Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS in Nairobi

Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS

Introduction

Evidenced based policies for sustainable development and better lives call for better data. Improving the capacity of people involved in data collection, analysis and report writing in ensuring quality data is of significance. Following the changing data environment from use of paper in capturing data to use of digital innovation, there is need to train actors involved in data collection to help them adapt to the upcoming innovations and technologies. Some of the data that are collected through the new technologies include geospatial data, mobile phone, administrative data and citizen-generated data among others. This 10 days course will equip participants with knowledge on research design, designing data collection tools in mobile data collection enabled software, GIS and remote sensing, exporting data to various data collection software, data analysis and interpretation.

Duration

10 days

Who should attend?

Policy makers
Researchers
NGO and civil society staffs
Educators
Post graduate students
Private sector representatives
Media staffs
Civil Society Organizations
Learning Objectives

At the end of training participants will:

Understand various data collection techniques and data processing methods
Design data collection tools in google phone/ ODK/CTO/ CSpro (participants’ choice)
Learn how to use mobile phones in data collection(Open data Kit/CTO/CSpro)
Learn how to integrate socio economic data with GPS coordinates
Learn how to draw maps using ArcGIS among other software
Learn how to analyze and visualize data with the aid of GIS techniques


Module 1: Statistical Concepts

Types of data
Data Structures and types of variables
Overviews of software used to digitize paper data collection tools (ODK/CTO/)
Comparative analysis of various software used to digitize paper data collection tools (ODK/CTO)


Module 2: Mobile Data gathering

Benefits of Mobile Applications
Data and types of Data
Introduction to common mobile based data collection platforms


Module 3: Managing devices

Challenges of Data Collection
Data aggregation, storage and dissemination
Questionnaire Design
Module 4: Getting started in ODK/CTO

Types of questions
Data types for each question
Types of questionnaire or Form logic
Extended data types geoid, image and multimedia
Survey Authoring and Preparation of mobile phone for data collection

Survey Authoring
ODK Collect applications: Installing, Configuring the device (Mobile Phones) and uploading the form into the mobile devices


Module 5: Designing forms and advanced survey authoring

Introduction to XLS forms syntax
New data types
Notes and dates
Multiple choice Questions
Multiple Language Support
Hints and Metadata
Advanced survey Authoring

Conditional Survey Branching
Required questions
Constraining responses
Skip: Asking Relevant questions
The specify other
Grouping questions
Skipping many questions at once (Skipping a section)
Repeating a set of questions
Special formatting
Making dynamic calculations
Hosting survey data (Online)

ODK Aggregate
Uploading the questionnaire to the server
Module 6: Introduction to concepts of GIS and remote sensing

Spatial data collection techniques
Using GPS
Using GPS utility software for managing and downloading and managing data
Working with data from different sources


Module7: Attributes manipulation in GIS

GIS software
GIS system installation and setup
GIS Data sources and types
Using Mobile Phones for GIS data collection(ODK and KoBoToolbox
Importing GPS data to Quantum GIS
Module 8: Visualizing data

Understand map layers in GIS
Composing a GIS layout from GIS layers
Difference between a map and a layout
Navigate maps
Module 9: Bringing tabular/spreadsheet data into a GIS (Excel, SPSS, Access )

Connecting visual map features and tabular data
Selecting subsets of map features from geo processing
Finding map features
Use data sorting records and labeling features to produce information
Key elements of a map
Composing a map
Module 10: Data interpretation and report writing

Different research outputs
Writing different research outputs from analysed data (case studies, success stories, policy briefs, evidence briefs, journal articles e.t.c)
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TRAINING CUSTOMIZATION

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

For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

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