A grounding-based ontology of data quality measures

F.-B. Mocnik, Amin Mobasheri, Luisa Griesbaum, Melanie Eckle, Clemens Jacobs, Carolin Klonner

Research output: Contribution to journalArticleAcademicpeer-review

1 Downloads (Pure)

Abstract

Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for purpose is, however, lacking. This article introduces an ontology of data quality measures by their grounding, that is, the source of information to which the data is compared to in order to assess their quality. The ontology is exemplified with several examples of volunteered geographic information (VGI), while also applying to other geographical data and data in general. An evaluation of the ontology in the context of data quality measures for OpenStreetMap (OSM) data, a well-known example of VGI, provides insights about which types of quality measures for OSM data have and which have not yet been considered in literature.
Original languageEnglish
Pages (from-to)1-25
Number of pages25
JournalJournal of Spatial Information Science
Issue number16
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • data quality
  • fitness for purpose
  • data quality measure
  • grounding
  • ontology
  • geographical data
  • OpenStreetMap
  • osm
  • volunteered geographic information
  • vgi
  • ITC-GOLD

Cite this

Mocnik, F.-B. ; Mobasheri, Amin ; Griesbaum, Luisa ; Eckle, Melanie ; Jacobs, Clemens ; Klonner, Carolin. / A grounding-based ontology of data quality measures. In: Journal of Spatial Information Science. 2018 ; No. 16. pp. 1-25.
@article{504e1d07bcbb4cf4ad8d1a4ee7f1d8e5,
title = "A grounding-based ontology of data quality measures",
abstract = "Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for purpose is, however, lacking. This article introduces an ontology of data quality measures by their grounding, that is, the source of information to which the data is compared to in order to assess their quality. The ontology is exemplified with several examples of volunteered geographic information (VGI), while also applying to other geographical data and data in general. An evaluation of the ontology in the context of data quality measures for OpenStreetMap (OSM) data, a well-known example of VGI, provides insights about which types of quality measures for OSM data have and which have not yet been considered in literature.",
keywords = "data quality, fitness for purpose, data quality measure, grounding, ontology, geographical data, OpenStreetMap, osm, volunteered geographic information, vgi, ITC-GOLD",
author = "F.-B. Mocnik and Amin Mobasheri and Luisa Griesbaum and Melanie Eckle and Clemens Jacobs and Carolin Klonner",
year = "2018",
doi = "10.5311/JOSIS.2018.16.360",
language = "English",
pages = "1--25",
journal = "Journal of Spatial Information Science",
issn = "1948-660X",
publisher = "The National Center for Geographic Information and Analysis (NCGIA)",
number = "16",

}

A grounding-based ontology of data quality measures. / Mocnik, F.-B.; Mobasheri, Amin; Griesbaum, Luisa; Eckle, Melanie; Jacobs, Clemens; Klonner, Carolin.

In: Journal of Spatial Information Science, No. 16, 2018, p. 1-25.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - A grounding-based ontology of data quality measures

AU - Mocnik, F.-B.

AU - Mobasheri, Amin

AU - Griesbaum, Luisa

AU - Eckle, Melanie

AU - Jacobs, Clemens

AU - Klonner, Carolin

PY - 2018

Y1 - 2018

N2 - Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for purpose is, however, lacking. This article introduces an ontology of data quality measures by their grounding, that is, the source of information to which the data is compared to in order to assess their quality. The ontology is exemplified with several examples of volunteered geographic information (VGI), while also applying to other geographical data and data in general. An evaluation of the ontology in the context of data quality measures for OpenStreetMap (OSM) data, a well-known example of VGI, provides insights about which types of quality measures for OSM data have and which have not yet been considered in literature.

AB - Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for purpose is, however, lacking. This article introduces an ontology of data quality measures by their grounding, that is, the source of information to which the data is compared to in order to assess their quality. The ontology is exemplified with several examples of volunteered geographic information (VGI), while also applying to other geographical data and data in general. An evaluation of the ontology in the context of data quality measures for OpenStreetMap (OSM) data, a well-known example of VGI, provides insights about which types of quality measures for OSM data have and which have not yet been considered in literature.

KW - data quality

KW - fitness for purpose

KW - data quality measure

KW - grounding

KW - ontology

KW - geographical data

KW - OpenStreetMap

KW - osm

KW - volunteered geographic information

KW - vgi

KW - ITC-GOLD

UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2018/ref/mocnik_gro.pdf

U2 - 10.5311/JOSIS.2018.16.360

DO - 10.5311/JOSIS.2018.16.360

M3 - Article

SP - 1

EP - 25

JO - Journal of Spatial Information Science

JF - Journal of Spatial Information Science

SN - 1948-660X

IS - 16

ER -