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Coding qualitative data on internal displacement

Internal Displacement Monitoring Centre / Norwegian Refugee Council

12 Feb 2020 This opportunity is no longer available Share
12 Feb 2020 This opportunity is no longer available Share
Task
Background and objectives
Requirements
We are seeking to recruit a team of volunteers to help us code qualitative data on internal displacement collected during interviews conducted around the world. Volunteers will be coding the interview notes using qualitative data analysis software, based on a list of codes provided that reflect the thematic priorities of our organisation. We will provide access to qualitative data analysis software, and share relevant training materials to help you get started. We will also hold a preliminary skype meeting to explain what is expected of the volunteers.
Research
Information technology and telecommunications
Last year, the Internal Displacement Monitoring Centre conducted over 2,000 survey interviews and 200 qualitative interviews in 15 countries. This included, for example, research on displacement due to drought in Niger, research on the economic impacts of internal displacement in Kenya, and research on the relationship between internal displacement and cross-border movements in Afghanistan. Although we collect data for specific research projects, the data is often relevant for other projects as well. For example, data we collected on the relationship between internal displacement and cross-border movement in Colombia also informed a report we wrote on gender in internal displacement. To ensure we can reuse the data collected for different projects, we are seeking to recruit a team of volunteers to help us code the qualitative data. This will make it easier for us to identify relevant quotes without having to read through all the interview notes. The majority of the data is in English, but we are also looking for French and Spanish speakers to help us code data collected in Niger, Colombia and Costa Rica.
Volunteers: 5 needed
6-10 hours per week / 4 weeks
Volunteers should be meticulous readers with strong attention to detail. They should have experience using qualitative data analysis software, or be willing to learn.
Global
English, French, Spanish

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