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Science Data Management

The Science Analytics and Synthesis (SAS) Science Data Management Branch (SDM) provides Bureau-wide leadership to optimize and share USGS science data management practices and workflows. SDM designs, supports, and builds community around enterprise tools and services that align with the USGS Science Data Lifecycle to ensure scientific data are fully described, preserved, and publicly accessible.

Discover SDM Tools

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Engage with the SDM Team

Workshop participants around a poster
Participants at the CDI Workshop in 2017 doing a planning activity at the Data Management Working Group break out session.

News

April ScienceBase Data Release Training for USGS Authors and Data Managers

April ScienceBase Data Release Training for USGS Authors and Data Managers

January/February ScienceBase Data Release Training for USGS Authors and Data Managers

January/February ScienceBase Data Release Training for USGS Authors and Data Managers

October ScienceBase Data Release Training for USGS Authors and Data Managers

October ScienceBase Data Release Training for USGS Authors and Data Managers

Publications

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

State of the data: Assessing the FAIRness of USGS data

In response to recent shifts towards open science that emphasize transparency, reproducibility, and access to research data, the US Geological Survey (USGS) conducted a study to assess the degree to which USGS data assets meet the FAIR data principles (Findable, Accessible, Interoperable, and Reusable). The USGS designed and applied a methodology for quantitative analysis of FAIR characteristics.
Authors
Vivian B. Hutchison, Tamar Norkin, Lisa Zolly, Leslie Hsu

Community for data integration 2019 project report

The U.S. Geological Survey Community for Data Integration annually supports small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 14 projects supported in fiscal year 2019 and outlines their goals, activities, and accomplishments. Proposals in 2019 were encouraged to addre
Authors
Amanda N. Liford, Caitlin M. Andrews, Aparna Bamzai, Joseph A. Bard, David S. Blehert, John B. Bradford, Wesley M. Daniel, Sara L. Caldwell Eldridge, Frank Engel, Jason A. Ferrante, Amy K. Gilmer, Margaret E. Hunter, Jeanne M. Jones, Benjamin Letcher, Frances L. Lightsom, Richard R. McDonald, Leah E. Morgan, Sasha C. Reed, Leslie Hsu