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Enhancing the quality of open data

Enhancing the quality of open data
Enhancing the quality of open data
This paper looks at some of the quality issues relating to open data. This is problematic because of an open-data specific paradox: most metrics of quality are user-relative, but open data are aimed at no specific user and are simply available online under an open licence, so there is no user to be relevant to. Nevertheless, it is argued that opening data to scrutiny can improve quality by building feedback into the data production process, although much depends on the context of publication. The paper discusses various heuristics for addressing quality, and also looks at institutional approaches. Furthermore, if the open data can be published in linkable or bookmarkable form using Semantic Web technologies, that will provide further mechanisms to improve quality
data, data quality, crime data, visualisation, linked data, open data
978-3-319-07120-6
358
201-215
Springer
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Floridi, Luciano
Illari, Phyllis
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Floridi, Luciano
Illari, Phyllis

O'Hara, Kieron (2014) Enhancing the quality of open data. In, Floridi, Luciano and Illari, Phyllis (eds.) The Philosophy of Information Quality. (Synthese Library, 358) Cham, CH. Springer, pp. 201-215.

Record type: Book Section

Abstract

This paper looks at some of the quality issues relating to open data. This is problematic because of an open-data specific paradox: most metrics of quality are user-relative, but open data are aimed at no specific user and are simply available online under an open licence, so there is no user to be relevant to. Nevertheless, it is argued that opening data to scrutiny can improve quality by building feedback into the data production process, although much depends on the context of publication. The paper discusses various heuristics for addressing quality, and also looks at institutional approaches. Furthermore, if the open data can be published in linkable or bookmarkable form using Semantic Web technologies, that will provide further mechanisms to improve quality

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More information

Published date: 15 July 2014
Keywords: data, data quality, crime data, visualisation, linked data, open data
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 369624
URI: https://eprints.soton.ac.uk/id/eprint/369624
ISBN: 978-3-319-07120-6
PURE UUID: 0e968afc-808f-45d4-a4c8-b3093be8558b
ORCID for Kieron O'Hara: ORCID iD orcid.org/0000-0002-9051-4456

Catalogue record

Date deposited: 17 Oct 2014 09:10
Last modified: 06 Jun 2018 12:50

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Contributors

Author: Kieron O'Hara ORCID iD
Editor: Luciano Floridi
Editor: Phyllis Illari

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