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

Transcript

1. REMOVING BARRIERS
   TO DATA SHARING
   James Fee
   RSP Architects
   

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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.
   

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3. The Early Years
   

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4. Data Sharing Required Engineers
   

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5. Computing Was A Team Effort
   

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6. Tape Drive Storage
   

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7. You Were Loved By Your Parents
   

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8. The Floppy Disk
   The cause of and
   solution to all our problems!
   

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9. Floppies Are Not My Friend
   

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10. War Games Was Your
    Favorite Movie
    

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11. Electronic Data Sharing
    

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12. Call Waiting Strikes Again!
    

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13. Usenet Newsgroups
    

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14. The Information Superhighway
    

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15. Safe Software 1996
    

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16. Sharing Data On The Web
    

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17. FTP Reigns Supreme
    

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18. ESRI’s Attempt at Data Sharing
    

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19. Current Data Sharing
    

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20. The Future?
    

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

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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
    

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23. Pick Your Format
    

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24. Findability
    How easy data is to discover or locate
    How well the physical or digital
    environment supports navigation
    and retrieval
    OR
    

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25. Searching DATA.gov
    

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26. Searching
    

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27. Text Search FAIL
    

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28. Nothing?
    

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29. Caching
    §  Temporary storage of frequently accessed
    information
    

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31. No Caching
    

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32. Data.gov is a Great Start
    

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

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34. Open Formats
    §  What is an open format?
    §  DWG/DWF
    §  Personal Geodatabase
    §  File Geodatabase
    §  MIF/TAB
    §  MrSID
    

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35. Open Formats
    §  “Real” open formats
    §  Shapefiles
    §  KML/KMZ
    §  GML
    §  SDF (Spatial Data Format)
    §  SpatiaLite
    §  JPEG 2000
    §  PDF
    §  XML
    

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36. Picking Formats
    Target Audience
    Photo used under creative commons from dotbenjamin
    

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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
    

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38. Data.gov
    

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39. Findability
    

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40. Findability
    

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41. Findability
    

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42. Findability
    

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43. Findability
    

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44. Findability
    

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45. Findability
    

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47. Findability
    

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48. WeoGeo
    Define Spatial Search Area
    

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49. WeoGeo
    Refine Search Criteria
    

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50. WeoGeo
    Choose Data Set
    

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51. WeoGeo
    Preview Data Set
    

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53. WeoGeo
    Preview Data Set
    

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54. We Want Happy Users
    

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

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56. Caching
    §  Ensuring data is available
    

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

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58. Caching
    §  Reduces server loads
    

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59. Which Leads Us to the Cloud
    

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60. Data Sharing is Expensive
    §  You need:
    §  Bandwidth
    §  Disk storage
    §  Processing power
    §  Scalability
    

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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
    

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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!
    

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63. Greater New Orleans Community
    Data Center
    

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64. GNOCDC Web – August 2005
    

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

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66. GNOCDC Staff
    

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67. GNOCDC Web – June 2009
    

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68. Caching Maps
    

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70. Sharing Data via Google Maps
    

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71. Moving Spatial Data Into the
    Cloud
    

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72. Technology
    

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73. Results
    §  No lock in, supporting standards allows
    them the flexibility to change with
    technology.
    §  No longer fighting change,
    but embracing it
    

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74. Bringing the World Together
    

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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
    

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