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2009 FME UC Keynote - Removing Barriers to Data Sharing

2009 FME UC Keynote - Removing Barriers to Data Sharing

Given at the 2009 Safe Software FME UC in Whistler, BC.

Video is here: https://youtu.be/i7f0-R7EMbQ

1e1293843b57cc564b268f36f729a771?s=128

James Fee

June 08, 2009
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Transcript

  1. REMOVING BARRIERS TO DATA SHARING James Fee RSP Architects

  2. Abstract (Hidden Slide) §  Removing Barriers to Data Sharing With

    the convergence of geographic information and the Internet, organizations are attempting to find better ways to share and store data as well as collaborate with others. James Fee will be discussing how organizations can become more agile with their geospatial business processes to ensure that their data is discoverable as well as accessible to users who wish to interact with it. Listen to James describe how changes with workflows brought on by disruptive technologies such as web services and cloud computing can improve users' abilities to solve complex problems and expose those results to consumers who will then be able to use them. There are huge challenges to overcome, but with the right tools and services, success can be in hand. James will share concepts that have helped his clients improve their data sharing and collaborative efforts by using those same disruptive technologies to eliminate barriers between users and data.
  3. The Early Years

  4. Data Sharing Required Engineers

  5. Computing Was A Team Effort

  6. Tape Drive Storage

  7. You Were Loved By Your Parents

  8. The Floppy Disk The cause of and solution to all

    our problems!
  9. Floppies Are Not My Friend

  10. War Games Was Your Favorite Movie

  11. Electronic Data Sharing

  12. Call Waiting Strikes Again!

  13. Usenet Newsgroups

  14. The Information Superhighway

  15. Safe Software 1996

  16. Sharing Data On The Web

  17. FTP Reigns Supreme

  18. ESRI’s Attempt at Data Sharing

  19. Current Data Sharing

  20. The Future?

  21. Keys to a Data Portal § Open Format Aggregation § Findability § Caching

  22. Open Format Aggregation §  Support for open standards §  KML/KMZ,

    PDF, JPG2000, XML §  Shapefiles? Excel? §  Aggregate other data portals §  Data.gov shouldn’t replace specialized data sharing sites §  Offers up links to data and data services
  23. Pick Your Format

  24. Findability How easy data is to discover or locate How

    well the physical or digital environment supports navigation and retrieval OR
  25. Searching DATA.gov

  26. Searching

  27. Text Search FAIL

  28. Nothing?

  29. Caching §  Temporary storage of frequently accessed information

  30. None
  31. No Caching

  32. Data.gov is a Great Start

  33. Spatial Data Access § Open Formats § Findability § Caching

  34. Open Formats §  What is an open format? §  DWG/DWF

    §  Personal Geodatabase §  File Geodatabase §  MIF/TAB §  MrSID
  35. Open Formats §  “Real” open formats §  Shapefiles §  KML/KMZ

    §  GML §  SDF (Spatial Data Format) §  SpatiaLite §  JPEG 2000 §  PDF §  XML
  36. Picking Formats Target Audience Photo used under creative commons from

    dotbenjamin
  37. Prepare for Users §  How might they use geospatial data?

    §  Professional applications (GIS/CAD) §  Neogeographers §  Excel §  PowerPoint §  Google Earth §  Photoshop §  But be careful of exposing too much
  38. Data.gov

  39. Findability

  40. Findability

  41. Findability

  42. Findability

  43. Findability

  44. Findability

  45. Findability

  46. None
  47. Findability

  48. WeoGeo Define Spatial Search Area

  49. WeoGeo Refine Search Criteria

  50. WeoGeo Choose Data Set

  51. WeoGeo Preview Data Set

  52. None
  53. WeoGeo Preview Data Set

  54. We Want Happy Users

  55. Caching §  “Google does it so it must be smart”

  56. Caching §  Ensuring data is available

  57. Caching §  Speeding data delivery Photo used under creative commons

    from NathenFromDeVryEET
  58. Caching §  Reduces server loads

  59. Which Leads Us to the Cloud

  60. Data Sharing is Expensive §  You need: §  Bandwidth § 

    Disk storage §  Processing power §  Scalability
  61. Optimal Data Storage and Sharing §  System of record § 

    Institutional Repository §  Web-based Access §  Geo-Enabled Search §  High Performance §  Customize Your Request (Spatial ETL) §  Flexible, Affordable Pricing (Pay as you go) §  IT-Friendly §  Easy Upload Methods §  Generate Revenue
  62. Beyond the SDI §  Focus on sharing has been on

    large national government §  High value sharing and collaboration is with smaller organizations Your Own Personal GeoWeb!
  63. Greater New Orleans Community Data Center

  64. GNOCDC Web – August 2005

  65. No “Geek Squad” Photo credit: the ‘bee log

  66. GNOCDC Staff

  67. GNOCDC Web – June 2009

  68. Caching Maps

  69. None
  70. Sharing Data via Google Maps

  71. Moving Spatial Data Into the Cloud

  72. Technology

  73. Results §  No lock in, supporting standards allows them the

    flexibility to change with technology. §  No longer fighting change, but embracing it
  74. Bringing the World Together

  75. Thank You! §  Questions? §  For more information §  James

    Fee: james.fee@rsparch.com §  RSP Architects: www.rsparch.com §  Other resources §  http://spatiallyadjusted.com §  http://twitter.com/cageyjames