Cross-border or cross-domain data management & International RDM

EUDAT Conference 2024

3-5 December 2024 | Karlsruhe, Germany

In an increasingly interconnected world, the need for effective cross-border and cross-domain data management is vital to facilitate collaboration, enable data-driven decision-making, and drive innovation. EUDAT’s vision is that “data is shared and preserved across borders and disciplines”. To achieve this vision, EUDAT is enabling data stewardship within and between European research communities through a Collaborative Data Infrastructure (CDI), which is a common model and service infrastructure for managing data spanning all European research data centers and community data repositories. Through the EUDAT CDI, researchers and practitioners from any research discipline can preserve, find, access, and process data in a trusted environment.

From experience with EUDAT and following the discussions within EOSC, one of the big challenges is the provisioning of services, data and resources across borders and scientific domains. These challenges are mostly not technical but are more related to organisational, legal and/or funding issues.

This session delves into the complexities and opportunities associated with managing data across national borders and diverse domains. It presents different solutions, but also the challenges, by research communities, a large National infrastructure program and internationally, beyond Europe.

Session Organisers : Abdulrahman Azab ( Sigma2) and Mark van de Sanden (SURF)

Presenters :

Bjorn Gruning, University of Freiburg

Mattias Wadenstein, NelC

Tilo Mathes, Research Space

Marcus Hardt, Forschungszentrum Julich

Claudia Martens, DKRZ ( German Climate Computing Centre)

The latest practices in cross-border and cross-domain data management are now available. Discover the presenters' findings below :

Introduction to Cross-border & Cross-Domain Data

Navigating the Stars: Unpacking the Galaxy Pulsar Network and Its Role in EU Science by Bjorn Gruning

Large-Scale Cross-Border Data Success Story by Mattias Wadenstein

EUDAT as Global Research Commons by Tilo Mathes