Erasmus Data Sandbox

EDC Card — Erasmus Data Sandbox
Shared Research Platform Platform Engineering AI Experimentation Cross-Disciplinary Data Innovation Agentic AI Large Language Models Kubernetes Airflow Superset n8n Proxmox Ceph CrateDB
Case study

EDC support

As data becomes central to research, education and innovation, the Erasmus Data Sandbox provides a secure, powerful and flexible place to explore ideas, test hypotheses and build solutions. As one of the first core programmes of the EDC, the Sandbox gives researchers, commercial partners and startups a safe experimentation environment for prototyping data-science and AI solutions.

The Sandbox combines advanced technology, data tools, and collaboration features into a single shared space. To keep the platform running smoothly, the EDC platform engineer manages the entire environment: setting up the necessary computing power, handling storage access, and coordinating how different projects run. Inside this secure space, users can easily access datasets, algorithms, reusable code, and helpful guides. The platform supports a wide range of projects, from data organization and analytics to advanced AI technologies like Large Language Models (LLMs) and autonomous AI tools. This comprehensive setup allows users to develop and test their ideas rapidly while ensuring strict data security and oversight.

Beyond engineering, the EDC provides strategic consulting on computational power provisioning and platform suitability across the full lifecycle of data/AI projects, matching requirements to infrastructure, improving reliability and optimising spend.

  • Secure experimental environment for research, teaching and commercial collaboration
  • Shared tooling and curated datasets with reusable code and docs
  • Rights, storage and compute provisioning tailored to project needs
  • Support for Agentic-AI platforms and LLM-based experimentation
Diagram illustrating the Erasmus Data Sandbox platform and its shared components.
Erasmus Data Sandbox architecture and shared services enabling secure AI & data experimentation.

Impact

  • Faster prototyping and time-to-insight through shared infrastructure and templates
  • Secure, governed access enabling collaboration across faculties and partners
  • Right-sized compute and storage reduce cost and environmental footprint
  • Reusable components and documentation build a sustainable knowledge base

The EDC Data Sandbox has already been used in several EDC projects. Click on the buttons to read more!

Further reading

  • Data catalogues & governance patterns
  • Agentic-AI & LLM platform choices
  • Orchestration with Airflow, Hop & n8n
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