# The Czech Path to a Community-Driven Research Data Infrastructure

- Institution: CERN
- Speaker: Matej Antol
- Year: 2026
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3025431)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The Czech Republic is developing a national implementation of the European Open Science Cloud aimed at establishing a sustainable National Data Infrastructure (NDI) for FAIR research data. The initiative builds on the long-standing national e-infrastructure e-INFRA CZ, as well as domain-specific infrastructures, and actively involves scientific communities through twelve EOSC CZ working groups, ensuring that the resulting services reflect real research needs.

The NDI combines large-scale, distributed storage, a shared software platform, and domain-specific repositories aligned with major research clusters. These repositories are integrated with national computing, networking, and cybersecurity environments, enabling both discipline-specific and cross-disciplinary research workflows. Alongside technical components, the initiative addresses data stewardship by embedding trained data stewards and curators across research organisations and by providing coordinated national training.

This Czech chapter of the EOSC initiative is supported by national and European funding. The emerging ecosystem delivers core services such as authentication, persistent identifiers, metadata catalogues, and governance frameworks. Its central component, the National Repository Platform, provides a federated, FAIR-by-design repository backbone tightly connected to European and global data infrastructures and services.

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## Lectures

1. [The Czech Path to a Community-Driven Research Data Infrastructure](https://invisiblenetwork.ai/learn/cern/3025431/77563381b7b3), 13 min (CERN's player)