A Package for the Management of Data Quality in Geographic Information Systems

1996 ◽  
pp. 77-86
Author(s):  
G. Pillirone ◽  
D. Visintini
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Data Quality ◽  
Geographic Information

scholarly journals QualiOSM: An Architecture to Improve Data Completeness on OpenStreetMap

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Gabriel F. B. de Medeiros ◽  
Lívia C. Degrossi ◽  
Maristela Holanda
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Data Quality ◽  
Spatial Database ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Technical Knowledge ◽  
Urban Centers ◽  
Data Completeness

  OpenStreetMap (OSM) is a large spatial database in which geographic information is voluntarily contributed by thousands of users. In Geographic Information Systems (GIS), and more specifically, in Volunteered Geographic Information (VGI), as in the case of OSM, the issue of data completeness is a constant concern, since users without technical knowledge actively participate in the processes of including, editing and excluding data. Also in thecase of OSM, users can add information to the objects assigning special labels for them. These labels are popularly called tags, and the process of assigning them to objects contributes to improving the attribute completeness, an important metric of data quality. In this context, this article proposes the QualiOSM architecture, which generates an automatic tag adder with the purpose of improving the completeness of address information for OSM objects in Brazil, using the reverse geocoding tools Nominatim, CEP Aberto and the database from Correios. The QualiOSM architecture showed good results for improving the completeness of city, neighborhood and street information in OSM objects, especially in scenarios of large urban centers, where the level of mapping is usually better compared to scenarios in rural or peripheral environments.

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