Open Data-Kit (ODK) Course Overview

Open Data-Kit (ODK) Course Overview

The Open Data Kit (ODK) course is designed to provide comprehensive training on the open-source suite of tools that allows data collection using Android mobile devices and data submission to an online server, even without an internet connection at the time of data collection. The course covers various aspects of ODK, from introductory concepts to advanced form design and data analysis.

Module 1 introduces learners to ODK, detailing what it is, its benefits, and features. Module 2 focuses on setting up ODK Collect on Android devices and creating basic forms using XLSForm. Module 3 delves into advanced form design, including branching logic, constraints, and validations, as well as setting up an ODK Aggregate server. Module 4 guides through the data collection process with ODK Collect, while Module 5 equips learners with skills for managing, analyzing, and visualizing collected data.

By the end of the course, participants will be proficient in using the Open Data Kit ODK suite for efficient data collection and analysis, equipping them with practical skills highly sought after in various sectors that rely on field data.

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Successfully delivered 1 sessions for over 2 professionals

Training Advantage
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Successfully delivered 1 sessions for over 2 professionals

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Course Prerequisites

To ensure that you can successfully undertake training in the Open Data Kit (ODK) course, please make sure you meet the following minimum prerequisites:


  • Basic computer literacy: Comfortable with operating computers, navigating file systems, and using web browsers.
  • Familiarity with Android devices: Able to operate and manage settings on Android smartphones or tablets, as ODK Collect is primarily used on these devices.
  • Understanding of basic data concepts: Familiar with the concept of data collection, entry, and the importance of data accuracy.
  • Basic knowledge of Excel or spreadsheets: Comfortable with using spreadsheet software such as Microsoft Excel as it is used for creating XLSForm, which is necessary for form design in ODK.
  • English proficiency: Ability to read and understand instructional materials and lessons presented in English.
  • Internet connectivity: Access to a stable internet connection for downloading software, accessing online resources, and syncing data with ODK Aggregate.

While not mandatory, the following additional knowledge can enhance your learning experience:


  • Some exposure to XML or HTML: Helpful for understanding the structure of forms in ODK, although not required as XLSForm abstracts most of the complexity.
  • Interest in data collection methodologies: A basic understanding of survey or field data collection methods can be advantageous.

Please note that the course is designed to accommodate learners who are new to ODK, and it will guide you through all the necessary steps from basic setup to advanced form design and data management.


Target Audience for Open Data-Kit (ODK)

Learn how to collect, manage, and analyze field data using ODK, ideal for professionals in data-driven roles and field research.


  • Field Data Collectors
  • Survey Coordinators
  • Research Assistants
  • Monitoring and Evaluation Specialists
  • Environmental Scientists
  • Public Health Researchers
  • Humanitarian Aid Workers
  • GIS Specialists
  • Agricultural Extension Workers
  • Program Managers
  • IT Support Staff for Nonprofits/NGOs
  • Data Analysts
  • Database Managers
  • Project Coordinators/Managers in Development Sectors
  • Social Scientists
  • Conservation Biologists
  • Urban Planners


Learning Objectives - What you will Learn in this Open Data-Kit (ODK)?

Introduction to the Course's Learning Outcomes:

This Open Data-Kit (ODK) course equips learners with the essential skills to design, deploy, and analyze surveys using ODK tools for effective data collection and management.

Learning Objectives and Outcomes:

  • Understand the fundamentals of Open Data-Kit (ODK) and its benefits in data collection processes.
  • Learn to install and configure ODK Collect on Android devices for field data acquisition.
  • Gain proficiency in creating basic to complex forms using XLSForm, including branching logic and validation constraints.
  • Develop skills to set up an ODK Aggregate server for form management and data aggregation.
  • Master the process of form filling, data submission, and management of geospatial data using ODK Collect.
  • Troubleshoot common issues encountered during data collection with ODK tools.
  • Acquire the ability to manage and synchronize collected data with ODK Aggregate, ensuring data integrity and security.
  • Analyze and visualize collected data using various tools and techniques for insightful reporting.
  • Export collected data to different formats such as CSV and Excel for further analysis.
  • Integrate collected data with analysis software (e.g., Excel, R, Python) for advanced data manipulation and visualization.

Technical Topic Explanation

ODK Collect

ODK Collect is part of the Open Data Kit (ODK), a set of tools to help organizations collect, manage, and use data more effectively. With ODK Collect, users can download forms to their mobile devices, gather data in various formats like text, numbers, photos, GPS locations, and more, even without an internet connection. Once back online, the data can be uploaded to a server for storage and analysis. This makes ODK Collect ideal for field data collection in remote or challenging environments. It's widely used in sectors like health, environmental conservation, and humanitarian aid.

