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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


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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