Paper/Poster/Presentation Title
Keywords
CUAHSI, water data center, hydrologic information system, user experience, hydro-informatics, cloud computing
Location
Session A1: Leveraging Cyberinfrastructure to Advance Scientific Productivity and Reproducibility in the Water Sciences
Start Date
16-6-2014 2:00 PM
End Date
16-6-2014 3:20 PM
Abstract
The CUAHSI Water Data Center (WDC) is a community-governed, multi-disciplinary data center focused upon the needs of water-related science in all academic disciplines. The WDC build upon the successes of the 10-year effort to develop the CUAHSI Hydrologic Information System (HIS), and looks beyond HIS toward providing next-generation water data services. In partnership with the National Science Foundation, the WDC seeks to set the standard for data publication, persistence, and reliability, by providing formal user support services, using cloud-based abstractions and services, building new and accessible user interfaces to data, and establishing and sustaining data curation processes centered around optimizing the user experience. This paper documents the lessons learned in the WDC’s first year of operation, and sketches the future of the WDC in the coming years.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
Enabling Water Science at the CUAHSI Water Data Center
Session A1: Leveraging Cyberinfrastructure to Advance Scientific Productivity and Reproducibility in the Water Sciences
The CUAHSI Water Data Center (WDC) is a community-governed, multi-disciplinary data center focused upon the needs of water-related science in all academic disciplines. The WDC build upon the successes of the 10-year effort to develop the CUAHSI Hydrologic Information System (HIS), and looks beyond HIS toward providing next-generation water data services. In partnership with the National Science Foundation, the WDC seeks to set the standard for data publication, persistence, and reliability, by providing formal user support services, using cloud-based abstractions and services, building new and accessible user interfaces to data, and establishing and sustaining data curation processes centered around optimizing the user experience. This paper documents the lessons learned in the WDC’s first year of operation, and sketches the future of the WDC in the coming years.
