European Space Agency: EarthCODE


EarthCODE is a federated, FAIR (Findable, Accessible, Interoperable, Reusable) and Open Science infrastructure developed under the European Space Agency (ESA) to meet the evolving needs of modern Spatial Data Infrastructures (SDIs). It aims to transform Earth Observation (EO) science by enabling interoperable, reproducible, and machine-actionable workflows across platforms, disciplines, and governance domains. EarthCODE offers a centralized, integrated portal and ecosystem for accessing, processing, publishing, and reusing EO data and scientific experiments, adhering to open science and FAIR principles.

Key Features
• EarthCODE Portal
Central access hub offering single sign-on (SSO), data/workflow discovery, publishing, and community engagement via EarthCODE Discourse.

• Open Science Catalog (OSC)
Public interface for publishing, discovering, and accessing metadata-rich scientific data and workflows using standards like STAC and OGC API-Records.

• Integrated FAIR Platforms
FAIR Open Science Platforms: Tools for developing, documenting, and publishing experiments. FAIR Infrastructure Platforms: Cloud compute environments co-located with data to run workflows at scale.

• Workflow & Experiment Support
Supports Jupyter Notebooks, ML models, CWL, and openEO graphs. Experiments are fully documented and reproducible, with inputs, configurations, and outputs linked.

• ESA Project Results Repository (PRR)
Long-term storage for validated datasets and workflows.

• Support from ESA Network of Resources (NoR)
Enables sponsored access to computing and storage for EO research projects.

• Global Collaboration
Integrated with broader efforts like APEx and the Open Science Persistent Demonstrator (OSPD) for scalability and inter-agency interoperability.

Benefits & Impact
• Improved Interoperability
Overcomes platform silos by standardizing data formats, APIs, and metadata structures.

• Reproducibility & Reuse
Facilitates transparent science with linked, validated, and published experiments and workflows.

• Collaboration Across Borders
Supports cross-institutional, cross-national, and cross-disciplinary research communities.

• Scalable & Efficient Research
Moves computing to the data, reducing cost and enhancing workflow efficiency.

• Trust & Transparency
Through persistent identifiers, documentation, licensing, and open metadata practices.

• Future-Proof Infrastructure
Positioned as a living model for next-generation SDIs aligned with international spatial strategies.

Use Cases
• Scientific Earth Observation Research
• Cross-platform Workflow Execution
• Community-driven Knowledge Exchange
• Open Data Publishing
• Policy and Governance Insights