An introduction to open data

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In a world where many of our digital spaces are becoming more closed than ever, open data is a concept that is rapidly on the rise.

In this talk we explore what open data is (and what it isn't), and why we should care about it. We'll look at how you can introduce it into your projects with regards to practical publication and consumption, and discuss some useful tools and reference points.

Open data isn't just dry and technical - it gives us great scope to be creative, and throughout this talk we'll go through some of the amazing things that it has been used for globally in the hope that it will inspire you to create something amazing yourself.

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An introduction to open data

  1. 1. AN INTRODUCTION TO OPEN DATA Sally Jenkinson, Web in the Woods, 12.09.2015 @sjenkinson | sally@recordssoundthesame.com
  2. 2. Digital consultant & solutions architect Records Sound the Same Ltd Sally Jenkinson sally@recordssoundthesame.com | @sjenkinson
  3. 3. @sjenkinson WHAT IS DATA?
  4. 4. data(ˈdeɪtə ; ˈdɑːtə) Plural noun • a series of observations, measurements, or facts; information • Also called: information (computing) the information operated on by a computer program Although now often used as a singular noun, data is properly a plural. From Latin, literally: (things) given, from dare to give http://www.collinsdictionary.com/dictionary/english/data
  5. 5. data data content content
  6. 6. WHAT IS OPEN DATA?
  7. 7. ! The Open Definition ! The Open Definition sets out principles that define “openness” in relation to data and content. ! It makes precise the meaning of “open” in the terms “open data” and “open content” and thereby ensures quality and encourages compatibility between different pools of open material. ! It can be summed up in the statement that:
 ! “Open means anyone can freely access, use, modify, and share for any purpose (subject, at most, to requirements that preserve provenance and openness).” ! Put most succinctly: ! “Open data and content can be freely used, modified, and shared by anyone for any purpose” opendefinition.org
  8. 8. You must be able to easily acquire and use the data for any purpose @sjenkinson
  9. 9. You must be able to re-use and re-distribute the data, including being able to mix it with other data sets @sjenkinson
  10. 10. There should be no discrimination involved - for example data shouldn’t be limited to ‘non-commercial’, or only for education @sjenkinson
  11. 11. Data should be in a format that can be processed and manipulated by a computer @sjenkinson
  12. 12. DATA SHARING
  13. 13. MY DATA
  14. 14. sallyjenkinson.co.uk/labs/teatracker
  15. 15. A TALE OF OPEN DATA
  16. 16. WHAT DOES IT MEAN FOR OUR PROJECTS?
  17. 17. Consumption & publication @sjenkinson
  18. 18. THE BENEFITS OF OPEN DATA
  19. 19. This benefits me! This benefits everyone! ?
  20. 20. Generating value & making savings @sjenkinson
  21. 21. +$3 trillion / year mckinsey.com/insights/business_technology/open_data_unlocking_innovation_and_performance_with_liquid_information open data
  22. 22. G20 GDP up 1.1% over five years goo.gl/Jfxvnn open data
  23. 23. £15 - 58 million in time per year goo.gl/sz7wus open data
  24. 24. £200 million / year in NHS savings goo.gl/aHUo9E open data
  25. 25. Transparency @sjenkinson
  26. 26. Participation & self-empowerment @sjenkinson
  27. 27. Improved or new private products or services & innovation @sjenkinson
  28. 28. Improved efficiency Improved effectiveness Impact measurement @sjenkinson
  29. 29. New knowledge from combined data sources and patterns in large data volumes @sjenkinson
  30. 30. LINKED DATA linkeddata.org
  31. 31. WE ARE HUMANS
  32. 32. “a formal specification of a shared conceptualisation” @sjenkinson
  33. 33. “Start to explain the data in understandable terms, and to illustrate some of the relationships in ways normal people can understand” @sjenkinson
