UniSAFE Survey - Gender-based violence and institutional responses

The UniSAFE survey collected data on experiences of gender-based violence, including sexual harassment, among students and employees in 46 higher education institutions and research institutions in 15 countries in the period 17.01.-01.05.2022 (n= 42,186). Factors of influence and effects of gender-b...

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Detalles Bibliográficos
Autores principales: Lipinsky, Anke (Autor) ; Schredl, Claudia (Autor) ; Baumann, Horst (Autor) ; Humbert, Anne Laure (Autor) ; Tanwar, Jagriti (Autor) ; Bondestam, Fredrik (Autor) ; Freund, Frederike (Autor) ; Lomazzi, Vera (Autor)
Tipo de documento: Electrónico Research Data Statistics
Lenguaje:Inglés
Publicado: Köln GESIS 2022
En:Año: 2022
Acceso en línea: Volltext (Resolving-System)
Rights Information:CC BY 4.0
Verificar disponibilidad: HBZ Gateway
Servicio de pedido Subito: Pedir ahora.
Palabras clave:
Arbeitsplatz
Gewalt
Gender
Wissenschaft
Außeruniversitäre Forschung
Kriminologie
Arbeitsumgebung
21. Jahrhundert
Forschungsdaten
Statistik > 2022 > Europa
Descripción
Sumario:The UniSAFE survey collected data on experiences of gender-based violence, including sexual harassment, among students and employees in 46 higher education institutions and research institutions in 15 countries in the period 17.01.-01.05.2022 (n= 42,186). Factors of influence and effects of gender-based violence are part of the survey. The prevalence data refers to six forms of violence, based on the four forms of gender-based violence described in the Council of Europe's Istanbul Convention: physical violence, psychological violence, economic violence and sexual violence. In addition, the survey includes two other forms of violence: sexual harassment and digital violence. The results of the UniSAFE survey add to the current knowledge base on the occurrence of gender-based violence by individuals (micro-level) in the context of science and research. The UniSAFE survey is part of an EU-funded study (grant number 101006261) with several qualitative and quantitative data collections.
DOI:10.7802/2475