Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Event . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Event . 2025
License: CC BY
Data sources: Datacite
ZENODO
Event . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

DKZ.2R Data Competence College - Reproducibility in Research

Authors: Janz, Alicia; Hartman, Jonathan; Bossert, Lukas C.; Immel, Katharina; Mielke, Alexandra; Winter, Bodo; Kaithalikunnel Chandran, Anoop; +1 Authors

DKZ.2R Data Competence College - Reproducibility in Research

Abstract

The second Data Competence College "Reproducibility in Research" was hosted from November 24th to 26th, 2025 at the IT Center of RWTH Aachen University in Germany. Based on the concept of the Wissenschaftskolleg in Berlin or the Institute of Advanced Studies in Princeton, we invited three individuals with high data competence from different scientific fields (“Data Experts”) to participate as part of the Data Competence College: Prof. Julian Kunkel (University of Göttingen, Germany; Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG)) Prof. Bodo Winter (University of Birmingham, UK) Anoob K. Chandran (Forschungszentrum Jülich GmbH, Germany) For three 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.

  • BIP!
    Impact byBIP!
    citations
    The total number of citations received by all articles of the researcher of interest.
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
The total number of citations received by all articles of the researcher of interest.
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