Mobile Data Collection using ODK and KoboToolbox Training Course

This course equips participants with practical skills to design, deploy, and manage mobile data collection systems using ODK (Open Data Kit) and KoboToolbox. It focuses on digital survey design, form building, data collection in field environments, data quality assurance, and real-time reporting. Participants will learn how to replace paper-based systems with efficient, scalable, and reliable digital data collection tools for humanitarian and development work.

Target Groups

• Monitoring and Evaluation (M&E) officers
• Humanitarian and NGO field staff
• Data collection and research teams
• Project and program managers
• Government statistics and planning officers
• Public health and survey teams
• Consultants in data and research
• Students in social sciences, statistics, and development studies
• Anyone involved in field surveys and data collection
• IT and data support staff in organizations

Course Objectives

By the end of this course, participants will be able to:

• Understand principles of mobile data collection systems
• Design digital forms using ODK and KoboToolbox
• Deploy surveys to mobile devices for field use
• Collect and manage data in real time
• Ensure data quality and validation in surveys
• Use skip logic, constraints, and advanced form features
• Sync and manage datasets securely
• Analyze and export collected data
• Improve efficiency of field data collection processes
• Apply ethical standards in digital data handling

Course Modules

Module 1: Introduction to Mobile Data Collection

• Evolution from paper to digital data collection
• Overview of ODK and KoboToolbox
• Advantages of mobile data systems
• Use cases in humanitarian and development work
• System requirements and setup

Module 2: Introduction to KoboToolbox Platform

• Creating a KoboToolbox account
• Navigating the Kobo interface
• Project setup and management
• Form library and templates
• User roles and permissions

Module 3: Form Design and Questionnaire Development

• Principles of good questionnaire design
• Question types (text, multiple choice, numeric, etc.)
• Building surveys in KoboToolbox (Form Builder)
• Skip logic and relevance conditions
• Validation rules and constraints

Module 4: Advanced Form Features

• Calculations and scoring systems
• Cascading questions (lists and dependencies)
• Grouping and repeating sections
• GPS, images, and multimedia capture
• Language and translation features

Module 5: Data Collection using ODK Collect App

• Installing ODK Collect on mobile devices
• Connecting forms to devices
• Offline data collection
• Syncing data to server
• Troubleshooting field issues

Module 6: Data Quality Assurance

• Real-time validation techniques
• Reducing errors in field data
• Enumerator training and supervision
• Data consistency checks
• Handling missing or incorrect data

Module 7: Data Management and Export

• Viewing collected submissions
• Exporting data to Excel, CSV, SPSS formats
• Cleaning and organizing datasets
• Managing large datasets
• Data security and backup

Module 8: Basic Data Analysis and Visualization

• Introduction to Kobo data dashboards
• Basic analysis in Excel
• Creating charts and summaries
• Interpreting survey results
• Reporting findings

Module 9: Field Deployment and Project Management

• Planning field data collection exercises
• Managing enumerator teams
• Coordination and supervision strategies
• Monitoring field progress in real time
• Handling field challenges

Module 10: Capstone Project and Case Studies

• Full digital survey design and deployment
• Field simulation exercise using ODK
• Data analysis and reporting project
• Real-world humanitarian survey case studies
• Emerging trends in mobile data collection, AI-assisted survey design, real-time analytics dashboards, geospatial data integration, and cloud-based humanitarian data systems