Sampling Design, Production of Information, and Data Management
Objectives
This course will give more information about the steps described in Course: Water Quality Parameters and Monitoring Design, particularly on sampling design, production of information, and data management in the water quality monitoring programme.
What you will learn
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Identify appropriate sampling techniques, tools, and data sources for coastal and marine water quality monitoring, including in situ methods and remote sensing applications.
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Understand the fundamentals of data analysis, including time-series analysis, spatial mapping, and the use of common statistical and geospatial tools.
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Apply good practices for water quality data management, including harmonisation, quality assurance and quality control (QA/QC), chain of custody, and documentation.
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Recognise institutional roles, coordination needs, and data-sharing arrangements required for effective national and regional water quality monitoring programmes.
About this course
This module is designed to build practical skills and regional capacity in managing, analysing, and sharing coastal and marine water quality data. Participants will gain knowledge and experience in data analysis and organisation, with a focus on supporting evidence-based decision-making and effective stakeholder engagement in the Caribbean region. The module builds practical understanding of how raw monitoring data are transformed into reliable information that supports evidence-based decision-making, regional cooperation, and long-term coastal and marine water quality management. Participants will be introduced to time-series analysis, spatial mapping, and the use of analysis. The course also introduces remote sensing applications in water quality monitoring and provides guidance on good practices for data reporting, documentation, and visualisation.
Learning Objective
Participants should be able to determine an appropriate sampling design for a water quality monitoring programme, identify relevant data types and tools, estimate basic data management requirements, and recognise key institutions and organisations involved in water quality monitoring and data stewardship.
Features
- Sampling Design
- Production of Information
- Data Management
Target audiences
- Policy Makers
- Private Sector
- General Public
- Students
Requirements
- Water Quality Parameters and Monitoring Design Course
Curriculum
- 6 Sections
- 8 Lessons
- 6 Hours
- What you will learn from this courseThis module will give more information about steps described in Module 1, particularly on sampling design, production of information, and data management in water quality monitoring programme.1
- Intro to Sampling Design, Implementation, and Production of Information1
- Sampling design: Water quality samplingThis is the course description3
- Sampling design: Remote sensing and GIS applications in coastal water quality monitoring2
- Production of Information: Statistical analysis and tools2
- Production of Information: Data management and quality control2
Instructor
I work at the intersection of science and policy to address environmental issues and the triple planetary crises. I’m adept at working in multilateral and cross-cultural environments, particularly in the Global South, where environmental justice and governance are tightly interlinked. With a background in environmental chemistry, engineering, and public affairs, I bring a unique blend of technical expertise and policy insights. My experience spans across environmental management, environmental policy, hazardous chemicals and waste management, and pollution.
