Transparent and Reproducible Science
(1) Interest group on Open and Reproducible Science (IGOR)
Recently, an Interest group on ‘Reproducible and Open Science’ (IGOR) has been founded by members of the Section Biopsychology and Neuropsychology of the German Psychological Society (DGPs). Tina serves as the deputy spokesperson for IGOR together with Gordon Feld (Spokesperson). In 2020, IGOR has organized two virtual panel discussions on topics related to “Open and reproducible Science in Biological Psychology” which you can find here:
Open data in Biological Psychiatry planned as a panel discussion at the annual meeting of the Section Biopsychology and Neuropsychology of the German Psychological Society (DGPs) – called PUG (Psychology und Gehirn). Unfortunately, the meeting, was cancelled due to the COVID-19 pandemic, but the panel discussion was held virtually as an isolated event.
Power-panel – statistical power in Biological Psychiatry
(3) Transparent and reproducible work flow @lonsdorflab
The lab is establishing transparent and open science practices including pre-registration of new projects, sharing data and code (whenever feasible) and transitioning to fully reproducible manuscript writing. Please bear with us while we slowly and steadily establish these new routines, make mistakes on the way and (try to) do better next time. Changing routines is no walk in the park. We often discuss these topics as well as meta-research topics in our weekly lab meetings. We have organized work-shops on these topics at the Institute of Systems Neuroscience where the lab is located:
Automatic generation of codebooks though the R package ‘codebook’ by Ruben Arslan
reproducible mansuscript wirting
Reproducible manuscript writing using R markdown, git and container
(4) Field specific meta-research
The lab is interested in and performing field-specific meta-research – mostly focusing on psychophysiological methods or topics of experimental fear and anxiety research. We give our best to do this in a constructive and future-oriented way.
Recent examples include:
Sjouwerman, R. & Lonsdorf, T. B. (2020), Experimental boundary conditiongs of reinstatement-induced return of fear in humans: Is reinstatement in humans what we think it is? Psychophysiology, 75(5)
Lonsdorf, T. B., Klingelhöfer-Jens, M.,Andreatta, M., Beckers, T., Chalkia, A., Gerlicher, A., Haaker, J.,Jentsch, V., Meir Drexler, S., Mertens, G., Richter, J., Sjouwerman, R.& Wendt, J. & Merz, C. J. (2019) Navigating the garden of forking path for data exclusion in fear conditioning research. Elife, e52465
(5) An inventory of open data in fear conditioning research
We are currently piloting an inventory and database of publicly available data in fear conditioning research aiming to provide an overview on the status quo of data sharing and to enhance future findability and re-usability of publicly available data-sets. Please do not hesitate to reach out to Tina if you are intersted in more details or in contributing.
(6) Publicly available talks and poster presentations
The lab has recently started to publicly share slides for talks, recordings and poster presentations, which you can find on the OSF.