Aruna
Aruna is a data management and sharing platform designed to support FAIR (Findable, Accessible, Interoperable, Reusable) research data in the life sciences. It enables researchers to store, organize, publish, and share datasets together with rich metadata, while supporting versioning, controlled access, and long-term data availability.
Key Benefits
- FAIR-by-design: Structured metadata supports data discovery, citation, and reuse.
- Reliable long-term storage: Data is stored redundantly to ensure availability and protection against data loss.
- Versioned datasets: Changes are tracked over time while earlier versions remain accessible.
- Flexible access control: Data can be kept private, shared with collaborators, or published openly.
- Workflow-ready: Datasets can be accessed both via a web interface and integrated directly into computational workflows through standard programmatic access.
Features
- Dataset upload, organization, and metadata annotation.
- Dataset versioning and provenance tracking.
- Controlled sharing and publication of data.
- Support for large datasets and collaborative projects.
- API-based access for automation and workflow integration.
Applications
- Research data management across the full project lifecycle.
- Publishing and sharing datasets alongside scientific publications.
- Supporting reproducible research and data reuse.
- Infrastructure component for institutional or national research data platforms.
Intended Use
Aruna is intended for researchers, data stewards, and infrastructure providers who need a reliable, FAIR-compliant platform for managing, sharing, and preserving scientific data.
No de.NBI funding