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About The Getfit iPhone App
- 1. Presents An App For Livinglab.mit.edu/getfit-app
- 2. ? 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
- 3. 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
- 4. So What’s This App About? Sending info to GetFit Contributing 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
- 5. 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
- 6. …Except that we let you own your data If you want to you can… …YoUR Raw Data View It Play 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
- 7. How Does thIs Work? You minutes Getfit website sensor data processed data & graphics your unabridged raw data DataHub graphics, info, reminders, etc Getfit App Now about that Elephant-Octopus-Datahub Thing… Livinglab.mit.edu/getfit-app
- 8. DataHubA Data Commons Datahub.csail.mit.edu Livinglab.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
- 9. DataHubDataHub 2: Active Cleaning & Transformation 2: Active Cleaning & Transformation 3: Query Synthesis 3: Query Synthesis 5: Search & Integrate 5: Search & Integrate InfrastructureInfrastructure <xml> … <xml> … Table Search [ ] Table Search [ ] { } { } 4: Visual Analytics 4: Visual Analytics 1: Storage Management 1: Storage Management 6: Provenance Management 6: Provenance Management DataHub Livinglab.mit.edu/getfit-app
- 10. DataHubDataHub A: Clean & Transform A: Clean & Transform B: Query & Visualize B: Query & Visualize C: Search & Integrate C: Search & Integrate D: Export & Share D: Export & Share User DataUser Data Raw DataRaw Data Transformed Data Transformed Data VisualizationsVisualizations Samples & Indices Samples & Indices ProvenanceProvenance Temporal Annotations Temporal Annotations Shared/Public DataShared/Public Data Search Indices Search IndicesShared DataShared Data <xml> … <xml> … <html> … <html> … Table Search [ ] Table Search [ ] { } { } Livinglab.mit.edu/getfit-app
- 11. How Does This Benefit me? And MIT? Campus Life • Transportation • Bus usage, routing • Ride sharing • Health+ Medical • Public health metrics • Health signals Resource 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
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