33nd Open Science Meet-up: Open Science in Psychology - A reality check

Monday 24 Mar 2025, 13:00 → 16:00 Europe/Berlin

Room 1.110 (Gruppenlabor der Abteilung für Wirtschafts- und Sozialpsychologie) (Georg-Elias-Müller-Institut für Psychologie)

Astrid Orth (SUB Göttingen), Birgit Schmidt (SUB Göttingen), Daniel Beucke (SUB Göttingen), Julika Mimkes (SUB Göttingen)

Several aspects of Open Science have become common practice in Psychology, ranging from pre-registration of studies to sharing preprints and FAIR data and code. Many of these practices are accessible and achievable at the individual and group level. However, there are also some pain points and challenges such as the additional effort and time that are needed to implement them. Some practices might be even controversial and less well regarded.

Therefore, this session aims at a reality check. We would like to explore and discuss with you what already works well, what is less established but would be worth to be adopted more broadly or could/should be discarded or revised.

Moreover, what barriers or disincentives from the academic environment can we identify and how could these be overcome? In particular, we would like to discuss what counts for research careers, and might be consequences for the current debate on reforming research assessment.

Pad: https://pad.gwdg.de/MSSdwRenSYy0WszpUcF7_w#

13:00 → 13:15 Welcome & Round of introductions

13:15 → 14:10 Short presentations

• Open Science Meet-Up - Birgit Schmidt, SUB Göttingen
• Quo vadis GOSSIP? - Christian Treffenstädt, Institute of Psychology
• Open Science in Psychology: Achievements and Challenges - Laura Botzet, Institute of Psychology

14:10 → 14:30 Break

14:30 → 15:15 Show & Tell

(tentative topics, c 5-7 min/each)
* My first preregistration - Simon Sina, Institute of Psychology (tbc)
* Handling deviations from preregistrations - Sabine Ostermann, Institute of Psychology (tbc)
* Too sensitive to share? Creating synthetic datasets with R in 5 minutes - Laura Botzet, Institute of Psychology
* A minimal approach to research data management - (tba)
* Showcase for variable sampling plans - (tba)
* Short takes on selected OS practices

Questions for presenters to take into account:
* What is it and why adopt it? (practice, skill, tool, etc.)
* What works for you?
* What does this practice add to your profile?
* What were/are the challenges? What would be needed to overcome them?
* Your recommendation(s)?

15:15 → 15:45 Discussion

15:45 → 16:00 Summary, updates & what’s next