Download Electronic Government: 15th IFIP WG 8.5 International by Hans Jochen Scholl, Olivier Glassey, Marijn Janssen, Bram PDF

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By Hans Jochen Scholl, Olivier Glassey, Marijn Janssen, Bram Klievink, Ida Lindgren, Peter Parycek, Efthimios Tambouris, Maria A. Wimmer, Tomasz Janowski, Delfina Sá Soares

This ebook constitutes the refereed lawsuits of the fifteenth IFIP WG 8.5 overseas convention on digital govt, EGOV 2016, held in Guimaraes, Portugal, in September 2016, at the side of the eighth overseas convention on eParticipation, ePart 2016.

The 24 revised complete papers awarded have been conscientiously reviewed and chosen from 87 submissions. The papers are clustered less than the next topical sections: foundations; benchmarking and evaluate; details integration and governance; providers; assessment and public values; EGOV luck and failure; governance; social media; engagement; techniques; policy-making; belief, transparency and responsibility; open executive and big/open information; clever government/governance/cities.

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Read Online or Download Electronic Government: 15th IFIP WG 8.5 International Conference, EGOV 2016, Guimarães, Portugal, September 5-8, 2016, Proceedings PDF

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Additional resources for Electronic Government: 15th IFIP WG 8.5 International Conference, EGOV 2016, Guimarães, Portugal, September 5-8, 2016, Proceedings

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For example, panel data can be used to explore the relationship between unemployment rate in all countries of Europe and the poverty rate in all countries of Europe the last ten years. Predictive models are created and assessed in the context of predictive analytics in order to make empirical predictions using data and statistical or data mining methods [17]. In general, the goal of predictive models is to predict the output of a variable value (Y) for new observations given their input values (X) based on historical data.

Org/. eu/. eu/eurostat/data/database. uk. be/. uk/. 34 E. Kalampokis et al. For the purposes of this research, we searched two major open government data portals, namely the UK data portal and the European data portal. In both case, according to our scenario, we were interested to reuse open data about unemployment. We first searched the UK data portal for datasets using the keyword unemployment. g. to the UK’s Office for National Statistic) and thus to other files. We opened and examined these files one by one and find out that only 13 out of 56 are relevant to unemployment and that 7 out of 13 provide structured numeric values in a machine readable format.

7 Open Statistics Challenges This section presents a preliminary analysis of the main challenges towards the vision of Open Statistics. 1 Data Integration A big challenge in Open Statistics is related to overcoming the data fragmentation problem. OSD integration is required in order to be able to achieve the vision of Open Statistics. Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data [18]. Because, however, OSD can be conceptualised as cubes, the data integration problem in Open Statistics can be though as the problem of combining cubes.

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