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
201-215
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
15 July 2014
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
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, .
(doi:10.1007/978-3-319-07121-3_11).
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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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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: http://eprints.soton.ac.uk/id/eprint/369624
ISBN: 978-3-319-07120-6
PURE UUID: 0e968afc-808f-45d4-a4c8-b3093be8558b
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Date deposited: 17 Oct 2014 09:10
Last modified: 15 Mar 2024 03:09
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Contributors
Editor:
Luciano Floridi
Editor:
Phyllis Illari
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