{"title":"促进可持续发展的数据管理:小岛屿发展中国家案例分析","authors":"Kalim U. Shah, Ilan Kelman","doi":"10.1111/dpr.70017","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Motivation</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Approach and Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Policy Implications</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":51478,"journal":{"name":"Development Policy Review","volume":"43 4","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Management for Sustainable Development: Case Analyses of Small Island Developing States (SIDS)\",\"authors\":\"Kalim U. Shah, Ilan Kelman\",\"doi\":\"10.1111/dpr.70017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Motivation</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Approach and Methods</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Policy Implications</h3>\\n \\n <p>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.</p>\\n </section>\\n </div>\",\"PeriodicalId\":51478,\"journal\":{\"name\":\"Development Policy Review\",\"volume\":\"43 4\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Development Policy Review\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/dpr.70017\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DEVELOPMENT STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development Policy Review","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/dpr.70017","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
Data Management for Sustainable Development: Case Analyses of Small Island Developing States (SIDS)
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.
期刊介绍:
Development Policy Review is the refereed journal that makes the crucial links between research and policy in international development. Edited by staff of the Overseas Development Institute, the London-based think-tank on international development and humanitarian issues, it publishes single articles and theme issues on topics at the forefront of current development policy debate. Coverage includes the latest thinking and research on poverty-reduction strategies, inequality and social exclusion, property rights and sustainable livelihoods, globalisation in trade and finance, and the reform of global governance. Informed, rigorous, multi-disciplinary and up-to-the-minute, DPR is an indispensable tool for development researchers and practitioners alike.