Open Data Kit (ODK) is a free and open-source set of tools for mobile data collection. It allows researchers to create online forms, interface with a data server to download blank forms and submit completed forms from mobile devices even without internet access. Key components include ODK Build for authoring forms, ODK Collect for mobile data collection, and ODK Aggregate for storing submitted data. The tools make data collection more efficient, robust and cost-effective compared to paper-based methods. ODK has been successfully used in various deployments including surveys, project monitoring, and crisis mapping.
Materi training tentang Open Data Kit, software yang digunakan dalam proses data collection dengan menggunakan android mobile phone sebagai tools-nya. Software ini dapat mempercepat penelitian dengan mengkombinasikan proses data collection dengan proses data entry. Selain itu, ODK dapat membantu kita memvisualisasikan sample dengan menggunakan Google Earth
The presentation is a brief highlight of the rationale for mobile data collection and the landscape of the mobile data collection platforms that exist, and the potential considerations for a choice of a choice of open data kit as a subject of the training
URI
https://hdl.handle.net/20.500.11766/10373
See also:
https://www.icarda.org/media/events/monitoring-evaluation-and-learning-data-management-and-geo-informatics-option-context
Training on Develop Mobile Data Collection Solutions using Kobo ToolboxMd. Bulbul Islam
Kobo Toolbox is a suite of tools for field data collection which allows you to create forms for use on your laptop or mobile. Learn with us about the process of using Kobo Toolbox, from setting up your account to the final usable form
A few to get started with ODK. Move away from the paper-based questionnaire to digital questionnaire, it will save you money and time. Its easy and its free
Mobile Data Collection - opportunitiesmirjamschaap
Presentation for colleagues at brownbag of Centre for Development Innovation, Wageningen UR on potential of using mobile devices and Open Data Kit (ODK) for data collection. May 2014
Materi training tentang Open Data Kit, software yang digunakan dalam proses data collection dengan menggunakan android mobile phone sebagai tools-nya. Software ini dapat mempercepat penelitian dengan mengkombinasikan proses data collection dengan proses data entry. Selain itu, ODK dapat membantu kita memvisualisasikan sample dengan menggunakan Google Earth
The presentation is a brief highlight of the rationale for mobile data collection and the landscape of the mobile data collection platforms that exist, and the potential considerations for a choice of a choice of open data kit as a subject of the training
URI
https://hdl.handle.net/20.500.11766/10373
See also:
https://www.icarda.org/media/events/monitoring-evaluation-and-learning-data-management-and-geo-informatics-option-context
Training on Develop Mobile Data Collection Solutions using Kobo ToolboxMd. Bulbul Islam
Kobo Toolbox is a suite of tools for field data collection which allows you to create forms for use on your laptop or mobile. Learn with us about the process of using Kobo Toolbox, from setting up your account to the final usable form
A few to get started with ODK. Move away from the paper-based questionnaire to digital questionnaire, it will save you money and time. Its easy and its free
Mobile Data Collection - opportunitiesmirjamschaap
Presentation for colleagues at brownbag of Centre for Development Innovation, Wageningen UR on potential of using mobile devices and Open Data Kit (ODK) for data collection. May 2014
KoBoToolbox : Data Collection Tool (Research Tool)Thiyagu K
KoBoToolbox is a suite of tools for field data collection for use in challenging environments. KoBoToolbox is free and open-source. The KoBoToolbox features are: Design forms quickly and easily using our intuitive form builder; Reuse existing questions and blocks of questions and manage them in the question library; Build complex forms with skip logic and validation; More than 20 different question types available including location, image, video, rating, matrix, etc.; Easily share projects with colleagues and set granular permission levels
Import and export XLS Forms Import via URL or uploads it from our computer.
This Presentation is a self-exploratory tutorial on how to create a research tool and collect the data from a sample through the KoBoToolbox tool.
How we configure Google data studio to enhance reporting for Google Google Analytics, Search Console, Pay Per Click, Google Adwords, Youtube Marketing and more.
Getting Started with Google Data StudioChris Burgess
Presented at the Melbourne SEO Meetup in September 2019, this slide deck offers a broad overview of the Google Data Studio product. It includes a walk through of the main features, resources to help you learn more, as well as some tips to help you with your own custom dashboards and reports.
Google Data Studio is a reporting tool which turn your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable.
Accessorizing Google Sheets - Tots & Technology 2015Diana Benner
Accent your Google Sheets experience. Google Sheets add-ons are handy little programs that will add function and style to your spreadsheets. Come explore some helpful add-ons that will improve your teaching practice. You won’t be able to live without ‘em.
The content of this presentation are the following:
- Overview of the Google Drive
- The History of the Logo, and the logo itself
- Founders of Google
- Features of Google Drive
Prepared as part of the IT for Business Intelligence course of MBA @VGSOM, IIT Kharagpur. The tutorial describes how to create an interactive map using the open source software QGIS.
