Mapping and evaluating gender and diversity-sensitive data collection approaches in the mine action sector
objectives.
To map and analyse current data collection, storage, sharing, and reporting practices in the Explosive Ordnance Risk Reduction sector, focusing on gender and diversity sensitivity and intersectionality.
To assess the feasibility and effectiveness of these approaches in the Explosive Ordnance Risk Reduction sector, including their alignment with the Do No Harm principle.
To provide recommendations for improving gender, diversity, and intersectionality considerations in data management within the Explosive Ordnance Risk Reduction sector.
✓ Conflict sensitivity was crucial to this research, emphasising humanitarian and development assistance delivery while considering the broader operational context. This involved minimising any unintended negative impact and capitalising on locally-led solutions to maximise the positive outcomes of interventions.
methodology.
The research was conducted globally, with specific case studies in Cambodia, Colombia, and Iraq. The methodology comprised desk reviews, context analyses, key informant interviews, focus group discussions, and peer-learning sessions with diverse stakeholder groups, including governments and national and international Mine Action actors.
outputs.
Comprehensive Map
A thorough map of current gender and diversity-sensitive data collection, storage, sharing, and reporting practices in the Explosive Ordnance Risk Reduction sector.
Evaluation Report
An assessment of the feasibility and effectiveness of these approaches, including an evaluation of their adherence to the Do No Harm principle and intersectionality considerations.
Recommendation Report
A set of recommendations on integrating context sensitivity into the Explosive Ordnance Risk Reduction sector's data management processes focusing on gender, diversity, equality, and inclusion.
impact.
The project contributed to the EORR sector's understanding of enhancing inclusivity and context sensitivity in data collection, storage, and sharing practices. This ultimately supported the development of more effective and equitable humanitarian interventions.
