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BIOPHICS- Reporting and Collecting Data
Reporting Data
Eduardo Jezierski(Engineering)not a [email protected]
BIOPHICS- Reporting and Collecting Data
Objectives
• Reporting and collecting data: – Collecting, balancing structured vs. un-structured
(and semi-structured), formats, level of detail, tools for collecting, storing and visualizing
• Learning Objectives:– Explain the difference between structured, semi-
structured and un-structured data– Design a simple structured data reporting format– Understand the options for collecting, parsing,
storing and analyzing and sharing structured data
BIOPHICS- Reporting and Collecting Data
Getting information
Information is power
External data
Rapid Feedback
Aggregation, Sharing, Authorizing
AlertingEarly analytics
Relevance & Targeting
BIOPHICS- Reporting and Collecting Data
BIOPHICS- Reporting and Collecting Data
Example Technologies• Desktop
– Epiinfo– Groove
• Mobile– Open Data Kit– Epicollect– Java ROSA– Pendragon– USSD– Digital Pen
• Web– Survey Monkey– Google Spreadsheets & Form– Fusion Tables
• SMS– Geochat– RapidSMS– Frontline SMS
• Analysis– SPSS– STATA– Etc.
BIOPHICS- Reporting and Collecting Data
Emerging alternatives
USSDUnstructured Supplementary Service Data
Simple to useSimple to report structured informationRequires collaboration with all phone companies
Digital PenSimple to useSimple to report much informationOngoing cost of ‘paper’/formsRequires separate mobile
BIOPHICS- Reporting and Collecting Data
Why is SMS popular
• Low cost• Needs little signal (1 bar enough)• Uses little power• Works on existing equipment• Scales from few users to nationwide
BIOPHICS- Reporting and Collecting Data
Ways of sharing information
• UNSTRUCTURED– “Hello everyone we have meeting tomorrow”– “We are dealing with cholera outbreak will call you later”
• SEMI-STRUCTURED– “at Ratchaburi, we are seeing Cholera URGENT”– “H5N1 Birds:200 should we call PHD?”
• STRUCTURED– “H5N1, Birds:200, Lab: No, FollowUp: no” – E.g TURTLE standard
Simple, easy, flexible
Simple, requires FEATURE
EXTRACTION, some training
Complex for human entry,
hard to learn and to get right
BIOPHICS- Reporting and Collecting Data
Feature ExtractionUnstructured Data Feature Extraction
Closed Captioning
Image Recognition
Face Recognition
Time
Place
Person
Event
Organization
Trustworthiness
Algorithms &
Databases
Experts
Crowds
SMS Messages
Voice/Radio Calls
Pictures and videos
Structured Data
Data Records
Relationships
Metadata
Sensor Readings
Sensors
Calibration
BIOPHICS- Reporting and Collecting Data
SMS Syntax
BIOPHICS- Reporting and Collecting Data
BIOPHICS- Reporting and Collecting Data
Feature Extraction Example: Places
• “At Stung Treng, seeing Cholera”
1) FIND Feature
Google, Yahoo
Geocoders
Open Street Maps
Your own database e.g.
PCODES
2) Associate Metadata
Stung Treng= Lat; Long
Lat; Long
OPEN DATABASES tend to be the richest sources of local data & provide a strong platform
Humans are excellent at extracting features! Unless you need real-time; large volume geocoding, crowd sourcing is an excellent option
BIOPHICS- Reporting and Collecting Data
1. A Haitian with a need sends an SMS to the 4636 shortcode
2. The SMS goes through Nuntium and then onto Emergency Information System
3. A Haitian volunteer or staff and translates, tags, geocodes
4. The organized information is then dispatched to response or added to reports
BIOPHICS- Reporting and Collecting Data
27 letters 8 buttons
BIOPHICS- Reporting and Collecting Data
50+ letters 8 buttons
BIOPHICS- Reporting and Collecting Data
syntaxSimplify your users’ experienceMachines adapt to the users
New Project…
BIOPHICS- Reporting and Collecting Data
Tombodu (Sierra Leone) traditional registration
BIOPHICS- Reporting and Collecting Data
BIOPHICS- Reporting and Collecting Data
BIOPHICS- Reporting and Collecting Data
Other Considerations
• Scalability• Logical vs Physical data paths• Cloud Computing• User Experience & Design
BIOPHICS- Reporting and Collecting Data
Scaling & Reducing costs of SMS
Local Gateway- USB Modem- Phone via USB
Easy to get startedNo internet requiredSlow (1msg/6 second)Unreliable- Support
Virtual Operators- Skype- International #
Easy to get startedHigh ScaleSpotty coverageBlocked in some
countriesCost/ msg
Operator Collaboration- Per country- Per company
High ScaleLowest CostsLong negotiationsComplex connection
??
BIOPHICS- Reporting and Collecting Data
Logical vs Physical data paths
• Pattern: Digitize existing reporting protocols• Antipattern: implement in digital form the
physical path of paper– Complex-Expensive-Unreliable-Less Secure
BIOPHICS- Reporting and Collecting Data
Cloud Computing
“Cloud Computing”- Cost effective- Secure- Scalable- Reliable
-Ownership?-Privacy?-External dependency?
Not “IF”,but “HOW to do cloud computing”
Standard data downloadCan delete on demand
BIOPHICS- Reporting and Collecting Data
User Experience Tips
“Interact with the world through a 160 character browser”
Context & GoalsWizard of OzStart Small, Start simpleLog all messages for retrospective, rinse, repeatSMS Challenges
Forgiving Empowering
BIOPHICS- Reporting and Collecting Data
Appropriate design is best done by locals
Share your skills and get out of the way!
BIOPHICS- Reporting and Collecting Data
Summary
• Data collection is only one link in the chain• Simplicity and usability are key• Unstructured and semi-structured data are a
good balance of data quality and usability
BIOPHICS- Reporting and Collecting Data
Thank You!
Eduardo Jezierski(Engineering)not a [email protected]@edjez
