Knowledge Hub
The Knowledge Hub provides links to resources supporting the measurement of violence against women and has been funded under the Pacific Spotlight Initiative. While starting with a primary focus on Pacific resources and global resources which are applicable for the Pacific region, the Knowledge Hub will continue under the UNFPA kNOwVAWdata initiative to support global knowledge exchange and a strong community of practice. The strength of this Knowledge Hub is the opportunity to share resources and support all regions of the globe.
If you would like to share links to be added to the Knowledge Hub, please send them to knowvaw-program@unimelb.edu.au.
Gender and IoT (G-IoT) Tech Abuse Guide
How internet-connected devices can affect victims of gender-based domestic and sexual violence and abuse
Gender and IoT (G-IoT) Resource List
This resource list is intended as supplementary material to better inform and guide victims and survivors of technology-facilitated abuse as well as those working with them.
Violence Against Women Key Terminology: kNOwVAWdata’s explanation of commonly used terminology related to violence against women
kNOwVAWdata's explanation of commonly used terminology related to violence against women
Measuring the Prevalence of Violence Against Women Survey Methodologies – kNOwVAWdata Survey Methodologies
Surveys are the only way to collect data on the prevalence of violence against women (VAW) and thus to get an estimate of the magnitude of the problem in the population. There are two major approaches to collecting population-based data on violence against women using surveys; dedicated surveys or a set of questions/modules added to a large-scale survey.
UNFPA Asia Pacific kNOwVAWdata dashboard
Data visualizations and reports from the latest national violence against women prevalence surveys in the Asia-Pacific region; Resources on violence against women data measurement, analysis and uptake; kNOwVAWdata updates; Real-life stories of the brave and compassionate individuals involved in measuring vitally important, nationally representative data on violence against women.
Intersectionality and Invisible Victims: Reflections on Data Challenges and Vicarious Trauma in Femicide, Family and Intimate Partner Homicide Research
This article draws upon the experiences of four researchers in the field of femicide, family and intimate partner homicide - and offers insights into processes, impacts and unintended consequences of fatality reviews and research initiatives
Maternal Childhood Parental Abuse History and Current Intimate Partner Violence: Data From the Pacific Islands Families Study
The aim of the study was to establish the association between the experience of maternal and/or paternal emotional or physical abuse and current severe physical partner violence perpetration or victimization among a cohort of Pacific women.
Factors associated with induced abortion over time: secondary data analysis of five waves of the Australian Longitudinal Study on Women’s Health
Objective: A trend analysis of associations with induced abortion. Methods: Secondary analysis of the Australian Longitudinal Study of Women's Health (N=9042). Conclusions: Abortion remains strongly associated with factors affecting women's control over reproductive health such as partner violence and illicit drug use.
No Safe Place: A Lifetime of Violence for Conflict Affected Women and Girls in South Sudan (Policy Brief)
This brief highlights research aimed at filling substantial gaps in understanding of violence against women and girls (VAWG) in humanitarian settings, including whether or not there is a correlation between increased national conflict and VAWG.
Ending Violence Against Women
Summary of good practices provided in the programming to address Violence Against Women
A Practical Approach to Gender-Based Violence: A Programme Guide for Health Care Providers & Managers
Publication that is targeted primarily at health service providers, however is for anyone who wants to undertake a gender-based violence project in any part of the world