09/29/2026
Collecting water quality data is only the beginning. What happens next is what makes it useful.
A new case study from the Technical Working Group for Sensor-Based Water Quality Monitoring explores what it takes to turn water quality monitoring into meaningful action, featuring work from Global Water Center, Water, , and .
The case study highlights GWC’s Risk-Based Water Quality Management and Monitoring course as a foundation for training and capacity building in water quality monitoring.
Our first cohort brought together 222 participants from 58 countries and 110 organizations. Participants highlighted how directly applicable the course content was to their work and how data-driven monitoring can inform better decisions.
A few lessons from the case study:
💧 Data collection is only the beginning: Safe water depends on the full cycle: Collect → Manage → Interpret → Report → Act → Improve.
💧 A phased approach helps: Breaking data use into immediate, short-term, and longer-term actions helps teams prioritize and avoid becoming overwhelmed.
💧 Challenges are predictable: Logistics, parameter selection, resources, and human capacity are common barriers. Planning for them early can make programs more resilient.
💧 People sustain the system: Effective monitoring requires the right skills, clear roles, ongoing training, and support over time. Capacity building can’t be a one-time workshop.
We’re grateful to contribute to this community of practice and to see the experiences of our first course cohort reflected in this case study.
Read the case study:
A specialized training program designed to teach professionals how to plan, conduct, and analyze sanitary inspections and water assessment