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The Czech EOSC Node contributes to the EOSC Federation by providing Czech national e-infrastructure and services, thus providing researchers with access to advanced computational resources, secure sensitive data environments, and research data repositories. 

Its advanced capabilities include LLM-as-a-Service, Galaxy, Kubernetes, Jupyter, SensitiveCloud and federated file sync and share, while providing an onboarding framework for national repositories and strategic multi-node use cases with other EOSC Nodes. 

The entire Czech ecosystem will be connected to the EOSC Federation through federated AAI built on the Perun platform. The Node’s specialised services, including the SensitiveCloud Trusted Research Environment and a dedicated Service Incubator for emerging services to be incorporated in the Node, help support FAIR data practices across the EOSC Federation. 

Key objective:

To showcase the work of Czech researchers and institutions by connecting their research outputs and services to the EOSC Federation.

Science areas: Specialised services dedicated for all science areas, including FAIR data management, Trusted Research Environments and Virtual Research Environments, and AI services.

EOSC Node Czechia expands EOSC technical capacity through secure sensitive-data environments, federated AI services, Galaxy workflows, and curated national repositories supporting cross-border research.



FAIR data

The EOSC CZ Node provides FAIR research data through national repositories including MBDB, GENASIS, LINDAT/CLARIAH-CZ and other domain-specific repositories, supported by the National Metadata Directory, repository onboarding framework, Data Stewardship Wizard for machine-actionable DMPs, and a Service Incubator for onboarding emerging FAIR-compliant services.

Scientific use cases

Cross-Node Federated LLMs integration with Neurodesk

This use case brings AI assistance into Neurodesk, a community-driven platform used for reproducible neuroimaging and biomedical imaging research.

The aim is to make AI tools available directly within the environment researchers already use, helping them with coding, analysis and more complex research tasks without requiring them to set up separate services. This makes the experience simpler for users while supporting a wider range of AI models and increasing the capacity available to the Neurodesk community.

The work brings together Neurodesk, EOSC Node EGI, EOSC Node Czechia and HUN-REN SZTAKI in Hungary. The EGI EOSC Node provides the federation layer that connects participating organisations, while EOSC Node Czechia and HUN-REN SZTAKI contribute computing capacity for running AI models. Neurodesk integrates these capabilities into its Europe Play environment, giving researchers straightforward access to AI support alongside their scientific workflows. The result is a shared, distributed approach that combines expertise and infrastructure from several organisations while keeping the user experience within Neurodesk.

AI-enhanced federated Galaxy workflows

This use case builds upon the established European Galaxy network, integrating the Czech usegalaxy.cz instance with the wider multi-node network (including usegalaxy.eu operated by the NFDI node).

As a pioneer in the second wave of EOSC Nodes, the Czech Node will introduce a new feature: the integration of Galaxy workflow systems with the Federated LLM-as-a-Service (LLMaaS). Building on an existing successful prototype between the .cz and .eu instances, this project will mature the integration to production quality to provide advanced analytical pipelines for the ELIXIR and NFDI communities.

This allows researchers to utilize Large Language Models directly within their scientific pipelines for tasks such as automated data annotation, metadata enrichment, and code generation for custom analytical steps. By integrating LLMs into Galaxy, researchers can automate complex interpretive tasks that previously required manual intervention, significantly accelerating the research lifecycle.

Other use cases

  1. SensitiveCloud for MCVAL (multi-centric validation of AI models for cancer screening)
  2. Federated File Sync and Share services
  3. Federated analysis of Sensitive Data in TRE with the EOSC Node Switzerland

Status

Candidate National EOSC Node

CESNET Director Jakub Papírník (right) and Luděk Matyska, Director of CERIT-SC at the Institute of Computer Science, Masaryk University, present the signed EOSC Federation MoU, 15 July 2026.

Deliverables

  1. Core EOSC services including AAI, catalogue, monitoring and accounting
  2. Service management processes
  3. Multi-node use cases implementation
  4. Service incubator rules and conditions 
  5. Node 1st Year Status – Documentation




Technical status

Planned

  • Federated AAI
  • Onboarded service catalogues (National Metadata Directory; e-INFRA CZ services; repository onboarding framework)
  • Application workflow management (LEXIS; Galaxy; Kubernetes; Jupyter)
  • Service monitoring
  • Service and research product accounting
  • Order management
  • Helpdesk
  • Management system 

Interactions with other EOSC Nodes


Rules of Participation

Services use e-INFRA CZ AAI federated into EOSC AAI and will be available in different provisioning models. Czech Resource Catalogue will be integrated with EOSC EU Resource Catalogue.

Federated services

  • e-INFRA CZ AAI / Perun
  • Data Stewardship Wizard
  • Federated Enterprise File Sync-and-Share
  • LLM-as-a-Service
  • LEXIS Platform

Data repositories

  • MBDB
  • GENASIS
  • LINDAT/CLARIAH-CZ
  • Czech BioImaging
  • Archaeological Map of the Czech Republic
  • Czech Social Science Data
  • DataHub
  • RECETOX RI Mass Spectrum Reference repository

Compute and storage

  • OpenStack IaaS
  • Kubernetes CaaS
  • National compute and storage resources

VRE

  • Jupyter Notebooks
  • Galaxy including UMSA
  • LEXIS computational workflow platform
  • SensitiveCloud

File sync-and-share

Federated Enterprise File Sync-and-Share via OpenCloudMesh

Other

  • National Metadata Directory
  • Monitoring and accounting
  • Sovereign LLM APIs
  • Service Incubator

Coordinating organisations


Czech national e-infrastructure provider for research, education and innovation
Research infrastructure providing cloud and data management services for data-intensive research
National supercomputing centre providing HPC, AI and data-intensive computing services

Node organisation

Coordinator

Luděk Matyska (CERIT-SC / CESNET)

Operations Officer

Miroslav Ruda (CESNET)

AAI Officer

Peter Lenyi (CERIT-SC)

Cybersecurity Officer

Daniel Kouřil (CESNET)

Legal Officer

Iva Huňková (CERIT-SC)

Communications Officer

Dominika Králiková (CERIT-SC)

Incubator Manager

Jaroslav Juráček (CERIT-SC)
Michaela Capandová (CERIT-SC)

Project Manager

Antonín Zita (CERIT-SC)

Contributing organisations

Czech universities and research organisations taking part in the national EOSC CZ implementation projects and other projects related to the National Data Infrastructures, infrastructures such as RECETOX RI or ELIXIR CZ, and various data repositories.