English

Reprowd: Crowdsourced Data Processing Made Reproducible

Databases 2016-09-06 v1

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/.

Keywords

Cite

@article{arxiv.1609.00791,
  title  = {Reprowd: Crowdsourced Data Processing Made Reproducible},
  author = {Ruochen Jiang and Jiannan Wang},
  journal= {arXiv preprint arXiv:1609.00791},
  year   = {2016}
}

Comments

HCOMP 2016 Work in Progress

R2 v1 2026-06-22T15:39:09.596Z