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Presents An App For
Livinglab.mit.edu/getfit-app
?We make MIT a more data-driven Institute by rethinking the way we access, share, and use data to learn and make decisions.
?Livinglab.mit.edu/getfit-app
The Big Data Living Lab – why?
Improving and understanding our community using data
building platforms for new applications demonstrate social implications of big data
Exploring privacy and technical challenges of data Issues surrounding large-scale data integration, analytics, visualization, and
performance
Showcasing Solutions by Using our Research Demonstrating new approaches, prototypes, systems, and tools In programmer speak, “eating our own dogfood”
Livinglab.mit.edu/getfit-app
So What’s This App About?
Sending info to GetFitContributing to research at CSAIL
Using the technologies that come from MIT’s research
Viewing and Owning Your Data The same data that fitness apps
already collect from you… without your knowledge
Livinglab.mit.edu/getfit-app
What type of Data?Just a few things
• Location• Motion• Device Info• Activity & Pedometer• Proximity sensor• Battery
No call logs, text messages, microphone, browser history, etc
Which is what other apps and Wearables already do
…Except that we let you own your data.
Apple Healthkit
Google Fit
Livinglab.mit.edu/getfit-app
…Except that we let you own your data
If you want to you can…
…YoUR Raw Data
View ItPlay With It
Understand It
Compute On It
Share It
Edit It
Delete It
Even Lie About It.
And We CAN’t Do anything about it.
Livinglab.mit.edu/getfit-app
How Does thIs Work?
Youminutes
Getfit website
sensor data
processed data & graphics
your unabridgedraw data
DataHub
graphics, info,
reminders, etc
Getfit App
Now about that Elephant-Octopus-Datahub Thing…
Livinglab.mit.edu/getfit-app
DataHubA Data Commons
Datahub.csail.mit.eduLivinglab.mit.edu/getfit-app
• Secure, Hosted Data Storage (Database As a Service)
• Selective Sharing and Access Control• Find, Combine, Clean Data Sets• Browse, Visualize, and Query Data
DataHubDataHub
2: Active Cleaning &
Transformation
2: Active Cleaning &
Transformation
3: Query
Synthesis
3: Query
Synthesis
5: Search &
Integrate
5: Search &
Integrate
InfrastructureInfrastructure
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Table Search[ ]
Table Search[ ]
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4: Visual Analytics4: Visual Analytics
1: StorageManagemen
t
1: StorageManagemen
t
6: ProvenanceManagemen
t
6: ProvenanceManagemen
t
DataHub
Livinglab.mit.edu/getfit-app
DataHubDataHub
A: Clean & TransformA: Clean & Transform
B: Query & Visualize
B: Query & Visualize
C: Search & IntegrateC: Search
& IntegrateD: Export & Share
D: Export & Share
User DataUser Data
Raw DataRaw Data
Transformed Data
Transformed Data
Visualizations
Visualizations
Samples & Indices
Samples & Indices
Provenance
Provenance
Temporal Annotatio
ns
Temporal Annotatio
ns
Shared/Public DataShared/Public Data
Search IndicesSearch Indices
Shared Data
Shared Data
<xml>…
<xml>…
<html>…
<html>…
Table Search[ ]
Table Search[ ]
{ }{ }
Livinglab.mit.edu/getfit-app
How Does This Benefit me? And MIT?Campus Life
• Transportation• Bus usage, routing• Ride sharing• Health+ Medical • Public health metrics• Health signalsResource
Management• Space and energy use• Campus
quantification• Attendance -> grades?
Research
• Real Data Sharing• Shared tables• Branching, forking, cloning• No more lost data
No more “What directory is ‘genome-final-version-5.csv’ stored in?”
A smarter MIT!Livinglab.mit.edu/getfit-app
Livinglab.mit.edu/getfit-app
