1. Introduction

Any data has a purpose to exist. You do not store data just for the sake of it. So the data must be put together in such a way that it fulfills its purpose.

This is called 'fit for purpose'.

A number of simple questions helps answer the question 'is this data fit for purpose?'

The questions are

  • Is it complete (enough)
  • Is it accurate
  • Is it unbiased
  • Is the data plausible

This mini-web will take you through these questions along with methods to improve the quality and usefulness of the data