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PMOD Challenges for Open Data Usage: Open derivatives and challenges

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PMOD Challenges for Open Data Usage: Open derivatives and challenges

  1. 1. Miel Vander Sande [@Miel_vds]Marc Portier, Erik Mannens, Rik Van de Walle
  2. 2. The success story!
  3. 3. New businesses can be built on the back of this data More TransparencyEvidence-based policy making and administrative efficiency
  4. 4. The public It’s collectedpayed for it! anyway! Why not use it? Because we can and/or should!
  5. 5. Many Open Government Data initiatives
  6. 6. http://www.nationalarchives.gov.uk/doc/open-government-licence/
  7. 7. http://ddata.over-blog.com/xxxyyy/4/37/99/26/licence/Licence-Ouverte-Open-Licence-ENG.pdf
  8. 8. http://creativecommons.org/licenses/by/3.0/at/deed.en
  9. 9. Does it?Evidence-based policy making and administrative efficiency More Transparency New businesses
  10. 10. Should Open really mean Open?
  11. 11. It is the Right & Duty of Governments to reach the Goalseven if it means using smart restrictions or extensions
  12. 12. Consequences & Challenges for Open Data Usage 1. Two evolutions Data co-ownership Feedback loop of applications2. Supporting legal framework
  13. 13. OGD 2 Consumer: Today Read (API, Download) Write Notify (update, upload) (Email, forms, upload) Inefficient data management & incorrect dataHeterogenous Dual-channeled system
  14. 14. OGD 2 Consumer: Future Read (standard API) DMS Notify, Write (standard API) Interact (Interface) From Master-Slave to a more granular structureHomogenous Mono-channeled system
  15. 15. Data co-ownershipRestaurants Trains Busses Libraries Government Location Timetable Timetable Location Opening Stations Stops Opening hours hours Delays Delays Menu CatalogusSchools Metro Monuments Public Location Timetable Location Services Curriculum Stations Opening Opening hours hours Delays Prices LocationLocal Civil Museums Trafficbusinesses Servants Location Jams Location Name Opening Accidents Type Function hours Parking Prices
  16. 16. Data co-ownershipRestaurants Trains Busses Libraries Government Location Timetable Timetable Location Opening Stations Stops Opening hours hours Delays Delays Menu Catalogus Cultural OrganisationSchools Metro Monuments Public Location Timetable Location Services Curriculum Stations Opening Opening hours hours Delays Prices LocationLocal Civil Museums Trafficbusinesses Servants Location Jams Location Name Opening Accidents Type Function hours Parking Prices
  17. 17. Data co-ownershipRestaurants Trains Busses Libraries Government Location Timetable Timetable Location Opening Stations Stops Opening hours hours Delays Delays Menu Catalogus Cultural OrganisationSchools Metro Monuments Public Location Timetable Location Services Curriculum Stations Opening Opening Mobility Delays hours hours Organisation Prices LocationLocal Civil Museums Trafficbusinesses Servants Location Jams Location Name Opening Accidents Type Function hours Parking Prices
  18. 18. Consequences for Consumers? Looking out becomes taking care Most care means ownershipConsequences for Clients?Well-described communication protocol RESTFull feedback supportIdentification
  19. 19. Consequences for Owners?Invest in infrastructure Consequences for Servers? Well-described communication protocol Flexible technologies Version management Conflict management Trust & Provenance management Linked Data Platform (LDP) WG
  20. 20. Feedback of Open Data Prevent monopolisation Usage statistics Application Mashups & Aggregations Source referencing Contribution to the original
  21. 21. Supporting Legal FrameworkDefining domains of society concerningOpennessStimulating governmental investment inRecalculation Platform (transparency)Well-thought (Viral) licensesfor enforcing restrictionsfor enforcing engagement
  22. 22. Supporting Legal FrameworkEngagement public debate: Who is obligated to participate in Open Data?Obviously Governments...Other parties using Open Government Data?Everything supplying public service? (Private or Public)Every monopoly with wide public coverage?
  23. 23. Discuss!Miel Vander Sandemiel.vandersande@ugent.bet: @Miel_vds
  24. 24. Attributions• Photo ‘Opening slide’ by http://www.flickr.com/photos/paloetic/• Tracey Saxby, Integration and Application Network, University of Maryland Center for Environmental Science (ian.umces.edu/imagelibrary/).• Photo ‘Neelie Kroes’ by Sebastiaan ter Burg• Photo ‘Open Licensed’ by http://www.flickr.com/photos/mag3737/• Photo ‘copyleft’ by http://www.flickr.com/photos/arifrost/• Logo ‘openID’ by http://openid.net/• Photo ‘Servers’ by http://www.flickr.com/photos/jamisonjudd/• Photo ‘Laptop’ by http://www.flickr.com/photos/ichibod/• Photo ‘question’ by http://www.flickr.com/photos/horiavarlan/

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