Google recently announced a free version of Google Data Studio which is designed for "individuals and smaller teams. Here are the details. Learn how to create beautiful reports using the new Google Data Studio. Data Studio makes it easy to connect to your data, visualize that data, and share and collaborate with colleagues and customers.
KoBoToolbox : Data Collection Tool (Research Tool)Thiyagu K
KoBoToolbox is a suite of tools for field data collection for use in challenging environments. KoBoToolbox is free and open-source. The KoBoToolbox features are: Design forms quickly and easily using our intuitive form builder; Reuse existing questions and blocks of questions and manage them in the question library; Build complex forms with skip logic and validation; More than 20 different question types available including location, image, video, rating, matrix, etc.; Easily share projects with colleagues and set granular permission levels
Import and export XLS Forms Import via URL or uploads it from our computer.
This Presentation is a self-exploratory tutorial on how to create a research tool and collect the data from a sample through the KoBoToolbox tool.
How we configure Google data studio to enhance reporting for Google Google Analytics, Search Console, Pay Per Click, Google Adwords, Youtube Marketing and more.
Getting Started with Google Data StudioChris Burgess
Presented at the Melbourne SEO Meetup in September 2019, this slide deck offers a broad overview of the Google Data Studio product. It includes a walk through of the main features, resources to help you learn more, as well as some tips to help you with your own custom dashboards and reports.
Google Data Studio is a reporting tool which turn your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable.
Accessorizing Google Sheets - Tots & Technology 2015Diana Benner
Accent your Google Sheets experience. Google Sheets add-ons are handy little programs that will add function and style to your spreadsheets. Come explore some helpful add-ons that will improve your teaching practice. You won’t be able to live without ‘em.
The content of this presentation are the following:
- Overview of the Google Drive
- The History of the Logo, and the logo itself
- Founders of Google
- Features of Google Drive
Prepared as part of the IT for Business Intelligence course of MBA @VGSOM, IIT Kharagpur. The tutorial describes how to create an interactive map using the open source software QGIS.
Google recently announced a free version of Google Data Studio which is designed for "individuals and smaller teams. Here are the details. Learn how to create beautiful reports using the new Google Data Studio. Data Studio makes it easy to connect to your data, visualize that data, and share and collaborate with colleagues and customers.
Collecte d’information avec le projet OpenDataKit (ODK)horacio lassey
C'est une presentation de commenter on peut utiliser le projet Open Data Kit ( ODK) pour faire la collecte de données. Ce projet se base sur les terminaux Android pour la collecte des informations.
Open Data Kit, Digital data collection tool, training manual.pptxEbrahimSeid2
The Open Data Kit (ODK), developed by the Department of Computer Science and Engineering at the University of Washington, United Nations of America, is among the commonly used and preferred digital data collection tool by different organizations (especially NGOs). It supports a wide range of questions and answer types, and designed to work well without network connectivity.
Training course on Mobile Data Collection using KoBoToolBox (form builder & S...gildasCrepin
Training on ODK on how to conduct or implementation digital data collection and monitor in real time data collection from the field.
Kobo Collect is being used for the training
Recognizing the importance of the agriculture sector, SADC Member States have taken steps to unleash
its potential in the region. To achieve that ambition and provide guidance in the implementation process,
SADC Vision 2050 and the Regional Indicative Strategic Development Plan (RISDP) were formulated,
resulting in the development of a set of policy documents, notably the Dar-es-Salaam Extraordinary
Summit Declaration and Plan of Action on Agriculture and Food Security, the Regional Agricultural
Investment Plan and the Regional Agricultural Policy (RAP). The latter provides the SADC short- and
long-term vision for the development of the agriculture sector.
Considering the importance of the agriculture sector in SADC Member States, and motivated by the
need to support the implementation of the aforementioned policies, a wide range of timely, reliable,
relevant and accurate data and statistics are required to help in formulating, managing, planning,
monitoring and evaluating the impact of those policies and investments. This increasing demand for
statistics, notably agricultural statistics, has prompted the need to minimize and/or eliminate error and
improve quality of data as well as statistical information released to better guide decision making and
increased efficiency of any policy, programme and project implemented.
Mobile Phone Based Data Collection using ODK and Kobo Toolbox has been recognized worldwide
as very useful and convenient data collection method substituting paper-based data collection method.
Due to the increase demand to Member States to generate accurate agricultural information and to
ensure timely reporting, a training curriculum has been developed on Mobile Data Collection using
Kobo Toolbox and ODK/KoboCollect.
