SEEK ID: https://ldh.lir-mainz.imise.uni-leipzig.de/people/9
Location:
Germany
ORCID: Not specified
Joined: 4th Jun 2025
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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: Not specified
Department: Not specified
Country:
Germany
City: Mainz
Web page: https://lir-mainz.de
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
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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