Sally Jenkinson – An Introduction to Open Data #fronteers15

  • Open data
  • Big data buzzwords
  • 90% of the world’s data was created in the last 2 years
  • Several ways to use data in your work
  • Tea tracker for personal tea consumption
  • Data is often restricted
    • Only certain data is displayed
    • Can’t use data freely
    • restricted
  • You sometimes can’t get your hand on the data that you want
  • Data sharing
    • Restrictive data sharing to restricted set of people
  • Open data means to not be confined to the data provider’s conditions
  • Opendefinition.org
  • Open data and content can be freely used, modified, and shared by anyone for any purpose.
  • Data spectrum: http://theodi.org/data-spectrum
  • Re-publish
  • Derive new content or data
  • make money by selling products
  • charge a fee for access
  • data needs to be open, but the delivery access (API) can be restricted
  • Licensing similar to the known content licence, not just Creative comments, for example Open Government Licence or OS Open Licence ect.
  • Dbpedia – Wikipedia data in RDF
  • Data.gov.uk
  • MusicBrainz
  • plaidplug.com
  • awesome-public-datasets
  • Consuming open data is pretty easy
    • data is not special
    • download periodically or via API
  • Sometimes data is released as PDF, “openly”
  • d3js.org – Data-Driven Documents
  • Example: Mark up fire hydrant violations in NY, top grossing hydrant was actually very confusing for parkers, almost a trap. Reaction from administration: Make clear where not to park.
  • open data -> may generate 3 million dollars
  • Transparency
    • Not only access
    • but also analyze and visualize
    • combine with other data
    • freely to use
    • open by default would save so much time
  • Data and User Experience
    • mapumental.com answers the time to work in minutes instead of miles.
    • How accessible is our nearest school, post office or hospital?
    • How quickly could fire engines reach a given postcode?
    • Improved efficientcy, effectiveness, measure impact
    • Improved products
  • Not just digital, also in the real world, for example as art
    • Internet of things
    • opensensors.io
    • dougmccune.com – Artistic projects based on open data
    • stevanie posavec
  • Linked data
    • timbl doesn’t only want us to share documents but also the data
    • new knowledge from combined data sources and patterns
    • Misinterpretation:
      • Some sites don’t allow it because they don’t want to have their data in the wrong context
      • spurious-corelations
    • Combining data sets & licenses
  • Publishing open data
    • People use it in ways you never dreamt of
    • Step one: Identification & planning
    • Clear licensing & usage information
    • Structure & quality
    • A plan for support – data needs to be maintained
    • Accuracy
    • Step two: transform and clean data
      • data privacy & the individul
      • openrefine
      • cleansheet
    • Step three: Sharing
  • In conclusion:
    • We collect and share data and it is a component to the web, just like documents.
  • Slides: http://www.slideshare.net/sallyjenkinson/an-introduction-to-open-data-53732088