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The next generation of open data platform (ODP+): use case of Qatar

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journal contribution
posted on 2023-11-24, 16:32 authored by Ali Albinali, Russell LockRussell Lock, Iain PhillipsIain Phillips

Purpose: This study aims to look at challenges that hinder small- and medium-sized enterprises (SMEs) from using open data (OD). The research gaps identified are then used to propose a next generation of OD platform (ODP+).

Design/methodology/approach: This study proposes a more effective platform for SMEs called ODP+. A proof of concept was implemented by using modern techniques and technologies, with a pilot conducted among selected SMEs and government employees to test the approach’s viability.

Findings: The findings identify current OD platforms generally, and in Gulf Cooperation Council (GCC) countries, they encounter several difficulties, including that the data sets are complex to understand and determine their potential for reuse. The application of big data analytics in mitigating the identified challenges is demonstrated through the artefacts that have been developed.

Research limitations/implications: This paper discusses several challenges that must be addressed to ensure that OD is accessible, helpful and of high quality in the future when planning and implementing OD initiatives.

Practical implications: The proposed ODP+ integrates social network data, SME data sets and government databases. It will give SMEs a platform for combining data from government agencies, third parties and social networks to carry out complex analytical scenarios or build the needed application using artificial intelligence.

Social implications: The findings promote the potential future utilisation of OD and suggest ways to give users access to knowledge and features.

Originality/value: To the best of the authors’ knowledge, no study provides extensive research about OD in Qatar or GCC. Further, the proposed ODP+ is a new platform that allows SMEs to run natural language data analytics queries.

History

School

  • Science

Department

  • Computer Science

Published in

Transforming Government: People, Process and Policy

Publisher

Emerald Publishing Limited

Version

  • AM (Accepted Manuscript)

Rights holder

© Emerald Publishing Limited

Publisher statement

This paper was accepted for publication in the journal Transforming Government: People, Process and Policy and the definitive published version is available at https://doi.org/10.1108/TG-04-2023-0042. This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please visit Marketplace: https://marketplace.copyright.com/rs-ui-web/mp

Acceptance date

2023-11-24

Publication date

2023-12-22

Copyright date

2023

ISSN

1750-6166

eISSN

1750-6166

Language

  • en

Depositor

Dr Russell Lock. Deposit date: 24 November 2023