This paper investigates data repair practices through a six-month-long ethnographic study in Bangladesh. Our interviews and field observations with data repairers and related stakeholders found that, alongside the scarcity of high-precision machinery and access to advanced software, data repair work is constrained by cross-language learning resources and the protective nature of documenting, curating, and sharing the experiences and knowledge among local peers. Repairers turning to external resources such as foreign forums and LLMs also revealed their frustrating experiences and the postcolonial ethical tensions they encountered. We noted that both anticipated technical labor and the emotionality of data were taken into account for pricing the data repair job, which contributed to their market sustainability strategies. Engaging with repair, infrastructure, and data poverty discourse, we argue that data repair practices represent a crucial challenge and opportunity for HCI in advancing global efforts toward data equity.

翻译：本文通过一项为期六月的孟加拉国民族志研究，探讨了数据修复实践。我们通过对数据修复人员及相关利益方的访谈和实地观察发现，除了高精度机械的稀缺和先进软件的获取困难之外，数据修复工作还受到跨语言学习资源以及本地同行间记录、整理和分享经验与知识时所表现出的保护性态度的制约。修复人员转向外部资源（如外国论坛和LLMs）的经历也揭示了他们的挫败感以及所遭遇的后殖民伦理张力。我们注意到，数据修复工作的定价既考虑了预期的技术劳动，也考量了数据的情感属性，这构成了其市场可持续性策略的一部分。结合修复、基础设施和数据贫困的论述，我们认为数据修复实践对HCI领域提出了关键挑战，同时也为推进全球数据公平的努力提供了重要机遇。