InvenioRDM

InvenioRDM is an open-source, turn‑key research data management platform for creating and operating institutional data repositories. It provides record and file management, rich metadata, search and APIs together with a React-based user interface for publishing and discovering research datasets.

Key Features

• Record-based dataset management with metadata schemas and file attachments
• Versioning and provenance for datasets and uploaded files
• Fine-grained access controls and role-based permissions for records and files
• S3-compatible object storage support for large file storage
• Full-text and faceted search powered by Elasticsearch
• REST APIs and a React UI for programmatic and interactive access
• Background task processing and ingestion pipelines (Celery/Redis)
• Docker-based deployment artifacts and configuration for production stacks

Use Cases

• Institutional or departmental research data repositories for dataset publishing and DOI minting
• Long-term management of research outputs with metadata, versioning and access policies
• Harvesting, indexing and exposing collections of datasets for discovery and reuse

Limitations and Considerations

• Relies on a multi-component stack (PostgreSQL, Elasticsearch, Redis, object storage) which increases operational complexity
• Not a single-binary lightweight solution; deployment and scaling require orchestration and resource planning
• Customizing complex metadata schemas and UI workflows has a learning curve and may require Python development

InvenioRDM is suitable for universities, laboratories and research infrastructures that need a standards-oriented, extensible repository platform. It combines production-grade search, storage and APIs with workflow features needed for dataset publishing and discovery.