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By NASA
6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
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Last Updated Jul 09, 2025 Related Terms
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By NASA
The NASA Ames Science Directorate recognizes the outstanding contributions of (pictured left to right) Sigrid Reinsch, Lori Munar, Kevin Sims, and Matthew Fladeland. Their commitment to the NASA mission represents the entrepreneurial spirit, technical expertise, and collaborative disposition needed to explore this world and beyond.
Space Biosciences Star: Sigrid Reinsch
As Director of the SHINE (Space Health Impacts for the NASA Experience) program and Project Scientist for NBISC (NASA Biological Institutional Scientific Collection), Sigrid Reinsch is a high-performing scientist and outstanding mentor in the Space Biosciences Research Branch. Her dedication to student training and her efforts to streamline processes have significantly improved the experience of welcoming summer interns at NASA Ames.
Space Science and Astrobiology Star: Lori Munar
Lori Munar serves as the assistant Branch Chief of the Exobiology Branch. In the past few months, she has gone above and beyond to organize a facility and laboratory surplus event that involved multiple divisions over multiple days. The event resulted in considerable savings across the groups involved and improved the safety of N239 staff and the appearance of offices and labs.
Space Science and Astrobiology Star: Kevin Sims
Kevin Sims is a NASA Technical Project Manager serving the Astrophysics Branch as a member of the Flight Systems Implementation Branch in the Space Biosciences Division. Kevin is recognized for outstanding project management for exoplanet imaging instrumentation development in support of the Habitable Worlds Observatory. Kevin has streamlined, organized, and improved the efficiency of the Ames Photonics Testbed being developed as part the AstroPIC Early Career Initiative project.
Earth Science Star: Matthew Fladeland
Matthew Fladeland is a research scientist in the Earth Science Division managing NASA SMD’s Program Office for the Airborne Science Program, located at Ames. He is recognized for exemplary leadership and teamwork leading to new reimbursable agreements with the Department of Defense, for accelerating science technology solutions through the SBIR program, and for advancing partnerships with the US Forest Service on wildland ecology and fire science.
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By NASA
Farah Al Fulfulee was just four years old when she started climbing onto the roof of her family’s house in Iraq to gaze at the stars.
“It scared me how vast and quiet the sky was, but it made me very curious. I grew a deep passion for the stars and constellations and what they might represent,” she said.
Her father noticed her interest and began bringing home books and magazines about space. Al Fulfulee first read about NASA in those pages and was fascinated by the agency’s mission to explore the cosmos for the benefit of all humanity.
“Right then I knew I had to be an astronaut! I must go to space myself and get a closer look,” she said. “I knew I must find a way to go and work for NASA and fulfill my dream, working with other people like me who had a passion to explore the universe.”
Farah Al Fulfulee poses outside the Sonny Carter Training Facility at NASA’s Johnson Space Center in Houston. Image courtesy of Farah Al Fulfulee As a girl growing up in the Middle East, Al Fulfulee had few opportunities to pursue this dream, but she refused to give up. Her dedication to schoolwork and excellence in science and math earned her a spot at the University of Baghdad College of Engineering. She completed a degree in electronic and communication engineering — similar to American electrical and computer engineering programs — and graduated as one of the top 10 students in her class. “We had a graduation party where you dress up as what you want to be in the future,” she recalled. “I wore a spacesuit.”
Farah Al Fulfulee celebrates her graduation from the University of Baghdad while wearing a spacesuit costume. Image courtesy of Farah Al Fulfulee Al Fulfulee was ready to launch her career, but Iraq did not have a developed space industry and finding work as a female engineer was a challenge. She accepted a project engineer position with a prominent Iraqi engineering firm in the information technology sector and spent four years working for the company in Iraq, Turkey, and Jordan, but she was disappointed to discover that her role involved very little engineering. “I was the only female on the team,” she said. “It was not common for a woman to work in the field or with customers, so I was always left behind to do office work. The job was not fulfilling.”
Still determined to join NASA, Al Fulfulee kept looking for her chance to come to the United States and finally found one in 2016, when she moved to Oklahoma to be near her sister. A new challenge soon rose: Without a degree from an American school or previous work experience in the United States, engineering opportunities were hard to come by. Al Fulfulee spent the next six years working in quality assurance for a human resources software company while she completed a MicroMasters program in software verification and management from the University of Maryland and honed her English and leadership skills.
Her big break came in 2022, when she landed a job with Boeing Defense, Space, and Security as a software quality engineer. “I was so excited,” she said. “I knew I was much closer to my dream since Boeing worked in the space industry and I would be able to apply internally to work on a space program.”
Farah Al Fulfulee participates in a NASA study that evaluated and compared the use of virtual reality and physical mockups to assess space vehicle and systems designs. Image courtesy of Farah Al Fulfulee Less than one year later, Al Fulfulee became a system design and analysis engineer for the International Space Station Program and joined the Station Management and Control Team at NASA’s Johnson Space Center in Houston. She helps develop requirements, monitors performance, and validates testing for electrical systems and software supporting space station payloads. She also designs hardware, software, and interface specifications for those systems. Al Fulfulee has served as the team’s point of contact, delivering verification assessment and data assessment reports for NASA’s SpaceX Crew-9 and Crew-10 missions, as well as the upcoming Axiom Mission 4 flight. She is currently working to support testing and verification for NASA’s SpaceX Crew-11.
“I could not be happier,” she declared.
She is also not stopping. “I won’t quit until I wear the blue suit.”
