Work always in progress: analysing maintenance practices in spatial crowd-sourced datasets

Quattrone, Giovanni ORCID:, Dittus, Marin and Capra, Licia (2017) Work always in progress: analysing maintenance practices in spatial crowd-sourced datasets. Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. In: CSCW 2017, 25 Feb - 01 Mar 2017, Portland, Oregon, United States. ISBN 9781450343350. [Conference or Workshop Item] (doi:10.1145/2998181.2998267)

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Crowd-mapping is a form of collaborative work that empowers users to share geographic knowledge. Despite geographic information being intrinsically evolving, little research has so far gone into analysing maintenance practices in these domains. In this paper, we quantitatively capture maintenance dynamics in geographic crowd-sourced datasets, in terms of: the extent to which different maintenance actions are taking place, the type of spatial information that is being maintained, who engages in these practices and where. We apply this method to 117 countries in OpenStreetMap, one of the most successful examples of geographic crowd-sourced datasets. Furthermore, we explore what triggers maintenance, by means of an online survey to which 96 OpenStreetMap contributors took part. Our findings reveal that, although maintenance practices vary substantially from country to country in terms of how widespread they are, strong commonalities exist in terms of what metadata is being maintained, by whom, and what triggers them.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 31806
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Depositing User: Giovanni Quattrone
Date Deposited: 12 Jan 2021 10:17
Last Modified: 12 Jan 2021 10:17

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