Developing a Quality Assurance Plan

Author: Nicolas R. Malloy

Table of Contents

  1. Developing a Quality Assurance Plan
  2. Skill Drill: Setting up your Workspace
  3. The Elements of Geospatial Data Quality
  4. Creating a quality assurance checklist
  5. Implementing your Quality Assurance Plan
  6. Implementing Quality Control with Tabular Data
  7. Skill Drill: Implementing Quality Control with Tabular Data

Estimated time to complete this tutorial: 6 hours

Some readers have trouble understanding the importance or necessity of having a quality assurance plan. Why is it important? After some experience working in an organization with multiple employees, it will soon become clear that good quality assurance and quality control (QAQC) practices help with the following:

  • Determine if acquired geospatial data is fit for use
  • Ensures the production of quality geospatial data
  • Supports good decisions
  • Saves time and money
  • Provides accuracy and accountability

For the GIS technician, it helps to free up time because less re-work needs to be done. This frees the GIS technician to focus on other tasks. For the GIS manager, it promotes effective stewardship of the data and increases productivity. A quality assurance plan may be applied during:

  • the acquisition of data
  • data conversion
  • data migration
  • daily maintenance
  • major revisions

Learning Outcomes

Readers should be able to accomplish the following outcomes by the end of this tutorial:

  • Summarize the steps for creating and organizing a project workspace folder structure
  • Illustrate the ability to download data from a public source
  • Describe the elements of geospatial data quality
  • Develop a data quality assurance plan for acquiring data
  • Identify errors in tabular data
  • Correct errors in tabular data