Salmon Science in Alaska: An Analysis of Current Research and Monitoring. Knudsen, E.E. 2007.

Millions of dollars are being spent annually on salmon research in Alaska. Salmon research problems are ecologically and biologically complex, cover a huge expanse of marine, estuarine,
and freshwater habitats, and are being studied by numerous research organizations and programs. Concerns have been raised about the efficiency of this spending, and whether the most important
management-oriented questions are being addressed. The purpose of this project was to gather the necessary metadata on salmon research and monitoring so decision-makers could determine whether
additional funding is warranted for salmon research and for what research topics. The objectives of this project were therefore to 1) identify and communicate with principal salmon research managers,
2) build and populate a database for housing and analyzing salmon research and monitoring metadata, and 3) analyze salmon research and funding metadata to describe the extent of funding for existing
research, areas of potential redundancy, and unmet research needs. Although insufficient research metadata detail was gathered for a reasonable gap analysis, the project research database contains
457 records of recent salmon studies, and the monitoring database contains 13,533 records of salmon monitoring in Alaska. Salmon research has been summarized by species, life history stage, bioregion,
disciplinary topic, research issue, and management information needs. Summary information has also been provided on funding for salmon research and monitoring in Alaska. A web-served query system, that
allows users to search for research projects through a spatially explicit interface, as well as through a query builder, was also produced during this project. These datasets were archived as part of the North Pacific Research Board legacy project recovery effort undertaken by Axiom Data Science and NPRB in 2025. The goal of the recovery effort was to assess the NPRB-funded data projects from 2002 to 2014 and archive final data packages that were ready for publication to increase long-term accessibility and discoverability. Data packages were archived as is given limited funding and resources.