Confluence Retirement

Due to the feedback from stakeholders and our commitment to not adversely impact USGS science activities that Confluence supports, we are extending the migration deadline to January 2023.

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is targeted for retirement. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact myusgs@usgs.gov. Thank you for your prompt attention to this matter.

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This page describes the Fiscal Year 2018 Community for Data Integration (CDI) Request for Proposals (RFP). Through the annual CDI proposal process, funds have been awarded for projects focusing on data integration for interdisciplinary research, innovative data management, and demonstrations of practical use of new technologies.

Table of Contents

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February 23, 2018: Phase 2 Proposals

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FY18 Awarded Projects

4/11/18: We received many excellent proposals and wish that we could fund more of them. We are announcing seven projects that we are able to support this year when funds become available. We are actively looking to secure funds for additional projects, but didn’t want to delay this announcement. The CDI facilitators will be contacting all PIs soon to let them know the status of their proposals.

TitleLead PIOrganization
An Interactive Web-based Tool for Anticipating Long-term Drought RiskBradford, JohnSouthwest Biological Science Center
National Alert Risk Mapper for Nonindigenous Aquatic SpeciesFuller, PamWetland and Aquatic Research Center
Integrating Disparate Spatial Datasets from Local to National Scale for Web-Based Visualization and Analysis: A Case Study Compiling U.S. Landslide InventoriesMirus, BenGeologic Hazards Science Center
Knowledge Extraction Algorithms (KEA): Turning Literature Into DataNeilson, MatthewWetland and Aquatic Research Center
Content specifications to enable USGS transition to ISO metadata standardWalworth, DennisAlaska Science Center
Mapping land-use, hazard vulnerability and habitat suitability using deep neural networksWarrick, JonathanPacific Coastal and Marine Science Center
Workflows to support integrated predictive science capacity: Forecasting invasive species for natural resource planning and risk assessmentWeltzin, JakeNational Phenology Network

Vote

Voting was open from February 6-15 (closing on the 15th at 5pm ET). 

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