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ScienceBase

Use ScienceBase and the ScienceBase Data Release process to publicly release your USGS data

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Data Management Website

Visit the Data Management Website to learn more about best practices and policy requirements

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Community for Data Integration

Join the Community for Data Integration to connect with your community on data topics

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Science Data Catalog

Discover data through the Science Data Catalog

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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
Sources/Usage: Public Domain.

 

Engage with the SDM Team

Workshop participants around a poster
Sources/Usage: Public Domain.
Participants at the CDI Workshop in 2017 doing a planning activity at the Data Management Working Group break out session.

News

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February ScienceBase Data Release Training for USGS Authors and Data Managers

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ScienceBase Data Release Training for USGS Authors and Data Managers

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September 14, 2022 CDI Monthly Meeting

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Publications

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
By
Science Analytics and Synthesis (SAS), Community for Data Integration (CDI), Science Data Management

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.
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Coastal and Marine Hazards and Resources Program, Community for Data Integration (CDI), Woods Hole Coastal and Marine Science Center, Science Data Management

Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey

As Federal Government agencies in the United States pivot to increase access to scientific data (Sheehan, 2016), the U.S. Geological Survey (USGS) has made substantial progress (Kriesberg et al., 2017). USGS authors are required to make federally funded data publicly available in an approved data repository (USGS, 2016b). This type of public data product, known as a USGS data release, serves as a
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Science Analytics and Synthesis (SAS), Science Data Management
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