Mobile Data Collection, Analysis and Mapping with ODK and Kobo Toolbox-Workshop

This training course is designed to equip participants with the skills needed to effectively collect, manage, and analyze data using mobile platforms.

Through a blend of theoretical knowledge and practical application, this course covers the entire process of mobile data collection, from survey design to data analysis and geographic visualization.

Participants will gain hands-on experience with the ODK and Kobo Toolbox platforms, learn how to deploy and manage data collection tools in the field, and explore techniques for mapping and visualizing geographic data.

This course is ideal for professionals involved in research, fieldwork, and any industry where timely and accurate data collection is critical.

Duration

5 days.

Who Should Attend

1. Field researchers and data collectors
2. Development professionals and NGOs
3. GIS specialists and analysts
4. Project managers and coordinators

Organizational Impact

1. Improved accuracy and efficiency in data collection processes
2. Enhanced data management and analysis capabilities
3. Better decision-making through real-time data insights
4. Streamlined project monitoring and evaluation
5. Strengthened capacity for geographic data visualization and mapping

Personal Impact

1. Proficiency in using ODK and Kobo Toolbox for mobile data collection
2. Advanced skills in survey design and data management
3. Ability to analyze and visualize geographic data
4. Competence in deploying and managing mobile data collection tools in the field
5. Enhanced understanding of best practices in mobile data collection and ethical considerations

Course Objectives

1. Understand the fundamentals of mobile data collection and its applications
2. Gain hands-on experience with ODK and Kobo Toolbox platforms
3. Learn to design and deploy surveys for mobile data collection
4. Develop skills in data management, analysis, and visualization
5. Master the integration of collected data with GIS tools for mapping
6. Apply advanced techniques and best practices in mobile data collection

Course Outline

Module 1: Introduction to Mobile Data Collection

1. Overview of mobile data collection and its importance in research and fieldwork
2. Understanding the ODK and Kobo Toolbox platforms
3. Setting up a mobile data collection project
4. Designing surveys and forms using ODK and Kobo Toolbox
5. 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

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

Module 3: Data Management and Analysis

1. Importing and exporting data from ODK and Kobo Toolbox
2. Cleaning and organizing collected data
3. Analyzing data using statistical tools
4. Visualizing data trends and patterns
5. 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

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

Module 5: Advanced Techniques and Best Practices

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

Related Courses

1. International Training Workshop for Research Design, Data Collection Processing and Analysis Course
2. Mastering ERP Systems for Business Intelligence and Analytics
3. Advanced Data Management and Visualization Training Course with Excel
4. Starting a Career in Data Science: Project Portfolio, Resume and Interview Process Training Course
5. CrimeStat for Crime Analysis Training Course
6. Complete Data Protection and Privacy Course

Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. 

In addition to our training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha), we conduct training in the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Dar-es-Salaam, Zanzibar, and Arusha - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Accommodation and airport transfer are arranged upon request.

For reservations, kindly contact us on:

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

This training can also be customized to suit the needs of you or your institution upon request.

You can have it delivered at our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on:

• Email: [email protected]
• Phone: +254715 077 817