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This module provides an introduction to the tools, processes and best practice for primary data collection. It explores the importance of disaggregating data and ensuring that data collection is carried out ethically and safely. This module is introductory; it does not provide all the detail needed to collect primary data as part of a response. For example, most clusters / sectors /AoR cover the collection of primary data as part of training for conducting needs assessments that lasts about 5 days. Whilst our focus for primary data collection is often on needs assessment, remember that primary data is also needed for other processes in the programme cycle such as response monitoring, and evaluation.

Learning objectives

By the end of this module, you will be able to:

  • Compare different methodologies and tools for collecting qualitative and quantitative data 
  • Plan primary data collection 
  • Describe good practices to make data collection effective 
  • Recognize the importance of collecting Sex, Age and Disability Disaggregated Data (SADDD)
  • Reflect on your experiences of data collection and consider ways in which you could improve your practice

Audience

This module is suitable for anyone who is interested developing their knowledge and skills for information management in humanitarian contexts, including those who need to engage with coordination and humanitarian architecture on this topic.

Length

It should take you about 50 minutes to complete this self-paced course. 

Methodology

This course is composed of a single short self-paced animated module, including various examples and activities. 

Structure

Introduction

Lesson 1: Data collection methodologies and tools
Lesson 2: Planning data collection
Lesson 3: Disaggregating data 
Lesson 4: Reflection 

Summary

Suggested prior learning

  • Introduction to the role of the IMO 
  • Introduction to needs assessment for the IMO 
  • Secondary Data Reviews 
  • Defining indicators and targets 
  • Collating and cleaning data

Suggested further learning

  • Data Analysis 
  • Multi-sectoral and intersectoral needs assessments 
  • Child participation principles, methods and tools