XLSForm

XLSForm is a form standard used to design surveys for Open Data Kit (ODK), a set of tools for collecting and managing data. XLSForm helps users convert simple spreadsheets into complex forms, making it easier to gather data on mobile devices. These forms can include various question types, validations, and conditional logic, which streamline the data collection process. This is particularly useful in environments with limited internet connectivity, as it enables efficient data management and analysis.

Advanced form design

Advanced form design involves creating detailed digital forms that are both user-friendly and functional. These designs can incorporate various elements like conditional logic, which shows or hides questions based on previous answers, multi-part forms that are broken into sections, and integration capabilities, allowing data to seamlessly flow between different systems. Advanced forms are often used in platforms like Open Data Kit (ODK), where they enable efficient data collection, management, and analysis. The goal is to enhance user interaction, improve data quality, and streamline processes in data-intensive environments.

Branching logic

Branching logic in technology refers to the decision-making process in programming where the flow of execution changes based on conditions set within the code. It allows different actions or outputs to be executed, depending on whether certain conditions are met or not. This is fundamental in creating dynamic and interactive applications, enabling software to respond differently in various scenarios. Commonly used in surveys and forms, branching logic helps in personalizing user interactions by displaying relevant questions or options based on previous answers.

Constraints

Constraints in technology typically refer to limitations or restrictions that dictate how a system operates. They can be related to hardware, such as processing power or memory capacity, software, like program rules or user permissions, or even external factors like regulations or compliance requirements. Understanding and managing these constraints is crucial for effective system design, ensuring performance and functionality while adhering to necessary specifications and requirements.

Validations

Validations in technology ensure that the data entered into a system meets specific criteria before it is accepted. This process helps to prevent errors and maintain the integrity of data. Effective validations can verify that the information is in the correct format, within acceptable limits, and consistent with other data. They are crucial in databases, web forms, and any digital system where data accuracy is essential. By implementing strong validation rules, systems are safeguarded against incorrect or malicious data entry, improving reliability and functionality.

ODK Aggregate server

ODK Aggregate server is a component of the Open Data Kit (ODK) ecosystem, designed for storing, analyzing, and managing data collected via ODK forms. As a server application, it allows users to aggregate data submitted from ODK Collect, enabling efficient data management and visualization. This server can be hosted on various platforms including cloud services and local servers, offering flexibility to meet different project needs. ODK Aggregate supports various data export formats and integrates smoothly with other data analysis tools, making it a key solution for handling large-scale data collection projects in diverse environments.

Data collection process with ODK Collect

The data collection process with ODK Collect involves using the Open Data Kit (ODK) tool to gather and manage data efficiently. Users first design a form or survey in ODK Build or similar platforms, then upload it to the ODK Aggregate server. ODK Collect on mobile devices allows field workers to download these forms, collect data offline, and submit it once an internet connection is available. This system is essential for capturing accurate and timely data in various settings, from healthcare to environmental research, streamlining data gathering and analysis processes effectively.

Data analysis

Data analysis is the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. It involves using statistical and computational methods to solve problems, reveal trends, and make predictions based on data. This field spans a variety of industries, including business, health, science, and technology, where insights gained from data analysis can significantly influence strategies and operations.

Target Audience for Open Data-Kit (ODK)

Learn how to collect, manage, and analyze field data using ODK, ideal for professionals in data-driven roles and field research.


  • Field Data Collectors
  • Survey Coordinators
  • Research Assistants
  • Monitoring and Evaluation Specialists
  • Environmental Scientists
  • Public Health Researchers
  • Humanitarian Aid Workers
  • GIS Specialists
  • Agricultural Extension Workers
  • Program Managers
  • IT Support Staff for Nonprofits/NGOs
  • Data Analysts
  • Database Managers
  • Project Coordinators/Managers in Development Sectors
  • Social Scientists
  • Conservation Biologists
  • Urban Planners


Learning Objectives - What you will Learn in this Open Data-Kit (ODK)?

Introduction to the Course's Learning Outcomes:

This Open Data-Kit (ODK) course equips learners with the essential skills to design, deploy, and analyze surveys using ODK tools for effective data collection and management.

Learning Objectives and Outcomes:

  • Understand the fundamentals of Open Data-Kit (ODK) and its benefits in data collection processes.
  • Learn to install and configure ODK Collect on Android devices for field data acquisition.
  • Gain proficiency in creating basic to complex forms using XLSForm, including branching logic and validation constraints.
  • Develop skills to set up an ODK Aggregate server for form management and data aggregation.
  • Master the process of form filling, data submission, and management of geospatial data using ODK Collect.
  • Troubleshoot common issues encountered during data collection with ODK tools.
  • Acquire the ability to manage and synchronize collected data with ODK Aggregate, ensuring data integrity and security.
  • Analyze and visualize collected data using various tools and techniques for insightful reporting.
  • Export collected data to different formats such as CSV and Excel for further analysis.
  • Integrate collected data with analysis software (e.g., Excel, R, Python) for advanced data manipulation and visualization.