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Data, Data Everywhere 2010 Annual Meeting

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Data, Data Everywhere 2010 Annual Meeting

  1. 1. Data, Data Everywhere But not a dataset to be found! Toby Green Head of Publishing, OECD Credibility in Scholarly Communications CrossRef Annual Meeting, London, November 16th 2010
  2. 2. = ? +
  3. 3. I take as my text today . . .
  4. 4. . . . which showed how readers find journal articles . . .
  5. 5. . . . scientifically.
  6. 6. The Survey found . . . You’ve already got in hand. 11 different ways are used
  7. 7. . . . and where do you start searching? 11 different starting points Specialist bibliographic databases beat Google
  8. 8. >95% of the time
  9. 9. Discovery web
  10. 10. Discovery web Therefore can we conclude that data objects get this much discoverability?
  11. 11. Equal opportunities for data! Equal rights for data! NOW!
  12. 12. What does it take to make data equal?  Dataset home page with DOI  Datasets in aggregation platforms  Alerts when new data is released  More data from us!  Links from statistician’s home page  Datasets listed on sites like arXiv?  MARC records for OPACs  Datasets in A&I services  Links from statistical societies And this is a lot of work!
  13. 13. ScienceD irect OPACs Grey Stuff Networked ebooks and ejournals Periodicals Books Working Papers Datasets Data Tables And this was a lot of work too!
  14. 14. Networked ebooks and ejournals
  15. 15. 710 Datasets 10,081 Tables And every single one with equal bibliographic status to books, journals and working papers.
  16. 16. And because we’re using the same bibliographic systems . . .  Dataset home page with DOI  Datasets in IngentaConnect  Alerts when new data is released  More data from us!  Links from statistician’s home page  Datasets on Repec  MARC records for datasets  Datasets in EconLit  Links from statistical societies         
  17. 17. And finally . . . http://statlinks.oecdcode.org/ In case, you think we’ve wasted our time and readers still can’t find our data
  18. 18. Thank you Inger S., Gardner T., How Readers Navigate to Scholarly Content http://www.sic.ox14.com/ A white paper describing the metadata schema used for OECD datasets and tables is available at: http://doi.org/abr www.oecd-ilibrary.org

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