Course Details

Training On Mobile Data Collection Using ODK

INTRODUCTION

The Mobile Data Collection Using ODK (Open Data Kit) training course is designed to equip participants with the knowledge and skills to collect, manage, and analyze field data efficiently using mobile devices. ODK is a powerful open-source tool widely used for digital data collection in various sectors, including health, agriculture, education, humanitarian work, and more. It simplifies the process of gathering data, especially in remote locations, by enabling offline data collection and real-time synchronization.

Participants will learn how to design digital surveys, set up mobile devices for data collection, and manage data effectively. This hands-on course will cover everything from basic form creation to advanced data collection workflows using ODK’s features. By the end of the course, participants will be able to streamline data collection processes, improve data accuracy, and reduce the time and costs associated with paper-based surveys.

Whether you're conducting research, monitoring projects, or gathering field data, this course will empower you to harness the full potential of mobile data collection using ODK.

DURATION

5 Days

TARGET AUDIENCE

This course is aimed at organizational staffs who are conducting field data collection activities.

OBJECTIVES

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

1. Understand the fundamentals of mobile data collection and the benefits of using Open Data Kit (ODK).
2. Design and create digital surveys using ODK tools, including ODK Build, XLSForm, and ODK Collect.
3. Configure mobile devices for offline data collection in remote or field environments.
4. Deploy digital forms for data collection and ensure smooth synchronization with ODK Central or Aggregate.
5. Collect and submit data using mobile devices, ensuring accuracy and completeness.
6. Manage and export collected data for analysis, reporting, and sharing with stakeholders.
7. Troubleshoot common issues in the data collection workflow, including form design and data submission errors.
8. Ensure data quality and integrity through validation rules, constraints, and skip logic within forms.
9. Leverage GPS, media capture, and other mobile features to enhance the data collection process.
10. Improve the efficiency and accuracy of data collection efforts for research, project monitoring, and fieldwork.

COURSE OUTLINE

Module 1: Introduction to Mobile Data Collection and ODK

• Overview of mobile data collection: Advantages and challenges
• Introduction to Open Data Kit (ODK) and its components
  • ODK Build, ODK Collect, ODK Central, and ODK Aggregate
• Key use cases for ODK in various sectors (e.g., health, agriculture, research)

Module 2: Getting Started with ODK and Installation

• Setting up the ODK environment
• Downloading and installing ODK tools (ODK Collect, ODK Build, ODK Central/Aggregate)
• Configuring mobile devices for data collection
• Introduction to ODK ecosystem: Collect, Central, and Aggregate

Module 3: Designing Data Collection Forms

• Introduction to form design with ODK Build and XLSForm
• Creating simple and complex forms
• Using different question types (text, numeric, multiple choice, GPS, images)
• Implementing validation rules, constraints, and skip logic for better data quality
• Best practices for designing user-friendly mobile surveys

Module 4: Deploying Forms for Data Collection

• Uploading forms to ODK Central or Aggregate
• Configuring form settings for real-time or offline data collection
• Assigning forms to data collectors
• Preparing devices and synchronizing forms for field data collection

Module 5: Collecting Data with ODK Collect

• Navigating ODK Collect interface and its features
• Filling out and submitting forms in the field
• Using advanced features: GPS tracking, barcode scanning, photo and video capture
• Collecting offline data and syncing to ODK Central/Aggregate once back online

Module 6: Managing Collected Data

• Downloading and exporting collected data from ODK Central/Aggregate
• Data formats: CSV, Excel, JSON, and other export options
• Reviewing data for completeness and quality
• Managing and cleaning datasets for analysis

Module 7: Data Analysis and Visualization

• Importing ODK data into analysis tools (e.g., Excel, R, SPSS)
• Basic data cleaning and management tips for large datasets
• Visualizing data using charts and dashboards (with third-party tools)
• Interpreting data to support decision-making

Module 8: Troubleshooting and Best Practices

• Common issues in ODK and how to resolve them (e.g., form errors, sync problems)
• Managing multiple data collectors and forms in the field
• Ensuring data security and confidentiality during collection
• Backing up data and ensuring data integrity

Module 9: Advanced ODK Features

• Dynamic data collection with cascading selects and repeat groups
• Using external datasets (CSV) in ODK forms
• Automating data workflows with ODK Central
• Integrating ODK with other data management platforms (e.g., Google Sheets, KoboToolbox)

Module 10: Case Studies and Practical Applications

• Real-world applications of ODK in various fields (e.g., disaster management, agricultural surveys, healthcare monitoring)
• Hands-on case study: Designing and deploying a survey, collecting data in the field, and analyzing results

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com