Fieldwork on right to repair

This dataset contains the primary data collected for our Right to Repair (R2R) research project (25 interview transcripts as .docx files) as well as a sample of the codebook used for analysis (one file in .XLS format). It is aproximately 520Kb in size. Fieldwork spanned from September 2021 to November 2023. The dataset consists of 25 semi-structured interview transcripts categorized as follows: 15 with repair activists and campaigners, 5 with technicians affiliated with manufacturers, 2 with industry representatives, and 3 with civil servants involved in R2R legislation. All participants were recruited using the research team’s professional and personal networks, enhanced by snowball sampling that drew on the networks of the interviewees. All participants have been de-identified using pseudonyms. However, due to the nature of the interviews, full anonymisation was not possible, as some contextual information could still make re-identification theoretically feasible. Consent forms and any identifying keys are stored securely and separately from the dataset, in line with GDPR requirements. The dataset was analysed and coded using an abductive and interpretive approach, combining theoretical concepts with themes emerging directly from the interviews. Coding and constant comparison were carried out iteratively throughout the project, supported by NVivo software. Data analysis was informed by a non-systematic reading of secondary materials (such as websites, news articles, and media coverage), which are not included in this repository. All participants provided informed consent, and the study was approved by the Universidade de Vigo Ethics Committee.本数据集为本「维修权（Right to Repair, R2R）」科研项目采集的核心原始数据，包含25份docx格式访谈转录文本，以及一份用于分析的编码手册样本（XLS格式文件），总容量约520KB。实地调研工作周期为2021年9月至2023年11月。本数据集共包含25份半结构化访谈转录文本，按受访对象类别划分为四组：15位维修活动人士与维权倡导者、5位隶属于制造商的技术人员、2位行业代表，以及3位参与维修权立法工作的公务员。所有受访对象均通过研究团队的专业与私人人脉网络招募，并借助滚雪球抽样法依托受访对象自身人脉拓展招募范围。所有受访对象均已使用化名完成身份去标识化处理。但鉴于访谈内容的特殊性，无法实现完全匿名，部分背景信息仍存在理论上的身份回溯风险。知情同意书与所有身份标识密钥均已按照通用数据保护条例（General Data Protection Regulation, GDPR）要求，安全存储于数据集之外的独立位置。本数据集采用溯因与解释性研究方法开展分析与编码工作，将理论概念与访谈中直接浮现的主题相结合。整个研究过程中，借助NVivo软件支持，反复开展编码与持续比较分析。数据分析参考了对二手资料（如相关网站、新闻报道与媒体评论）的非系统性研读内容，但该类二手资料未纳入本数据集仓库。所有受访对象均已签署知情同意书，本研究已通过维戈大学（Universidade de Vigo）伦理委员会审查批准。