Work

DKZ.2R Data Competence College - Reproducibility in Research

Explore connections →Open source / material ↗

Publication details

Format
Event · event
Published
2025-12-09 (day precision)
Version DOI
10.5281/zenodo.17867006
Concept DOI
10.5281/zenodo.17867005

Authors, in publication order

  1. Janz, Alicia · ORCID (University of Cologne, as recorded)
  2. Hartman, Jonathan · ORCID (RWTH Aachen University, as recorded)
  3. Bossert, Lukas C. · ORCID (RWTH Aachen University, as recorded)
  4. Immel, Katharina · ORCID (Forschungszentrum Jülich, as recorded)
  5. Mielke, Alexandra · ORCID (Hochschule Bonn-Rhein-Sieg, as recorded)
  6. Winter, Bodo · ORCID (University of Birmingham, as recorded)
  7. Kaithalikunnel Chandran, Anoop · ORCID (Forschungszentrum Jülich, as recorded)
  8. Kunkel, Julian · ORCID

Source description

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.

Connections

Arrows preserve the direction of the sourced statement. “Discusses” and “teaches” are distinct from documented tool use.

Content & provenance

This page is backed by content/knowledge/works/zenodo-17867005.md. Source metadata and imported relationships are kept separate from authored Markdown and additional connections.

Graph JSON · JSON-LD · Relationship vocabulary