HUN-REN ARP Presented at the EOSC Winter School
The 2026 EOSC Winter School aimed to deepen the strategic and practical implementation of the European Open Science Cloud (EOSC), with particular focus on the role of national initiatives, institutional service providers, and experts.
The event, held in Nice between January 27–29, was attended by dr László Kovács and Balázs Pataki from the Department of Distributed Systems (DSD) of HUN-REN SZTAKI, the developers and operators of HUN-REN ARP Research Data Platform. The program provided a comprehensive overview of the current directions of EOSC and offered a forum for exchanging experiences and building professional connections.
On the opening day, an unconventional “matchmaking” or “speed dating” session gave us the opportunity to present ARP in individual 10-minute discussions to the 14 thematic and national EOSC nodes currently under implementation. The aim of these discussions was to explore which EOSC nodes might benefit from the solutions developed in ARP, and how we could learn from existing nodes in preparation for the planned Hungarian national node. We found that the metadata schema repository and schema editor functionalities used in ARP, along with their integration into the RO-Crate data and metadata packaging technique universally applied across the entire ARP platform, represent a unique solution that is either missing from many current EOSC nodes or could complement their existing features. Our AI-powered data steward assistant solution, VibeARP, also attracted significant interest, as similar concepts in other data repositories exist only at the planning level right now.
During the EOSC Winter School, particular emphasis was placed on EOSC’s future operating model, the changing role of the EOSC Association, new and best practices in establishing National Nodes. Participants received an overview of the upcoming priorities of the EOSC SRIA (Strategic Research and Innovation Agenda), as well as insights into how these priorities can be aligned with national research and innovation policy frameworks.
