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.

Learning objectives

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.

Audience

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.

Length

It should take you about 40 minutes to complete this self-paced module. 

Methodology

This is a single, short, self-paced animated module, which includes various examples and activities. 

Structure

Introduction


Lesson 1: The nutrition data value chain within an NNIS

3 mins 


Lesson 2: Identification and prioritization of nutrition issues and indicators

5 mins 


Lesson 3: Collection of data on the priority issues

5 mins


Lesson 4: Aggregation and processing of the data

5 mins


Lesson 5: Analysis of the data

5 mins


Lesson 6: Dissemination of the data

5 mins


Lesson 7: Use of the data

5 mins


Lesson 8: Recap on the data value chain in an NNIS

5 mins

Summary

Suggested prior learning

Module 1: An introduction to NNIS
Module 2: Developing an effective NNIS
Module 3: NNIS data

Contact details

For technical issues, you can contact https://www.nutritioncluster.net/Ask_question