Abstract
Crowdsourcing refers to solving large problems by involving human workers that solve component sub-problems or tasks. In data crowdsourcing, the problem involves data acquisition, management, and analysis. In this paper, we provide an overview of data crowdsourcing, giving examples of problems that the authors have tackled, and presenting the key design steps involved in implementing a crowdsourced solution. We also discuss some of the open challenges that remain to be solved.
| Original language | English (US) |
|---|---|
| Article number | 7384520 |
| Pages (from-to) | 901-911 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Knowledge and Data Engineering |
| Volume | 28 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 1 2016 |
Keywords
- Data crowdsourcing
- crowdsourcing design
- crowdsourcing space
- crowdsourcing workflow
- data augmenting
- data curation
- data processing
- worker management
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Computational Theory and Mathematics