果冻传媒

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DLiD+ Best Practices

This repository compiles the ideas for best practices shared by practitioners and collaborators after engaging with our tool

Working in South Sudan

(Anonymous)

The approach we took would vary depending on whether it was a rapid assessment or longer-term data collection. Where possible, we would liaise with community elders and create a small workshop with local communities to explain what was being done with the data. For data collection in harder to reach areas this was a bit of a battle, and there were also difficulties between making ourselves as clear as possible and providing context whilst taking sensitive data. We found that taking quantitative data and sharing this with the community was much more difficult to explain or to share the findings and narrative coming out of data collection. We would try and have the community gather as a whole to explain what we were doing and when we would be leaving, explaining what the data was going to be done with the data. But it was much more difficult to go back to the community after data collection had finished. It proved difficult to translate the data into something palpable for communities and was easier to do this for other NGOs or donors who understood the usual reporting style for findings. The suggestion from the DLiD+ tool on consulting affected communities about the format and style of feedback offer helpful ideas here.

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