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Open Source at GLA - a road less travelled

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Open Source at GLA - a road less travelled

  1. 1. Open Source - The Road Less Travelled Using Open Source and Open Data at the GLA David Munn Greater London Authority
  2. 2. “Exciting” Times
  3. 3. Lots of priorities and choices
  4. 4. Proprietary Software  Obstinately expensive  Mind-numbingly complex licencing  Strong sanctions for non-compliance
  5. 5. Technical constraints  Complexity results in compromises  Compromises stifle innovation  Virtualisation limited  Vague licence terms backed up with risk of legal action
  6. 6. Building Support for OS  Identify influencers that might have an interest  CEO / CFO  Focus on the business benefits (savings / flexibility)  IT Strategy  Sell the Strategy  OS / Cloud First
  7. 7. Deal with Legitimate Concerns  Hard work  Limited business benefits  Savings in maintenance / administration  Costs / inconvenience of proprietary solutions  Strong security  Open standards supporting interoperability
  8. 8. The Road Less Travelled  Hard journey  Replacing database infrastructure  Substantial savings
  9. 9. Building the foundations  Apache / Linux / Tomcat - Apps  Nagios – Monitoring Network  Drupal – Web-site / Datastore  Solr - Search  Postgres / Maria DB – Database Infrastructure
  10. 10. Building the London Datastore  Launched in 2010  Provides datasets - free  Encouraging others to use the data to develop applications  http://data.london.gov.uk  Real-time transport data is being used  Open Source Development (Drupal)
  11. 11. Collaboration and Participation Open data – the London Data store  Reaching out to the developer community  Participatory approach  Applications are now being developed using this data
  12. 12. Collaboration and Participation
  13. 13. Collaboration and Participation
  14. 14. Collaboration and Participation Interaction with Citizens at the heart of new web-site  Open Source Environment  Integrated with Social Media  Seeking views on policy work
  15. 15. Collaboration and Participation
  16. 16. Collaboration and Participation
  17. 17. Datastore Next Steps
  18. 18. Just Do It!

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