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Developing a government enterprise architecture framework to support the requirements of big and open linked data with the use of cloud computing

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TLDR
The main part of the article deals with the detailed proposal of the architecture framework and partial views on architecture (sub-architectures) and a methodology, including a proposal of appropriate steps, solutions and responsibilities for them.
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This article is published in International Journal of Information Management.The article was published on 2019-06-01 and is currently open access. It has received 54 citations till now. The article focuses on the topics: Enterprise architecture framework & Enterprise architecture.

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Citations
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Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data

TL;DR: The proposed techniques are superior to other existing methods, which mean recommendation accuracy is improved and an improvement is made on the matrix factorization model to handle data sparsity.
Journal ArticleDOI

A Systematic Literature Review on Enterprise Architecture Visualization Methodologies

TL;DR: A systematic literature review on EA visualization methodologies is conducted to show a systematized category of visualization approaches, and a general visualization approach is proposed by systematically reviewing the papers.
Journal ArticleDOI

Extending reference architecture of big data systems towards machine learning in edge computing environments

TL;DR: Reference architecture (RA) design of a big data system utilising ML techniques in edge computing environments is discussed in this article, where a system view is provided of the software engineering aspects of ML model development and deployment.
Journal ArticleDOI

Extending organizational capabilities with Open Data to support sustainable and dynamic business ecosystems

TL;DR: This paper has applied the capability-driven development approach, which allows modeling of OD processing ecosystems, facilitates knowledge exchange about OD usage among members of the ecosystem, and supports configuring information systems for OD processing.
References
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Journal ArticleDOI

Design science in information systems research

TL;DR: The objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research.
Book

The Sage handbook of qualitative research

TL;DR: The Handbook of qualitative research (HOF) as discussed by the authors has been used extensively in qualitative research research, see http://www.handbookof qualitative research.huffman.org.
Book

Systematic Reviews in the Social Sciences: A Practical Guide

TL;DR: Systematic review methods have been widely used in health care, and are becoming increasingly common in the social sciences (fostered by the work of the Campbell Collaboration) as mentioned in this paper.
Journal ArticleDOI

Big Data: A Survey

TL;DR: The background and state-of-the-art of big data are reviewed, including enterprise management, Internet of Things, online social networks, medial applications, collective intelligence, and smart grid, as well as related technologies.
Journal ArticleDOI

The rise of big data on cloud computing

TL;DR: The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced, and research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance.
Related Papers (5)
Frequently Asked Questions (18)
Q1. What have the authors contributed in "Developing a government enterprise architecture framework to support the requirements of big and open linked data with the use of cloud computing" ?

The article addresses the challenges and proposes a new government enterprise architecture framework. The following partial architectures are included: big and open linked data storage, processing, and publishing using cloud computing. The main part of the article deals with the detailed proposal of the architecture framework and partial views on architecture ( sub-architectures ). 

Future research will be focused on the detailed requirements, especially in the context of the integration into the existing IS/ICT infrastructure in the organization. 

The support components for both consumer and provider are: security and privacy; architecture management and control; operations support in architecture; architecture performance and elasticity; and coordination and cooperation of components. 

A data storage requires new types of distributed file systems, i.e. NoSQL, NewSQL, Massively Parallel Processing (MPP) or in-memory database architecture to adapt to large amounts of data and changing structures. 

The other identified architectural components for a cloud provider are distinguished into six layers:cloud services delivery models; access / service delivery at different levels and access infrastructure; service search and management; service orchestration and cloud management; resources abstraction (virtualization); physical resources for cloud services and equipment. 

For artifact design and development, the methods of analysis, synthesis, abstraction, comparison, decomposition, and modelling are used. 

As a part of the process view the framework proposes to focus on the support of related processes which may be modelled in a hierarchical manner. 

a lifecycle of big data can be divided in four phases (Chen et al., 2014): data generation, data acquisition, data storage, and data analysis. 

The limitations to validity of the study’s results and architectural claims in other countries or organizations are related to different types of administrative structures and responsibility, coverage, and liability between them in the public sectors worldwide. 

A survey conducted by Sutherland and Chetty (2014) showed that up to 75% of the respondents see the need to incorporate cloud services into their respective enterprise architecture. 

Data stores classification is based on the National Institute of Standards and Technology (NIST) Big Data Interoperability Framework (NIST, 2015). 

The combination of size, multiple sources, and unstructured data then presents the problem of having sufficient computing power to process these data. 

The key steps of the new methodology are defined as follows: the first step is focused on the global and information strategy (a change from current to target state), in this case, it is about the solution, which should be cost effective so asto ensure low cost investments in hardware, software, and data maintenance, it is followed by the analysis of current trends in ICT, analysis of the existing IS/ICT infrastructure in the organization, etc., the responsible stakeholder is system orchestrator, the output of this step is the SWOT analysis; the second step is the initial feasibility study phase where it is required to select related stakeholders and create a team, which will define and approve the requirements speci-fication, the output is report with an overview of the basic requirements (boundaries), including various alternatives, and a roadmap containing a list of risks, budget and schedule in the context of economy and costs; the third step is the global analysis phase, i.e., proposal of the architecture at the conceptual level, which can be described by the related components for each of the partialviews on architecture, the output is a revised list of requirements, global and partial architectures, strategy for ensuring the security and quality attributes, etc., more can be found in the content dimension of the MMDIS; it is followed by the detailed requirements specification, while this step is defined by the techniques and guidelines for models suggested by the TOGAF, i.e., ADM/MDA,the output of this step are the concrete models at required levels of views ready to implement, respectively to validate and verify them; the following steps then are: system implementation, system installation, system administration and maintenance, and system elimination. 

The expert from the practice worked as the head of the Department of information technology of Regional authority of Pardubice region with 15 years of practice at this position, namely with development and implementation of IS in the public sector. 

A process architecture is the means by which the organization establishes a set of rules, principles, guidelines and models for the implementation of the process management across the organization. 

In addition, many cloud vendors such as Amazon, Google, IBM, Oracle and Microsoft also proposed their own architectural styles to combine enterprise architectures and the power of cloud computing powers (Mahmood, 2011; Sharma, 2016; Shroff, 2010). 

As an example of related sub-components for the cloud provider on the second view level, the service orchestration and cloud management component is chosen. 

the decomposition of published architecture and reference frameworks was done and the key architectural components were identified.