Svenja Mrugalla
SEEK ID: https://ldh.lir-mainz.imise.uni-leipzig.de/people/7
Location:
Germany
ORCID:
https://orcid.org/0009-0008-3499-3721
Joined: 4th Jun 2025
Expertise: Not specified
Tools: Not specified
Roles
Project administrator
Their tagsRelated items
ResiMETA is an open-access, continuously updated database for trajectory-based resilience research summarizing over 300 studies on mental health responses to stress and the predictive value of psychosocial resilience factors. It is conducted by the Leibniz Institute for Resilience Research in Mainz, Germany.
Programme: Leibniz-Institut für Resilienzforschung (LIR) gGmbH
Public web page: Not specified
ROR ID: https://ror.org/https://ror.org/00q5t0010
Department: Not specified
Country: Germany
City: Mainz
Web page: https://lir-mainz.de/en/lir
Abstract
Authors: Anna Fichtenkamm, Lea Schaubruch (formerly Thomas) , Svenja Mrugalla, Sophie Streit, Elisabeth Limberg, Rachel Eckford, Michele Wessa, Prof. Dr. Klaus Lieb , Sarah Schäfer
Date Published: 2026
Publication Type: Study Registration
Abstract (Expand)
Authors: Lea Schaubruch (Formerly Thomas) , Prof. Dr. Klaus Lieb , Sarah Schäfer, Sophie Streit, Svenja Mrugalla
Date Published: 2025
Publication Type: Study Registration
Abstract (Expand)
Authors: Svenja Mrugalla, Sarah Schäfer, Temitayo Olurin, Lea Schaubruch (formerly Thomas) , Prof. Dr. Klaus Lieb
Date Published: 2025
Publication Type: Study Registration
Abstract (Expand)
Authors: Sarah Schäfer, Lea Schaubruch (formerly Thomas) , Michele Wessa, Carolina Pank, Prof. Dr. Klaus Lieb , Sophie Streit, Svenja Mrugalla, Oliver Tüscher
Date Published: 2025
Publication Type: Study Registration
The ResiMETA data dictionary provides concise definitions and coding schemes for all variables in the database. It supports consistent data entry, analysis, and interpretation across resilience research studies.
Creators: Svenja Mrugalla, Lea Schaubruch
Submitter: Lea Schaubruch
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This document outlines the methodology, review protocol, eligibility criteria, and data extraction procedures of the ResiMETA project. It provides comprehensive guidance for understanding the database structure and for researchers intending to use ResiMETA for their own work.
Creators: Svenja Mrugalla, Lea Schaubruch
Submitter: Lea Schaubruch
