1. Why?

Learn about web 2.0

1. Why ? Make statistics useful

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

2. Existing dissemination web sites

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

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

3. Outcomes Demo?

3. Outcomes Traffic: significant

3. Outcomes Interactions with users: disappointing

3. Outcomes reactions: many

4. Lessons learned

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.

4. Lessons learned Writing for the web

On paper : simple, clean layout

But on the web… 4 screens long

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

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

4. Lessons learned The impact of exposure

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

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…

Exposure And so on…

Exposure And so forth…

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

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

4. Lessons learned 2-way communication

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

5. What’s next?