The core principal for this work is that each WE implements a discrete Study Design with a discrete data set for each location data is collected as a final product. “Study Designs” are detailed plans that explain how data are to be collected, managed, analyzed, and reported, and are a key component of quality assurance for natural resource monitoring programs (Oakley et al. 2006). A fully defined Study Design in monitoringmethods.org includes Purpose & Key Assumptions, Spatial Design, Temporal Design, Response Design, and Inference Design. This ensures that the correct information is being collected in the proper intensity, spatial and temporal scales, and is addressing the key F&W program information needs. This information is required to ensure the information attained is properly documented and repeatable by any entity choosing to use the Study Designs created. A separate Study Design should be used when there is variation in spatial or temporal designs, or variation in the data analysis or collection methods used in the specified design. A Metadata file must be posted as a public document in Pisces upon completion of contracted work and provided to any electronic data repository that stores the data collected under this scope of work. An export of BPA Pisces SOW, CBFish project location reports, and content from your Study Design at http://monitoringmethods.org may serve as core material for your metadata record. Additional documentation and guidance for creating metadata records may be found at http://www.pnamp.org/metadata. Data must be made available at completion of work by entering the Data Repository location in http://monitoringmethods.org. To support this, one may select the name of the Data Repository/database as documented at http://monitoringmethods.org or create a new entry. This includes URL/web address/FTP links or other relevant links to the data, as well as contact information for the person who administered the database that stores the data collected under this statement of work. In most cases a dataset may be joined with other data in a larger data repository or warehouse, or be a node in a data set for a specific year or location. In some cases, data set names are a discrete data file stored in a specific file folder on a personal computer. If your data is identified in Monitoring Resources as “No data repository, or not electronically available,” then a document must be attached that provides detailed information on how to attain the data analyzed under this WE. This must include contact information of the data manager in the form of: name of the person, position tile, phone number, email, and web address. NOTE: Proper documentation of this information informs researchers and policy staff where data and assessments are located, which is essential for primary or secondary assessments based on a project’s data collection efforts. When applicable, your deliverables should include recommendations to support the management questions or Biological Opinion RPA identified in the project’s proposal.

• Use this work element when the effort/costs of analyzing/interpreting data are significant relative to the purpose of the data collection itself, or if the data analysis is done under a separate Study Design in monitoringmethods.org. Otherwise, analysis and interpretation of data could be a milestone under 157. Collect/Generate/Validate Field and Lab Data.
• If the project generates reports or publications from the analyzed data, also use one of the work elements from the Reporting category, as appropriate.

• Rule 1 (Metrics): Use this work element when the effort/costs of analyzing/interpreting data are significant relative to the purpose of the data collection itself. Otherwise, analysis and interpretation of data could be a milestone under 157. Collect/Generate/Validate Field and Lab Data.
  
  
  Examples:
  
  

  Option 1 (lumping):

  
  WE: 157. Collect/Generate/Validate Field and Lab Data
  WE Title: Collect habitat data in Cold Creek watershed
  WE Description: Collect sixth year of habitat data in Cold Creek watershed, including vegetation grids, stream canopy shade, water temperature, etc. Provide statistical analyses and modeling to determine status and trends through six years of habitat data.
  
  

  Option 2 (splitting):

  
  WE: 157. Collect/Generate/Validate Field and Lab Data
  WE Title: Collect habitat data in Cold Creek watershed
  WE Description: Collect sixth year of habitat data in Cold Creek watershed, including vegetation grids, stream canopy shade, water temperature, etc.
  
  WE: 162. Analyze/Interpret Data
  WE Title: Statistical analyses and modeling on 6 years of habitat data
  WE Description: Provide statistical analyses and modeling to determine status and trends through six years of habitat data.
  
  

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4 Metrics Associated With Work Element 162: Analyze/Interpret Data

Metric	Metric Association Status	Last Comment Date	Last Comment By	Unit Type	FY Start	FY End	Required / Optional	Is Activated By Default	Included in PI	Supports PCSRF/PNSHP (Katz)	PNSHP Metric Code	PNSHP Metric
1464: Primary R, M, and E Focal Strategy [Population Status, Hydrosystem, Tributary Habitat, Estuary/Ocean, Harvest, Hatchery, Predation, Multiple Strategies]	Active			RMEFocalAreaList	2005		Required	Yes	No	No
1472: Primary R, M, and E Type [Status and Trend Monitoring, Action Effectiveness Research, Uncertainties Research, Project Implementation/ Compliance Monitoring]	Active			RMETypeList	2005		Required	Yes	No	No
1478: Secondary R, M, and E Type [Status and Trend Monitoring, Action Effectiveness Research, Uncertainties Research, Project Implementation/ Compliance Monitoring]	Active			RMETypeList	2005		Optional	Yes	No	No
1495: Secondary R, M, and E Focal Strategy [Population Status, Hydrosystem, Tributary Habitat, Estuary/Ocean, Harvest, Hatchery, Predation, Multiple Strategies]	Active			RMEFocalAreaList	2009		Optional	Yes	No	No

None

None

Reports that Use this Work Element

This work element and its metrics are used in measures in the following reports. These PDF reports are generated dynamically, always showing you the most up to date information. Most of them also have links to download the underlying data sets to structured text or Excel format.

Stats and Overview