RSpace is an open-source research data management platform designed to be a user-friendly and integrated frontend for researchers to efficiently connect and utilize research infrastructure in sustainable FAIR research workflows across the entire research lifecycle.
- Electronic Lab Notebook — document experiments, protocols, and observations with rich media, templates, version control, and full auditability
- Inventory Management — track samples, reagents, and equipment with customizable metadata, locations, and relationships
- Infrastructure Orchestration — connect research workflows with the tools and services your institution uses
- FAIR Data — built-in features and persistent identifiers to make research data Findable, Accessible, Interoperable, and Reusable
- Run locally with Docker — quickest way to get RSpace running on your own machine
- Request a demo
Everything you need to build and run RSpace from source:
→ Developer Getting Started Guide
This covers dependencies, database setup, building the project, running RSpace locally, and IDE configuration.
We welcome contributions of all kinds — code, UX, documentation, templates, integrations, and more.
→ Guide to the RSpace Project — your guide to the project and how to contribute
→ Getting Started as a Contributor — read this before your first contribution
→ Roadmap — where we're headed and where to get involved
- 📅 Office Hours — bi-monthly community call, open to all
- 📬 Stay in touch — newsletter, Mastodon, LinkedIn, Bluesky, and more
- User Documentation — guides and reference for researchers using RSpace
- API Reference — REST API documentation and interactive explorer
- DevDocs — developer documentation: architecture, coding standards, development workflows
