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Solutions for Data Quality in GIS and VGI: A Systematic Literature Review

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New Knowledge in Information Systems and Technologies (WorldCIST'19 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 930))

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Abstract

In Geographic Information Systems (GIS), and more specifically in Volunteered Geographic Information (VGI), users can actively participate in the processes of inclusion, change and exclusion of data. Therefore, quality becomes a central issue in these types of application, with the objective of verifying the correctness and consistency of the information, for example. In this context, this paper provides a Systematic Literature Review (SLR) of the literature on data quality in GIS and VGI, in order to analyze several academic papers related to the topic, examining what quality dimensions are being analyzed and what types of solution are being proposed. In addition, this paper intends to make explicit what themes are recurrent in papers related to the area of data quality and what are the main challenges to be explored by the researchers. For the accomplishment of this work, a research protocol was implemented, which involved following the definition of a group of research questions, used for the subsequent selection and extraction of the data.

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Notes

  1. 1.

    https://wiki.openstreetmap.org/wiki/Stats [Accessed on November 15, 2018].

  2. 2.

    http://dl.acm.org/ [Accessed on August 15, 2018].

  3. 3.

    http://ieeexplore.ieee.org [Accessed on August 15, 2018].

  4. 4.

    https://www.scopus.com/ [Accessed on August 15, 2018].

  5. 5.

    http://lapes.dc.ufscar.br/tools/start_tool [Accessed on August 15, 2018].

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Author information

Authors and Affiliations

  1. Department of Computer Science (CIC), University of Brasilia (UnB), Brasilia, DF, Brazil

    Gabriel Medeiros & Maristela Holanda

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  1. Gabriel Medeiros
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  2. Maristela Holanda
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Correspondence to Gabriel Medeiros .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Faculdade de Engenharia/LIACC, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Medeiros, G., Holanda, M. (2019). Solutions for Data Quality in GIS and VGI: A Systematic Literature Review. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-16181-1_61

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