Bulk imports
The bulk import function serves two goals:
- analysing multiple recipes at once
- analysing the dietary intake of research participants
For a successful bulk import, you need to prepare a csv file:
Columns: ID,bodyWeight,mealId,mealName,productCode,quantity (use these header names, capital-sensitive)
Rows: One row per recipe ingredient / food item eaten
ID: identifier for the person eating the meal (participant_001) or the group under which recipes fall (such as a meal cycle, Spring 2024)
bodyWeight: bodyweight in kilograms
mealId: identifier for the recipe / mealmoment. The MPQS is calculated on this level. If your database has multiple days per participant, use a daymeal format such as 14022012_1 for the breakfast of 14-2-2012.
mealName: name for the recipe (Vegan stew) or meal (Breakfast)
productCode: foodcode, currently only NEVO codes work
quantity: amount of ingredient/food item in grams
Example csv download here
