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Statistical Dissemination 2.0? Xavier Martín Badosa www.idescat.cat Statistical Institute of Catalonia Madrid, April 29, 2...
Web 2.0 is the network as  platform , spanning all connected devices; Web 2.0 applications are those that make the most of...
Web 2.0 is the network as  platform , spanning all connected devices; Web 2.0 applications are those that make the most of...
Web 2.0 is the network as  platform , spanning all connected devices; Web 2.0 applications are those that make the most of...
 
 
 
 
Web 2.0 is the network as  platform , spanning all connected devices; Web 2.0 applications are those that make the most of...
 
Web 2.0 is the network as  platform , spanning all connected devices; Web 2.0 applications are those that make the most of...
Web 2.0 is the network as  platform , spanning all connected devices; Web 2.0 applications are those that make the most of...
Web 2.0 is the network as  platform , spanning all connected devices; Web 2.0 applications are those that make the most of...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
 
 
 
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
http://www.housingmaps.com
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
 
 
 
 
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
Taskfox “ a project to uplift some of the things that were learnt from the Ubiquity project into a future version of Firef...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
consuming and remixing data from multiple sources, including individual users, while providing their own data and services...
8 principles of open government data consuming and remixing data from multiple sources, including individual users, while ...
5 Machine processable Data are reasonably structured to allow automated processing. consuming and remixing data from multi...
Create a Transparent and Connected Democracy http://www.barackobama.com/issues/technology/ Making  government data availab...
It would be preferable for government to understand providing  reusable data , rather than  providing websites , as the co...
Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing th...
Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing th...
Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing th...
Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing th...
Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing th...
Stats Dissemination 2.0? micro-RSS consuming and remixing data from multiple sources, including individual users, while pr...
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2 Source? Series? Spain? How many? t, max, min, id
2 proxy interface statistics cache unification, simplification, error  handling, documentation… cache lang charset format ...
2 proxy cache cache lang charset format  (syntax) XML JSON sPHP Semantics ad hoc SDMX?, XBRL?, CoSSI?, DDI?, Scovo?, Atom+...
2 proxy cache D E V E L O P E R S data servlet
2 proxy cache Documentation D E V E L O P E R S data servlet
2 proxy cache Documentation Blog D E V E L O P E R S data servlet
2 proxy cache Documentation Blog Terms of service D E V E L O P E R S data servlet
 
 
D  A  T  A
API D  A  T  A
API D  A  T  A
API D  A  T  A
API … D  A  T  A
 
 
 
 
 
2 proxy cache Documentation Blog Terms of service D E V E L O P E R S data servlet
2 proxy cache Documentation Blog Terms of service Widget E V E R Y B O D Y data servlet
2 proxy cache Documentation Blog Terms of service Widget E V E R Y B O D Y data servlet
2 proxy cache Wizard Blog Terms of service Widget E V E R Y B O D Y data servlet
2 proxy cache Wizard Terms of service Widget E V E R Y B O D Y data servlet
 
Captive audience Users come to Idescat
Captive audience Users come to Idescat
Captive audience Users come to Idescat Idescat goes to users
 
Spreadings atoms of our website in the digital space
Spreadings atoms of our website in the digital space
Spreadings atoms of our website in the digital space + strengthening our brand + better service to users + forwarding traf...
From the web… To everybody’s pockets
From the web… To everybody’s pockets And maybe to  the  living room
 
Thanks
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Statistical dissemination 2.0

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Presentation for the ESTP Course on Dissemination Statistics: Internet and Publication. 27-29 April 2009, Madrid (Spain)

Published in: Technology

Transcript of "Statistical dissemination 2.0"

