Scientific content curation provides users across diverse disciplines and levels of experience with a valuable means of accessing relevant and reliable information amid the growing data landscape.
data management
Posted inOpinions
Taking the Pulse of Global Change with World Heritage Data Sets
Applying World Heritage status to highly valuable environmental records would spotlight the vital insights they provide into how Earth is changing and would ensure their longevity and accessibility.
Posted inOpinions
We Need a Better Way to Share Earth Observations
A more accessible, open data-sharing infrastructure will engage a broader community of contributors, helping to develop satellite data products that benefit Earth science research and applications.
Posted inFeatures
A Common Language for Reporting Earthquake Intensities
Scientists are working together to establish a standardized international scale for measuring and reporting the intensities and impacts of earthquake shaking.
Posted inFeatures
Deluges of Data Are Changing Astronomical Science
Astronomers today are more likely than ever to access data from an archive rather than travel to a telescope—a shift that’s democratizing science.
Posted inAGU News
Your Databases Need a Reboot
Scientists are reassessing dated data in the time of the Cloud.
Posted inNews
Machine Learning Helps Researchers Track Illegal Fishing
Using machine learning, researchers found that nearly 20% of high seas fishing could be unauthorized.
Posted inNews
Scientists EEAGER-ly Track Beavers Across Western United States
Efficiently tracking nature’s engineers—beavers—at the scale of entire watersheds over time is now possible, thanks to a new artificial intelligence–trained model called EEAGER.
Posted inNews
Spurring Ocean Research with Open Data
Ocean data abound, but accessing them is a challenge, making tackling climate change difficult. One nonprofit is trying to compile them.
Posted inEditors' Highlights
Using Big Data for Monitoring Network Design and Beyond
Large data sets can be generated using deep learning to improve the design of observation networks for monitoring subsurface flow and transport.