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EDF2012 Nigel Shadbolt - Transparency and Open Data
This document discusses lessons learned from open data initiatives. It argues that open data should be non-partisan and aims to increase transparency, accountability, and participation. Open data needs a steady stream of successes, to scale up, and to include high-value datasets that matter to people. A balanced open data ecosystem is needed with business, research, government, and technical components. While open data enables benefits, it also faces challenges regarding infrastructure, quality, security, and measuring impact. The document advocates keeping open data principles at the forefront.
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EDF2012 Nigel Shadbolt - Transparency and Open Data
- 1. Transparency and OpenData: Why Bother? Being also a discourse on some lessons learnt Professor Nigel Shadbolt FREng 7th June 2012 European Data Forum, Copenhagen Nigel Shadbolt
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- 3. and the applicationsfollow…
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- 6. leading to… • Improvedtransparency & accountability • Better Public Services • Participation… people enhance, improve, capture the data • Improved efficiency • Creation of social value • Economic value, innovation and growth
- 7. Lesson: Open Data… shouldbe non-partisan
- 8. “Our ambition isto “We are determined to go further in breaking become the world leader down the walled garden of government, in open data, and using technology and information to provide accelerate the greater transparency…” accountability revolution that the internet age has made 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. Lesson: Open Data… needsa steady stream of success
- 12. Lesson: Open Data… isnot a technical problem
- 13. It is aboutchanging behaviour UK Public Data Principles
- 14. 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
- 15. Create, Use andShare 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
- 16. Create, Use andShare 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
- 17. Create, Use andShare URIs • Schools • Post-codes • Government posts • Ministers • Bus stops • : • :
- 18. Lesson: Open Data… ifit doesn’t scale it will fail
- 19. Datasets on data.gov.ukover time
- 20. Open Data –the network effect • Network effects – Accessibilitly – Popularisation – Centreless – Timeliness – Convergence Courtesy Mathew Hurst
- 21. Lesson: Open Data… needslocation, location, location
- 22. www.ordnancesurvey.co.uk/opendata See also: Linkeddata http://www.ordnancesurvey.co.uk/opendata/linkeddata.html
- 23. the connective tissueof open data
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- 26. Lesson: Open Data… releasedata that matters
- 27. UK Reported CrimeData • A tough data set to release • All reported crime each month • By crime type • At the street level • Police now use the apps themselves
- 31. From Schools toArterial Surgery
- 32. Lesson: Open Data… musthave a balanced ecosystem
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- 34. 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
- 35. “The vision isto 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
- 36. OGD 2.0 • Wehaven’t worked out how to close the feedback loops • Publish out • Acquire or Enhance • Write Back
- 37. Lesson: Open Data… needs Business
- 38. Economic Value, Innovationand Growth
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- 41. Lesson: Open Data… isn’t everything
- 42. Varieties of Data • Big - Small • Public – Private • Open - Closed • Personal - Non-Personal • Anonymous - Identified • Aggregate - Individual © 2012 Deloitte Global Services Limited
- 43. midata Nigel Shadbolt
- 44. Personal Data AssetRevolution…
- 45. Lesson: Open Data… will need defending
- 46. Challenges • Infrastructure • Quality •Interpretation • Security and Privacy • Evidence of impact • Sir Humphrey 2.0
- 47. 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
- 48. 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
- 49. Lesson: Open Data… keepreminding them
- 52. Open Data andthe Power of Open never one driver nor one reason •Open Licences •Open Standards •Open Data •Open Data Principles •Open Participation •Open Minds
Editor's Notes
- #2 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.
- #12 Cholera Bacteria MSRA Bacteria June 9, 2012
- #23 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
- #36 UNCLASSIFIED
- #51 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.