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Two procedures for analyzing the reliability of open government data

Two procedures for analyzing the reliability of open government data
Two procedures for analyzing the reliability of open government data
Open Government Data often contain information that, in more or less detail, regard private citizens. For this reason, before publishing them, public authorities manipulate data to remove any sensitive information while trying to preserve their reliability. This paper addresses the lack of tools aimed at measuring the reliability of these data. We present two procedures for the assessment of the Open Government Data reliability, one based on a comparison between open and closed data, and the other based on analysis of open data only. We evaluate the procedures over data from the data.police.uk website and from the Hampshire Police Constabulary in the United Kingdom. The procedures effectively allow estimating the reliability of open data and, actually, their reliability is high even though they are aggregated and smoothed
open data, reliability, evaluation
Ceolin, Davide
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Moreau, Luc
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O'Hara, Kieron
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Fokkink, Wan
f275d6aa-d270-49dd-817b-fa2f328ff1f0
Van Hage, Willem Robert
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Maccatrozzo, Valentina
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Sackley, Alistair
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Schreiber, Guus
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Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Ceolin, Davide
51d8eaac-ba0e-4c31-92f3-f42ae2608409
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Fokkink, Wan
f275d6aa-d270-49dd-817b-fa2f328ff1f0
Van Hage, Willem Robert
f88e7a62-d797-4330-85bb-2a51476c52b4
Maccatrozzo, Valentina
6e9fcbe2-5579-4cbf-8b61-837e76c77f2c
Sackley, Alistair
8389f257-bb5a-4d95-b106-fac54ce11b7f
Schreiber, Guus
9e32bb8d-73d6-4811-9878-788c24152cfd
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Ceolin, Davide, Moreau, Luc, O'Hara, Kieron, Fokkink, Wan, Van Hage, Willem Robert, Maccatrozzo, Valentina, Sackley, Alistair, Schreiber, Guus and Shadbolt, Nigel (2014) Two procedures for analyzing the reliability of open government data. 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'2014), Montpellier, France. 15 Jul 2014. 10 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Open Government Data often contain information that, in more or less detail, regard private citizens. For this reason, before publishing them, public authorities manipulate data to remove any sensitive information while trying to preserve their reliability. This paper addresses the lack of tools aimed at measuring the reliability of these data. We present two procedures for the assessment of the Open Government Data reliability, one based on a comparison between open and closed data, and the other based on analysis of open data only. We evaluate the procedures over data from the data.police.uk website and from the Hampshire Police Constabulary in the United Kingdom. The procedures effectively allow estimating the reliability of open data and, actually, their reliability is high even though they are aggregated and smoothed

Text
ceolin ipmu paper.pdf - Accepted Manuscript
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More information

Published date: July 2014
Venue - Dates: 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'2014), Montpellier, France, 2014-07-15 - 2014-07-15
Keywords: open data, reliability, evaluation
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 365303
URI: http://eprints.soton.ac.uk/id/eprint/365303
PURE UUID: 4ed00fe3-9376-48ac-8524-e6cb59c1bee6
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X
ORCID for Kieron O'Hara: ORCID iD orcid.org/0000-0002-9051-4456

Catalogue record

Date deposited: 30 May 2014 10:44
Last modified: 15 Mar 2024 03:09

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Contributors

Author: Davide Ceolin
Author: Luc Moreau ORCID iD
Author: Kieron O'Hara ORCID iD
Author: Wan Fokkink
Author: Willem Robert Van Hage
Author: Valentina Maccatrozzo
Author: Alistair Sackley
Author: Guus Schreiber
Author: Nigel Shadbolt

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