|Crisis context||Syrian refugee crisis|
|Project period||From May 2021 – May 2022 (ongoing)|
|Donors/partners||International Federation of Red Cross (IFRC)|
|Analysis framework used:||IFRC’s Analytical Framework|
|Turkey hosts more than 4 million refugees, many of whom are from Syria and fleeing a ten-year-long conflict. More than 1.5 million of the refugees qualify for the Emergency Social Safety Net (ESSN) program, led by the International Federation of Red Cross and Red Crescent Societies (IFRC) and the Turkish Red Crescent Society, which qualifies refugees for emergency cash assistance provided by the EU.
Project success requires an understanding of the refugees’ context, consistent sectoral and inter-sectoral country-level situation analysis, and near-constant data analysis. But data and information are generally scattered across different sources of information which existing data review tools are not capable of managing efficiently. This leads to data collection challenges across geographical areas, affected groups, or sub-sectors.
|By creating a comprehensive multi-year repository of structured and coded data (qualitative and quantitative) from identified sources in DEEP, DFS provides project partners access to all sectoral and inter-sectoral information. This allows them to evaluate unmet needs and analyze underlying factors categorized in an IFRC-designed analysis framework. |
The result is a comprehensive understanding of the needs of refugees allowing IFRC to develop systematic review of its programmes. DFS has provided a standard level of categorization and quality control for all captured information, in line with global standards and cluster taxonomies, in an effort to reduce the risk of miscategorization.
Project activities include assessing the depth and representativeness of available data, mapping the information landscape, and rating information gaps through an improved assessment registry to support decision making in terms of prioritizing and helping create targeted needs assessments.