ModellRegistry

ModellRegistry is a centralized registry designed to catalog models across domains such as engineering, data science, and simulation. It provides a structured repository for metadata that describes models, their provenance, and their lifecycle, enabling discovery, reuse, and governance. Each entry typically includes a unique model identifier, name, version, authoring organization, creation and update dates, domain of application, modeling approach, and a description of the model’s purpose.

In addition to basic metadata, ModelleRegistry stores technical details such as inputs and outputs, assumptions, performance metrics, validation results, and information about training data provenance or data dependencies. Licensing, access rights, and provenance links to source code, datasets, and documentation are commonly captured to support reproducibility and auditability. Many registries also support model cards or bios for transparency, and may record lineage information to show how models are derived or modified over time.

Architecture and interoperability are central to ModellRegistry. It is typically implemented as a web service backed by a database, with support for CRUD operations, search and filtering, versioning, and model lineage tracking. Interoperability is promoted through standardized metadata schemas and ontologies, and export options in common formats (for example JSON-LD, CSV, or RDF). Registries may integrate with broader MLOps, data governance, or simulation pipelines to streamline model deployment, testing, and monitoring.

Governance structures vary but often involve a managing organization or consortium, with access controls, deprecation policies, and compliance with licensing and privacy rules. While improving transparency and reuse, ModellRegistry depends on consistent data entry and ongoing curation to realize its benefits.