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An introduction to open data

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Talk given at Fronteers 2015 in Amsterdam.

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'll 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.

Publié dans : Données & analyses, Internet
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An introduction to open data

  1. AN INTRODUCTION TO OPEN DATA Sally Jenkinson - Fronteers - Amsterdam - 09.10.2015 @sjenkinson | sally@recordssoundthesame.com
  2. sally@recordssoundthesame.com | @sjenkinson Digital solutions architect & consultant Records Sound the Same Ltd Sally Jenkinson
  3. DATA
  5. “Big data” @sjenkinson
  6. 90% of the world’s total data has been created within the last 2 years ! (IBM, 2014) @sjenkinson
  7. I ♡ DATA
  8. @sjenkinson
  9. @sjenkinson
  10. sallyjenkinson.co.uk/labs/teatracker
  11. BUT…
  12. “You agree to maintain your apps and your systems in accordance with industry standard quality levels…”
  15. Open data and content can be freely used, modified, and shared by anyone for any purpose. opendefinition.org
  16. Re-publish Derive new content or data Make money by selling products Charge a fee for access
  17. Make money by selling products Charge a fee for access
  18. “We observed that often people think of open data as a specific ‘kind’ of data – something separate and distinct from the data they use day-to-day in their organisation or team – rather than a choice about how people publish data.” theodi.org/blog/closed-shared-open-data-whats-in-a-name
  19. theodi.org/guides/publishers-guide-open-data-licensing | theodi.org/guides/reusers-guide-open-data-licensing Public domain (CC0) Attribution (CC-by) Attribution & share-alike (CC-by-sa) OPEN LICENCES FOR CREATIVE CONTENT
  20. theodi.org/guides/publishers-guide-open-data-licensing | theodi.org/guides/reusers-guide-open-data-licensing Public domain (PDDL) Attribution (ODC-by) Attribution & share-alike (ODbL) OPEN LICENCES FOR DATABASES
  21. theodi.org/guides/publishers-guide-open-data-licensing | theodi.org/guides/reusers-guide-open-data-licensing Open Government Licence OS Open Licence etc OTHER OPEN LICENCES
  23. wiki.dbpedia.org
  24. musicbrainz.org
  25. earthquake.usgs.gov/earthquakes/search/
  26. plaidplug.com
  27. data.id/dataset/daftar-titik-reklame-di-dki-jakarta/resource/361ce01f-34ed-4e00-a204-6062c7b9ad64
  28. web.archive.org/web/20150520175645/
  29. vision.stanford.edu/aditya86/ImageNetDogs/
  30. {"gilded": 0,"author_flair_text":"Male","author_flair_css_class":"ma le","retrieved_on":1425124228,"ups": 3,"subreddit_id":"t5_2s30g","edited":false,"controversial ity": 0,"parent_id":"t1_cnapn0k","subreddit":"AskMen","body":"I can't agree with passing the blame, but I'm glad to hear it's at least helping you with the anxiety. I went the other direction and started taking responsibility for everything. I had to realize that people make mistakes including myself and it's gonna be alright. I don't have to be shackled to my mistakes and I don't have to be afraid of making them. ","created_utc":"1420070668","downs":0,"score": 3,"author":"TheDukeofEtown","archived":false,"distinguish ed":null,"id":"cnasd6x","score_hidden":false,"name":"t1_c nasd6x","link_id":"t3_2qyhmp"} x ~1.7 billion reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/
  31. ♥ github.com/caesar0301/awesome-public-datasets
  33. @sjenkinson
  34. d3js.org
  36. iquantny.tumblr.com/post/92116352544/mapping-nyc-hydrant-revenue-upper-easts-19th
  37. Generating value & making savings @sjenkinson
  38. +$3 trillion / year mckinsey.com/insights/business_technology/open_data_unlocking_innovation_and_performance_with_liquid_information open data
  39. Transparency @sjenkinson
  40. “…within two years chemical emissions nationwide (at least as reported, and presumably also in fact) had decreased by 40 percent. ! Some companies were launching policies to bring their emissions down by 90 percent, just because of the release of previously sequestered information.” maban.co.uk/80
  42. “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.com/services/travel-time
  43. “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
  44. “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
  45. Improved efficiency Improved effectiveness Impact measurement @sjenkinson
  46. Improved or new private products or services & innovation @sjenkinson
  48. opensensors.io
  49. DOUG MCCUNE dougmccune.com
  50. STEFANIE POSAVEC stefanieposavec.co.uk
  51. “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
  52. Participation & self-empowerment @sjenkinson
  54. New knowledge from combined data sources and patterns in large data volumes @sjenkinson
  55. Misrepresentation
  56. tylervigen.com/spurious-correlations
  57. tylervigen.com/spurious-correlations
  58. Combining data sets & licences clipol.org/tools/compatibility
  60. “There are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns – the ones we don't know we don't know.” en.wikipedia.org/wiki/There_are_known_knowns
  61. STEP ONE Identification & planning @sjenkinson
  62. Clear licensing & usage information Structure & quality A plan for support @sjenkinson
  63. Accuracy
  64. STEP TWO Extracting & cleaning @sjenkinson
  65. Data privacy & the individual
  66. openrefine.org
  67. STEP THREE Sharing @sjenkinson
  68. FIVE STAR DATA 5stardata.info
  69. ★ Make your data available on the web (in 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 data. ★★★★★ Link your data to other data to provide context.
  70. OPEN DATA CERTIFICATES certificates.theodi.org
  72. 1. Choose open data 2. Publish your data 3. Link it 4. Use standards 5. Promote freedom 6. Do some good 7. Be creative
  73. @sjenkinson ! sally@recordssoundthesame.com ! recordssoundthesame.com THANK YOU. Thank you to these lovely people for making their content open: Linking Open Data cloud diagram 2014, by Max Schmachtenberg, Christian Bizer, Anja Jentzsch and Richard Cyganiak - lod-cloud.net The Data Spectrum - theodi.org/data-spectrum Doug McCune - dougmccune.com Stefanie Posavec - stefanieposavec.co.uk Data abstract painting - flickr.com/photos/rachubarama/2709346242 IE Market Share vs Murder Rate - imgur.com/47D7zGq Troy Marusek - flickr.com/photos/troymars/9113025616 The Roof of Wales - flickr.com/photos/stray_croc/4743302841 Fire Wall - flickr.com/photos/epleitez/1714341218 Money - flickr.com/photos/mikephotoart/12839909303 cc - flickr.com/photos/kalexanderson/7175627336 RDF - flickr.com/photos/gertcha/8292978031 Small Parts - flickr.com/photos/oskay/2156889157/ Hydrant - flickr.com/photos/pamhule/4677109732/ Upsala Glacier Retreat - flickr.com/photos/nasamarshall/10726540434/