What is meant by "spatial data infrastructure"?

The term "spatial data infrastructure" refers to a framework that facilitates the sharing and utilization of spatial data among various organizations. This concept encompasses policies, technologies, standards, and practices that enable diverse users to access, contribute, and collaborate using geographic information effectively. An effective spatial data infrastructure aims to enhance the accessibility and usability of spatial data, supporting decision-making, planning, and analysis across different sectors.

This framework typically includes key components such as metadata standards, data interoperability standards, and protocols for data sharing. It emphasizes collaboration among government agencies, the private sector, and academic institutions to improve the overall quality and availability of geographic data. With a robust spatial data infrastructure, stakeholders can leverage valuable information for a range of applications including urban planning, emergency management, and environmental monitoring.

In contrast, the other options lack the comprehensive focus exhibited by the correct choice. A single comprehensive dataset or an isolated database would not encourage sharing and collaboration, as they imply a more confined scope. A collection of geographic features, while related to spatial data, does not encompass the broader framework necessary for infrastructure that promotes extensive use and sharing.