NASA's data archives, holding vast amounts of information from past missions, continue to drive new scientific discoveries and benefit various fields.
NASA's science data, managed by the Science Mission Directorate, spans across astrophysics, Earth science, heliophysics, planetary science, and biological and physical sciences.
Over 50% of scientific publications rely on NASA's archived data, which is accessible to millions of users globally.
Advanced technologies like image processing and AI unlock new insights from historical data, leading to discoveries like finding new moons around Uranus from Voyager mission archives.
NASA's Lunar Reconnaissance Orbiter confirmed water ice on the Moon, showcasing how archived data reshapes our understanding and aids future missions.
Archival data from NASA's missions has been instrumental in various discoveries, including identifying a 'lost' Mayan city in Mexico and tracking urban growth using Earth observation data.
NASA invests in AI models to extract new findings from existing data, with a vision to create AI models for each scientific discipline to drive innovation.
Earth science foundation models like Prithvi analyze data to monitor Earth's landscape, track weather patterns, and support decision-making processes.
The incorporation of AI in data analysis not only accelerates discoveries but also ensures NASA's data archives continue to inspire new findings and innovations.
By combining extensive data archives with cutting-edge technologies, NASA ensures that its legacy data remains a vital resource for future research and exploration.