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Community for Data Integration (CDI)

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The Community for Data Integration (CDI) is a dynamic community of practice working together to grow USGS knowledge and capacity in scientific data and information management and integration.

News

July 10, 2024 CDI Monthly Meeting

July 10, 2024 CDI Monthly Meeting

June 12, 2024 CDI Monthly Meeting

June 12, 2024 CDI Monthly Meeting

May 8, 2024 CDI Monthly Meeting

May 8, 2024 CDI Monthly Meeting

Publications

So, you want to build a decision-support tool? Assessing successes, barriers, and lessons learned for tool design and development

The purpose of this study is to increase understanding of how the U.S. Geological Survey (USGS) is developing decision-support tools (DSTs) by documenting successes and barriers across all levels of USGS scientific tool creation and outreach. These findings will help streamline future tool design and development processes. We provide a synthesis of lessons learned and best practices across a spect
Authors
Amanda D. Stoltz, Amanda E. Cravens, Nicole M. Herman-Mercer, Chung Yi Hou

Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery

Knowing subsurface drainage (tile-drain) extent is integral to understanding how landscapes respond to precipitation events and subsequent days of drying, as well as how soil characteristics and land management influence stream response. Consequently, a time series of tile-drain extent would inform one aspect of land management that complicates our ability to explain streamflow and water-quality a
Authors
Fleford Santos Redoloza, Tanja N. Williamson, Alex O. Headman, Barry J. Allred

Investigating geomorphic change using a structure from motion elevation model created from historical aerial imagery: A case study in northern Lake Michigan, USA

South Manitou Island, part of Sleeping Bear Dunes National Lakeshore in northern Lake Michigan, is a post-glacial lacustrine landscape with substantial geomorphic changes including landslides, shoreline and bluff retreat, and sand dune movement. These changes involve interrelated processes, and are influenced to different extents by lake level, climate change, and land use patterns, among other fa
Authors
Jessica D. DeWitt, Francis Ashland

Science

Developing inter-agency templates for FAIR genetic data archiving

Standardized archiving of genetic data is essential for reuse in monitoring biodiversity and data syntheses.
link

Developing inter-agency templates for FAIR genetic data archiving

Standardized archiving of genetic data is essential for reuse in monitoring biodiversity and data syntheses.
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A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data

Provide synthesis of water quality data to better understand the Nation’s water resources
link

A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data

Provide synthesis of water quality data to better understand the Nation’s water resources
Learn More

USGS Data in K-12 Education: Inspiring Future Scientists

Co-producing adaptable applications and trainings using USGS data to enhance data literacy in K-12 education.
link

USGS Data in K-12 Education: Inspiring Future Scientists

Co-producing adaptable applications and trainings using USGS data to enhance data literacy in K-12 education.
Learn More