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Event . 2025
License: CC BY
Data sources: Datacite
ZENODO
Event . 2025
License: CC BY
Data sources: Datacite
ZENODO
Event . 2025
License: CC BY
Data sources: Datacite
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DKZ.2R Data Competence College (DCC) - March 2025

Authors: Hartman, Jonathan; Bossert, Lukas C.; Janz, Alicia; Immel, Katharina; Klenke, Jens; vatho, chem; Lichtenberg, Nils; +6 Authors

DKZ.2R Data Competence College (DCC) - March 2025

Abstract

The first Data Competence College was hosted from March 27th to 28th, 2025 at the IT center of RWTH Aachen. Based on the concept of the Wissenschaftskolleg in Berlin or the Institute of Advanced Studies in Princeton, we invited two individuals with high data competence from different scientific fields (“Data Experts”) to participate as part of the data competence college: Prof. Sebastian Houben (Hochschule Bonn-Rhein-Sieg, specialist in AI and autonomous systems) Dr. Moritz Wolter (University of Bonn, expert in high performance computing and machine learning) For two days we aimed to create a space where not only local scientists, and especially early career researchers, learn from the data experts and each other regarding research data and methods but also data experts could inspire each other. The schedule included keynote presentations by all data experts, poster and group presentations by the participants, 1:1 sessions between data experts and early career researchers, as well as a method- and data-related workshop. We aimed foremost to create an environment in which everyone feels safe to give input, share their knowledge and learn from the other participants and experts.

This publication has been made possible through the DKZ.2R "Datenkompetenzkolleg Rhein-Ruhr" (16DKZ2030.) by the Federal Ministry of Research, Technology and Space financed by the European Union programme "NextGenerationEU".

Keywords

high performance computing, machine learning, support, data literacy, research data management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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