Open Data Kit (ODK) is revolutionizing Monitoring and Evaluation (M&E) by enabling efficient, real-time, and accurate data collection in diverse development and research contexts. ODK for M&E Training Course equips participants with the skills to design digital surveys, collect high-quality data, and conduct in-depth analysis using mobile and cloud-based tools. Leveraging digital transformation, data accuracy, real-time reporting, and evidence-based decision-making, this course empowers professionals to optimize M&E processes, reduce human error, and improve program outcomes.
This course focuses on hands-on learning, practical field exercises, and case-study-driven examples to ensure participants can translate knowledge into actionable results. By the end of this training, learners will master ODK tools, enhance their data management capabilities, and develop digital monitoring strategies that support accountability, transparency, and impact measurement. This program is designed for M&E practitioners, researchers, and development professionals seeking to leverage mobile data collection technologies to enhance performance monitoring and reporting.
Programme Curriculum
ODK for M&E Training Course
Introduction
Open Data Kit (ODK) is revolutionizing Monitoring and Evaluation (M&E) by enabling efficient, real-time, and accurate data collection in diverse development and research contexts. ODK for M&E Training Course equips participants with the skills to design digital surveys, collect high-quality data, and conduct in-depth analysis using mobile and cloud-based tools. Leveraging digital transformation, data accuracy, real-time reporting, and evidence-based decision-making, this course empowers professionals to optimize M&E processes, reduce human error, and improve program outcomes.
This course focuses on hands-on learning, practical field exercises, and case-study-driven examples to ensure participants can translate knowledge into actionable results. By the end of this training, learners will master ODK tools, enhance their data management capabilities, and develop digital monitoring strategies that support accountability, transparency, and impact measurement. This program is designed for M&E practitioners, researchers, and development professionals seeking to leverage mobile data collection technologies to enhance performance monitoring and reporting.
Course Duration
5 days
Course Objectives
By the end of this training, participants will be able to:
Understand the fundamentals of ODK and digital data collection.
Design and deploy mobile surveys for M&E activities.
Implement real-time data monitoring and automated reporting.
Ensure data quality, validation, and integrity using ODK.
Integrate geospatial and multimedia data for richer insights.
Manage offline data collection and synchronize with cloud servers.
Analyze collected data using Excel, R, or Power BI.
Apply data encryption and security protocols for sensitive information.
Optimize cost-efficiency and time-saving in field data collection.
Develop customized forms and complex questionnaires in ODK.
Utilize case studies to solve real-world M&E challenges.
Leverage automated dashboards and visualization tools for reporting.
Build digital skills and capacity for future M&E innovations.
Target Audience
M&E Officers and Managers
Field Data Collectors
Research Assistants and Analysts
Project Coordinators
Development Practitioners
Program Evaluators
NGOs and CSO Staff
Government M&E Teams
Course Modules
Module 1: Introduction to ODK and Digital Data Collection
Overview of ODK ecosystem and tools
Benefits of digital M&E data collection
Key features of ODK Collect, ODK Build, and ODK Aggregate
Data security and privacy basics
Case Study: Mobile survey adoption in rural health programs
Module 2: Designing ODK Forms for M&E
Creating effective survey questions
Form logic, skip patterns, and constraints
Incorporating multimedia and GPS inputs
Pre-testing and piloting forms
Case Study: Designing household survey forms for nutrition assessment
Module 3: Deploying ODK Surveys
Installing ODK Collect on mobile devices
Uploading and sharing forms via ODK Aggregate
Offline data collection techniques
Synchronizing collected data to the server
Case Study: Collecting field data in remote agricultural projects
Module 4: Data Quality and Validation
Setting validation rules and constraints
Ensuring completeness and consistency
Handling missing or inconsistent data
Real-time monitoring of data quality
Case Study: Reducing data entry errors in school attendance tracking
Module 5: Advanced ODK Features
Geotagging and mapping data
Using multimedia (photos, audio, video) for validation
Advanced calculations in forms
Conditional logic for complex surveys
Case Study: Mapping community water points for infrastructure monitoring
Module 6: Data Management and Storage
Exporting data to Excel, CSV, or statistical software
Managing large datasets
Cloud storage best practices
Backup and disaster recovery strategies
Case Study: Data management workflow in a malaria monitoring project
Module 7: Data Analysis and Reporting
Cleaning and preparing data for analysis
Basic and advanced analysis using Excel, R, or Power BI
Visualization for M&E reports
Automated dashboards and alerts
Case Study: Dashboard reporting for NGO project performance
Module 8: Practical Field Exercise and Case Studies
Hands-on survey deployment in the field
Troubleshooting common ODK issues
Presenting findings from collected data
Peer review and feedback
Case Study: Real-world application of ODK in community health evaluation
Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:
Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.
Register as a group from 3 participants for a Discount
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.