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BY :
LISSY VERMA
SHRADDHA GUPTA
   Data Collection
     ODK : Open Data Kit
     Demo
   Usher : Improving Data Quality
     Purpose
     Implementation
     Results
   Data collection in developing areas is
    difficult.

   None of existing tools suffice.

   Based on need, new features are needed.
   ODK is a tool suite for collection and
    management of data on mobile phones.

   The main objective is to provide open
    source tools.
   ODK COLLECT
     Collects Data

   ODK AGGREGATE
     Store Data, view and export.

   ODK MANAGE
     Remote Device Management
   AMPATH deployed the ODK for data
    collection for medical purpose.

   Deployment was found to be successful
    minimizing delays and improving lives of
    healthcare workers and other people.
   Expertise in form design
   Double Entry : Costly
   Data Cleaning
Constraints
   Combo-boxes.


Reduce Time
   Automatically filled Leave-forms.
ESCORTER : Guide towards correct entries.

 Question Ordering in form.

  Greedy Information Gain

 Dynamically Reorder Questions

 Predict Errors to Re-ask.

  Contextualized Error Likelihood Principle.
   Concept : An unscrupulous door-to-door surveyor Shirks

    Work, ask only important questions.

     Greedy Information Gain

   Uniform Prior : Equal likely inputs
       Training Set

   Context – specific Model Required

   Bayesian Learning
   The patient dataset collected at a rural
    HIV/AIDS clinic at Tanzania.

   Survey dataset, responses from 1986 poll
    about race and politics
Bayesian Network for the patient dataset
Question layout generated by the algorithm
Approximates Double Entry

   Uncertainty : High Entropy

   Outliers
   Due to digital divide between the developing and
    developed areas, it is very difficult to collect and use data
    in the developing regions.
   The main problems being :
    Lack of reliable infrastructure,
    Proper connectivity, and,
    Inadequate expertise.
   Currently available tools for data collection like Pedragon
    Forms, Nokia Data Gathering, Java-Rosa, RapidSMS etc.
    are difficult to deploy, hard to use, complicated to scale
    and rarely customizable.
 The Open Data Kit or simply ODK is a suite of tools for data collection that
  uses Google’s Android platform.
 The main objectives of the technology are :
  Modularising and customising tools
  Use of open interfaces and standards
  Long time survival of tools.
 The three components of ODK are:
  1. ODK Collect : collects data using Forms.
  2. ODK Aggregate : ready to deploy online repository to store, view and export
  collected data.
  3. ODK Build : enables users to generate forms.
  4. ODK Voice : maps Forms to sound snippets.
  5. ODK Clinic : mobile medical record system.
  6. ODK Manage : maintains database of all phones for remote device
  management
  7. ODK Validate : validates Form.
  Other tools being ODK Dropbox, ODK Rangefinder, ODK Tasks, ODK Listen
  and ODK Visualise.

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Data collection

  • 2. Data Collection  ODK : Open Data Kit  Demo  Usher : Improving Data Quality  Purpose  Implementation  Results
  • 3. Data collection in developing areas is difficult.  None of existing tools suffice.  Based on need, new features are needed.
  • 4. ODK is a tool suite for collection and management of data on mobile phones.  The main objective is to provide open source tools.
  • 5. ODK COLLECT  Collects Data  ODK AGGREGATE  Store Data, view and export.  ODK MANAGE  Remote Device Management
  • 6.
  • 7. AMPATH deployed the ODK for data collection for medical purpose.  Deployment was found to be successful minimizing delays and improving lives of healthcare workers and other people.
  • 8. Expertise in form design  Double Entry : Costly  Data Cleaning
  • 9. Constraints  Combo-boxes. Reduce Time  Automatically filled Leave-forms.
  • 10. ESCORTER : Guide towards correct entries.  Question Ordering in form.  Greedy Information Gain  Dynamically Reorder Questions  Predict Errors to Re-ask.  Contextualized Error Likelihood Principle.
  • 11. Concept : An unscrupulous door-to-door surveyor Shirks Work, ask only important questions.  Greedy Information Gain  Uniform Prior : Equal likely inputs  Training Set  Context – specific Model Required  Bayesian Learning
  • 12. The patient dataset collected at a rural HIV/AIDS clinic at Tanzania.  Survey dataset, responses from 1986 poll about race and politics
  • 13. Bayesian Network for the patient dataset
  • 14. Question layout generated by the algorithm
  • 15. Approximates Double Entry  Uncertainty : High Entropy  Outliers
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23. Due to digital divide between the developing and developed areas, it is very difficult to collect and use data in the developing regions.  The main problems being : Lack of reliable infrastructure, Proper connectivity, and, Inadequate expertise.  Currently available tools for data collection like Pedragon Forms, Nokia Data Gathering, Java-Rosa, RapidSMS etc. are difficult to deploy, hard to use, complicated to scale and rarely customizable.
  • 24.  The Open Data Kit or simply ODK is a suite of tools for data collection that uses Google’s Android platform.  The main objectives of the technology are : Modularising and customising tools Use of open interfaces and standards Long time survival of tools.  The three components of ODK are: 1. ODK Collect : collects data using Forms. 2. ODK Aggregate : ready to deploy online repository to store, view and export collected data. 3. ODK Build : enables users to generate forms. 4. ODK Voice : maps Forms to sound snippets. 5. ODK Clinic : mobile medical record system. 6. ODK Manage : maintains database of all phones for remote device management 7. ODK Validate : validates Form. Other tools being ODK Dropbox, ODK Rangefinder, ODK Tasks, ODK Listen and ODK Visualise.