The Project Overview Dashboard

Project Dashboard.png

Above is the Rhino FCP Project Overview Dashboard. It is made up of two important sections: the Projects Steps section and the Recent Activities section.

 

Viewing a Project's Status

Project Dashboard-Project Steps.png

Here is the overall Project Steps diagram. It is made up of six high-level steps:

  1. Project Definition: This step was completed when you created the project so if you are seeing this screen, you have already created a project definition
  2. Collaborator: This step involves adding another individual or organization to your projects so that you may work together to perform federated actions
  3. Data Schemas: This step involves defining a Data Schema or structure for the data that your will import as a cohort into the project
  4. Datasets: This step involves importing one or more Dataset into the project so that it may be used for analysis, annotation, or ML model training.
  5. Code: This step involves creating the computational operations that will be performed within the project.
  6. Code Runs: This step involves running a code object. Logs and output datasets are produced during this step.

Your Project Steps diagram will start out appearing with only one item complete, which is the Project Definition.  As you complete items within the project, items will be marked with a green circle with a checkmark in it (Project Dashboard-Project Steps-Step Complete.png) and the text below may be modified to tell you how many of the certain objects have been created (i.e., Datasets (2), your project has two datasets).  Project steps that have not yet been completed will be marked with a blue circle with a plus sign in it (Project Dashboard-Project Steps-Step Not Started.png).

 

View Recent Project Activities

Project Dashboard-Recent Activity.png

The Recent Activities section shows actions that have been performed within the project.  Each item will tell you what was performed, who performed it, and at what time the action took place.  This is a great tool for traceability should you require such detailed logs in your use case.

 

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