Concept for Quality Improvement of the User Support Network (NFDI4Earth Deliverable D2.2.4)

In this concept we describe the annual quality improvement cycle of the NFDI4Earth distributed User Support Network (USN). The definition of indicators, a timeline to collect the information and an action plan to react on the outcome is part of this concept.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-07
DOI
https://doi.org/10.5281/zenodo.15196213
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Concept for Quality Improvement of the User Support Network (NFDI4Earth Deliverable D2.2.4)

Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Concept for Quality Improvement of the User Support Network (NFDI4Earth Deliverable D2.2.4)

article en

Abstract

In this concept we describe the annual quality improvement cycle of the NFDI4Earth distributed User Support Network (USN). The definition of indicators, a timeline to collect the information and an action plan to react on the outcome is part of this concept.

Zenodo (CERN European Organization for Nuclear Research)
Karlsruhe Institute of Technology (DE), Universität Hamburg (DE), German Climate Computing Centre (DE), GEOMAR Helmholtz Centre for Ocean Research Kiel (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Software System Performance and Reliability
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.