Galaxy Ecology

Galaxy Ecology applies an atomization framework to support biodiversity data management and reproducible ecological analyses aligned with FAIR and Open Science principles within the Galaxy ecosystem.

Key Features:

• Atomization: Breaks down complex analytical procedures into discrete, reusable "atoms" that can be generalized across studies.
• FAIR and Open Science alignment: Implements practices to make data and analyses Findable, Accessible, Interoperable, and Reusable and to support Open Science principles.
• Biodiversity data management and analysis: Provides components and workflows tailored for ecological and biodiversity research within the Galaxy ecosystem.
• Reproducibility and transparency: Emphasizes traceable, repeatable analytical steps to increase confidence in ecological study outcomes.
• Production-level analytical pipelines: Supports the transition from individual project analyses to production-ready analytical pipelines.
• Scalability and adaptability: Designs analytical components to be reusable and adaptable across multiple studies and scales.
• Operational framework for workflow construction and sharing: Offers a structured approach for composing and disseminating analytical procedures.
• Origin: Developed by the French Data Terra research infrastructure Biodiversity data hub (PNDB).

Scientific Applications:

• Reproducible ecological research: Enables construction of analyses with explicit, reusable steps to enhance reproducibility in ecological studies.
• Production pipeline development: Facilitates building production-level analytical pipelines from project-scale analyses.
• Standardization across biodiversity studies: Promotes reuse and standardization of analytical components across multiple ecological investigations.
• Transparency and confidence in results: Improves transparency of analytical procedures to support greater confidence in biodiversity research outcomes.
• Scalable methodology deployment: Supports adapting analytical approaches to different study scales and contexts.

Methodology:

Decomposition of complex analytical procedures into discrete, reusable "atoms" (atomization) and integration of those atoms into Galaxy workflows.