Yes, it is possible to import study data with missing information.
To assign data as missing before importing, you can enter the value ##USER_MISSING_99## in the appropriate cell.
This will import the value -99 for this field.
Replace 99 with any of the other values that are used for missing data:
- Measurement failed (-95)
- Not applicable (-96)
- Not asked (-97)
- Asked but unknown (-98)
- Not done (-99)
Please note, it is not possible to import User missing information for following fields:
- grid fields