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Conclusion Maria Jesus Vinuesa

Conclusion Maria Jesus Vinuesa. Why are the Dissemination of statistics so important?. MOTTO : If you don’t use statistics, they don’t exist Only used statistical information is useful statistical information What it means is that dissemination is vital to the statistical process.

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Conclusion Maria Jesus Vinuesa

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  1. Conclusion Maria Jesus Vinuesa 1

  2. Why are the Dissemination of statistics so important? MOTTO: If you don’t use statistics, they don’t exist Only used statistical information is useful statistical information What it means is that dissemination is vital to the statistical process. (Petteri Baer . UNECE) 2

  3. Where are we going? 3

  4. Where are we going? - Where the technology takes us        - Paying special attention to users        - Following the code of practice 4

  5. But, there are limitations… - Human resources        - Economic resources 5

  6. Internet - not only one solution        - It depends on each INE and every moment 6

  7. Publications - not only PDF on the website        - extra value books 7

  8. Users: Dissemination cycle (I. Felegui) INE Users Robust reputation Trust Quality Cooperation 9 8

  9. Objectives, Goals 1.- XML 2.- Mapping 3.- Historical publications on the website 4.- Statistics for the wider public 5.- a Methodology database (data+ metadata integrated) 6.- Microdata on the website 9

  10. More Objectives of particular NSOs 1.- making website more interactive 2.- link print to internet 3.- Website more attractive, user-friendly 4.- Enrich publications 5.- RSS 6.- Bilingual website 10

  11. More Objectives of particular NSOs 7.- Longer time series , regional breakdown 8.- improve design 9.- better use of technology 10.- better search engine 11.- FAQs 11

  12. Limitations, restrictions 1.- Human resources 2.- Economic resources 3.- Traditions, reluctance to changes 4.- Commitment from top-management 5.- Training 12

  13. Limitations of particul NSOs 1.- Emigration of specialists from eastern and central Europe to western 2.- Poor response rates for surveys 13

  14. Thank you for your attention 14

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