Data Repair

Paper Title

Data Repair

Publication Info

• Topic area: Ethnographic study of data repair practices in Dhaka, Bangladesh, with implications for HCI, postcolonial computing, and data equity.
• Keywords: Data repair, HCI, postcolonial computing, data poverty, repair ecosystems, knowledge curation, Global South, informal markets, sustainability, ethics.

Background and Problem

• Problem / challenge: Data repair practices, especially in the Global South, are underexplored. Existing HCI research focuses on hardware maintenance, neglecting the socio-technical challenges of data repair. This gap reinforces structural inequalities and risks creating data voids and culturally non-resonant AI systems.
• Significance: Understanding data repair practices is critical for designing equitable tools and technologies that reflect the needs and values of marginalized communities, preventing data poverty and biased technological systems.
• Motivation and related work: Prior research has examined hardware repair, informal economies, and privacy in repair contexts, but data repair remains largely undocumented. This study addresses the knowledge gap by investigating the data repair ecosystem in Dhaka, Bangladesh, focusing on its socio-technical and ethical dimensions.

Solution

• Proposed approach: Ethnographic study of data repair practices in Dhaka, including interviews, field observations, and thematic analysis of repairers’ strategies, tools, and challenges.
• Novelty:
  1. Detailed ethnographic account of data repair practices in Dhaka, Bangladesh.
  2. Mapping of knowledge production, propagation, and restriction within local repair networks.
  3. Analysis of how Global South societies manage and restore data under resource constraints.
  4. Discussion of data repair as a critical challenge for global data equity efforts.
• Procedure and key techniques:
  • Six-month ethnography in Dhaka, covering 11 neighborhood repair shops and 10 high-fidelity repair labs.
  • Semi-structured interviews with 28 participants (repairers, mediators, lab experts).
  • Observations of repair processes, tools, and customer interactions.
  • Thematic analysis of fieldnotes, interviews, and images to identify repair strategies and challenges.

Results

• Concrete findings:
  • Common repair tasks include recovering lost files, restoring damaged photos/documents, and unlocking accounts.
  • Challenges include compatibility issues with locally manufactured phones, outdated devices, and proprietary formats.
  • Repairers rely on pirated tools, community knowledge, and informal networks for solutions.
  • Emotional valuation of data influences pricing strategies, with repairers adjusting fees based on customers’ financial and emotional contexts.
  • Knowledge is deliberately restricted to protect market sustainability and prevent unskilled competition.
• Advantage over baselines:
  • Highlights undocumented socio-technical practices and ethical tensions in data repair, offering insights beyond existing HCI literature focused on hardware repair.
  • Identifies postcolonial inequities in global data repair ecosystems and proposes design and policy interventions for equitable access.
• Experiments / evaluation:
  • Fieldwork included 50 hours of observation, 28 interviews, and analysis of 150 pages of fieldnotes and 18 hours of audio recordings.
  • Participants were repairers, mediators, and lab experts aged 19–45, with varying educational and technical backgrounds.
  • Data collection focused on repair processes, tools, pricing, and community dynamics.
• Limitations and future work:
  • Limited to Dhaka; findings may not generalize to other regions.
  • Did not access repaired data content to protect privacy.
  • Future work should include cross-regional studies, design interventions, and co-design with repair communities.

Summary

This paper presents an ethnographic study of data repair practices in Dhaka, Bangladesh, highlighting the socio-technical and ethical challenges faced by repairers in resource-constrained settings. Key findings include the reliance on pirated tools, restricted knowledge sharing, and pricing strategies based on emotional data valuation. The study identifies postcolonial inequities and proposes design and policy interventions to support equitable access, preserve legacy knowledge, and empower marginalized communities. By documenting these practices, the paper contributes to HCI theory and calls for infrastructures that promote data equity and sustainability in the Global South.