Cover image: © UNICEF/UN0
This is Module 4 in a four-module short course about NNIS.
This module explores the main attributes, data and data processes, that form the data value chain within an NNIS. These attributes are: identification and prioritization of nutrition issues and indicators; collection of data on the priority issues; aggregation and processing of the data; analysis of the data; dissemination of the data; and use of the data.
By the end of this module, you will be able to:
- Descibe a nutrition data value chain,
- List the six main attributes of an NNIS,
- Describe key features of each of the six main attributes of an NNIS,
- Consider key questions related to the main attributes.
This is an advanced-level module aimed at anyone who is interested in furthering their skills and knowledge in nutrition cluster coordination or innutrition information management in humanitarian contexts, and who needs to coordinate and collaborate with the humanitarian architecture on this topic. It is part of the recommended learning path for national nutrition cluster coordinators and information management officers aiming to progress to senior-level roles.
It should take you about 40 minutes to complete this self-paced module.
This is a single, short, self-paced animated module, which includes various examples and activities.
Lesson 1: The nutrition data value chain within an NNIS
Lesson 2: Identification and prioritization of nutrition issues and indicators
Lesson 3: Collection of data on the priority issues
Lesson 4: Aggregation and processing of the data
Lesson 5: Analysis of the data
Lesson 6: Dissemination of the data
Lesson 7: Use of the data
Lesson 8: Recap on the data value chain in an NNIS
Suggested prior learningModule 1: An introduction to NNIS
Module 2: Developing an effective NNIS
Module 3: NNIS data
For technical issues, you can contact https://www.nutritioncluster.net/Ask_question