Castro Degrossi, L., Albuquerque, João Porto de, dos Santos Rocha, R. and Zipf, A. (2018) Data for A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information. [Dataset] (Unpublished)

	Plain Text (Decription of datasets) README.txt - Published Version Available under License Creative Commons Attribution 4.0. Download (1003b)
	Plain Text (The primary studies identified during the Systematic Literature Review (Comma Separated variables file)) primary_studies.csv - Published Version Available under License Creative Commons Attribution 4.0. Download (178Kb)
	Plain Text (Describes the protocol used in the Systematic Literature Review ) protocol.txt - Published Version Available under License Creative Commons Attribution 4.0. Download (2584b)

Request Changes to record.

Abstract

The growing use of Crowdsourced Geographic Information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non-experts. In this work, we propose a taxonomy of methods for assessing the quality of CGI when no reference data are available, which is likely to be the most common situation in practice. Our taxonomy includes 11 quality assessment methods that were identified by means of a systematic literature review. These methods are described in detail, including their main characteristics and limitations. This taxonomy not only provides a systematic and comprehensive account of the existing set of methods for CGI quality assessment, but also enables researchers working on the quality of CGI in various sources (e.g., social media, crowd sensing, collaborative mapping) to learn from each other, thus opening up avenues for future work that combines and extends existing methods into new application areas and domains.

Item Type:	Dataset
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) Q Science > QA Mathematics
Divisions:	Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Type of Data:	Systematic Literature Review
Library of Congress Subject Headings (LCSH):	Crowdsourcing, Geodatabases
Publisher:	University of Warwick, Centre for Interdisciplinary Methodologies
Official Date:	28 March 2018
Dates:	Date Event 28 March 2018 Published 27 February 2018 Available
Status:	Not Peer Reviewed
Publication Status:	Unpublished
Media of Output (format):	.csv .txt
Access rights to Published version:	Open Access (Creative Commons)
Copyright Holders:	University of Warwick
Description:	The dataset contains the protocol used in the Systematic Literature. The primary studies identified during the Systematic Literature Review.
Date of first compliant deposit:	28 March 2018
Date of first compliant Open Access:	28 March 2018
Related URLs:	Related item in WRAP
Contributors:	Contribution Name Contributor ID Depositor Albuquerque, João Porto de 1473765

Request changes or add full text files to a record

Repository staff actions (login required)

View Item

Downloads