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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
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Official URL: https://doi.org/10.1111/tgis.12329
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 | |||||||||||||||||||||
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| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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| 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 | |||||||||||||||||||||
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| 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 | |||||||||||||||||||||
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