Universities, research institutions, and companies with ROR identifiers and GitHub handles
• Software Repositories: GitHub repositories with metadata, ownership, and contribution tracking
• Research Articles: Scholarly publications with DOI identifiers and author information
• Contributions: Individual commit-level contributions linking people to repositories
• Memberships: Affiliations between people and organizations with time periods and roles

Setup

Prerequisites

• Python 3.9 or higher
• uv (fast Python package manager)

Installation

# Install dependencies
uv sync

# Or for development (includes testing tools)
uv sync --extra dev

Validation

Running Validation

# Validate test data
uv run python tools/python/checks/shacl.py example/test_dataset_large_example.ttl ontology-combined.ttl

# Run full test suite
uv run python tools/python/checks/test_validation.py

Example Test Cases

The example/ directory contains test files demonstrating both valid and invalid data patterns:

• test_valid_*.ttl - Valid data conforming to the ontology
• test_invalid_*.ttl - Invalid data triggering specific validation errors

License

CC-BY-4.0