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A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information

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Castro Degrossi, L., Porto de Albuquerque, João , dos Santos Rocha, R. and Zipf, A. (2018) A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information. Transactions in GIS, 22 (2). pp. 542-560. doi:10.1111/tgis.12329 ISSN 1361-1682.

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Official URL: https://doi.org/10.1111/tgis.12329

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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: Journal Article
Alternative Title:
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Library of Congress Subject Headings (LCSH): Crowdsourcing, Geodatabases
Journal or Publication Title: Transactions in GIS
Publisher: Wiley-Blackwell Publishing Ltd.
ISSN: 1361-1682
Official Date: 19 April 2018
Dates:
DateEvent
19 April 2018Available
4 February 2018Accepted
Volume: 22
Number: 2
Page Range: pp. 542-560
DOI: 10.1111/tgis.12329
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 6 March 2018
Date of first compliant Open Access: 9 May 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
317382H2020 Marie Skłodowska-Curie Actionshttp://dx.doi.org/10.13039/100010665
88887.091744/2014-01Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorhttp://dx.doi.org/10.13039/501100002322
201626/2015-2ConselNacional de Desenvolvimento Científico e Tecnológicohttp://dx.doi.org/10.13039/501100003593
UNSPECIFIEDUniversidade federal da Bahiahttp://viaf.org/viaf/139904002
UNSPECIFIEDUniversität Heidelberghttp://dx.doi.org/10.13039/501100001661
UNSPECIFIED[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
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