Mobile Data Collection using ONA and KoBo Toolbox .

Introduction

Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs.

ICT tools such as mobile devices and software that allow users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection.

It is with this backdrop that we have designed a 5 days training course in Mobile Data Collection using ONA and KoBo Toolbox.

If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you.

Who Should Attend

This training course is suitable for anyone who is interested in learning how to collect and manage data using mobile devices.

Duration

5 Days

Course Objectives

The course will introduce participants to tools and techniques to collect data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools.

At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting.

Course Content

Module I

Introduction to the course

• M&E Refresher
• ICT refresher
• Introduction to mobile data collection systems architecture.
• Introduction to common mobile based data collection tools, techniques and platform.
• Benefits of mobile data collection.
• Challenges of Mobile Based Data Collection.
• Best Practices.

Module II

Introduction to Survey Authoring/Digitization

• Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms.

Intermediate Survey Authoring/Digitization

• Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms.

Module III

Advanced Survey Authoring/Digitization

• Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms.
• Questionnaire logic.
• Xlsforms troubleshooting
• Converting xlsforms to XML
• XML forms validation

Module IV

Survey Data Hosting

• Setting up an Apps Engine Account
• Setting up ODK aggregate server in a cloud server.
• Setting up ODK Collect for Mobile data collection.
• Uploading XML forms to ODK Aggregate
• Hosting platform quota management.
• Data Visualization and analysis on ODK Aggregate.
• Downloading/extracting data from ODK Aggregate for analysis.
• Mobile device calibration for data collection.
• Managing data collection in the field

Mobile Data Collection Using KoBoToolbox

• How to digitize questionnaires using an easy web-based interface.
• Hosting data on KoBoToolbox.
• Setting up KoBo Collect for mobile data collection.
• Mobile device calibration for data collection.
• Visualizing and analyzing data on KoBoToolbox.
• Downloading/extracting data for analysis.

Module V (GIS)

Spatial Mapping

• Introduction to GIS
• Working with Spatial data (GPS Coordinates)
• Introduction to Fusion Table
• Exporting GPS Coordinates (Google maps) to Fusion tables
• Exporting data to Fusion tables using QGIS
• Converting data to shape files
• Choice of Platform
• Discussion on the Choice of Platform
• Integrating Mobile Data Collection tools into projects

Course Dates

10th to 14th Dec 2018 Course Details – Register Online

14th to 18th Jan 2019 Course Details – Register Online

11th to 15th Feb 2019 Course Details – Register Online

11th to 15th March 2019 Course Details – Register Online

Training Fee

The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT. The course fee covers the course tuition, training materials, two break refreshments, lunch, and

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: [email protected]

Mobile: +254 (0) 729166479

Customized Training

This training can also be customized for your institution upon request. You can have it delivered your preferred location.

For further inquiries, please contact us on details below:

Email: [email protected]

Mobile: +254 (0) 729166479

Introduction

Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs.

ICT tools such as mobile devices and software that allow users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection.

It is with this backdrop that we have designed a 5 days training course in Mobile Data Collection using ONA and KoBo Toolbox.

If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you.

Who Should Attend

This training course is suitable for anyone who is interested in learning how to collect and manage data using mobile devices.

Duration

5 Days

Course Objectives

The course will introduce participants to tools and techniques to collect data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools.

At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting.

Course Content

Module I

Introduction to the course

• M&E Refresher
• ICT refresher
• Introduction to mobile data collection systems architecture.
• Introduction to common mobile based data collection tools, techniques and platform.
• Benefits of mobile data collection.
• Challenges of Mobile Based Data Collection.
• Best Practices.

Module II

Introduction to Survey Authoring/Digitization

• Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms.

Intermediate Survey Authoring/Digitization

• Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms.

Module III

Advanced Survey Authoring/Digitization

• Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms.
• Questionnaire logic.
• Xlsforms troubleshooting
• Converting xlsforms to XML
• XML forms validation

Module IV

Survey Data Hosting

• Setting up an Apps Engine Account
• Setting up ODK aggregate server in a cloud server.
• Setting up ODK Collect for Mobile data collection.
• Uploading XML forms to ODK Aggregate
• Hosting platform quota management.
• Data Visualization and analysis on ODK Aggregate.
• Downloading/extracting data from ODK Aggregate for analysis.
• Mobile device calibration for data collection.
• Managing data collection in the field

Mobile Data Collection Using KoBoToolbox

• How to digitize questionnaires using an easy web-based interface.
• Hosting data on KoBoToolbox.
• Setting up KoBo Collect for mobile data collection.
• Mobile device calibration for data collection.
• Visualizing and analyzing data on KoBoToolbox.
• Downloading/extracting data for analysis.

Module V (GIS)

Spatial Mapping

• Introduction to GIS
• Working with Spatial data (GPS Coordinates)
• Introduction to Fusion Table
• Exporting GPS Coordinates (Google maps) to Fusion tables
• Exporting data to Fusion tables using QGIS
• Converting data to shape files
• Choice of Platform
• Discussion on the Choice of Platform
• Integrating Mobile Data Collection tools into projects

Course Dates

10th to 14th Dec 2018 Course Details – Register Online

14th to 18th Jan 2019 Course Details – Register Online

11th to 15th Feb 2019 Course Details – Register Online

11th to 15th March 2019 Course Details – Register Online

Training Fee

The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT. The course fee covers the course tuition, training materials, two break refreshments, lunch, and

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: [email protected]

Mobile: +254 (0) 729166479

Customized Training

This training can also be customized for your institution upon request. You can have it delivered your preferred location.

For further inquiries, please contact us on details below:

Email: [email protected]

Mobile: +254 (0) 729166479