Public Sector Data for Academic Research: The Case of the UAE

Aleksandar Abu Samra, Toufic Mezher and Elie Azar ()
Additional contact information
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

Chapter Chapter 3 in Artificial Intelligence in the Gulf, 2021, pp 15-46 from Springer

Abstract: 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.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-0771-4_3

Ordering information: This item can be ordered from
http://www.springer.com/9789811607714

DOI: 10.1007/978-981-16-0771-4_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().