Cross-disciplinary user support network in NFDI4Earth

The national research data infrastructure NFDI4Earth builds a network of 65 partners to support research data management (RDM) in the Earth system sciences. One of the currently established infrastructures is the user support network (USN) [1]. The partner institutions of NFDI4Earth range from universities over research institutes to governmental agencies, all having different approaches to handle research data in their specific discipline, different support infrastructures and workflows as well as different ways to support users in research data handling. In most cases the local RDM support of an institution is the right place to go for individual researchers. But in case there exist no local RDM support or for cross-disciplinary projects it might be difficult for the single user to find the right contact point and solution for their support request. A distributed support network can help in these cases involving several support persons dealing with individual user service request. Our ambition is to provide a high-quality data management support network for ESS researchers. In this network, already existing support institutions contribute jointly. We also collaborate with national consortium helpdesks of related disciplines to share experiences and offer an even wider support portfolio. We present our support network, the established workflows [2] and internal organization, and address the challenges we are facing.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16736150
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-disciplinary user support network in NFDI4Earth

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Cross-disciplinary user support network in NFDI4Earth

article en

Abstract

The national research data infrastructure NFDI4Earth builds a network of 65 partners to support research data management (RDM) in the Earth system sciences. One of the currently established infrastructures is the user support network (USN) [1]. The partner institutions of NFDI4Earth range from universities over research institutes to governmental agencies, all having different approaches to handle research data in their specific discipline, different support infrastructures and workflows as well as different ways to support users in research data handling. In most cases the local RDM support of an institution is the right place to go for individual researchers. But in case there exist no local RDM support or for cross-disciplinary projects it might be difficult for the single user to find the right contact point and solution for their support request. A distributed support network can help in these cases involving several support persons dealing with individual user service request. Our ambition is to provide a high-quality data management support network for ESS researchers. In this network, already existing support institutions contribute jointly. We also collaborate with national consortium helpdesks of related disciplines to share experiences and offer an even wider support portfolio. We present our support network, the established workflows [2] and internal organization, and address the challenges we are facing.

Zenodo (CERN European Organization for Nuclear Research)
Karlsruhe Institute of Technology (DE), Universität Hamburg (DE), German Climate Computing Centre (DE), Leibniz Institute for Baltic Sea Research Warnemünde (DE), GEOMAR Helmholtz Centre for Ocean Research Kiel (DE), Computing Center (RU), GFZ Helmholtz Centre for Geosciences (DE), Leibniz Supercomputing Centre (DE), Freie Universität Berlin (DE), Technische Universität Dresden (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Scientific Computing and Data Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.