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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

Screenshot of the ScienceBase Homepage


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.



October ScienceBase Data Release Training for USGS Authors and Data Managers


ScienceBase Data Release Training for USGS Authors and Data Managers


April ScienceBase Data Release Training for USGS Authors and Data Managers


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
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

Community for data integration 2020 annual report

The Community for Data Integration is a community of practice whose purpose is to advance the data integration capabilities of the U.S. Geological Survey. In fiscal year 2020, the Community for Data Integration held 11 monthly forums, facilitated 13 collaboration areas, and supported 13 projects. The activities supported the broad U.S. Geological Survey priority of producing building blocks for do
Leslie Hsu, Amanda N. Liford, Grace C. Donovan

Opportunities to improve alignment with the FAIR Principles for U.S. Geological Survey data

In 2016, an interdisciplinary, international group of 53 scientists introduced a framework named “the FAIR Principles” for addressing 21st century scientific data challenges. The FAIR Principles are increasingly used as a guide for producing digital scientific products that are findable, accessible, interoperable, and reusable (FAIR), especially to enable use of such products in automated systems.
Frances L. Lightsom, Vivian B. Hutchison, Bradley Bishop, Linda M. Debrewer, David L. Govoni, Natalie Latysh, Shelley Stall