EOSC CZ: Towards the development of Czech national ecosystem for FAIR research data
Matej Antol, Jiri Marek, Michaela Capandova, Jaroslav Juracek, Ludek Matyska
TL;DR
The paper addresses the challenge of data heterogeneity and poor reproducibility in research by outlining the Czech Republic’s plan to implement EOSC CZ. It describes the architecture-based approach: establishing a five-layer National Data Infrastructure (NDI) with a federated National Repository Platform (NRP) and integrating existing repository systems, plus FAIR-supporting services such as a Central Discovery Portal, metadata directory, and identity management. Key contributions include the Architecture of EOSC implementation in the Czech Republic document, the NRP/NDI blueprint, and the timeline for deploying core services and training to enable national data management and reuse. The work demonstrates how Czechia aims to align with EOSC at the national level, enabling researchers to store, share, and reuse data across institutions and Europe, with engagement through active communities and training.
Abstract
This short paper presents a compact overview of the Czech approach to implementing the European Open Science Cloud and plans for developing a Czech national infrastructure for FAIR research data. Its purpose is to provide an all-encompassing summary of the near future of research data management in Czechia. As such, we deliberately attempt to explain complicated concepts in minimum words, sacrificing the precision of expression for compactness.
