- Reclamation
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- Center for Data Management
Center for Data Management
Project ID: 7671
Principal Investigator: Thomas Heinzer
Research Topic: Fish Passage and Entrainment
Funded Fiscal Years:
2015
Keywords: None
Research Question
Summarize advantages Reclamation programs can gain through the use of technology and information systems for interactive data assimilation, management, stakeholder interaction, dissemination and public transparency.
Need and Benefit
Managing data is central to the Bureau of Reclamation's (Reclamation) core missions of delivering water and power. Time-series data that track flows,operations, power deliveries, and more will drive Reclamation future planning and operations. A growing number external partners and interested parties are requesting information about Reclamation's water operations, particularly measurements to support regional and local water planning and forecasting. Reclamation has several disparate water measurement systems that have publicly accessible data and yet are not easily discoverable. Providing access to Reclamation's data via web services will improve efficiency for external users, the public, and specifically university-type researchers. A standard data-sharing framework is vital to share and use Reclamation's time-series datasets. This project demonstrates that we can share time series water data Reclamation wide, even though very different databases are used within and across regions. Individual database owners keep control of their data but can publish data on a shared infrastructure.
Contributing Partners
Contact the Principal Investigator for information about partners.
Research Products
Bureau of Reclamation Review
The following documents were reviewed by experts in fields relating to this project's study and findings. The results were determined to be achieved using valid means.
Center for Data Management (final, PDF, 393KB)
By Thomas Heinzer
Publication completed on September 30, 2015
The following documents were not reviewed. Statements made in these documents are those of the authors. The findings have not been verified.
Keeping Track of Data (final, PDF, 1.0MB)
By Thomas Heinzer
Publication completed on September 30, 2016