EDF2012 Nigel Shadbolt - Transparency and Open Data

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  • Great presentation Nigel, really describes where we are in 2012 in terms of it 'is not a technical problem' (the RDF family of standards is mature), it is about changing behavior, releasing data that matters and demonstrating how businesses are reducing operational costs and reaching new markets through open government content. Great talk, wish I heard it in person! -Bernadette Hyland
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  • From Data to Decisions: The Power of Information in the Age of the Web of Data This talk will review the technology and trends that underpin our ability to derive intelligence from the data deluge we all face.  It will consider how a systems approach to the Web, its technical and social components, can help.  The role of open data, crowd sourcing and distributed problem solving will be discussed as they relate to your organization.
  • Cholera Bacteria MSRA Bacteria June 9, 2012
  • OS Open Data Overview of our OS Open Data product portfolio. More details obtained through following the links: www.ordnancesurvey.co.uk/opendata www.ordnancesurvey.co.uk/opendata/linkeddata.html
  • UNCLASSIFIED
  • Tom, Gavin and Dan made a paper. A paper where all of the content relates to your postcode. It tells you all about the local area centered around you and would make a lovely welcome greeting to any new arrival. It is a cornucopia of data from allotment waiting time to the time taken to travel to central London to information on local NHS and refuse/recycling centers.
  • EDF2012 Nigel Shadbolt - Transparency and Open Data

    1. 1. Transparency and Open Data:Why Bother?Being also a discourse on some lessons learntProfessor Nigel Shadbolt FREng7th June 2012European Data Forum, Copenhagen Nigel Shadbolt
    2. 2. open the data…
    3. 3. and the applications follow…
    4. 4. at all scales…
    5. 5. around the world…
    6. 6. leading to…• Improved transparency & accountability• Better Public Services• Participation… people enhance, improve, capture the data• Improved efficiency• Creation of social value• Economic value, innovation and growth
    7. 7. Lesson: Open Data…should be non-partisan
    8. 8. “Our ambition is to “We are determined to go further in breakingbecome the world leader down the walled garden of government,in open data, and using technology and information to provideaccelerate the greater transparency…”accountability revolutionthat the internet age hasmade possible.. “My aim is clear: to make the provision of data (with “Greater transparency across reasonable formats and Government is at the heart of our licenses) a routine task of shared commitment to enable the public administrations.” public to hold politicians and public bodies to account
    9. 9. Lesson: Open Data…needs a steady stream of success
    10. 10. Lesson: Open Data…is not a technical problem
    11. 11. It is about changing behaviourUK Public DataPrinciples
    12. 12. However…★ Put your data on the Web with an Open Licence★★ Make it available as structured data★★★ Use open, standard formats★★★★ Use URIs to identify things★★★★★ Link your data to other people’s data
    13. 13. Create, Use and Share URIs• National digital infrastructure being built• URIs for schools, roads, bus stops, post codes, admin boundaries...• Some of the data links across and connects other data together• Key data link points exist
    14. 14. Create, Use and Share URIs• National digital infrastructure being built• URIs for schools, roads, bus stops, post codes, admin boundaries...• Some of the data links across and connects other data together• Key data link points exist
    15. 15. Create, Use and Share URIs• Schools• Post-codes• Government posts• Ministers• Bus stops• :• :
    16. 16. Lesson: Open Data…if it doesn’t scale it will fail
    17. 17. Datasets on data.gov.uk over time
    18. 18. Open Data – the network effect• Network effects – Accessibilitly – Popularisation – Centreless – Timeliness – Convergence Courtesy Mathew Hurst
    19. 19. Lesson: Open Data…needs location, location, location
    20. 20. www.ordnancesurvey.co.uk/opendataSee also: Linked data http://www.ordnancesurvey.co.uk/opendata/linkeddata.html
    21. 21. the connective tissue of open data
    22. 22. 24
    23. 23. Lesson: Open Data…release data that matters
    24. 24. UK Reported Crime Data• A tough data set to release• All reported crime each month• By crime type• At the street level• Police now use the apps themselves
    25. 25. From Schools to Arterial Surgery
    26. 26. Lesson: Open Data…must have a balanced ecosystem
    27. 27. Source Deloitte LLP
    28. 28. Research & h Academic c• The Network Effect Cluster r • for data, people and organisations• A Focal Point • coordinate, convene, link and integrate Business Cluster r s ODI I Public Sector c Clusterr r• The Power of Open • Tech City h y Standards, Data, Licences, SW• Open Data as a Platform for Interna onall Agenciess • Government Cluster r • Business • Research
    29. 29. “The vision is to establish the Open Data Institute as a world leading centre to innovate, exploit and research the opportunities for the UK created by the Government’s Open Data policy.”• Business Innovation• Public Sector Innovation• Training the Open Data Generation• Developing and Researching Open Data• Developing Open Data Standards and Policies• Advisor to Government & International Collaboration
    30. 30. OGD 2.0• We haven’t worked out how to close the feedback loops• Publish out• Acquire or Enhance• Write Back
    31. 31. Lesson: Open Data… needs Business
    32. 32. Economic Value, Innovation and Growth
    33. 33. 39
    34. 34. 40
    35. 35. Lesson: Open Data… isn’t everything
    36. 36. Varieties of Data • Big - Small • Public – Private • Open - Closed • Personal - Non-Personal • Anonymous - Identified • Aggregate - Individual © 2012 Deloitte Global Services Limited
    37. 37. midata Nigel Shadbolt
    38. 38. Personal Data Asset Revolution…
    39. 39. Lesson: Open Data… will need defending
    40. 40. Challenges• Infrastructure• Quality• Interpretation• Security and Privacy• Evidence of impact• Sir Humphrey 2.0
    41. 41. A sample of “data hugging” excuses• 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 might be combined with other data to identify individuals/sensitive information• It will cost too much to put it into a standard format• Our IT suppliers will charge us a fortune to do an ad hoc extract
    42. 42. A sample of “data hugging” excuses• 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• • All these sometimes have some truth in them The data is just too large to be published and used• • website they rationalise OurOftencannot hold files this large the official fear of the unknown• • know the data is wrong We Data owners need to be helped through• • know the data & precedent are your it is wrong We Example is wrong, and people will tell us wherefriends• • know first is wrong, and we will waste valuable resources not licence We For the dataphase, compromise on data 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 might be combined with other data to identify individuals/sensitive information• It will cost too much to put it into a standard format• Our IT suppliers will charge us a fortune to do an ad hoc extract
    43. 43. Lesson: Open Data…keep reminding them
    44. 44. Open Data and the Power of Opennever one driver nor one reason•Open Licences•Open Standards•Open Data•Open Data Principles•Open Participation•Open Minds

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