Data collection, analysis and validation

This one-day, thematic course gives you a practical introduction to data assessment, validity checking, and understanding the flow from sampling and transport to analysing data. You are introduced to how to interpret water quality data in order to avoid misunderstandings and wrong decisions based on false interpretation of data.

Water quality assessments are carried out all over the world and most systems are well structured, and with a variety of sampling frequencies. However, it is often seen that the management carried out on the basis of the analytical data are not taking the understanding of water quality variables into account.

Most users of water quality or quantity data take the value for granted and may use the data for large-scale projects, followed by large-scale financial investments. However, data should be used with great care to avoid taking decisions on false data.


  • Management and legislative background for water quality management
  • Scientific background of concepts of water quality and water management
  • Different types and systems for monitoring and reporting on water quality
  • Choosing sample stations
  • Sample representativeness of, for example, river or lake
  • Sampling and transport to laboratory
  • Choosing the right laboratory
  • Errors in data reporting
  • Pitfalls and troubleshooting
  • Hands-on exercises


Professionals working with water quality data, either as authorities or consultants. The typical professional is an engineer, biologist, geographer, or other natural science professional.

If you are working with models from the MIKE family for rivers and lakes, the understanding of water quality data and monitoring is a prerequisite for being capable to use model outputs for water management.