This decision tree guides data collectors through the various considerations, viable options, and alternative data sources for obtaining information without jeopardizing participants’ safety or the data’s integrity. In doing so, it aims to identify data sources and methodologies that are useful for strengthening services and referral pathways for women experiencing violence during COVID-19.
A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools - ScienceDirect
Annex D: Evidence of effectiveness decision tree - Preventing violence against women and girls - what works: evidence summary
COVID-19 Disorder Tracker - ACLED
UNFPA Asiapacific Decision tree: Data Collection on Violence
Global education monitoring report 2022, South Asia: non-state
Violence against women and girls data collection during COVID-19, Digital library: Publications
Research on violence against children during the COVID-19 pandemic: Guidance to inform ethical data collection and evidence generation - UNICEF DATA
Mental Health, Substance Use, and Suicidal Ideation During the
IJERPH, Free Full-Text
COVID-19 Global Gender Response Tracker
The Plague
We Can't Fight Climate Change Without Fighting for Gender Equity
DATA in the time of COVID-19 – Open Data Watch
