ICAR Research Data Repository for Knowledge Management
Creating a lean, reliable, and scalable platform for highfrequency data on diet quality in Rwanda
CGSpace
View Archive Info| Field | Value | |
| Title |
Creating a lean, reliable, and scalable platform for highfrequency data on diet quality in Rwanda
|
|
| Creator |
Manners, Rhys
Adewopo, Julius |
|
| Subject |
food security
nutrition data food systems monitoring and evaluation rwanda |
|
| Date |
2022
2023-01-16T12:00:20Z 2023-01-16T12:00:20Z |
|
| Type |
Book Chapter
|
|
| Identifier |
Manners, R. & Adewopo, J. (2022). Creating a lean, reliable, and scalable platform for highfrequency data on diet quality in Rwanda. In Global Diet Quality Project. 2022, Measuring what the world eats: insights from a new approach. Geneva: Global Alliance for Improved Nutrition, (p. 26-27).
https://hdl.handle.net/10568/127192 NATURAL RESOURCE MANAGEMENT |
|
| Language |
en
|
|
| Rights |
CC-BY-4.0
Open Access |
|
| Format |
26-27
application/pdf |
|
| Publisher |
Global Alliance for Improved Nutrition
|
|