The types of data that can be used by a NIPN
NIPN is unique in that it brings together and values multiple data sources shared by the various sectors that influence nutrition: health, agriculture, water, sanitation and hygiene, social protection, and education, among others.
Typical data that NIPN would use comes from:
- National population-based surveys (which can be representative at sub-national level)
- Demographic and Health Surveys (DHS); Multiple Indicators Cluster Surveys (MICS); National Nutrition Surveys (NNS); Household Incomes and Expenditures Surveys (HIES); Health and Nutrition Expenditures Surveys (HNES); Services Availability and Readiness Assessment (SARA), etc.
- Local population-based surveys (representative of one district/region)
- Nutrition Surveys (SMART); Household surveys; Intervention coverage surveys, etc.
- Programme data
- Routine data collected by each sector
- Monitoring data collected by each sector
- Early warning system data
- Financial data
- Evaluation of budget needed (Nutrition Plan of Action)
- Official commitments for financial investments
- Budget allocation at central and sub-national levels
- Modelling data
This list is not meant to be exhaustive. Each country should explore the wealth of information available. The data landscape exercise is useful for this purpose (see section 3.1).