Abstract
Spatial data infrastructure (SDI) related to marine spatial data is known as marine SDI (MSDI). In this paper, we determine data themes under the MSDI in the order of usefulness and efficiency. The purpose is to streamline and support the prioritisation of data to be further implemented in the MSDI. This is conceptualised using the logic of decision support systems and a multi-criteria analysis approach that integrates components such as data, stakeholders, and users through multi-criteria methods for priority ranking. This research proposes an MSDI development concept and is validated using the Croatian MSDI case.
Highlights
IntroductionSpatial data infrastructure (SDI) is the foundation of human activities relating to spatial data on different levels [1,2]
The term “infrastructure” implies something that is fundamental or basic
This paper focuses on the decision-making processes that occur during the drafting process of the development of the marine SDI (MSDI)
Summary
Spatial data infrastructure (SDI) is the foundation of human activities relating to spatial data on different levels [1,2]. If we asked the experts who deal with spatial data how they define SDI, we would obtain different answers according to the context in which they use SDI or spatial data. In the SDI Cookbook [4], Nebert defines SDI as a concept of supporting the environment that provides access to spatial data using standard practices, protocols, and specifications. In [5,6], SDI is seen as a tool to ensure an environment in which all stakeholders (users and producers of spatial data) can collaborate and make the most of technology in a cost-effective manner to better achieve their objectives
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