Special Issue "Information Architecture"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: closed (31 December 2017)

Special Issue Editors

Guest Editor
Dr. Asif Qumer Gill

School of Software, University of Technology Sydney, NSW 2007, Australia
Website | E-Mail
Interests: digital ecosystems; enterprise architecture; analytics information architecture; software engineering
Guest Editor
Mr. Janne J. Korhonen

Department of Computer Science, School of Science, Aalto University, Finland
Website | E-Mail
Interests: information science; software engineering; information systems (business informatics)
Co-Guest Editor
Prof. Ghassan Beydoun

Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia
Website | E-Mail
Interests: information systems methodologies; agent based modelling; artificial intelligence; disaster management; requirements engineering

Special Issue Information

Dear Colleagues,

Information is like a blood stream in the body of an information-intensive enterprise. Effective information management is crucial to continuously optimize, innovate, transform, and sustain an enterprise. Information architecture is an integrated set of actionable artifacts that are defined and updated to address the stakeholder concerns, and are aligned with the information management strategy and investment plans.  The emerging trends of analytics, Big Data, cloud, digitisation, the Internet of Things, mobile, open data, social media pose several challenges to the acquisition, validation, ingestion, storage, analysis, protection, and monetization of information and analytics. Traditional approaches to information architecture come under pressure when an adaptive and flexible response is required to deal the emerging disruptors.

This Special Issue hopes to investigate what are the contemporary information architecture concepts, challenges, practices, technologies, and applications in various areas.

Dr. Asif Qumer Gill
Mr. Janne J. Korhonen
Prof. Ghassan Beydoun

Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • analytics information architecture
  • architecture modelling
  • architecture governance
  • big data architecture
  • master data architecture
  • meta-data architecture
  • open data architecture
  • reference data architecture

Published Papers (1 paper)

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Research

Open AccessArticle Entity Attribute Value Style Modeling Approach for Archetype Based Data
Information 2018, 9(1), 2; https://doi.org/10.3390/info9010002
Received: 31 October 2017 / Revised: 14 December 2017 / Accepted: 20 December 2017 / Published: 29 December 2017
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Abstract
Entity Attribute Value (EAV) storage model is extensively used to manage healthcare data in existing systems, however it lacks search efficiency. This study examines an entity attribute value style modeling approach for standardized Electronic Health Records (EHRs) database. It sustains qualities of EAV
[...] Read more.
Entity Attribute Value (EAV) storage model is extensively used to manage healthcare data in existing systems, however it lacks search efficiency. This study examines an entity attribute value style modeling approach for standardized Electronic Health Records (EHRs) database. It sustains qualities of EAV (i.e., handling sparseness and frequent schema evolution) and provides better performance for queries in comparison to EAV. It is termed as the Two Dimensional Entity Attribute Value (2D EAV) model. Support for ad-hoc queries is provided through a user interface for better user-interaction. 2D EAV focuses on how to handle template-centric queries as well as other health query scenarios. 2D EAV is analyzed (in terms of minimum non-null density) to make a judgment about the adoption of 2D EAV over n-ary storage model of RDBMS. The primary aim of current research is to handle sparseness, frequent schema evolution, and efficient query support altogether for standardized EHRs. 2D EAV will benefit data administrators to handle standardized heterogeneous data that demands high search efficiency. It will also benefit both skilled and semi-skilled database users (such as, doctors, nurses, and patients) by providing a global semantic interoperable mechanism of data retrieval. Full article
(This article belongs to the Special Issue Information Architecture)
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