Analysis of themes generated for the development of a co-production model for human settlements in South Africa

The data contained here in comprises atlas.ti data as well as the combined report and tables which indicate how the themes were generated.Data was collected through interviews. All 24 interviews were conducted online, via Microsoft Teams. The recordings of the interviews were sent to a professional transcription service provider and where the sound was not clear, the researcher was able to fill in the gaps due to familiarity with the subject matter. The transcriptions were given a unique identifier once loaded on ATLAS.ti. The unique identifiers are NGO 1-12 and MinTech 1-9.The results were obtained from inductive thematic analysis. The qualitative analysis utilised by the researcher entailed a six-phase thematic analytical process, which includes familiarising yourself with the data, generating initial codes, searching for themes, reviewing the themes, defining and naming the themes, and producing the report.本数据集包含阿特拉斯质性分析软件（ATLAS.ti）数据，以及用于说明主题生成逻辑的整合报告与表格。本研究的数据均通过访谈采集，全部24场访谈均以线上形式开展，依托Microsoft Teams完成。访谈录音被发送至专业转录服务机构；当录音音质不佳、存在听辨盲区时，研究者因熟悉研究主题，可自行补全缺失内容。转录文本上传至ATLAS.ti后，均被赋予唯一标识符，标识符格式为NGO 1-12与MinTech 1-9。本研究结果源自归纳式主题分析。研究者采用的质性分析流程包含六个阶段的主题分析步骤，依次为：熟悉数据、生成初始编码、搜寻主题、审查主题、界定并命名主题，以及撰写研究报告。