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BLEUHeritage-Bee-Genetics-Standards-Ethical-Reproducible-Framework

BLEUHeritage Bee Genetics Standards & Protocols

DOI License: CC BY 4.0 Standard Status

Overview

Standardized framework for bee genetics research with integrated ethical governance, data privacy, and reproducible science practices. This repository contains the open standards, protocols, and documentation for the BLEUHeritage Bee Genetics Study framework.

What This Includes

🗃️ Metadata Standards

  • Complete JSON schema for bee genetics metadata
  • Validation rules for data quality
  • Data dictionary with field definitions

📋 Field Protocols

  • Non-lethal sampling methods
  • Chain of custody procedures
  • Ethical collection guidelines

⚖️ Governance Framework

  • Data sovereignty principles
  • Tiered data access model
  • Community engagement protocols

🔒 Privacy & Security

  • Privacy by design implementation
  • Location masking and generalization
  • Tiered data classification system
  • Security best practices guide

🧪 Example Implementations

  • Sample metadata files
  • Configuration examples
  • Validation scripts

Quick Start

For Researchers

  1. Review the field protocols
  2. Use the metadata schema for your study
  3. Validate data with our validation rules

For Developers

# Clone repository
git clone https://github.com/bleuheritage/standards.git

# Validate sample metadata
python examples/validation-example.py examples/sample-metadata.csv

@software{bleuheritage_bee_genetics_standards_2025,
  author       = Cassandra Harrison,
  title        = {BLEUHeritage Bee Genetics Standards and Protocols},
  month        = dec,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.XXXXXXX},
  url          = {https://doi.org/10.5281/zenodo.XXXXXXX}
}

# Validate sample metadata
python examples/validation-example.py examples/sample-metadata.csv

About

Framework for standardized bee genetics: JSON-LD metadata, ethical protocols, governance with FAIR/CARE principles. Privacy-by-design, automated compliance, tiered access. Supports reproducible genomics for conservation, agriculture, climate studies with data sovereignty.

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