Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Data Repair

ATM Mizanur Rahman, Syed Ishtiaque Ahmed, Sharifa Sultana

TL;DR

This study foregrounds data repair as a socio‑technical practice central to digital life in resource‑constrained settings. Through six months of ethnography in Dhaka, it maps a two‑tier ecosystem of low‑fidelity shops and high‑fidelity labs, revealing how informal learning, pirated tools, and postcolonial power dynamics shape repair work. It shows that data repair is sustained by emotional valuation of data, selective knowledge sharing, and market strategies, while also exposing ethical tensions around privacy and AI assistance. The work contributes to HCI by linking repair to data equity, postcolonial computing, and community stewardship, and it argues for design and policy interventions that preserve legacy knowledge, promote openness, and counter extractivist practices.

Abstract

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.

Data Repair

TL;DR

This study foregrounds data repair as a socio‑technical practice central to digital life in resource‑constrained settings. Through six months of ethnography in Dhaka, it maps a two‑tier ecosystem of low‑fidelity shops and high‑fidelity labs, revealing how informal learning, pirated tools, and postcolonial power dynamics shape repair work. It shows that data repair is sustained by emotional valuation of data, selective knowledge sharing, and market strategies, while also exposing ethical tensions around privacy and AI assistance. The work contributes to HCI by linking repair to data equity, postcolonial computing, and community stewardship, and it argues for design and policy interventions that preserve legacy knowledge, promote openness, and counter extractivist practices.

Abstract

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.
Paper Structure (43 sections, 3 figures, 1 table)

This paper contains 43 sections, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. Literature Review
  3. HCI and Repair
  4. Informality, Learning, and Communities of Practice
  5. Privacy, Ethics, and Postcolonial Computing
  6. Repair, Values, and Sustainability
  7. Method
  8. Participant Recruitment
  9. Observation
  10. Semi-structured Interviews
  11. Data Collection and Analysis
  12. Ethical Concerns and Positionality
  13. Data Repair Ecosystem in Dhaka
  14. Data Repair Venues
  15. Data Repair People
  16. ...and 28 more sections

Figures (3)

  • Figure 1: (a) One of the high-fidelity repair outlets among a cluster of small computer shops inside the Dhaka Multiplan Center. It has a small yellow Bengali signboard reading "Servicing and Data Recovery." Customers often discover such shops by chance while browsing and approach them for data recovery needs. In this scene, a mediator in a blue shirt is negotiating with customers outside the shop and receiving their devices for recovery. (b) A narrow alley leading to an apartment building where actual data recovery work takes place. On the third floor, a data repair expert rents a flat to perform recovery tasks, located a short distance away from the main markets. (c) A small, crowded apartment-based lab where a lab expert and his team handle devices and tools related to data repair. (d) The entrance of another lab where data recovery takes place, with shoes left outside as they are not allowed inside.
  • Figure 2: Workstation of a typical low-fidelity neighborhood repair shop. The repairer was sitting before a computer screen, the wall behind the screen hung his shop's advertisement flyers with his contact information, describing the services he offers, including retrieving damaged photos. The photo was taken when the repairer was retrieving a passport photo from a damaged paper copy. The damaged photo is of the customer's mother, who has passed away, but the customer still needed it for paperwork.
  • Figure 3: (a) Inside a data recovery lab, shelves are filled with hundreds of labeled hard drives that serve as donor parts for recovered data. On the workbench, multiple patient drives are connected to a recovery workstation with adapters, power leads, tools, and a USB microscope. On the left, two computers are running: the top screen is used for diagnostics and cloning, while the bottom screen displays recovered files for verification and transfer. (b) The expert is testing the current flow on the opened hard drive's connection points with a test lamp. The glowing red light shows that the circuit has continuity, helping him identify the faults.