Author
Listed:
- Aleksandar Abu Samra
(Khalifa University of Science and Technology)
- Toufic Mezher
(Khalifa University of Science and Technology)
- Elie Azar
(Khalifa University of Science and Technology)
Abstract
Access to reliable data sources is one of the most important prerequisites for quality research and innovationinnovation especially in data-driven fields, such as Artificial Intelligence (AI). In the United Arab Emirates (UAEUAE), the governmentgovernment has set bold targets to become a leading nation in research and innovationinnovation. However, when scientists request data from local authorities, it often takes prolonged time, effort, and resources to obtain it. As a result, government–academia collaborationcollaboration has not yet reached its full potential, which is essential for the nation’s overall progress toward a knowledge-based society. This chapter explores the current procedures, barriers, and possible solutions for disclosing Public Sector Information (PSI) for academic research in the UAEUAE. To that aim, qualitative interviews were held with 34 academicians and public officials from 20 different entities across the country, identifying key drivers of the problem. Results show that, although the governmentgovernment is highly supportive of research activities, different factors stand in the way of a more open approach. A solutionsolution framework is then proposed and validated with public officials to better facilitate data sharing in the country, inspired by international Open Data practices, but remaining consistent with the current processes and regulations. This is expected to set the stage for comprehensive initiatives in the public sectorpublic sector of UAEUAE, starting with Abu DhabiAbu Dhabi, which can directly address existing challenges to fulfilling national research and innovationinnovation outcomes.
Suggested Citation
Aleksandar Abu Samra & Toufic Mezher & Elie Azar, 2021.
"Public Sector Data for Academic Research: The Case of the UAE,"
Springer Books, in: Elie Azar & Anthony N. Haddad (ed.), Artificial Intelligence in the Gulf, chapter 0, pages 15-46,
Springer.
Handle:
RePEc:spr:sprchp:978-981-16-0771-4_3
DOI: 10.1007/978-981-16-0771-4_3
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