Data collection and data quality

Design collection tools and routines that produce data you can trust, and check its quality before it reaches a report.

Five navy and brass cylinders of increasing height standing in a row like a bar chart, beside a magnifying glass and a navy notebook on an oak desk

What you will be able to do

  • Design forms and questionnaires that collect what is needed and nothing more
  • Plan collection, including sampling basics and supervision
  • Protect personal data throughout the process
  • Check data quality and correct problems at the source

Who it is for

  • M&E and statistics officers
  • Survey and field coordinators
  • Managers of administrative registers

Prerequisites

  • None

Program

What to collect

  • From the question to the variables
  • Administrative data, surveys and other sources
  • Avoiding collection nobody uses

Designing tools

  • Clear questions and response options
  • Paper and digital forms
  • Testing a tool before use

Organising collection

  • Sampling basics for non-statisticians
  • Training and supervising data collectors
  • Personal data protection and consent

Quality

  • Validation rules and range checks
  • Spot checks and back-checks
  • A data quality report

How we work

  • Critique and redesign of real forms
  • A short field test of a questionnaire among participants
  • Quality checks on a training dataset