Effective Data Collection Management And Visualization

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research at our FineResults Research Services training facilities in Nairobi, Kenya or online.

Effective Data Collection Management And Visualization

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 the use of paper in capturing data to the use of digital innovation, there is a 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 5 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
5 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

TOPICS TO BE COVERED
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
Managing devices
Challenges of Data Collection
Data aggregation, storage and dissemination
Questionnaire Design

Module 3: 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

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 4: 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
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 5: Visualizing data
Understand map layers in GIS
Composing a GIS layout from GIS layers
Difference between a map and a layout
Navigate maps
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

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: ( 254 759 285 295) or Email: [email protected]

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 900

Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to [email protected]
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: ( 254 759 285 295) or Email: [email protected]

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: [email protected]

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
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