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Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
Open Data: presentation to NTT Data seminar
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Open Data: presentation to NTT Data seminar

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Transcript

  • 1. Open Data Andrew Stott UK Transparency Board formerly Director, data.gov.uk Edinburgh 19 July 2013 0.1 @dirdigeng andrew.stott@dirdigeng.com
  • 2. 2
  • 3. 3
  • 4. 4
  • 5. What is Open Data? 5 Open data is data that can be freely used, reused and redistributed by anyone for any purpose.
  • 6. 6
  • 7. 7
  • 8. 8
  • 9. 9
  • 10. 10
  • 11. 11
  • 12. 12 estate agents/ realtors Financial services builders and other local services
  • 13. 13
  • 14. 14
  • 15. Economic Value of Open Data  Open Gov Data in EU would increase business activity by up to €40 bn/year  EU Direct & indirect benefits up to €140 bn/year (0.7% of GDP)  Spanish study found ~€600m of business from open data with >5000 jobs  Australian study: ~500% ROI from open data  Deloitte found open data was reused 10x-100x more than charged-for data 15 All economic analysis and case studies point the same way
  • 16. Open Data as a Transport Investment 16 TFL Open Data ROI = 58:1 HS2 ROI = 1.4:1 (if we’re lucky)
  • 17. 17
  • 18. EU “Open Government Data” Directive 18
  • 19. 19
  • 20. 20
  • 21. National Information Infrastructure  Global Positioning System data now has $122bn/yr benefits to US economy alone  UK National Mapping Agency data supports £100bn/yr of GDP activity  Open Weather Data in US has created 400 companies employing 4000 people  Open addressing data in Denmark now gives €14m/yr benefits and 70:1 ROI 21
  • 22. Government can be an Open Data user too 22
  • 23. 23
  • 24. Performance of individual schools 24
  • 25. Performance of individual hospitals 25 12+ Weeks MRSA-free Good C-Diff recordLow Mortality 2 recent MRSA Blood clots Patient ratings
  • 26. 1000 less heart surgery deaths each year 26
  • 27. Performance of local police and courts 27
  • 28. 28
  • 29. 29
  • 30. Citizen-sourced data 30 #uksnow TN13 4/10
  • 31. Open Data improving public services  Publishing the UK’s 240 cardiac surgeons’ individual clinical outcomes reduced deaths by 1000 a year  1000s of apps delivering public transport information in the United States – 68 in New York alone  UK released data on location of 300,000 bus-stops; OpenStreetMap corrected 18,000 of them, improving official data accuracy.  Sharing Open Data within public agencies in Manchester (city of 2.6m people) saves US$14m/yr  Open Data on public agency purchasing has allowed a “whole of government” view to get best prices and performance from key suppliers 31
  • 32. 32
  • 33. Transparent and Accountable Government 33
  • 34. Is My Money Being Spent Well? 34
  • 35. 35
  • 36. Organisational Transparency 36 Where the person is in the structure Pay Responsibil Contact details
  • 37. International Corporate Transparency 37
  • 38. Open Data for Accountability  Open Data exposed CAN$3.2bn misuse of charitable status in tax code in Canada  Publishing UK Senior Civil Servants’ expenses reduced claims by ~40-50%  Open Data exposed racial discrimination in water supply in Zanesville, United States – victims won $10.9m compensation  UK civil service pay data exposed people paid twice as much as the Head of the Civil Service and three times as much as the Prime Minister 38
  • 39. Some Challenges 39
  • 40. Everyone thinks that they are an exception  It’s held separately by n different organisations, and we can’t join it up  It will make people angry and scared without helping them  It is technically impossible  We do not own the data  The data is just too large to be published and used  Our website cannot hold files this large  We know the data is wrong  We know the data is wrong, and people will tell us where it is wrong  We know the data is wrong, and we will waste valuable resources inputting the corrections people send us  People will draw superficial conclusions from the data without understanding the wider picture  People will construct league tables from it  It will generate more Freedom of Information requests  It will cost too much to put it into a standard format  It will distort the market  Our IT suppliers will charge us a fortune to do an ad hoc extract 40
  • 41. Release data people want 41
  • 42. Ensuring reusability as well as accessibility 42
  • 43. When Open is not Open 43 “You shall not use the data made available through the GC Open Data Portal in any way which, in the opinion of Canada, may bring disrepute to or prejudice the reputation of Canada.”
  • 44. Common standard for common things 44
  • 45. Patchy across borders 45
  • 46. Citadel Project  Sense location  Locate data repository  Search for required data  Obtain metadata  Build strategy and tool chain to use the data  Access data, convert, and display it  Now over to the user
  • 47. Privacy 47
  • 48. End 48
  • 49. 49

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