GraphSummit - Process Tempo - Build Graph Applications.pdfNeo4j
Neo4j offers a powerful platform for developing digital twins and advanced graph data science use cases. Process Tempo accelerates these efforts with a native Neo4j, no-code development environment that combines data visualization with advanced workflow. Learn how the combination of these features can open new value streams for your Neo4j graph investment.
Learn how Mobile Cloud Computing can be customized with FormRamp in a highly configurable system that empowers users to capture data, signatures, locations, and other metrics from a mobile or handheld device. Capturing users' signatures and information through specific pull-down selections and check boxes, FormRamp streamlines capture on today's mobile devices. Ideal for training, deliver, inspection, quality control applications and more.
Data entry is very important task for any business, but one that is tedious and time consuming. Automated data inputting canease the task. If you have bulk requirements, it would be better to partner with a data entry outsourcing company. Experts utilize the latest technology to perform the task and also have stringent quality control measures in place to ensure accurate, timely solutions.
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2EpHGyd
Presented at Data Champions, Online Asia 2020
Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.
In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations:
- Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time
- Build a single engine for security that provides audit and control by geographies
- Accelerate delivery of insights from your advanced analytics project
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/32c6TnG
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
How Do You Build Data Pipelines that Are Agile, Automated, and Accurate?Precisely
Synthesis Webinar with Dave Wells and Syncsort
Today’s data-hungry analytics applications falter when they can’t get the right data at the right speed. Data pipelines are a critical element of success with analytics, yet building and operating data pipelines can be difficult. Today’s data management systems are complex, with data deployed across multiple cloud platforms and in hybrid architectures that combine multi-cloud with on-premises databases. Data pipeline difficulty is further challenged by a shortage of data engineers and increasing needs for real time data.
Analytics success and sustainability depends to a large degree on our ability to build data pipelines that are agile, automated, and accurate. Agility is essential to keep pace with requirements for new data pipelines and to respond to changing business needs, data sources, and technologies. Automation is needed because the shortage of data engineers makes hand- crafted data pipelines impractical. Accuracy is the foundation of trusted data and analysis. Without trust, analytics fails to deliver business value. Together the 3 A’s of data pipelines—agility, automation, and accuracy—help to overcome the complexities and challenges of data pipeline development and operation.
You Will Learn:
• How multi-cloud and hybrid deployments add complexity to data pipelines
• Why data streams and real time data are data pipeline challenges
• Why hiring more data engineers is not the solution
• Nine components of data pipelines and the challenges inherent in each
• How data pipeline success improves the frequency of analytics success
• Why agile, automated, and accurate are data pipeline imperatives
• The role of technology in meeting the data pipeline imperatives
Company profile TriCoSys Solutions Private LimitedSubodh Deshpande
Introduction
• TriCoSys is Pune, India based organization, formed in 2013 with an aim of
providing efficient and effective business solutions, quality software services and
consultancy with optimum cost and time frame.
• TriCoSys offers M2M (machine to machine) solutions, enterprise application,
Android and iOS development.
• Enthusiastic and highly motivated team is the biggest asset of the company.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
5. Open Data Kit (ODK) is a free and open-
source set of tools which help researchers
author, field, and manage mobile data
collection and management solutions.
It allows data collection using mobile
devices and data submission to an online
server, even without an Internet connection
or mobile carrier service at the time of data
collection.
6. ODK Collect
◦ Android app/ Mobile data collection engine
◦ Download forms/collect data
◦ Upload data
ODK Build
◦ Creating forms/ Authoring forms
◦ Publishing forms to Aggregate or XML
ODK Aggregate
◦ Store data/ Data server (Google AppEngine or web
server)
ODK Manage – For supervision of research
assistants
Among other tools
ODK components
7. ODK Build/Notepad
Editor
XML Forms
XML Data
Form Authoring
(ODK Build/XML Editor)
Mobile Engine
(ODK Collect)
Data Server
(ODK Aggregate)
XForms
XML Data
9. open to fill a blank form
Open to edit filled I forms before submitting
Submit the finalized forms to the aggregate
server
Get/ download a blank form from the
Aggregate server
Delete blank saved forms from the mobile
28. Aggregate: Site Access
• Allow anyone with the
aggregate account
permissions to
download forms and
submit data
• Allows one to create
permissions with
account and
password
• data collector
• data viewer
• form manager
• site admin
29. Aggregate: Form Management
Add New Form
Two methods of
form uploading:
• Upload XML file
• Upload a form by
publishing from
ODK build
31. Creating a Form using Build
• Can create forms
using the ODK
build GUI
• More complex
forms easier to
write in XML
32. Publishing the Form • Publishing to
Aggregate uploads
the blank form/
questionnaire to the
host on the Google
AppEngine where it
can be downloaded
using ODK collect
App for data
collection
• Publishing XML
allows the user to
customize the simple
form (logic,
appearance, etc)
Publish to
Aggregate
P
Publish to
XML
33.
