Workshop: 26GGN15 Einführung in Open Science und Prä-Registrierung - Details

Workshop: 26GGN15 Einführung in Open Science und Prä-Registrierung - Details

Allgemeine Informationen

Veranstaltungsname Workshop: 26GGN15 Einführung in Open Science und Prä-Registrierung
Untertitel
Veranstaltungsnummer 26GGN15
Semester SoSe 2026
Aktuelle Anzahl der Teilnehmenden 0
Heimat-Einrichtung Gießener Graduiertenzentrum Naturwissenschaften und Psychologie (GGN)
Veranstaltungstyp Workshop in der Kategorie Lehre
Nächster Termin Do, 10.09.26, 14:00 - 15:30

Räume und Zeiten

Ohne Raum

  • Donnerstag, 10.09.26, 14:00 - 15:30 Uhr
  • Dienstag, 15.09.26, 14:00 - 15:30 Uhr

Informationen für das eVV

Kommentar/Beschreibung

Open Science has become increasingly important across many scientific disciplines. In some academic appointment procedures, a strong orientation toward Open Science is now even considered a desirable qualification for professorships. But what exactly does Open Science mean, and what are its core principles? What are questionable research practices, and how can preregistration help to document transparent and methodologically sound research?

These questions will be addressed during the first session of this two-part workshop. The second session focuses on different forms and structures of preregistration as well as a hands-on preregistration exercise using the Open Science Framework (OSF). Finally, participants will discuss the opportunities and limitations of preregistration. This workshop is intended for students and researchers from all disciplines who would like to learn more about Open Science and establish preregistration as a natural part of their research process.

The Instructor:

Prof. Dr. Ulrike Gisch is Professor of Nutritional Psychology at JLU Giessen. She works in a research field in which transparent, traceable, and reproducible research is becoming increasingly important. Through her academic experience, she is highly familiar with the challenges of modern research practice, including issues related to bias, reproducibility, and methodological quality.

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