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Daugava #21

@MarkusKonk

Description

@MarkusKonk

Please use the comment section below. No mailing will be necessary and the entire communication is in one place. Individual persons can be pinged using, for instance, @MarkusKonk

URLs

URL to input datasets: https://doi.org/10.5281/zenodo.15234377
URL to GitHub: https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize
Data-to-Knowledge Package: https://doi.org/10.5281/zenodo.14830529

Commands for running Docker commands:

https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize?tab=readme-ov-file#running-functions-via-docker

Checklist

  • Input data is identified and/or accessible via DDAS
    • Input data is made accessible under an open license
  • Analysis code is available on GitHub
    • Analysis code is made accessible under an open license
  • Workflow is sketched
  • Analysis is split into reusable functions
    • Input parameters are identified
    • functions follow input - processing - output - logic
    • input data can be passes via URL
    • output data is stored in file, e.g., csv, json etc.
  • Reusable functions are saved in separate files
  • Runtime, libraries, and library versions identified
  • R commands are added to README
  • Analysis is dockerized
  • Docker commands are added to README
  • OGC API Processes created locally
    • python scripts created
    • titles and descriptions for input parameters added to json
  • OGC API Processes deployed on server
  • Tests successful
  • Galaxy tool created locally
  • Galaxy tool deployed on server
  • Tests successful
  • Workflow is complete

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Partly done

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