Preliminary results
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Coordinated Assessments Reports from the Field. Preliminary Results. Progress. Data Exchange Templates. Data Analysis Flow Diagrams. Coordinated Assessments Reports from the Field. Preliminary Results. Lessons Learned. General Lessons Learned.

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Preliminary Results

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Preliminary results

Coordinated AssessmentsReports from the Field

Preliminary Results


Data exchange templates

Data Exchange Templates

Data analysis flow diagrams

Data Analysis Flow Diagrams

Preliminary results

Coordinated AssessmentsReports from the Field

Preliminary Results

Lessons Learned

General lessons learned

General Lessons Learned

  • Population (as defined by NOAA) is not a unit that data are commonly collected across the region

  • A “population responsibility directory” is not available within agencies and questions remain around:

    • population & population scale

    • responsibility for indicator calculations

    • overlap of responsibility

    • when overlap exists, what is the official database of record?

  • Granularity of population lists conflict with some agency/tribe management objectives

    • Some VSP indicators only available for population aggregates, rather than by CBFWA/TRT populations

Data exchange templates1

Data Exchange Templates

  • Terminology issues

    • smolt

    • natural spawner vs. natural origin spawner

    • recruit/spawner vs. progeny/parent

  • Current DET version does not accommodate all agency/tribe specific indicator calculations

    • Complex calculations are not captured

    • Complexity will need to be addressed in the next version of the DET

Data analysis flow diagrams1

Data Analysis Flow Diagrams


  • Generally speaking, well received

  • Have been useful when discussing indicator derivations with biologists

  • Serves multiple audiences and purposes


  • Desired level of detail inconsistent

    • e.g., programmer vs. biologist vs. supervisor needs

    • Depending on audience the diagram may not show all gaps

    • Data flow vs. data analysis

Preliminary results

Coordinated AssessmentsReports from the Field

Preliminary Results

Data Availability

Data availability indicator level

Data Availability: Indicator Level

  • Indicators are sometimes reported

    → but the supporting metadata is not included

  • Not all agencies calculate all 3 of the chosen VSP indicators

  • Natural Spawner Abundance (NSA) is the most commonly available

  • Spawner to Adult Ratio (SAR) the least and the most variable

Data components of the indicator

Data Components of the Indicator

  • Highly variable

    • Different ways to store data

    • Inconsistencies even within an agency

  • Sometimes the entire process is done in Excel while other agencies use a local or regional database

  • Storage of the metrics is variable:

    • Published papers and reports, internal documents, websites

    • Sometimes the data are hard to find

Examples of data management

Examples of Data Management

Systems capable of sharing data:

  • Idaho Fish and Wildlife Information System (IFWIS)

  • ODFW Salmon and Steelhead Recovery Tracker

  • Colville Tribe : Website that houses reports and formation of a database to house data from multiple sources

  • WDFW Juvenile Migrant Exchange (JMX)

  • NOAA Salmon Population Summary (SPS)

Data availability issues

Data Availability Issues

  • Changing methodology impacts and complicates availability

  • Lack of funding (staffing)

  • Inconsistent platforms and format

  • Lack of management priority for specific indicators

Preliminary results

Coordinated AssessmentsReports from the Field

Preliminary Results

Gaps and Needs



  • Need to define the populations of interest

    • Multiple naming conventions are used

    • Some indicators are calculated at scales larger or smaller than the actual population as formally defined



Money/time for data personnel who can:

  • Understand the data flow, data analysis and reporting process

  • Calculate indicators and supporting data

  • Perform data QA/QC

  • Collect and enter data into database

  • Develop metadata

Data management

Data Management

  • Database infrastructure

  • Metadata

  • Data dictionary

  • Data sharing, documentation, and transparency

  • Consistent methods for internal data analysis

  • A streamlined process for reporting data

    • data are exchanged multiple times before reporting



  • Clearer communication of project objectives

    • e.g., “What’s in it for me?”

  • Little coordination and communication between/among/within agency offices

  • Concern over data ownership and potential misuse of data

Future of the det

Future of the DET

  • The DET is a work in progress and needs further work before the region considers implementing it as a formal business practice for sharing data.

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