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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.
Collaboration Areas
Collaboration Areas
Join a group of peers to explore common interests and solve shared challenges.
Projects and Products
Projects and Products
The CDI supports innovative ideas across the community with seed funding for projects.
News
CDI Activities in FY 2025
CDI Activities in FY 2025
Upcoming CDI Monthly Meetings
Upcoming CDI Monthly Meetings
Revised Schedule for the FY 2026 Community for Data Integration Request for Proposals
Revised Schedule for the FY 2026 Community for Data Integration Request for Proposals
Publications
Python Hyperspectral Analysis Tool (PyHAT) user guide Python Hyperspectral Analysis Tool (PyHAT) user guide
This report is a user guide for the 0.1.2 release of the Python Hyperspectral Analysis Tool (PyHAT) and its graphical user interface (GUI). The GUI is intended to provide an intuitive front end to allow users to apply sophisticated preprocessing and analysis methods to spectroscopic data. Though the PyHAT package has been developed with a particular focus on laser-induced breakdown...
Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition
The U.S. Geological Survey (USGS), Defense Advanced Projects Research Agency (DARPA), NASA Jet Propulsion Laboratory (JPL), and MITRE ran a 12-week machine learning competition aimed at accelerating development of AI tools for critical mineral assessments. The Artificial Intelligence for Critical Mineral Assessment Competition solicited innovative solutions for two challenges: 1)...
Biodiversity on public lands: How community science can help Biodiversity on public lands: How community science can help
Species inventories are crucial for conservation but are difficult to assemble and maintain. Bioblitzes, which encourage the public to document biodiversity in a particular area and timeframe, may offer useful information but their integration with other datasets poses challenges. We investigated the potential contribution of bioblitzes to natural resource management using observations...
Science
A Scalable System for Geospatial Delivery of Hi-Res Data Products From Mobile Monitoring Platforms
Using enterprise mapping capabilities to deliver data products from mobile monitoring platforms to management partners
Scaling-up phenological date matching for invasive species mapping: a free opensource workflow
Matching imagery dates to phenological events across large geographic regions for invasive species mapping.
An application for automation and streamlining of workflow for modeling of time-series data
Expand usability of existing water-quality software more broadly to other time-series datasets