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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Two Procedures for Analyzing the Reliability of Open Government Data
verfasst von : Davide Ceolin, Luc Moreau, Kieron O’Hara, Wan Fokkink, Willem Robert van Hage, Valentina Maccatrozzo, Alistair Sackley, Guus Schreiber, Nigel Shadbolt
Erschienen in: Information Processing and Management of Uncertainty in Knowledge-Based Systems
Verlag: Springer International Publishing
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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.