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@fdiwg

fdiwg

Fisheries Data Interoperability working group

The fdiwg is a set of open and collaborative repositories to foster the Fisheries Data Interoperability (FDI) open initiative. It is working environment to shape standards and implementation guidelines to facilitate fisheries data exchange. The initiative is supported by two governance schemes at international level: 1) the Coordinating Working Party on fishery statistics in particular the Task Group on Reference harmonization - TG-RH - and the Task Group on Geospatial - TG-Geospatial; and 2) the Fishery Resources Monitoring System

The fdiwg includes both digital data resources and supporting tools.

The digital data resources are structured into four main repositories:

  • fdi-terms: referencing a list of fishery preferred terms, applicable for fishery concepts and their definitions, to be used as basis for data exchange, but also for dissemination
  • fdi-codelists: referencing all code lists (including CWP standard code lists) and their metadata.
  • fdi-mappings: referencing all mappings between code lists, including:
  • fdi-formats: referencing digital format specifications to be used as basis for data templating, validation and submission in data collection frameworks use cases piloted through the FIRMS dcf-shiny platform.

The supporting tools currently under development include at this stage:

  • R packages
    • fdi4R R package with a set of utilities
    • vrule R package to support data validation rules based on fdi-formats digital specifications
    • artfishr R package to support Artfish implementation
    • repfishr R package to support countries regional and global reporting
  • R shiny applications
    • dcf-shiny R Shiny application in support of Data Collection Frameworks and underlying data calls management, data validation & submission. The application relies on the vrule R package for data validation.
    • dcf-dashboard R shiny application to show data availability from databases built on dcf-shiny. Applied to
    • smt-shiny R Shiny application for Stock monitoring tools, developed by FAO, is available to the global community and hosted via remote computational facilities with considerable processing resources. This tool was designed to allow users with little to no programming experience to run methods developed for data-limited situations to evaluate and monitor the sustainability of fish stocks.

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  1. dcf-dashboard-wecafis dcf-dashboard-wecafis Public

    R 1 1

  2. dcf-shiny-editor dcf-shiny-editor Public

    Data editor/validator standalone R shiny app

    1

  3. artfishr artfishr Public

    R package in support to ArtFish methodology

    R 1

  4. dcf-dashboard-gta dcf-dashboard-gta Public

    R 1

  5. dcf-shiny dcf-shiny Public

    A shiny app in support of data collection frameworks

    R 1

  6. fdi-codelists fdi-codelists Public

    FDI codelists

    R 3

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