Dataset_In-exclusion in urban food governance.zip

The data collection consists of three stages.1) In the first stage, three expert interviews were conducted with (ex-)government officials to understand the timeline leading up to the development of the urban food strategy in 2020 (interviews I01, I02 and I03). The interview guide for these interviews is included in the ZIP file.2) In stage 2, a social network analysis was conducted through a network survey (survey included in the ZIP file). Participants were asked to list up to five parties that were directly important to their organisation in the field of food, which were subsequently assessed in terms of frequency of contact, dependency and type of exchange. A total of 26 people completed the network survey, representing a total of 17 different organizations. Rather than sticking to one entry per organization, all separate entries were included into the network analysis. A matrix was created mapping all the ties coming out of the survey (included in the ZIP file). This matrix was fed into UCINET, a network software program, to create the network analysis. In addition, the data was analysed in Excel (included in the ZIP file).3) During stage 3, twelve additional semi-structured interviews were conducted (I04-I015). All interviews were transcribed in their native language (Dutch).

本数据集采集工作分为三个阶段：1）第一阶段，研究团队对3名（前）政府官员开展专家访谈，以厘清2020年城市食品战略制定前的完整时间线（访谈编号为I01、I02及I03），本次访谈的访谈提纲已收录于ZIP压缩包中。2）第二阶段，通过网络调查开展社会网络分析（调查问卷见ZIP压缩包）。研究要求受访者列出其所在组织在食品领域内直接关联的、具有重要性的至多5个合作方，随后从接触频次、依赖程度与交换类型三个维度对上述合作方进行评估。本次网络调查共回收26份有效问卷，覆盖17家不同的组织。本研究未限定每个组织仅对应一条填报条目，因此所有独立提交的记录均纳入网络分析范畴。研究人员基于调查结果构建了关联关系矩阵（相关矩阵文件见ZIP压缩包），并将该矩阵导入网络分析软件UCINET以完成社会网络分析；此外，研究人员还使用Excel对数据进行了分析，相关分析文件已收录于ZIP压缩包中。3）第三阶段，研究团队额外开展了12场半结构化访谈（访谈编号为I04至I015），所有访谈均以原始语言荷兰语完成转录。