Two Procedures for Analyzing the Reliability of Open Government Data

Ceolin, Davide; Moreau, Luc; O’Hara, Kieron; Fokkink, Wan; Hage, Willem Robert van; Maccatrozzo, Valentina; Sackley, Alistair; Schreiber, Guus; Shadbolt, Nigel

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

Cited by 4 publications

(7 citation statements)

References 6 publications

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“…Table 3 summarizes the results over the entire dataset. 5 Our simulation reduces the distance (i.e. the error) with respect to the projection, as confirmed by a Wilcoxon signed-rank test [35] at 95% significance level.…”

Section: 1]) the Model Issupporting

confidence: 58%

“…time intervals, by means of the Poisson process [15]), and more sophisticated to improve the uncertainty management part (e.g., Mixture Models [27], Nested [29] and Hierarchical Dirichlet processes [30] and Markov Chain Monte Carlo algorithms [13,25]). Secondly, we will work on the generalization of the data analysis procedures, by combining this work with a previous work on the analysis of the reliability of open data [5] and extending both of them.…”

Section: Automating Piracy Attacks Analysismentioning

confidence: 99%

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Uncertainty Estimation and Analysis of Categorical Web Data

Ceolin¹,

Hage²,

Fokkink³

et al. 2014

Uncertainty Reasoning for the Semantic Web III

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Abstract. Web data often manifest high levels of uncertainty. We focus on categorical Web data and we represent these uncertainty levels as first-or second-order uncertainty. By means of concrete examples, we show how to quantify and handle these uncertainties using the BetaBinomial and the Dirichlet-Multinomial models, as well as how take into account possibly unseen categories in our samples by using the Dirichlet process. We conclude by exemplifying how these higher-order models can be used as a basis for analyzing datasets, once at least part of their uncertainty has been taken into account. We demonstrate how to use the Battacharyya stastistical distance to quantify the similarity between Dirichlet distributions, and use such results to analyze a Web dataset of piracy attacks both visually and automatically.

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Section: 1]) the Model Issupporting

confidence: 58%

Section: Automating Piracy Attacks Analysismentioning

confidence: 99%

Uncertainty Estimation and Analysis of Categorical Web Data

Ceolin¹,

Hage²,

Fokkink³

et al. 2014

Uncertainty Reasoning for the Semantic Web III

Self Cite

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“…Novais et al (2013) provided a literature review of open government data studies from 2007 to 2012, in which they indicated the need to broaden the geographic coverage of open government data research and to improve the quality criteria for assessing open government data, including to ensure the trustworthiness of data (Ceolin et al , 2014; Léveillé and Timms, 2015). Novais et al (2013) suggested that the term open government data began to appear in 2007, following the publication of the original eight open data principles, which stated that open data should be complete, primary not aggregated, timely, accessible, machine-processable, non-discriminatory, non-proprietary and license-free (https://public.resource.org/8_principles.html).…”

Section: Literature Reviewmentioning

confidence: 99%

Open government data: critical information management perspectives

Shepherd

Bunn

Flinn

et al. 2019

RMJ

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Open government data and access to public sector information is commonplace, yet little attention has focused on the essential roles and responsibilities in practice of the information and records management professionals, who enable public authorities to deliver open data to citizens. The article considers the perspectives of open government and information practitioners in England on the procedural and policy implications of open data, across local public authorities. Design/methodology/approach Using four case studies from different parts of the public sector in England (local government, higher education, National Health Service (NHS) and hospital trust), the research involved Masters level students in the data collection and analysis, alongside academics, thus enhancing the learning experience of students. Findings There was little consistency in the location of responsibility for open government data policy, the range of job roles involved, or the organizational structures, policy and guidance in place to deliver this function. While this may reflect the organizational differences and professional concerns, it makes it difficult to share best practice. Central government policy encourages public bodies to make their data available for re-use. However, local practice is very variable, and perhaps understandably responds more to local organizational strategic and resource priorities. A lack of common metadata standards for open data, different choices about which data to open, problems of data redundancy, inconsistency and data integrity and a wide variety of views on the corporate and public benefits of open data. Research limitations/implications The research is limited to England and to non-national public bodies and only draws data from a small number of case studies. Originality/value The research contributes to the debate about emerging issues around the complexities of open government data and its public benefits, contributing to the discussions around technology-enabled approaches to citizen engagement and governance. It offers new insights into the interaction between open data and public policy objectives, drawing on the experience of local public sectors in England.

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“…Government Data (GD) is another precious resource whose potential is yet to be explored for suitability studies, especially in developing countries. OGD, as a form of authoritative data, is regarded as of higher quality data than VGI [7,8]. Various open government data contain points of interest (POI), which offer a useful reflection of the spatial distribution, spatial pattern, and categories of infrastructures, which are an important source of suitability indicators.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis

Lyimo

Shao

Ally

et al. 2020

IJGI

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Besides OpenStreetMap (OSM), there are other local sources, such as open government data (OGD), that have the potential to enrich the modeling process with decision criteria that uniquely reflect some local patterns. However, both data are affected by uncertainty issues, which limits their usability. This work addresses the imprecisions on suitability layers generated from such data. The proposed method is founded on fuzzy logic theories. The model integrates OGD, OSM data and remote sensing products and generate reliable landfill suitability results. A comparison analysis demonstrates that the proposed method generates more accurate, representative and reliable suitability results than traditional methods. Furthermore, the method has facilitated the introduction of open government data for suitability studies, whose fusion improved estimations of population distribution and land-use mapping than solely relying on free remotely sensed images. The proposed method is applicable for preparing decision maps from open datasets that have undergone similar generalization procedures as the source of their uncertainty. The study provides evidence for the applicability of OGD and other related open data initiatives (ODIs) for land-use suitability studies, especially in developing countries.

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Two Procedures for Analyzing the Reliability of Open Government Data

Cited by 4 publications

References 6 publications

Uncertainty Estimation and Analysis of Categorical Web Data

Uncertainty Estimation and Analysis of Categorical Web Data

Open government data: critical information management perspectives

A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis

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