Data in the First Mile
Summary: Analyzes “first mile” data challenges in low-resource communities—limited infrastructure, oral traditions, scarce expertise, and misaligned incentives that break conventional top‑down data-management assumptions. Proposes decoupling capture from structuring, intelligent automation, and cloud-hosted services, demonstrated by Usher (auto data-entry quality) and Shreddr (hosted paper-form digitization) to enable pragmatic, scalable pipelines. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Kuang Chen (University of California Berkeley)
- 2. Joseph M. Hellerstein (University of California Berkeley)
- 3. Tapan S. Parikh (University of California Berkeley)
BibTeX Citation
@inproceedings{chen_cidr11,
address = {Amsterdam, Netherlands},
series = {{CIDR} '11},
title = {{Data in the First Mile}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Chen, Kuang and Hellerstein, Joseph M. and Parikh, Tapan S.},
year = {2011}
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