IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-16-0771-4_3.html
   My bibliography  Save this book chapter

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

In: Artificial Intelligence in the Gulf

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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-16-0771-4_3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.