34. – Harder to skip questions
– Range checking
– Eliminates branching errors
– Eliminates transcription
errors
– Immediate access to data
from the server – rapid
data aggregation and
analyses (Real-time data
access)
– Portability
– Data security
– Minimize workforce -Better
supervision is possible
35. – Unlimited data types;
Form + GPS location +
picture + video + string+
numeric + audio +
barcode
– Branching sequence
– Get GPS location of
respondent easily
– Cleaner data –
standardization of data
– Easy connection to other
health records e.g.
openMRS
37. Minimize workforce
Data Collection the hard way
Data collection on
mobile phones is
easy, effective, and
fun!
38. Turnaround
Typesetting
Photocopy (bulk)
Data Entry Screen
Programming
Data Entry
Data Cleaning
Tedious & Bulky
Easy to fake
Time consuming
Limited data type range
Time consuming
• Clean data – Range checks, Skip
logics, Required fields
• Hastens the whole process
• No data entry exercise (reduce
costs)
• Reduced data loss
• Reduced bulkiness – just a phone
• Ease of monitoring
• Increased capacity in collecting
qualitative and quantitative data
(e.g. Videos, Images, locations,
audio recording, barcodes)
• Efficient for Mapping surveys
• Hustle Free
Mobile data collectionPaper questionnaire
39. Quantitative
Consider a two page paper questionnaire
and a sample size of 150 respondents with
a 100% response rate.
40. Option Activity Quantity Description Cost Each
Sub-total
Cost
Native Paper
Questionnaire
Administering
Typesetting 2 pages Typesetting draft questionnaire into a
word processor
25 50
Photocopy/
printing
(150*2pages)=300 Replicating the questionnaires equal to
the number of respondents
5 1500
Database and data
Entry Screen
Programming
1 Interface to be used during data entry and
the database design
10,000 10,000
Data Entry 4 data entry clerks Data entry exercise to be carried out in 1
day
1000 4000
Data Cleaning/
data management
1 Cost for eliminating data captured during
collection and/or entry erroneously
5500 5500
Grand Total 21,050/=
Using ODK Form Authoring/
Developing
1 Developing a two page
questionnaire in ODK
9000 9000
Data Management 1 Aggregating the data and delivery
in .CSV file (OR even SPSS, STATA
formats) and minimal data
cleaning if any
6500 6500
Grand Total 15500/=
Comparing the costs!
The difference widens as the number of pages and sample size
increases
41. The process
1. List questions 2. Design Questionnaire
An officer list the
questions a
survey may
consist with other
data types such
as Pictures, GPS,
Audio, etc
The officer designs the
forms with xForm designer/
Odk build with good
controls and features, in an
electronic survey form.
Access rights and controls
e.g. skip logics are then
assigned by officer. Uploads
the forms to aggregate
3. Download forms
Enumerators
download the survey
form remotely using
ODK Collect app on
their android phone.
4. View data on server
The officer manages and
conducts analysis of the
data collected or export
the data to external
systems like Google Fusion
Tables or ArcGis for further
analysis and sharing
information
43. completing surveys about households
Microfinance institution tracking transactions
from lenders and borrowers.
Crisis mapper tasked to capture images and
locations of damaged areas after a hurricane.
Collecting multimedia data –audio, video
Baseline surveys and project evaluations for
collecting both quantitative data and
qualitative data (Audio recording)
44.
45. Form Authoring
Mobile Engine
Data Server
XForms
Completed
XForms
CellLife, EpiSurveyor,
OpenXData, Open Data Kit
JavaROSA, OpenXData
mobile, ODK-collect
Cell Life, EpiSurveyor,
OpenXData, ODK aggregate
XML Forms
XML Data
46. Open Data Kit provides organizations with a new
way to build information services for developing
regions. The modular, extensible and open-source
design allows picking and choosing tools best
suited for specific deployments.
ODK differs from other platforms and has
unlimited set of tools
Ongoing deployments has proven success.
ODK system architecture of enables a large and
varied set of applications for developing regions.
47. Using of Mysql Data server – No actual cost
incurred, no limitations on data accessibility
48. http://opendatakit.org/about/deployments/ -
successful implementations
http://opendatakit.org/about/tools/ - All ODK
tools
http://build.opendatakit.org –Form building tool
http://purcforms.appspot.com/FormDesigner.html
-Purcform form designer tool
http://code.google.com/p/opendatakit/downloads
/list -ODK Downloads list
http://opendatakit.org/2011/09/list-of-odk-
implementation-companies/
49. Visit our website at:
www.megasixsolutions.com
or
contact me via:
cgatama@megasixsolutions.com /
staff@megasixsoluutions.com
Cell: +254-727-094536