  34. 34. bbc.co.uk/ontologies
  35. 35. bbc.co.uk/things
  36. 36. DATA & USER EXPERIENCES
  37. 37. ! “How far do you live from your workplace? Chances are, you'd answer that question in minutes rather than miles. An hour on the bus tells us a lot more than 47 miles. That's why we made Mapumental. ! Given any start point or destination, it'll show everywhere within the chosen commute time, by public transport. ! Mapumental Property narrows property results down, only showing you houses that fall within a decent commute time from the places you visit regularly - like work, school, or the shops.” mapumental.com/services/travel-time
  38. 38. “How accessible is your nearest school, post office, or GP’s surgery? In Wales, that’s not always a simple question: the country’s mountainous landscapes, rural populations, and sometimes infrequent bus services can mean that those without cars are rather cut off from public service provision.” mapumental.com/services/accessibility
  39. 39. “Just how quickly could fire engines reach a given postcode in case of a fire? It’s a question that’s pivotal to decisions made by both the emergency services and the insurance industry.” mysociety.org/2013/04/22/fire-fire-mapumental-and-fire-engine-journey-times
  40. 40. mysociety.org/2013/04/22/fire-fire-mapumental-and-fire-engine-journey-times
  41. 41. CHALLENGES & LIMITATIONS
  42. 42. LEGAL PRACTICAL TECHNICAL SOCIAL
  43. 43. Accuracy
  44. 44. Cost
  45. 45. Data privacy & the individual
  46. 46. Discoverability
  47. 47. ♥ github.com/caesar0301/awesome-public-datasets
  48. 48. Combining data sets & licences clipol.org/tools/compatibility
  49. 49. Misinterpretation & misrepresentation
  50. 50. GREAT! I’M SOLD! NOW WHAT?
  51. 51. 1. Clear licensing & usage information 2. A plan for support 3. Structure & quality @sjenkinson
  52. 52. FIVE STAR DATA 5stardata.info
  53. 53. ★ Make your stuff available on the Web (whatever format) under an open license. ★★ Make it available as structured data (e.g., Excel instead of image scan of a table). ★★★ Use non-proprietary formats (e.g., CSV instead of Excel). ★★★★ Use URIs to denote things, so that people can point at your stuff. ★★★★★ Link your data to other data to provide context.
  54. 54. OPEN DATA CERTIFICATES certificates.theodi.org
  55. 55. INTRODUCING OPEN DATA TO YOUR PROJECTS
  56. 56. Consuming open data @sjenkinson
  57. 57. @sjenkinson
  58. 58. d3js.org
  59. 59. Publishing open data @sjenkinson
  60. 60. 1. Identification & planning
  61. 61. 2. Extracting & cleaning openrefine.org | clean-sheet.org
  62. 62. 3. Sharing
  63. 63. NOT JUST DIGITAL!
  64. 64. opensensors.io
  65. 65. DOUG MCCUNE dougmccune.com
  66. 66. STEFANIE POSAVEC stefanieposavec.co.uk
  67. 67. “Air Transformed is a series of wearable data objects that communicate this physical burden in different ways. Though seemingly decorative, they are based entirely on open air quality data from Sheffield, UK, a former steelmaking city and notorious for its bad air.” stefanieposavec.co.uk/data/#/airtransformed
  68. 68. AND IN THE END…
  69. 69. @sjenkinson ! sally@recordssoundthesame.com recordssoundthesame.com THANK YOU. Thank you to these lovely people for making their content open under a Creative Commons or public licence: Linking Open Data cloud diagram 2014, by Max Schmachtenberg, Christian Bizer, Anja Jentzsch and Richard Cyganiak - lod-cloud.net DougMcCune - dougmccune.com stefanieposavec.co.uk flickr.com/photos/rachubarama/2709346242 tylervigen.com/spurious-correlations xkcd.com/1138 flickr.com/photos/troymars/9113025616 flickr.com/photos/mompl/5289524029 flickr.com/photos/stray_croc/4743302841 flickr.com/photos/epleitez/1714341218 flickr.com/photos/mikephotoart/12839909303 flickr.com/photos/kalexanderson/7175627336 flickr.com/photos/gertcha/8292978031 https://www.flickr.com/photos/86979666@N00/8692704103/

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