Data completeness

[olisand]

As a Training coordinator, I want to distinguish between courses for which all the data has been provided, and those which are “incomplete”.

• There is no requirement from a TrC user to first upload the courses, but if this is how the system works then it should be clear which metrics were added and which not.
• To be handled by the same platform that will host the code (open-source). GitHub/GitLab/…

[unode]

@olisand The last bullet reads unclear. Does it have additional context?

Propose to show X/Y in the corresponding column instead of "complete"/"incomplete".

Example: Given a course with 30 participants (Y) for which 18 have answered the impact metrics section (X), show 18/30 or simply 18 in the respective metrics column.

[olisand]

@unode Deeply sorry for the very late reply... it is copy/pasted from the google doc we worked in originally. It made sense at the time but it is indeed kind of cryptic now. I guess it means that the formation of completeness should not be provided by each TrC, but calculated by the system.

Regarding your proposition, it could be a good idea to show Y along with X.