Shah, Kalim U;
Kelman, Ilan;
(2025)
Data Management for Sustainable Development: Analyses of Small Island Developing States (SIDS).
Development Policy Review
, 43
(4)
, Article e70017. 10.1111/dpr.70017.
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Abstract
Motivation: Sustainable development in Small Island Developing States (SIDS) faces persistent governance challenges stemming from institutional constraints, fragmented data systems, and limited stakeholder collaboration. Leveraging diverse data sources and integrating Indigenous knowledge alongside local experiences are critical to overcoming these challenges and enhancing policy effectiveness. Purpose: This study aims to evaluate how governance models in SIDS can effectively utilize both “big” data (large-scale quantitative datasets) and “small” data (qualitative insights and Indigenous knowledge) to strengthen decision-making processes, enhance collaboration among stakeholders, and support sustainable development goals. Approach and Methods: The research employs comparative case studies from Mauritius, the Marshall Islands, Suriname, and Antigua and Barbuda. It specifically investigates practices of inter-agency coordination, community participation, and hybrid capacity-building. Data collection methods include qualitative analysis of governance frameworks, stakeholder interviews, and assessments of integrated data management systems. Findings: We highlight successful strategies for improving data robustness and usability, such as establishing integrated data management platforms, explicitly incorporating Indigenous knowledge and local expertise into policy formation, and adapting implementation practices to the unique contexts of each island state. These practices significantly enhance collaboration, transparency, and data-driven decision-making capabilities.
| Type: | Article |
|---|---|
| Title: | Data Management for Sustainable Development: Analyses of Small Island Developing States (SIDS) |
| DOI: | 10.1111/dpr.70017 |
| Publisher version: | https://doi.org/10.1111/dpr.70017 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | adaptive governance, big data, institutional capacity, small data, small islands |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10207566 |
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