  1. 1. Statistical Dissemination 2.0? Xavier Martín Badosa www.idescat.cat Statistical Institute of Catalonia Madrid, April 29, 2009
  2. 2. Web 2.0 is the network as platform , spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: Web 2.0 http://radar.oreilly.com/archives/2005/10/web_20_compact_definition.html
  3. 3. Web 2.0 is the network as platform , spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: Web 2.0 http://radar.oreilly.com/archives/2005/10/web_20_compact_definition.html delivering software as a continually-updated service that gets better the more people use it , 1
  4. 4. Web 2.0 is the network as platform , spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: Web 2.0 User-generated content http://radar.oreilly.com/archives/2005/10/web_20_compact_definition.html delivering software as a continually-updated service that gets better the more people use it , 1
  5. 9. Web 2.0 is the network as platform , spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: http://radar.oreilly.com/archives/2005/10/web_20_compact_definition.html Web 2.0 User-generated content Data mining of user activity delivering software as a continually-updated service that gets better the more people use it , 1
  6. 11. Web 2.0 is the network as platform , spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: http://radar.oreilly.com/archives/2005/10/web_20_compact_definition.html and going beyond the page metaphor of Web 1.0 to deliver rich user experiences . 3 Web 2.0 User-generated content Data mining of user activity delivering software as a continually-updated service that gets better the more people use it , 1
  7. 12. Web 2.0 is the network as platform , spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: http://radar.oreilly.com/archives/2005/10/web_20_compact_definition.html and going beyond the page metaphor of Web 1.0 to deliver rich user experiences . 3 Web 2.0 Interface design User-generated content Data mining of user activity delivering software as a continually-updated service that gets better the more people use it , 1
  8. 13. Web 2.0 is the network as platform , spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: http://radar.oreilly.com/archives/2005/10/web_20_compact_definition.html Web 2.0 delivering software as a continually-updated service that gets better the more people use it , 1 consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 and going beyond the page metaphor of Web 1.0 to deliver rich user experiences . 3
  9. 14. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  10. 15. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  11. 16. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  12. 17. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  13. 18. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  14. 19. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Use our stuff to build your stuff
  15. 20. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Build applications with the Guardian Use our stuff to build your stuff
  16. 21. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Build applications with the Guardian Use our stuff to build your stuff All the Code That’s Fit to printf()
  17. 22. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Build applications with the Guardian Use our stuff to build your stuff All the Code That’s Fit to printf() Newspapers don’t look like newspapers anymore!
  18. 23. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Build applications with the Guardian Use our stuff to build your stuff All the Code That’s Fit to printf() Newspapers don’t look like newspapers anymore! Why?
  19. 24. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  20. 25. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  21. 26. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs
  22. 27. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom =
  23. 28. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website
  24. 29. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource
  25. 33. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource
  26. 34. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource to mix
  27. 35. http://www.housingmaps.com
  28. 36. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource to mix
  29. 37. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource from the browser to mix
  30. 38. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource from the browser to avoid it to mix
  31. 43. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource from the browser to avoid it to mix
  32. 44. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource from the browser to avoid it to improve it to mix
  33. 45. Taskfox “ a project to uplift some of the things that were learnt from the Ubiquity project into a future version of Firefox”
  34. 46. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource from the browser to avoid it to improve it to mix
  35. 47. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource from the browser to avoid it to improve it to mix = wider dissemination
  36. 48. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 APIs freedom = from the source website to outsource from the browser to avoid it to improve it to mix = wider dissemination
  37. 49. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Everybody!
  38. 50. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Everybody! What about the Government?
  39. 51. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 http://www.freeourdata.org.uk
  40. 52. 8 principles of open government data consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 http://www.opengovdata.org
  41. 53. 5 Machine processable Data are reasonably structured to allow automated processing. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an "architecture of participation," 2
  42. 54. Create a Transparent and Connected Democracy http://www.barackobama.com/issues/technology/ Making government data available online in universally accessible formats to allow citizens to make use of that data to comment, derive value, and take action in their own communities. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  43. 55. It would be preferable for government to understand providing reusable data , rather than providing websites , as the core of its online publishing responsibility. consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2 Government Data and the Invisible Hand http://ssrn.com/abstract=1138083 David Robinson, Harlan Yu, William P. Zeller, Edward W. Felten Yale Journal of Law & Technology, Vol. 11, 2008
  44. 56. Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  45. 57. Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  46. 58. Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  47. 59. Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  48. 60. Stats Dissemination 2.0? consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  49. 61. Stats Dissemination 2.0? micro-RSS consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others , creating network effects through an “architecture of participation,” 2
  50. 62. 2
  51. 63. 2
  52. 64. 2
  53. 65. 2
  54. 66. 2
  55. 67. 2
  56. 68. 2
  57. 69. 2
  58. 70. 2 Source? Series? Spain? How many? t, max, min, id
  59. 71. 2 proxy interface statistics cache unification, simplification, error handling, documentation… cache lang charset format (syntax) XML JSON sPHP 1,2,3,4… data servlet data servlet data servlet data servlet data servlet data servlet
  60. 72. 2 proxy cache cache lang charset format (syntax) XML JSON sPHP Semantics ad hoc SDMX?, XBRL?, CoSSI?, DDI?, Scovo?, Atom+extensions...? 1,2,3,4… data servlet data servlet data servlet data servlet data servlet data servlet
  61. 73. 2 proxy cache D E V E L O P E R S data servlet
  62. 74. 2 proxy cache Documentation D E V E L O P E R S data servlet
  63. 75. 2 proxy cache Documentation Blog D E V E L O P E R S data servlet
  64. 76. 2 proxy cache Documentation Blog Terms of service D E V E L O P E R S data servlet
  65. 79. D A T A
  66. 80. API D A T A
  67. 81. API D A T A
  68. 82. API D A T A
  69. 83. API … D A T A
  70. 89. 2 proxy cache Documentation Blog Terms of service D E V E L O P E R S data servlet
  71. 90. 2 proxy cache Documentation Blog Terms of service Widget E V E R Y B O D Y data servlet
  72. 91. 2 proxy cache Documentation Blog Terms of service Widget E V E R Y B O D Y data servlet
  73. 92. 2 proxy cache Wizard Blog Terms of service Widget E V E R Y B O D Y data servlet
  74. 93. 2 proxy cache Wizard Terms of service Widget E V E R Y B O D Y data servlet
  75. 95. Captive audience Users come to Idescat
  76. 96. Captive audience Users come to Idescat
  77. 97. Captive audience Users come to Idescat Idescat goes to users
  78. 99. Spreadings atoms of our website in the digital space
  79. 100. Spreadings atoms of our website in the digital space
  80. 101. Spreadings atoms of our website in the digital space + strengthening our brand + better service to users + forwarding traffic to our website
  81. 102. From the web… To everybody’s pockets
  82. 103. From the web… To everybody’s pockets And maybe to the living room
  83. 105. Thanks
  84. 106. ?

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