Dark Side Of Data

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Dark Side Of Data

  1. 1. The Dark Side of Data<br />
  2. 2. About Urban Mapping<br />Founded in 2006<br />San Francisco-based (new office!)<br />Profitable<br />On-demand 24/7 hosted geo-services via API<br />On demand geoservices platform (spatial query, visualizations, base map)<br />Data sourcing/standardization/curation:<br />Neighborhood boundaries<br />Transportation infrastructure (public transit, air travel)<br />Enhanced parking<br />Airport noise contours<br />Crime<br />Religious affiliation<br />Demographics<br />Fiber-lit buildings<br />etc…<br />Proprietary and Confidential<br />
  3. 3. Powers of Ten<br />Proprietary and Confidential<br />Q: When is a point not a point?<br />A: When you are far enough away<br />
  4. 4. Centroid Overload<br />Proprietary and Confidential<br />
  5. 5. Data: Spatial v Attribute<br />Proprietary and Confidential<br />Staffed Hours<br />Station Name<br />Stairs<br />System Name<br />Escalator<br />Lines Served<br />Hours of<br />Operation<br />Accessibility<br />Rel Elevation<br />Directionality<br />Elevator<br />“Location Doesn’t Matter”<br />
  6. 6. I ♡ Metadata<br />Proprietary and Confidential<br />One Person’s Metadata is Another Person’s Data<br />
  7. 7. There Goes The Metadata!<br />Proprietary and Confidential<br />
  8. 8. Why Can’t We Be Together?<br />Proprietary and Confidential<br />Metadata<br />Data<br />
  9. 9. A Rose Is A Rose?<br />Proprietary and Confidential<br />Exhibit 1<br />Exhibit 2<br />“Boys age 2-7”<br />Data Element ID<br />Element Name<br />Element Title<br />Element Description<br />Element Export Name<br />(from US consumer expenditure<br />data; apparel-related expenditures)<br />
  10. 10. The Dark Art<br />Proprietary and Confidential<br />ETL: the $10b data gymnastics market nobody has heard of <br />ERP<br />Business Intelligence<br />Data Warehouse<br />Legacy<br />system<br />
  11. 11. Enter the Data Curator*<br />Proprietary and Confidential<br />Part social scientist (empirical methods, demography, statistics)<br />Part librarian (taxonomy, editorial, secondary research)<br />Part RDBMS wiz<br />*”data scientist” presumes fully-described/understood data structure/model, something exceedingly unlikely<br />
  12. 12. Jobs!<br />Proprietary and Confidential<br />talent@urbanmapping.com<br />

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