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Project Information

Title: Data Management Program

Project Year and Number: 2018: 18170113

Other Fiscal Years and Numbers for this Project: 2017: 17120113

Principal Investigator (PI): Carol Janzen

Assisting Personnel: None

Research Location:

Restoration Category:

Injured Resources Addressed: Bald Eagles , Barrow's Goldeneye , Black Oystercatchers , Clams , Common Loons , Common Murres , Cormorants , Harbor Seals , Harlequin Ducks , Intertidal Organisms , Killer Whales , Kittlitz's Murrelets , Marbled Murrelets , Mussels , Pacific Herring , Passive Use , Pigeon Guillemot , Sea Otters , Sediments

Abstract: The Exxon Valdez Oil Spill Trustee Council (EVOSTC) requires a data management program composed of tools covering the entire data lifecycle, from immediately after data collection, to long-term preservation, to discovery and reuse. During the last EVOSTC five-year funding cycle, the Alaska Ocean Observing System (AOOS) provided data management services for both the “Long-Term Monitoring of Marine Conditions and Injured Resources and Services” Program, referred to as Gulf Watch Alaska (GWA), and the “Herring Research and Monitoring” (HRM) Program. These two programs leveraged the existing data management capacity of AOOS, but also helped inform and improve AOOS’ overall data and metadata management, access, and visualization tools. Because of these past investments, the AOOS team and infrastructure are best situated to provide data services to the EVOSTC for the next five years and thus maintain continuity and build upon the ongoing efforts and data management system development. Through these efforts, AOOS will continue to provide access to these tools and services for which the principal investigators (PIs) of the GWA and HRM Programs depend. Among these, the Research Workspace (an enhanced version of the former web-based data management platform, the Ocean Workspace) will be maintained and supported to upload, organize, and document data, as well as to facilitate program administration. This platform is familiar to GWA and HRM PIs from the prior funded effort, and allows data to be made promptly and securely available to team members and program administrators. During the spring of 2016, the existing Ocean Workspace will be updated with an enhanced metadata editor designed to help researchers more easily generate flexible yet robust, standards-compliant metadata. As in previous years, GWA and HRM Program data will be shared publicly (or ‘published’) through the AOOS Gulf of Alaska Data Portal, where it can be accompanied by any supplemental files or project documentation. Publishing through AOOS makes the data available to a wide-ranging and established network of resource managers, scientists, and the general public to support decision-making. In addition, the GWA and HRM Program datasets will be ingested into DataONE for long-term preservation, where each dataset will be assigned a digital object identifier (DOI) and made discoverable through other DataONE nodes. Through the AOOS data management system, the significant expertise of the data management staff at its technical partner organization, Axiom Data Science, is leveraged. The Axiom staff have extensive experience with the GWA and HRM Programs and their associated data through the prior five-year effort. Building upon these established relationships and infrastructure, AOOS is well-poised to deliver continued success in its data management services to facilitate the access and curation of data to support decision-making related to Spill affected ecosystems.

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Proposal: View PDF (238 KB)

Funding Recommendations: View

Funding Detail For: 2018

Quarterly Project Tasks For: 2018

Annual Report: 2018: View (2,131 KB)

Final Report: Final Report Not Available - For Current Status Please Contact Us

Publications from this Project: None Available

More information may be available for this project under other years:

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Project Number Proposal Annual Reports Final Report Data
2017: 17120113 View (PDF) 2017: View (PDF)
Final Report Not Available - For Current Status Please Contact Us No datasets