Idescat on the Google Public Data Explorer: The Why, the What and the near Future. Google Public Data Explorer Day. Eurostat. Luxembourg, 30 June 2011.

1. Idescat on the Google Public Data Explorer: The Why, the What and the near Future Xavier Badosa (@badosa) StatisticalInstitute of Catalonia (Idescat) Google Public Data Explorer Day Eurostat Luxembourg, 30 June 2011

2. Idescat on the Google Public Data Explorer: The Why, the What and the near Future Xavier Badosa (@badosa) Statistical Institute of Catalonia (Idescat) Google Public Data Explorer Day Eurostat Luxembourg, 30 June 2011

3. 7.5 M Barcelona

4. idescat

5. Dissemination products idescat

6. Dissemination products Statistics as platform

7. “Apps” Statistics as platform “O.S.”

8. General-purpose “Apps” Statistics as platform “O.S.”

9. General-purpose “Apps” Third-party “Apps” that solve specific needs Statistics as platform

10. General-purpose “Apps” Third-party “Apps” that solve specific needs REUSE Statistics as platform

11. CC BY REUSE Statistics as platform

12. CC BY APIs REUSE Statistics as platform

13. CC BY APIs Widgets ... REUSE Statistics as platform

14. CC BY APIs Widgets ... GPDE REUSE

15. CC BY APIs Widgets ... GPDE REUSE Very powerful tool

16. “To use again” REUSE

17. “To use again” elsewhere REUSE

18. in a new way “To use again” elsewhere REUSE

19. Malleability elsewhere REUSE

20. Malleability Ease of transformation elsewhere REUSE

21. Malleability Mobility REUSE

22. Malleability Ease of transportation Mobility REUSE

23. Malleability Mobility

24. Malleability Mobility

25. Malleability Mobility

26. Malleability Mobility

27. Malleability highly customizable Mobility

28. highly customizable

29. A single big dataset (vs. many small datasets)

30. are unconnected datasets worlds I feel so lonely! A single big dataset (vs. many small datasets)

31. 1 dataset manysources A single big dataset (vs. many small datasets)

32. 1 dataset many sources

33. 1 dataset many sources

34. Feb. 2011 1 dataset many sources 28 31 DS

35. Feb. 2011 May 2011 1 dataset many sources 28 31 DS 40 DS

36. Feb. 2011 May 2011 1 dataset many sources 35 28 31 DS 40 DS

37. Feb. 2011 May 2011 DOES NOT SCALE 35 28 31 DS 40 DS

39. Employment Barcelona Hierarchical list of places List of metrics Commonvocabularies List of dimensions Available years/months List of sources Users don’t care about datasets

41. 1 dataset many sources data dissemination data visualization

42. 1 existing dataset many sources data dissemination data visualization

43. 1 open existing dataset many sources Machine processable

44. 1 local open dataset many sources

45. 1 local open dataset many sources

46. 988 1 local open dataset many sources Catalonia 1 Counties 41 Municipalities 946

47. 1 local open dataset many sources annual

48. DSPL annual

49. Separation of data & metadata Commonsensical use of XML+CSV DSPL annual

50. Separation of data & metadata Commonsensical use of XML+CSV DSPL easy to automate annual

51. easy to automate annual

52. Full bundle easy to automate annual

53. Catalan municipalities indicators Full bundle 128 files! <10 updated easy to automate annual

54. Full bundle Designed for humans easy to automate annual

55. Single files Designed for machines Write API easy to automate annual

56. The King of API s

57. Single files PUSH Designed for machines Write API easy to automate annual

58. Single files PULL Designed for machines Read easy to automate annual

59. DSPL PULL

60. DSPL PULL

61. DSPL PULL

63. local open many sources annual

65. 53 metrics

66. 4 topics 53 metrics

67. ∑ 4 topics 53 metrics

68. metrics x dimensions 4 topics 53 metrics

69. metrics x dimensions 4 topics 53 metrics population x employment status

70. metrics x dimensions 4 topics 53 metrics population x employment status

71. metrics x dimensions population x employment status ! These aren’t metrics

72. Tooclose data model user interface ! These aren’t metrics

73. topics

74. topics related metrics Better derived metrics

75. 30 dimensions 946 mun. 53 metrics 41 counties 4 topics

76. 30 dimensions 946 mun. 53 metrics 41 counties 4 topics 3 languages

77. highly customizable

83. Malleability highly customizable

84. Malleability highly customizable Mobility

85. embeddable Mobility

86. embeddable Mobility

87. embeddable Mobility

88. embeddable Mobility

89. embeddable Mobility

90. embeddable Mobility

91. embeddable Mobility Reversing thecommunication initiative

92. Idescat Users Mobility Reversing thecommunication initiative

93. Analytics Dashboard embeddable Mobility Reversing thecommunication initiative

94. Analytics Dashboard embeddable Mobility There’s no GPDE analyticsdashboard!

95. Analytics Dashboard # installs, # visits/visitors installs with + visits/visitors info with + visits/visitors chart with + visits/visitors ...

97. embeddable Mobility

98. embeddable Mobility 3S

99. 3S Youtubify yourself

100. 3S

101. http://www.google.com/publicdata/explore?ds=z1foifl1a0gsn2_&ctype=l &strail=false&nselm=h&met_y=f_pop&hl=en&dl=en#ctype=c&strail=false &nselm=s&met_y=f_pop_percent&fdim_y=birth_place:Abroad&scale_y=lin &ind_y=false&ifdim=mun&hl=en&dl=en http://goo.gl/XtpLa http://goo.gl/pd/XtpLa http://gp.de/z1foifl1a0gsn2_?8vH Shorten 3S

102. Shorten 3S Share

103. Shorten 3S Share

104. Shorten Share

105. Support oEmbed Shorten Share

106. Support oEmbed via Shorten Share

107. Support oEmbed Shorten Share

108. Malleability idescat Mobility REUSE

109. Malleability idescat Mobility REUSE Google APIs

110. Better discovery Automatic updates Easierembedding A N A L Y T I C S

114. pageviews? visits? unique visitors? Whatabout ourwebsite’s success?

115. pageviews? visits? unique visitors? Success metrics?

116. pageviews? visits? unique visitors? Business model? Success metrics?

117. pageviews? visits? unique visitors? Business model? Success metrics?

118. pageviews? Wedon’toperate in the eyeballmarket visits? uniquevisitors? Business model? Success metrics?

119. pageviews? Wedon’toperate in the eyeballmarket visits? uniquevisitors? Weoperate in the reference market Business model? Success metrics?

120. maximum data exposure & reach reference market

121. maximum data exposure & reach reference market accuracypreservation

122. maximum data exposure & reach reference market accuracypreservation brandrecognition

127. ThankYou ! Seealso: Statisticaldissemination 2.0

128. borman818 / Daniel Borman JoshBancroft jakevance / Jacob Vance Prizmatic Cristian Torras Mick ㋡rlosky Michelle Kinsey Bruns Niamor83 Clarissa Rossarola

129. WikimediaCommons NASA http://en.wikipedia.org/wiki/File:The_Earth_seen_from_Apollo_17.jpg NuclearVacuum http://en.wikipedia.org/wiki/File:The_Earth_seen_from_Apollo_17.jpg Mutxamel / HansenBCN http://en.wikipedia.org/wiki/File:Localizaci%C3%B3n_de_Catalu%C3%B1a.svg Authorunknown http://www.taltopia.com/media/6/6374/SPERM-ART.jpg Maps © by Google and TeleAtlas PD