Open Data Repositories

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Presentation at SPINCAM Meeting, May 2014, Guayaquil

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Open Data Repositories

  1. 1. Open Data Repositories Xavier Ochoa
  2. 2. http://www.slideshare.net/xaoch Steal this presentation!
  3. 3. Open data is information that is available for anyone to use, for any purpose, at no cost.
  4. 4. Good Open Data • can be linked to, so that it can be easily shared and talked about • is available in a standard, structured format, so that it can be easily processed • has guaranteed availability and consistency over time, so that others can rely on it • is traceable, through any processing, right back to where it originates, so others can work out whether to trust it
  5. 5. From Open Access to Open Data Documents are not enough
  6. 6. http://datadryad.org/
  7. 7. http://thedata.harvard.edu/
  8. 8. http://www.data.gov/
  9. 9. http://www.ecuadorencifras.gob.ec/
  10. 10. Any institution could publish open data Specially big institutions
  11. 11. http://data.un.org/
  12. 12. http://www.nodc.noaa.gov/OC5/WOD/pr_wod.html
  13. 13. http://www.iode.org/
  14. 14. Where to find Open Data?
  15. 15. http://datahub.io/
  16. 16. http://www.re3data.org/
  17. 17. http://databib.org/
  18. 18. http://www.datacite.org/
  19. 19. Sounds good… What to do to open my data?
  20. 20. Three guidelines • Keep it simple • Engage early and often • Address common fears and misunderstandings
  21. 21. Four Steps • Choose your dataset(s) • Licensing • Make the data available • Make it discoverable
  22. 22. Chose Dataset • Asking the community • Cost basis • Ease of release • Observe peers
  23. 23. Licensing
  24. 24. Data that doesn’t explicitly have an open license is NOT open data.
  25. 25. Ownership • you get copyright over works (content) that you create and which are original to you, such as text that you write or photographs you take • you get a database right over collections of data that you have put a substantial effort into obtaining, verifying or presenting (only EU, Mexico, Brazil)
  26. 26. Open Licenses Creative Content
  27. 27. Open Licenses for Databases
  28. 28. http://opendatacommons.org/
  29. 29. Make the data available
  30. 30. Technical Availability • Data should be complete • In a (open) machine-readable format • It should contain metadata
  31. 31. How to make it available? • Your website • Existing repositories • Creating your own repository
  32. 32. Open Data Repositories • Similar to Open Access Repositories • Metadata support is different that for documents • Should support different types of data
  33. 33. http://ckan.org/
  34. 34. http://github.com/datadryad
  35. 35. http://aims.fao.org/tools/agridrupal
  36. 36. Making it Discoverable • Publish it in Public services (Datahub) • Index it in Catalog (Databib) • Promote it in your community • Engage with users
  37. 37. Conclusions • Open Data is the new movement among Open Access movement • Mature enough to start using/contributing • It is more a political than a technical decision at this point • Main issue: Why it is valuable for me?
  38. 38. Gracias / Thank you / Obrigado Xavier Ochoa xavier@cti.espol.edu.ec http://ariadne.cti.espol.edu.ec/xavier Twitter: @xaoch

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