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1. Why?. Learn about web 2.0 1. Why ? Make statistics useful.

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Presentation on theme: "1. Why?. Learn about web 2.0 1. Why ? Make statistics useful."— Presentation transcript:

1 1. Why?

2 Learn about web 2.0

3 1. Why ? Make statistics useful

4 Students Citizens Generalist media … anyone ! Students Citizens Generalist media … anyone ! Academics Policy makers Specialized media Academics Policy makers Specialized media 1. Why ? Reach a wider audience Statisticians

5 2. Existing dissemination web sites

6 Interest for dissemination sites Number of people who have bookmarked these home pages on del.icio.us Source: del.icio.us

7 2. Existing dissemination web sites DesignAccuracy Access to sources, to add’l info Easy to use Easy to download Easy to publish online OECD - +++ - ++ --- Almanacs + - --- ++ -- --- Encyclopaedias + - - + -- --- Swivel Many Eyes +++ ++ + +++

8 3. Outcomes Demo?

9 3. Outcomes Traffic: significant

10 3. Outcomes Interactions with users: disappointing

11 3. Outcomes reactions: many

12 4. Lessons learned

13 Students Citizens Generalist media … anyone ! Students Citizens Generalist media … anyone ! Academics Policy makers Specialized media Academics Policy makers Specialized media Statisticians Very different expectations from our different groups.

14 4. Lessons learned Writing for the web

15 On paper : simple, clean layout

16 But on the web… 4 screens long

17 This is a typical Swivel graph, 5 data points supported by 2 sentences of text.

18 We need to adapt our content to publish on the web.

19 4. Lessons learned The impact of exposure

20 Exposure First twelve datasets appear on the 1 st page. They are all visible.

21 Exposure Newer datasets will have fewer visits than the 1 st twelve, so they won’t appear on the 1 st page… so they will get fewer visits…

22 Exposure And so on…

23 Exposure And so forth…

24 Comparison with the OECD system PublicationVolumeChapterTable Drill down to get your data DatabasecomponentDatasetTable

25 Comparison with the OECD system Both systems have an arbitrary bias Traffic goes to tables of high-profile publications Traffic goes to well- established tables OECDSwivel

26 4. Lessons learned 2-way communication

27 Which is easier to interact with? Hundreds of tables and graphs One table or graph at a time

28 5. What’s next?


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