the what why and how of open data
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THE WHAT, WHY AND HOW OF OPEN DATA JENI TENNISON @JENIT TECHNICAL - PowerPoint PPT Presentation

THE WHAT, WHY AND HOW OF OPEN DATA JENI TENNISON @JENIT TECHNICAL DIRECTOR JENI@THEODI.ORG WHAT? WHERE DO YOU GET "DATA"? statistical structured geographic document DATA CAN BE REUSED graphs forms maps snippets DATA CAN BE


  1. THE WHAT, WHY AND HOW OF OPEN DATA JENI TENNISON @JENIT TECHNICAL DIRECTOR JENI@THEODI.ORG

  2. WHAT?

  3. WHERE DO YOU GET "DATA"? statistical structured geographic document

  4. DATA CAN BE REUSED graphs forms maps snippets

  5. DATA CAN BE COMBINED statistical structured geographic document

  6. WHAT DOES "OPEN" MEAN? • for everyone • not limited by funds • not limited by who they are • to do anything • analyse and present in different ways • combine with other data • republish for other people • make money

  7. MOST DATA IS NOT OPEN Landmark's Energy Performance Certificate website http://www.google.com/intl/en-us/help/legalnotices_maps.html

  8. WHY? (1)

  9. GREAT ONLINE SERVICES

  10. APIS EVERYWHERE

  11. WHY DO THEY HAVE APIS? other service happier more services data more more

  12. WHY OPEN DATA? other service happier more services data more more

  13. WHY? (2)

  14. ENCYCLOPEDIAS

  15. CODE

  16. MAPS OpenStreetMap

  17. COMMONS-BASED PEER PRODUCTION "a new model of socio-economic production in which the creative energy of large numbers of people is coordinated (usually with the aid of the Internet) into large, meaningful projects mostly without traditional hierarchical organization"

  18. NETWORKS OF DATA infomediary end user owner infomediary owner end user

  19. WHY OPEN DATA? maintainer work happier more enhanced data less more

  20. HOW?

  21. 1. IDENTIFY THE DATA YOU HAVE

  22. PRIMARY DATA collect • takes effort • maintain collect • maintain • and investment • people • equipment data • examples • Met Office people • book publishers • equipment census

  23. EXHAUST DATA • support activity as usual • no extra effort • no extra cost • examples • till receipts data • phone usage • customer data • accounts as usual

  24. DO YOU OWN IT? created data you own the data you gather you might own data you derived data calculate from others' data you almost certainly don't own data you've got bought data from someone else

  25. IS IT PERSONAL? data that has nothing to do with non-personal people or groups of people summaries of data about people aggregate or groups & their activity data about people or groups & personal their activity

  26. 2. WORK OUT WHAT YOU WANT TO ACHIEVE

  27. OPEN DATA IS A TOOL data

  28. 3. MAKE IT OPEN

  29. CHOOSE A LICENCE attribution & attribution share-alike content data ODC-by ODC-ODbL

  30. ADD THE LICENCE in HTML <a resource="{{database-url}}" rel="license" href="{{licence-url}}"> {{licence-name}} </a> in HTTP Link: <{{licence-url}}>; rel=license

  31. 4. ITERATE & IMPROVE

  32. TECHNICALL Y • standard formats • APIs help some reusers • dumps help other reusers • whole dataset analyses • also provide feeds of changes • links & link relations • pull together disparate sources

  33. HIGH QUALITY OPEN DATA • make it trustworthy • accurate, timely • guaranteed availability • create a community • feedback, including APIs • discussion lists • code libraries

  34. CHALLENGES

  35. WE DON'T KNOW YET • which business models work • which licences drive good behaviour • how to measure open data use • how to make data findable • whether data formats really matter • whether links in data really matter • whether the world is better in the end

  36. @JENIT JENI@THEODI.ORG QUESTIONS?

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