Training Course on ODK for monitoring and evaluation


Training Course on ODK for monitoring and evaluation

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Introduction

Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs.
ICT tools such as mobile devices and software that allows 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 and M&E.
If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants to work with spatial data.
Who Should Attend?
The course is designed for different representatives: government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc., that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers.
Duration
5 Days
Course Objectives
The course gives the participants the knowledge, tools and techniques to gather data for project/programme using innovative Mobile data gathering Technology.
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

a.      M&E and Mobile data collection

b.      Benefits of Mobile data collection for M&E

c.       Introduction to common mobile based data collection platforms

d.     Challenges of Mobile Based Data Collection

e.      Data aggregation, storage, and dissemination

Module II

a.      Overview of available mobile phone-based data collection platforms.

b.      Types of questions and their data types.

c.       Questionnaire/Form logic

d.     Extended data types geoid, image, and multimedia

e.      Survey Authoring

f.        Design forms using a web interfaces using:

i.                    Hands-on Exercise

ii.                  ODK Build

iii.               KoboToolBox

g.       Preparing mobile devices for data collection

h.      Installing application: ODK Collect

i.        Configuring the device (Mobile Phones)

j.        Uploading the form into the mobile devices

k.      Hands-on Exercise

Module III

a.      Advanced survey Authoring: XLSForms

b.      Introduction to XLSforms syntax

c.       New data types

d.     Notes and dates

e.      Multiple choice Questions

f.        Multiple Language Support

g.      Hints and Metadata

h.      Hands-on Exercise

i.        Conditional Survey Branching

j.        Required questions

k.      Constraining responses

l.        Skip: Asking Relevant Questions

m.   The specify other

n.      Grouping questions

o.      Skipping many questions at once (Skipping a section)

p.     Repeating a set of questions

q.      Special formatting

r.       Making dynamic calculations

Module IV

a.      Hosting survey data: Cloud Hosting

b.      Google Apps Engine

c.       ODK Aggregate

d.     KoboToolbox

e.      Formhub

f.        Hosting Survey Data: Local Server Hosting

g.      Configuring ODK Aggregate on a local server

h.      Downloading data

i.        Manual download (ODK Briefcase)

j.        Using the online server interface

k.      Hands-on Exercise

Module V (GIS)

a.      Introduction to GIS

b.      Working with Spatial data (GPS Coordinates)

c.       Spatial Mapping

d.     Introduction to Fusion Table

e.      Exporting GPS Coordinates (Google maps) to Fusion tables

f.        Exporting data to Fusion tables using QGIS

g.      Converting data to shape files

h.      Hand-on Exercise

i.        Choice of Platform

j.        Discussion on the Choice of Platform

k.      Integrating Mobile Data Collection tools into projects

Methodology

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

Key Notes

i. The participant must be conversant with English.

ii. Upon completion of training the participant will be issued with an Authorized Training Certificate

iii. Course duration is flexible and the contents can be modified to fit any number of days.

iv. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate upon successful completion of Training.

v. One-year post-training support Consultation and Coaching provided after the course.

vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

We also offer online training.

Course Fee: Ksh 80,000, USD 900

Contact Us
Mobile No: +254724527104/ +254734969612

Email Add: [email protected]

Postal Add: 5402-00100

Head Office: Comet House , Along Monrovia Street, Nairobi, Kenya

Visit our website:www.datastatresearch.org

To register for this event email your details to datastatresearch1@gmail.com

Register using webmail: Gmail / AOL / Yahoo / Outlook

 

Date And Time

2021-05-24 to
2021-05-28
 

Location

Online Event
 

Event Types

 

Event Category

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