Open and FAIR Data
for the Energy Systems Community
Discover, analyze and participate - with our integrated suite of tools targeted at an open research data life cycle
See what's newCore Platform Features
Access energy system datasets, scenario descriptions & context, and shared standards for annotating transparent and reusable research data
Database & Metadata
Openly licensed energy systems modelling data adhering to a FAIR metadata standard.
Scenario Bundles
Combining datasets, scenario context, and studies for transparent energy modelling
Factsheets
Insights into model and framework characteristics
Ontology
Relevant terms and their relationships for annotating energy systems modelling
Platform Capabilities
Dive deeper into each section to discover the full range of tools and resources available
Database & Metadata
Collaborative energy data repository with advanced search and metadata management
Core Features:
- Upload and publish datasets via the OEP interface or API
- Standardized metadata management
- Data quality assessment and validation tools
- Collaborative data contribution workflows
Additional Resources:
Scenario Bundles
Collaborative scenario packages for energy system modeling and analysis
Core Features:
- Transparent, linked scenario bundles across data, models, and tools
- Scenario comparison and analysis tools
- Customizable parameter sets and assumptions
- Integration with modeling workflows and Knowledge Graph structures
Additional Resources:
Factsheets
Insights into energy system models and frameworks
Core Features:
- Structured documentation for energy system models and frameworks
- Collaborative editing
Additional Resources:
Ontology
Shared terms and relationships for annotating energy system data
Core Features:
- Community-developed domain ontology for energy system analysis
- Interactive exploration of ontology classes and relationships
- Linked data access and semantic querying via SPARQL
Additional Resources:
Integrated Workflows
A typical path through the platform. Steps can be taken in another order or revisited.
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1 Dataset Architect
Structures data records at the schema level. Defines tables, data types, and relationships as the foundation for consistent and validatable data management.
Tasks
- Dataset structure
- Table structures
- Data types
- Naming
Tools
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2 Data Importer
Transfers data to the OEP. Processes metadata, generates table structures, and enables efficient bulk data loading with validation
Tasks
- Metadata extraction
- Table creation
- Data Upload
- Revisions
Tools
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3 Metadata Wizard
Guides users through comprehensive metadata creation. Ensures compliance with OEMetadata standard and enhances data discoverability
Tasks
- Metadata+Templates
- Ontology annotation
- Versioning
Tools
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4 Data Certifier
Validates data quality and assigns trust levels. Enables peer review and quality control workflows for published datasets
Tasks
- Metadata validation
- Badges
- Data publication
Tools
Open Peer Review Persistent links -
5 Data Archivar
Under developmentManages long-term data preservation and assigns DOI. Enables archival and citation of research datasets — under development
Academy & Learning Resources
Master the platform with comprehensive tutorials, workshops, and educational materials designed for all skill levels.
- Hands-on tutorials and guided learning
- Research data management concepts
- Best practices for FAIR research data
- Quick guidance for common questions
Developer Resources
Access our comprehensive API, contribute to open source development, and integrate OEP into your workflows
API Access
Programmatic access to all platform data and functionality with comprehensive documentation
Code Repository
Open source platform code, contribute to development and access implementation examples
Documentation
Comprehensive technical documentation, guides, and best practices for all platform features