Common Operating Data Infrastructure Quality Pathfinder

Space Launch Delta 45 (SLD 45) of the United States Space Force faces challenges in modernizing spaceport operations due to outdated hardware, inefficient data management, and lack of standardization. These issues affect operational efficiency and security, making it hard to keep up with technological advancements of peer adversaries. SLD 45 struggles with space situational awareness and increasing demands for space launches. Quality data is vital for analytics and machine learning in space operations, involving sources like vessel tracking, weather reports, wildlife surveys, and telemetry data. The Common Operating Data Infrastructure (CODI) at SLD 45 aims to integrate various datasets to provide a consistent and reliable "ground truth" for data, enhancing situational awareness and decision-making. UTSI proposes to integrate its Data Quality Method (DQM) into CODI, focusing on data accuracy, reliability, relevance, and validity. This integration will improve risk mitigation and cyber resiliency, leading to better decision-making. The DQM process uses AI and physics-based evaluations to assess data quality. Integrating DQM into CODI will boost confidence in data sources, improving decision-making, compliance, operational efficiency, and safety. The program includes data governance, and AI/Physics driven real-time validation. UTSI's DQM has been successful in various industries and will provide a unified data standard for SLD 45. UTSI's solution enhances decision-making and operational efficiency by structuring (if sources are unstructured or semi structured) incoming data for accuracy and reliability. The DQM process involves data transformation, verification, and AI/physics-driven validation. This ensures data quality for operations like launch facilities, operations, maintenance, and environmental monitoring. UTSI proposes integrating its Data Quality Method (DQM) into CODI, ensuring data accuracy, reliability, relevance, and validity. This integration will enhance risk mitigation and cyber resiliency, leading to better decision-making in spaceport operations. The DQM process involves AI/physics-driven evaluation of data, covering syntactic, semantic, pragmatic aspects, and quality scoring. UTSI's Phase II initiative focuses on adapting and integrating DQM with CODI, including compatibility testing and system refinement based on feedback. The goal is TRL 6 testing at SLD 45, with an eye on commercialization. Activities include adapting DQM for USSF data, integrating with spaceport infrastructure, and field testing. Milestones are data sharing, prototype development, successful documentation integration, and TRL 6 testing. Deliverables include an operational DQM prototype, integration blueprint, testing report, and a final product ready for commercialization. This approach aims to improve operational efficiency, data accuracy, and cybersecurity in spaceport operations.