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Self-Reported Data for Sustainable Development from People Living in Rural and Remote Areas

Author

Listed:
  • Salem Ahmed Alabdali

    (Department of Management Information Systems, Jazan University, Jazan 45142, Saudi Arabia
    School of Computer Science, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Salvatore Flavio Pileggi

    (School of Computer Science, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Gnana Bharathy

    (School of Computer Science, University of Technology Sydney, Ultimo, NSW 2007, Australia)

Abstract

This paper describes a dataset for the Sustainable Development of remote and rural areas. Version 1.0 includes self-reported data, with a total of 212 valid responses collected in 2024 across different sectors (education, healthcare, and business) from people living in rural and remote areas in Saudi Arabia. The structured survey is understood to support research endeavors and policy making, looking at the peculiar characteristics of those regions. The 40 core questions, in addition to the detailed demographic questions, aim to capture different perspectives and perceptions on innovative and sustainable solutions. Overall, the dataset offers valuable strategic insights to be integrated with other sources of information, as well as the opportunity to incrementally generate extensive and diverse knowledge in the field. The major limitation is inherently related to the local context, as data comes from the most educated persons with access to digital resources. Additionally, the dataset may be considered as relatively small, and there is some gender imbalance due to cultural factors.

Suggested Citation

  • Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Gnana Bharathy, 2025. "Self-Reported Data for Sustainable Development from People Living in Rural and Remote Areas," Data, MDPI, vol. 10(1), pages 1-15, January.
    • Handle: RePEc:gam:jdataj:v:10:y:2025:i:1:p:6-:d:1562240
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    References listed on IDEAS

    as
    1. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    2. Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
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