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The Uses of Open Data


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  • 1. The Uses of Open DataAndrew StottUK Transparency Boardformerly Director, UK Deputy GCIO @dirdigengSkopje, Macedonia andrew.stott@dirdigeng.com21 March 2012 0.91
  • 2. A World of Open Data 2
  • 3. 3
  • 4. Federal Government, USA 4
  • 5. United Kingdom Government 5
  • 6. Australia 6
  • 7. Moldova 7
  • 8. Kenya – first in Africa 8
  • 9. World Bank 9
  • 10. London, United Kingdom 10
  • 11. City of Vancouver, Canada 11
  • 12. City of Rennes, France 12
  • 13. City of San Francisco, USA 13
  • 14. City of Vienna, Austria 14
  • 15. A World of Open Data Now over 200 governmental Open Data sites 15
  • 16. Some UK Examples 16
  • 17. New economic and social value 17
  • 18. Cleansing and organising data Business Intelligence from item-level purchasing data 18
  • 19. Information services to the public Weather, transport and public facilities among most downloaded Smartphone Apps 19
  • 20. Data Mining  Prescription data  Patient outcome data  Longitudinal health records  Pupil-level education records 20
  • 21. Operational efficiency/optimisationReal time info on road delays and roadworks allowslogistics efficiency 21
  • 22. Financial Products  Weather Risk Management (US: $4bn annual contracts value)  Flood insurance on detailed topography and river records 22
  • 23. Customer attraction and retention estate agents/ realtors Financial services builders and other local services Local house prices attract potential customers 23
  • 24. Public Service data as a hub for civilengagement 24
  • 25. Improving Public Services 25
  • 26. Nation-wide Crime DataVision: CrimeArrestConvictionSentence 26
  • 27. Crime Data to your mobile phone 27
  • 28. Crowd-sourcing to improve official data 28
  • 29. Government is a data user too 29
  • 30. Transparent and Accountable Government 30
  • 31. Transparent and Accountable Government 31
  • 32. Pressure to justify and restrain costs 32
  • 33. Transparency promoting sustainability 33
  • 34. Public scrutiny of contracts 34
  • 35. Data Journalism 35
  • 36. Lessons learned 36
  • 37. Top-level political support essential“Greater transparency “Public informationwill enable the public does not belong toto hold politicians and Government, itpublic bodies to belongs to theaccount” public.” 37
  • 38. Strong civil society ―demand-side‖ vital too 38
  • 39. Passionate team important too! 39
  • 40. Deliver incrementally 40
  • 41. Ensure clear, common, licensing 41
  • 42. It’s not (just) an IT project!CIOs can give leadership, but CIOs/IT Directors often do not “own” the data Key issues are business, policy and politics: don’t let policy makers brand it as “just IT” Keep the IT simple ‒ Established open source (eg CKAN+Drupal) or commercial products (eg Socrata) ‒ use existing contracts/infrastructure with niche firms ‒ host data on existing websites or on public Cloud 42
  • 43. Don’t accept ―no‖ — work out ―how‖ 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 43
  • 44. It’s not just about new dataScope for “Open Data” also includes datapreviously “published” but … in non-reusable format with restricted licence only aimed at specialist groups only for payment only in response to requests difficult to find contains a lot of data which nobody knew was already published 44
  • 45. The importance of location 45
  • 46. Data Quality  Release of data will reveal issues of data quality  Celebrate greater checking of data!  Use as stimulus to  Measure  Prioritise  Improve 46
  • 47. Continuously engage with developersPhotos: @memespring, 47@MadLabUK, @paul_clarke
  • 48. .. and highlight applications, not data 48
  • 49. Open Government Data Re-Use Model Government Business/Civil Society Consumer Government should not do more than strictly necessary Improve Gov data Aggregation Processing, MarketingData Creation and editing and End Use and delivery Organisation packaging Specialist Specialist Specialist Specialist Services Services Services Services 49
  • 50. Open Data Institute: its mission Develop capability of UK businesses to exploit value of Open Data Engage developers/small businesses to build Open Data supply chains and commercial outlets Help public sector use its own data more effectively Ensure academic research in Open Data technologies 50
  • 51. Summary Open Data has Triple Objectives: Transparency + Public Services + Economics Varied, innovative business/social models ―Push‖ and ―Pull‖ of data Business and Civil Society engagement is essential ‒ Important to grow open data “ecosystem” Data flow can be both ways 51
  • 52. Questions? 52
  • 53. End 53