Data Management for Sustainable Development: Case Analyses of Small Island Developing States (SIDS)

Kalim U. Shah and Ilan Kelman

Development Policy Review, 2025, vol. 43, issue 4

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. Policy Implications We emphasize the establishment and strengthening of regional data‐sharing platforms and collaborative governance models that promote adaptability, inclusivity, and transparency. Policymakers are encouraged to systematically integrate local and Indigenous knowledge with formal scientific data, thereby facilitating continuous learning, informed policy formulation, and improved sustainability outcomes for SIDS.

Date: 2025
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