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How to realise a consumer-pull data economy thr...

How to realise a consumer-pull data economy through publishing standard Open Data

Presentation at the Irish Local Government Management Agency (LGMA) Open Source Forum, Dublin, 14 Mar 2012.

Michael Hausenblas

March 15, 2012
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  1. © DERI, NUI Galway, Ireland – 2012 … and how

    to realise a consumer-pull data economy through publishing standard Open Data. Open Data
  2. What is Open Data? Pro-active, public release of data produced

    by government agencies, on the Web, free of charge and with minimal constraints on re-use. Note: it’s not about sensitive or private information but core government data (transport, crime, education, etc.)
  3. What are the benefits? •  Opening up business opportunities • 

    Increased transparency & accountability •  Enables to improve processes in government agencies & between agencies and citizens
  4. Who is doing Open Data? More than 200 data catalogs

    on national, regional or local level:http://datacatalogs.org
  5. European level •  Europe’s Digital Competitiveness Report (2010) •  Digital

    Agenda Annual Progress Report (2011) •  INSPIRE directive for geo-spatial data
  6. … and in Ireland? •  Open Data movement in Ireland

    •  Irish data catalogs: –  Fingal County Council –  DubLinked.ie –  CSO’s StatCentral •  EI’s National Cross-Industry WG •  Standardisation –  W3C Government Linked Data WG –  European Commission ISA •  Upcoming Irish Open Data policy
  7. Open Data benefits revisited … •  Opening up business opportunities

    •  Increased transparency & accountability •  Enables to improve processes in government agencies & between agencies and citizens
  8. Improve processes •  Open Data is really data management • 

    Two approaches: – Reactive – Pro-active •  Level of openness
  9. Does this sound familiar? •  FOI request handling •  Reporting

    to superordinate agency •  Service Indicators submission •  Queries from neighbouring agencies •  Queries from the public or media •  Requests for Open Data à require repetitive, manual effort
  10. Information management evolution …  mismatch between data publisher and

    potential data consumer YCPTF you  can’t  predict  the  future  
  11. A solution … •  Open Data Publishing Pipeline - ODPP

    •  Modular Data Management System for publishing standard Open Data, based on Open Source components. •  Deployment – On-site – Hosted service (in the cloud)