Dr. Sandra Zänkert

Data Steward
Data Science Center

Collection, processing, analysis, and visualization of data from the fields of psychoneuroendocrinology, psychophysiology, and quantitative questionnaire research; establishment and development of expertise in sustainable research data management.

Sandra Zänkert received her diploma in psychology from the Technical University of Dresden. Subsequently, she worked at the Chair of Medical Psychology, Psychological Diagnostics and Methodology at the University of Regensburg. There she was involved in university teaching in medicine and psychology on the one hand and further conducted research in the field of psychoneuroendocrinology with focus on a standardized laboratory paradigm for stress induction. Her most recent work was in a DFG project investigating psychobiological stress regulation in aggression and she contributed data to a research project investigating language-based detection of physiological markers of stress using machine learning. In 2022, she completed her PhD in Biological Psychology on methodological aspects of two standardized laboratory paradigms applied in stress and anxiety research.

As an early career researcher, Sandra Zänkert is an active member of the German Society for Psychology (DGPs). Here, due to the so-called replication crisis in psychology, open science, as well as reproducibility and sustainability in the research process have been a major topic over the past few years. Sandra Zänkert is also member of the Society for the Improvement of Psychological Science (SIPS) and the Interest Group for Open and Reproducible Science (IGOR).

As a data steward at the DSC, Sandra Zänkert now advises researchers in the natural and especially the health sciences throughout the data life cycle: she provides assistance with writing project proposals, data acquisition, cleaning and quality assurance of datasets, publication, and sustainable archiving. She is also involved in teaching the basics of adequate research data management, networking for interdisciplinary Big Data projects, and developing standard workflows and best practices.

University of Bremen
Mehrzweckhochhaus (MZH)
Room 8071
Bibliothekstr. 5
28359 Bremen

+49 (421) 218 63957