luomus / meta

A meta-repo for adding items that don't belong anywhere else
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Observation data validation #39

Open wkmor1 opened 6 days ago

wkmor1 commented 6 days ago

As (anyone caring about data quality), I want that out of ordinary observations to be tagged automatically, so that

  1. Data can be filtered easily
  2. Data quality can be improved easily

As FIRI project admin, I want to utilize modern AI methods, so that project plan is fulfilled and we stay at the cutting edge.

Sub-cases:

1) As expert I want suspicious observations to be automatically marked to my checklist so I can go over them and do quality control.

2) As expert I want to be able to define and update what counts as a suspicious observation so that the get marked as needing check. (Request from Perhostutkijain Seura)

3) As data user, I want to filter observations based on automatic validation results, so that I get data that is suitable for my use.

4) As observer or data owner, I want to get notifications about possible problems in my observations, so that i can fix them. (Or tell that they are ok.

Requirements: