Name
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. |
Year | Venue | Field |
|---|---|---|
2014 | Communications in Computer and Information Science | Data science,Open data,World Wide Web,Computer science,Open government,Data reliability,Publishing,Information sensitivity |
DocType | Volume | ISSN |
Conference | 442 | 1865-0929 |
Citations | PageRank | References |
2 | 0.40 | 5 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davide Ceolin | 1 | 60 | 11.80 |
| L. Moreau | 2 | 75 | 8.68 |
| Kieron O'Hara | 3 | 761 | 75.47 |
| Wan Fokkink | 4 | 1089 | 88.64 |
| Willem Robert van Hage | 5 | 516 | 39.07 |
| valentina maccatrozzo | 6 | 15 | 3.24 |
| Alistair Sackley | 7 | 5 | 0.83 |
| Guus Schreiber | 8 | 60 | 8.77 |
| Nigel Shadbolt | 9 | 4273 | 321.53 |