Environmental data through de-centralised collection : an assessment of environmental data sovereignty in Maldives

Abstract

Environmental data collected independently for research or development projects presents a valuable opportunity for Least Developed Countries and dispersed Small Island Nations (LDCs/SINs) to obtain regular, long-term information about their ecosystems without the typical financial and logistical challenges. However, effectively utilizing this independently collected environmental data requires a robust data governance approach which establishes the principles of data sovereignty. This study evaluates the data governance principles and data management mechanisms needed to gather, host, and disseminate de-centrally collected environmental data so that it can be used for sustainable development and informed decision-making. Using the 1200+ dispersed islands of the Maldives as a case study, this research examines the existing national environmental regulatory framework of the country within the context of environmental data management, to better understand the challenges associated with governance of de-centrally collected data and thereby derive recommendations for improvement. Limited technical infrastructure and capacity to securely store and host environmental data is identified as potentially being at the root of a lack of enforcement of existing regulations that govern the consolidation of data currently collected by third parties in the Maldives. Moreover, where data is available, conflicting mandates within the legal framework of the roles of different levels of government create barriers to collaboration and data sharing, leading to duplication of collection and management efforts. These challenges appear to be commonly faced by other LDCs/SINs. Recommendations for improvement included legally defining government roles, developing a national data management system, and reforming the research permit system. The results of this study provide a reference for other LDCs/SINs on mechanisms to efficiently gather, host, and make accessible data collected within national borders by independent researchers or during development activities, so that it can be used to effectively manage the environment and safeguard their environment, culture, and economy.