Articulating Data Quality for Effective Space Situational Data Reuse

Space situational awareness (SSA) is critical for maintaining the safety and security of space operations. The ASTRIA initiative combines data from various near-Earth space observatories to understand the scale of space objects and enhance SSA. However, the quality of the received data can significantly impact the reliability and efficiency of SSA and the comprehension of near-Earth space observatories. In this research, we develop a framework to analyze the quality of the received data from various sources, define performance metrics to measure the quality of the received data, and determine the overlap of observed objects between the involved sources.