Exploring Data Integration Strategies for Public Sector Cloud Solutions

Breil, Alexander; Hitzelberger, Patrik; Carvalho, Paulo da Silva; Feltz, Fernand

doi:10.1007/978-3-642-32701-8_24

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…The implementation of cloud computing in the public sector may also depend on the eGovernment model (G2G, G2B, G2C) the government aims to support. Some scholars propose cloud-based government data centers that will facilitate data sharing among government entities (Chuob et al, 2010;Decman & Vintar, 2013;You et al, 2012) or will provide backend oriented eGovernment services to public organizations (Breil et al, 2012;DoD, 2012;Hung et al, 2011). The G2B model can be also supported by cloud computing, as a cloud platform can provide the ground for interconnecting governmental and business processes and act as an incubator for SMEs (Deussen et al, 2011).…”

Section: Discussionmentioning

confidence: 99%

Cloud Computing in eGovernment

Dermentzi

Tambouris

Tarabanis

2016

International Journal of Electronic Government Research

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Electronic Government (eGovernment) is currently facing significant challenges particularly due to the economic crisis which suggests governments should provide more with fewer resources. During the last few years, cloud computing emerged as a new computing paradigm with significant potential. The use of cloud computing in eGovernment has inevitably attracted significant attention from the research community. However, views of researchers and practitioners about the ways and the extent to which cloud computing can be adopted at the national level in order to facilitate eGovernment vary notably. The aim of this paper is to map cloud computing adoption by governments. For this purpose, a stage model was developed by employing the thematic analysis method based on both academic and grey literature. The proposed model is applicable at the national level and consists of four stages: ad-hoc eGov cloud solutions, cloud-based public services, eGov cloud(s) and diffusion of cloud computing in eGov. It should be noted that at this phase the authors' research is of an exploratory nature thus the model has not been validated with empirical data. Its purpose is to facilitate further research on the topic and help governments determine their progress in adopting cloud computing.

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Section: Discussionmentioning

confidence: 99%

Cloud Computing in eGovernment

Dermentzi

Tambouris

Tarabanis

2016

International Journal of Electronic Government Research

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“…Data are integrated by creating a virtual view on the different data sources. These sources are queried at runtime in order to reach and integrate their data [1]. In a materialized view approach, data is integrated in advance by fetching data from different sources, into one centralized database.…”

Section: Related Workmentioning

confidence: 99%

“…The main aim of the e-governments is to deliver the governmental services to the customers online, i.e., citizens, enterprises, public organizations [1]. E-government was built considering the Web and data warehouse technologies for maintaining the huge amounts of the data.…”

Section: Introductionmentioning

confidence: 99%

A Cloud-Based Data Integration Framework for E-Government Service

Salem¹

2018

JCP

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Today, every government is seeking to offer the best services to its citizens to improve competence, translucence, responsibility, access, and other services at low cost. Most governments are using communication technology and Web-based applications in most sectors to provide and ease the services between the state organizations and citizens. However, the government faces a variety of challenges towards delivering its e-services including data heterogeneity, data duplications, infrastructure scalability, IT budgets and costs, etc. These challenges always lead to failure of e-government projects. Currently, there is a strong direction for most applications to move onto the Web, particularly in the cloud. In this paper, we propose a cloud-based framework for integrating data from different data sources of government sector's databases into a unified repository, which deployed into the Cloud. Therefore, the proposed framework delivers several e-services to the government, citizens, and business communities. The proposed framework tackles several challenges of delivering e-government services. Due to warehousing data, the framework enables business intelligence applications to provide several services both for supporting decision makers and provide daily routine services for citizens. Finally, the proposed framework is validated using syntactic operational data for different seven governmental sectors, such data are integrated and warehoused into galaxy schema. The data warehouse is deployed into Cloud and different OLAP queries are performed for checking the consistency and integrity of data.

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