TABLE 4.
Tasks and estimated time associated with each task needed to carry out the data management for the impact evaluation of the Chilean Law of Food Labeling and Advertising1
| Task | Responsible | Estimated time, h |
|---|---|---|
| Data entry (for data management) design: basic information registry platform in REDCap, supported by feedback from colleagues | Data manager and colleagues | 4 |
| Training | ||
| Basic information registry platform to project research assistant | Data manager and project research assistant | 1 |
| Basic information registry platform to data entry personnel | Project research assistant; data entry personnel | In-person: 3; at home: 3 |
| Fill in a basic information registry about each unique product (not a photo) collected during the data collection phase that includes year, subcategory,2 photo date, store ID, multipack (yes or no), net content, brand, product name,3 SKU, product manufacturer, number of photo associated with the product, missing photos (yes or no), and blurry photos (yes or no) | Data entry staff | 576 (∼6000 unique products) |
| Clean-up, data management of basic product information registry | Data manager and project research assistant | 40 (∼6000 unique products) |
| Use of basic product information registry to create unique IDs for each unique product in which photos were collected | Data manager | 80 (∼6000 unique products) |
| Re-naming4 and organizing photo files | Data manager and project data entry persons | 840 (∼6000 unique products) |
1
ID, identification; REDCap, Research Electronic Data Capture; SKU, Stock Keeping Unit.
2
Subcategory refers to predefined subcategories.
3
Product name refers to a particular naming standard that assumes training of data entry personnel.
4
Refers to the fact that all photo files can be renamed and organized at once (all before data entry) or concurrent with data entry.