The Community for Data Integration (CDI) is a dynamic aggregation of multiple communities of practice, focused on the advancement of scientific data and information management and integration capabilities across the U.S. Geological Survey (USGS). On July 17 and 18 some of the many representatives from across the USGS who participate in the CDI were here in Reston to showcase examples of CDI-supported projects and the science data management and integration products that have resulted from them.
Kevin T. Gallagher (Associate Director, Core Science Systems) and Unknown User (firstname.lastname@example.org)(Director, Office of Science Quality and Integrity), Executive Sponsors of the CDI invited the USGS Executive Leadership Team (ELT) and USGS staff in Reston to visit the CDI DataBlast to meet and talk with our scientists, view their posters and try out some of the live demos! The ELT members participated as well as more than 75 attendees from across USGS and other organizations. The sessions garnered very positive feedback on the products and tools presented and offered a great opportunity to highlight the value of CDI. Visitors to the event had the opportunity to learn how USGS science benefits from CDI-supported projects and find out how they can participate in the CDI!
Note that the PDF poster files are made available here for the benefit of and to inform members of the CDI. We respectfully request that you do not distribute these PDF files.
U.S. Geological Survey Community for Data Integration: A Foundation for Sharing Science (PDF - PLEASE DO NOT DISTRIBUTE)
National Water Information System (NWIS) Web Services Snapshot Tool for ArcGIS (PDF - PLEASE DO NOT DISTRIBUTE)
The Geo Data Portal: A “Big Data” Broker for Environmental Modeling Application: Hydrologic Modeling of Downscaled Climate Projections in the Great Lakes (PDF - PLEASE DO NOT DISTRIBUTE)
Sharing Science – The CDI Data Upload, Registry, and Access Project (PDF - PLEASE DO NOT DISTRIBUTE)
Science for a Mobile World – Support for The Mobile Ecosystem (PDF - PLEASE DO NOT DISTRIBUTE)
Presenter: Schmid, Lorna A., Administration and Enterprise Information, VA
Co-authors: Daniel Pearson, Texas Water Science Center, Austin; Unknown User (email@example.com), Core Science Analytics and Synthesis, HI; and Ostroff, Andrea, Core Science Analytics and Synthesis, VA
Semantic Technologies for Integrating USGS Data (PDF - PLEASE DO NOT DISTRIBUTE)
A USGS Website to Support and Enable Better Science Data Management (PDF - PLEASE DO NOT DISTRIBUTE)