Some Challenges in Open Data

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Presentation given at a seminar at the Institute of European Studies of the Free University of Brussels on 29 May 2013

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  • 29/05/13 02:00 PM 20120112-bcs 1.0
  • 29/05/13 02:00 PM 2012 03 05 Bratislava Plenary 0.2
  • 29/05/13 02:00 PM 20120112-bcs 1.0
  • 29/05/13 02:00 PM 20120112-bcs 1.0
  • Some Challenges in Open Data

    1. 1. The Next Challenges for Open Data Andrew Stott UK Transparency Board formerly Director of data.gov.uk Brussels 29 May 2013 @dirdigeng andrew.stott@dirdigeng.com
    2. 2. Leadership throughout the Organisation 2
    3. 3. 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 3
    4. 4. The Economist’s View: Overall Value Closed or Open 4
    5. 5. The Accountant’s View: Budget Effects Closed or Open 5
    6. 6. Ensuring reusability as well as accessibility 6
    7. 7. Is the data interesting & useful? 7
    8. 8. Is the data on things people care about? 8
    9. 9. Common standard for common things 9
    10. 10. Data Publishing – Star Quality Ease of reuse      Put your data on the Web with an Open Licence (any format) Make it available as structured data (e.g. Excel, CSV, instead of PDF) Use open, standard formats (e.g. XML, RDF) Use URLs to identify things (so people and machines can point at your data) Link your data to other people’s data 10
    11. 11. Making Open mean Open 11
    12. 12. When Open is not Open “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.” 12
    13. 13. Findability 13
    14. 14. Privacy 14
    15. 15. Open Data Ecosystem 15
    16. 16. Is the government listening? 16
    17. 17. End
    18. 18. 18

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