Two procedures for analyzing the reliability of open government data

D. Ceolin; L. Moreau; K. O'Hara; W. Fokkink; W.R. van Hage; V. Maccatrozzo; A. Sackley; G. Schreiber; N. Shadbolt

doi:10.1007/978-3-319-08795-5_3

Two procedures for analyzing the reliability of open government data

D. Ceolin, L. Moreau, K. O'Hara, W. Fokkink, W.R. van Hage, V. Maccatrozzo, A. Sackley, G. Schreiber, N. Shadbolt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings
Editors	A. Laurent, O. Strauss, B. Bouchon-Meunier, R.R. Yager
Place of Publication	Cham
Publisher	Springer
Pages	15-24
Number of pages	10
ISBN (Electronic)	978-3-319-08795-5
ISBN (Print)	978-3-319-08794-8
DOIs	https://doi.org/10.1007/978-3-319-08795-5_3
Publication status	Published - 2014
Externally published	Yes
Event	15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014) - Montpellier, France Duration: 15 Jul 2014 → 19 Jul 2014 http://www.ipmu2014.univ-montp2.fr/

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	442
ISSN (Print)	1865-0929

Conference

Conference	15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014)
Abbreviated title	IPMU 2014
Country/Territory	France
City	Montpellier
Period	15/07/14 → 19/07/14
Internet address	http://www.ipmu2014.univ-montp2.fr/

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10.1007/978-3-319-08795-5_3

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Ceolin, D., Moreau, L., O'Hara, K., Fokkink, W., van Hage, W. R., Maccatrozzo, V., Sackley, A., Schreiber, G., & Shadbolt, N. (2014). Two procedures for analyzing the reliability of open government data. In A. Laurent, O. Strauss, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings (pp. 15-24). (Communications in Computer and Information Science; Vol. 442). Springer. https://doi.org/10.1007/978-3-319-08795-5_3

Ceolin, D. ; Moreau, L. ; O'Hara, K. et al. / Two procedures for analyzing the reliability of open government data. Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. editor / A. Laurent ; O. Strauss ; B. Bouchon-Meunier ; R.R. Yager. Cham : Springer, 2014. pp. 15-24 (Communications in Computer and Information Science).

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title = "Two procedures for analyzing the reliability of open government data",

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.",

author = "D. Ceolin and L. Moreau and K. O'Hara and W. Fokkink and {van Hage}, W.R. and V. Maccatrozzo and A. Sackley and G. Schreiber and N. Shadbolt",

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booktitle = "Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings",

note = "15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014), IPMU 2014 ; Conference date: 15-07-2014 Through 19-07-2014",

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Ceolin, D, Moreau, L, O'Hara, K, Fokkink, W, van Hage, WR, Maccatrozzo, V, Sackley, A, Schreiber, G & Shadbolt, N 2014, Two procedures for analyzing the reliability of open government data. in A Laurent, O Strauss, B Bouchon-Meunier & RR Yager (eds), Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. Communications in Computer and Information Science, vol. 442, Springer, Cham, pp. 15-24, 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014), Montpellier, France, 15/07/14. https://doi.org/10.1007/978-3-319-08795-5_3

Two procedures for analyzing the reliability of open government data. / Ceolin, D.; Moreau, L.; O'Hara, K. et al.
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. ed. / A. Laurent; O. Strauss; B. Bouchon-Meunier; R.R. Yager. Cham: Springer, 2014. p. 15-24 (Communications in Computer and Information Science; Vol. 442).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Moreau, L.

AU - O'Hara, K.

AU - Fokkink, W.

AU - van Hage, W.R.

AU - Maccatrozzo, V.

AU - Sackley, A.

AU - Schreiber, G.

AU - Shadbolt, N.

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AB - 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.

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Ceolin D, Moreau L, O'Hara K, Fokkink W, van Hage WR, Maccatrozzo V et al. Two procedures for analyzing the reliability of open government data. In Laurent A, Strauss O, Bouchon-Meunier B, Yager RR, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. Cham: Springer. 2014. p. 15-24. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-08795-5_3

Two procedures for analyzing the reliability of open government data

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