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comses / miracle

Repeatable data analysis workflows for computational models
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demo workflow #33

Closed alee closed 8 years ago

alee commented 8 years ago
  1. Create a new project, set project short name or use auto-assigned one
  2. Upload a project archive (briefly introduce project archive requirements: folder layout, packrat tool)
  3. Annotate data columns (brief introduction of backend grouping process)
  4. Annotate scripts (automatically pull metadata from script: parameters, package dependency, source dependency), view scripts content, download scripts
  5. Execute analysis with parameters, view results, shares, comments, etc.
  6. Publish project
  7. Navigate to other projects (view comments, activity stream, etc)
  8. Admin functions (activate scripts, delete comments, etc)
warmdev commented 8 years ago
  1. Create a new project on MIRACLE and get the project short name
  2. Upload a project archive (brief introduction of the requirements for project archive: folder layout, packrat tool)
  3. User annotates data columns (brief introduction of backend grouping process)
  4. User annotates scripts (automatically pull metadata from script: parameters, package dependency, source dependency), views scripts content, downloads scripts
  5. User executes analysis with parameters, views results, shares, comments, etc.
  6. User explores data with the data explorer
  7. User publishes project
  8. User navigates other projects (view comments, activity stream, etc)
  9. Admin functions (activate scripts, delete comments, etc)