Getting started-with-open-data

549 views

Published on

Getting started with (publishing) open data as an organisation.

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
549
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Getting started-with-open-data

  1. 2. Getting started with Open Data Offer open data sets Organise app contests and hack days Build a hacker network Build an innovation network Be an innovative movement
  2. 3. 1) Choose data sets <ul><li>Data sets you already publish
  3. 4. Produced by yourself
  4. 5. Easy to be made available
  5. 6. Check with stakeholders
  6. 7. Check privacy and security concerns </li></ul>
  7. 8. 2) Apply an open license <ul><li>Determine intellectual property rights
  8. 9. Identify owners of data set
  9. 10. Choose an appropriate license </li><ul><li>Open Database License
  10. 11. Creative Commons “Attribution Share-Alike”
  11. 12. Check www.opendefinition.org </li></ul><li>Get approval of owners </li></ul>
  12. 13. 3) Make the data available <ul><li>A dump of the database: once, regularly
  13. 14. An API: big data sets, real-time data
  14. 15. Select a proper format
  15. 16. 5-Star Scheme </li><ul><li>Make it available under an open license
  16. 17. Make it available as structured data
  17. 18. Use a non-proprietary format
  18. 19. Use URIs to identify things to let others link to you
  19. 20. Link your data to other data sets </li></ul></ul>
  20. 21. 4) Make the data discoverable <ul><li>Link to it from your own website
  21. 22. Set up data.yourorganisation.org (or a page)
  22. 23. Add a link to open data registries </li><ul><li>CKAN.net
  23. 24. IATIregistry.net
  24. 25. Search4dev </li></ul><li>Announce to mailing lists, LinkedIn groups, etc </li></ul>
  25. 26. Principles <ul><li>Keep it simple
  26. 27. Engage early and engage often
  27. 28. Address common fears and misunderstandings
  28. 29. Appoint dataset owners and connect them
  29. 30. Identify strategic areas to share data
  30. 31. Arrange licensing of materials by staff and contractors
  31. 32. Make “open formats” part of IT projects </li></ul>
  32. 33. Read more... <ul><li>opendatamanual.org
  33. 34. opendefinition.org
  34. 35. opendatacommons.org
  35. 36. ckan.net
  36. 37. opendatasearch.org </li></ul>
  37. 38. ODDC Amsterdam, 12 and 13 May

×