Course Overview

This training course on Installation, Use and Management of OPENHDS & ODK offers an in-depth exploration of OPENHDS and ODK, two essential tools for effective data collection and management in health and demographic research. Designed for data managers, IT professionals, and field researchers, this training will provide you with the skills needed to set up, utilize, and maintain these systems efficiently.

Who Should Attend?

• Data Managers: Oversee complex data processes with ease.
• IT Professionals: Handle system configurations and troubleshooting.
• Field Researchers: Conduct efficient and accurate data-driven research.

Course Objectives

• Installation Mastery: Acquire comprehensive skills to install OPENHDS and ODK effectively.
• Operational Proficiency: Utilize these tools to their full potential for data collection and analysis.
• System Management: Develop robust strategies for maintaining and securing data systems.

Course Modules

Module 1: Introduction to OPENHDS & ODK

• Understanding the Tools: Explore the functionalities and benefits of OPENHDS and ODK.
• System Requirements: Identify necessary prerequisites for optimal operation.
• Real-World Applications: Analyze case studies that demonstrate successful implementation.

Module 2: Installation and Configuration

• Comprehensive Installation Guide: Follow a detailed walkthrough of the installation process.
• Configuration Best Practices: Optimize system settings for enhanced performance.
• Troubleshooting: Address common installation issues with confidence.

Module 3: Advanced Data Collection Techniques

• Designing Effective Surveys: Create user-friendly and comprehensive data collection forms.
• Ensuring Data Accuracy: Implement validation techniques for reliable data entry.
• Offline Capabilities: Utilize ODK for remote data collection without connectivity.

Module 4: Data Management and Analytics

• Exporting and Integrating Data: Seamlessly transfer data for in-depth analysis.
• Dashboard Creation: Develop intuitive dashboards for visual data interpretation.
• Advanced Analytics Tools: Leverage tools for complex data analysis and insights.

Module 5: Maintenance, Security, and User Management

• Routine Maintenance Procedures: Keep your systems running smoothly with regular checks.
• Data Security Protocols: Ensure data protection and privacy.
• User Access Management: Control system access and define user roles effectively.