Farah Al Fulfulee tending to her backyard garden.Image courtesy of Farah Al Fulfulee Al Fulfulee has been an enthusiastic volunteer for various NASA studies, including the Exploration Atmosphere Studies that tested spacewalk safety protocols in an analog environment. She is pursuing a master’s degree in Space Operations Engineering from the University of Colorado, Colorado Springs. She is an avid gardener and learning how to grow produce indoors as a volunteer experimental botanist with the Backyard Produce Project, noting that such knowledge might come in handy on Mars.
She is also helping to inspire the next generation. Earlier this year, Al Fulfulee was a guest speaker at the Women in Tech & Business Summit in Iraq – an event designed to encourage Iraqi women to pursue technology careers. “I was the only person representing women in space,” she said. “It was a really moving experience.” Al Fulfulee provided practical advice on breaking barriers in aerospace and shared her story with the crowd.
“I know my path is long and across the continents,” she said, “but I am enjoying my journey.”
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By NASA
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A lot can change in a year for Earth’s forests and vegetation, as springtime and rainy seasons can bring new growth, while cooling temperatures and dry weather can bring a dieback of those green colors. And now, a novel type of NASA visualization illustrates those changes in a full complement of colors as seen from space.
Researchers have now gathered a complete year of PACE data to tell a story about the health of land vegetation by detecting slight variations in leaf colors. Previous missions allowed scientists to observe broad changes in chlorophyll, the pigment that gives plants their green color and also allows them to perform photosynthesis. But PACE now allows scientists to see three different pigments in vegetation: chlorophyll, anthocyanins, and carotenoids. The combination of these three pigments helps scientists pinpoint even more information about plant health. Credit: NASA’s Goddard Space Flight Center NASA’s Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite is designed to view Earth’s microscopic ocean plants in a new lens, but researchers have proved its hyperspectral use over land, as well.
Previous missions measured broad changes in chlorophyll, the pigment that gives plants their green color and also allows them to perform photosynthesis. Now, for the first time, PACE measurements have allowed NASA scientists and visualizers to show a complete year of global vegetation data using three pigments: chlorophyll, anthocyanins, and carotenoids. That multicolor imagery tells a clearer story about the health of land vegetation by detecting the smallest of variations in leaf colors.
“Earth is amazing. It’s humbling, being able to see life pulsing in colors across the whole globe,” said Morgaine McKibben, PACE applications lead at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “It’s like the overview effect that astronauts describe when they look down at Earth, except we are looking through our technology and data.”
Anthocyanins, carotenoids, and chlorophyll data light up North America, highlighting vegetation and its health.Credit: NASA’s Scientific Visualization Studio Anthocyanins are the red pigments in leaves, while carotenoids are the yellow pigments – both of which we see when autumn changes the colors of trees. Plants use these pigments to protect themselves from fluctuations in the weather, adapting to the environment through chemical changes in their leaves. For example, leaves can turn more yellow when they have too much sunlight but not enough of the other necessities, like water and nutrients. If they didn’t adjust their color, it would damage the mechanisms they have to perform photosynthesis.
In the visualization, the data is highlighted in bright colors: magenta represents anthocyanins, green represents chlorophyll, and cyan represents carotenoids. The brighter the colors are, the more leaves there are in that area. The movement of these colors across the land areas show the seasonal changes over time.
In areas like the evergreen forests of the Pacific Northwest, plants undergo less seasonal change. The data highlights this, showing comparatively steadier colors as the year progresses.
The combination of these three pigments helps scientists pinpoint even more information about plant health.
“Shifts in these pigments, as detected by PACE, give novel information that may better describe vegetation growth, or when vegetation changes from flourishing to stressed,” said McKibben. “It’s just one of many ways the mission will drive increased understanding of our home planet and enable innovative, practical solutions that serve society.”
The Ocean Color Instrument on PACE collects hyperspectral data, which means it observes the planet in 100 different wavelengths of visible and near infrared light. It is the only instrument – in space or elsewhere – that provides hyperspectral coverage around the globe every one to two days. The PACE mission builds on the legacy of earlier missions, such as Landsat, which gathers higher resolution data but observes a fraction of those wavelengths.
In a paper recently published in Remote Sensing Letters, scientists introduced the mission’s first terrestrial data products.
“This PACE data provides a new view of Earth that will improve our understanding of ecosystem dynamics and function,” said Fred Huemmrich, research professor at the University of Maryland, Baltimore County, member of the PACE science and applications team, and first author of the paper. “With the PACE data, it’s like we’re looking at a whole new world of color. It allows us to describe pigment characteristics at the leaf level that we weren’t able to do before.”
As scientists continue to work with these new data, available on the PACE website, they’ll be able to incorporate it into future science applications, which may include forest monitoring or early detection of drought effects.
By Erica McNamee
NASA’s Goddard Space Flight Center, Greenbelt, Md.
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Last Updated Jun 05, 2025 EditorKate D. RamsayerContactKate D. Ramsayerkate.d.ramsayer@nasa.gov Related Terms
Earth Goddard Space Flight Center PACE (Plankton, Aerosol, Cloud, Ocean Ecosystem) Explore More
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By European Space Agency
On 31 May, a live performance of The Blue Danube – often referred to as the ‘anthem of space’ – was transmitted by the European Space Agency (ESA) into the vastness of space. The event marked a double celebration: ESA’s 50th anniversary and the 200th birthday of the King of Waltz Johann Strauss II.
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