Reprowd: Crowdsourced Data Processing Made Reproducible

September 03, 2016 · Entered Twilight · 🏛 Conference on Innovative Data Systems Research

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Repo contents: .gitignore, LICENSE, README.md, docs, reprowd, requirements_dev.txt, setup.py, tests

Authors Ruochen Jiang, Jiannan Wang arXiv ID 1609.00791 Category cs.DB: Databases Citations 2 Venue Conference on Innovative Data Systems Research Repository https://github.com/sfu-db/reprowd ⭐ 23 Last Checked 1 month ago

Abstract

Crowdsourcing is a multidisciplinary research area including disciplines like artificial intelligence, human-computer interaction, database, and social science. To facilitate cooperation across disciplines, reproducibility is a crucial factor, but unfortunately, it has not gotten enough attention in the HCOMP community. In this paper, we present Reprowd, a system aiming to make it easy to reproduce crowdsourced data processing research. We have open sourced Reprowd at http://sfu-db.github.io/reprowd/.