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Science Analytics and Synthesis (SAS) Program

Science Analytics and Synthesis (SAS) emphasizes a science data lifecycle approach to Earth systems data and information. We strive to accelerate research and decision making through data science, information delivery, advanced computing, and biodiversity analytics.

News

First USGS Supercomputer Decommissioning makes way for Successors

First USGS Supercomputer Decommissioning makes way for Successors

USGS New Supercomputer Helps Scientists Wrangle Data

USGS New Supercomputer Helps Scientists Wrangle Data

Schedule of FY23 Working Groups

Schedule of FY23 Working Groups

Publications

Community for Data Integration 2020 project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret Hunter, Katharine Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha C. Reed, Terry L. Sohl, Tanja N. Williamson

The National Ocean Biodiversity Strategy

President Biden has been clear that the ocean is central to life on Earth. As he has proclaimed, “the ocean powers millions of jobs; feeds and sustains us; and is a rejuvenating source of inspiration, exploration, and recreation.” The Biden-Harris Administration has worked hard to fulfill the President’s goal to protect and conserve at least 30% of U.S. waters by 2030. The ocean faces increased th
Authors
Gabrielle Canonico, J. Emmett Duffy, Masha Edmonson, Katie Fillingham, Abigail Benson, Kelsey Bisson, Amanda Demopoulos, Beth Hinchey, Katsumi Matsumoto, Chris Meyer, James Price, Elaine Shen, Woody Turner, Mike Weise, Andrea Vander Woude, Lauren Wenzel

U.S. Geological Survey data strategy 2023–33

The U.S. Geological Survey (USGS) has long recognized the strategic importance and value of well-managed data assets as an integral component of scientific integrity and foundational to the advancement of scientific research, decision making, and public safety. The USGS investment in the science lifecycle, including collection of unbiased data assets, interpretation, peer review, interpretive publ
Authors
Vivian B. Hutchison, Thomas E. Burley, Kyle W. Blasch, Paul E. Exter, Gregory L. Gunther, Aaron J. Shipman, Courtney M. Kelley, Cheryl A. Morris
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