Towards Data-Driven Policies in Spectrum Management

This position paper explores the gap between the current state-of-the-art in spectrum management and the objective of data driven spectrum policy. We explore four issues underlying successful data-driven policy: data requirements to support policy decisions; data acquisition and storage; robust, extensible metadata; and tools for analysis and visualization. For each issue, we discuss the state-of-the-art and describe the ultimate objective. We conclude the paper with a call for action to the spectrum community and list a number of efforts that should be undertaken to support true data-driven spectrum policy