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Enhancing Data Dissemination: Lessons from Web 2.0 Experiences

This article explores the effectiveness of existing web dissemination sites and the lessons learned from utilizing Web 2.0 tools for making statistics more accessible and engaging. We analyze different audiences including students, academics, policymakers, and the general public, emphasizing their varying expectations. Key outcomes highlight significant traffic yet disappointing interactions and reactions. Insights suggest the need for adapting content for online visibility and improving 2-way communication in data sharing. The future of data dissemination must address these challenges for broader engagement.

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Enhancing Data Dissemination: Lessons from Web 2.0 Experiences

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  1. 1. Why?

  2. 1. Why ? Learn about web 2.0

  3. 1. Why ? Make statistics useful

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

  5. 2. Existing dissemination web sites

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

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

  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. 4. Lessons learned Students Citizens Generalist media … anyone ! • 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 1st page. They are all visible.

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

  22. Exposure And so on…

  23. Exposure And so forth…

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

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

  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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