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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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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

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

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.