First fully automated tool for MODA documentation generation and workflow registration. How NovaMechanics built the first automated tool for generating standardised MODA documentation of scientific simulation workflows — automating complex model registration to enhance reproducibility and FAIR compliance across physics-based and data-driven simulations. Enter project overview and metadata: Input project title, DOI, publication details, and workflow description. Easy-MODA stores these as foundational metadata and automatically links them to all subsequent models and data transformations in the workflow. Add models and data transformations: Define the workflow structure by adding individual models and data transformations. Each element is tagged with type, purpose, and dependencies, supporting both simple linear workflows and complex scenarios (linked, iterative, tightly coupled multi-model systems). Select model type and fill structured forms: For each model, select whether it is physics-based or data-based. Easy-MODA presents type-specific forms with pre-filled compatible options, guided suggestions, and field validation to eliminate incompatible combinations and reduce manual entry errors. Auto-map fields and export documentation: Easy-MODA automatically maps fields between QMRF (QSAR Model Reporting Format) and MODA templates, generates standardised DOC format documentation, and exports as JSON for reuse and versioning. All interdependencies are resolved automatically. Store and retrieve via cloud platform: Save MODA documents to cloud-based storage via the Enalos Cloud Platform, enabling retrieval, modification, and sharing. JSON exports allow version control and integration with reproducibility frameworks across the research community. CEN CWA Standards-compliant (CWA 17284:2018) MODA documentation. FAIR Enhanced FAIR principles for simulation reproducibility. Multi-Model Physics-based and data-driven workflows fully supported. First - Automated MODA Tool. CEN - Standards Compliant - CWA 17284:2018 compliant documentation for physics-based and data-driven models. FAIR - Data Principles Supported - Enhanced FAIR compliance for scientific simulation findability and reusability. Physics + Data - Both Model Types - Full support for physics-based simulations and AutoML data-driven models in workflows. JSON - Reusable Exports - Export workflows as JSON for version control and reproducibility across platforms. Free - Web Access - Freely available on the Enalos Cloud Platform with cloud-based storage and retrieval.
