Course Outline

Module 1: Introduction to Mobile Data Collection

• Overview of mobile data collection and its importance in research and fieldwork
• Understanding the ODK and Kobo Toolbox platforms
• Setting up a mobile data collection project
• Designing surveys and forms using ODK and Kobo Toolbox
• Case Study/Practical Component: Creating a survey form for a real-world data collection project using ODK or Kobo Toolbox

Module 2: Configuring and Deploying Mobile Data Collection Tools

• Configuring mobile devices for data collection
• Deploying surveys to mobile devices
• Managing and monitoring data collection in the field
• Troubleshooting common issues during data collection
• Case Study/Practical Component: Simulating a field data collection exercise, deploying a survey, and troubleshooting issues

Module 3: Data Management and Analysis

• Importing and exporting data from ODK and Kobo Toolbox
• Cleaning and organizing collected data
• Analyzing data using statistical tools
• Visualizing data trends and patterns
• Case Study/Practical Component: Analyzing a dataset collected from a mobile survey, focusing on data cleaning, analysis, and visualization

Module 4: Mapping and Geographic Data Visualization

• Introduction to geographic information systems (GIS) and mapping
• Integrating collected data with GIS tools
• Creating maps from survey data
• Visualizing geographic data in Kobo Toolbox and other GIS platforms
• Case Study/Practical Component: Mapping survey data to visualize geographical patterns using GIS software

Module 5: Advanced Techniques and Best Practices

• Customizing forms and surveys for complex data collection
• Using advanced ODK and Kobo Toolbox features
• Ensuring data security and ethical considerations
• Best practices for mobile data collection and management
• Case Study/Practical Component: Developing a comprehensive mobile data collection plan, incorporating advanced features and best practices for a hypothetical field project