Comment:

The project is to be commended for looking at ways to add value to the database. For example, the project plans to provide information to hatcheries that can be used for managing hatchery practices.

1. Objectives, Significance to Regional Programs, and Technical Background

Objectives are clear. The project provides support for the COMPASS life-cycle model.

The proposal identifies that this project's significance to regional programs is due to providing data integration, web-based information, and analytical services that help connect primary databases, monitoring programs, decision makers, and resource users.

2. Results and Adaptive Management

The proposal states that services provided by this project support critical uncertainties research themes (D) Hydrosystem flow and passage operations and (F) Population structures of diversity identified in the Council's 2017 Research Plan. This project also reports data availability, data anomalies, formatting, and accuracy issues to primary data sources. Evidence of the amount and utility of this feedback to primary sources would be useful for this and future ISRP reviews.

Adaptive management is mentioned in the proposal in the sense that this project generates products such as data tools, analysis methods, and predictive models that can be used to support all areas of Fish and Wildlife Program adaptive management. It appears that adaptive management per se is not applied within this project but could be of use to consider the impact of vastly more data from increased detections, more precise detections, and additional methods of tagging.

3. Methods: Project Relationships, Work Types, and Deliverables

The proposal documents relationships that this second-tier data base has with many data base projects in the region. This project is a data management work type with data management issues dealt with properly. The interactive web-based query system appears to work very well. Most of the sources for DART data are the entities that provide public access to primary data. This project provides access to its research database through a web-based interface and through delivery of user-requested datasets and metadata. It is not clear how it is decided which data should be stored in DART.

The project develops procedures to ensure the quality of all integrated datasets. It also provides feedback to primary data sources on data quality issues.