Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Being open, accessible, and understandable by Jonathan Challener, OECD - #imaodbc2014

1,026 views

Published on

With the recent introduction of Open Data APIs, namely SDMX-JSON, and other web services planned, the OECD is moving from a pure ‘browser centric’ architecture towards a more ‘web service oriented’ architecture, with powerful and scalable data delivery capabilities in machine-to-machine exchanges, enabling a much wider use of our data by third parties. This focus has, and will further enable more and more users to assemble content and data themselves, compare or integrate data, or collaborate with each other to produce new content.

This also allowed for and has led to a number of new and accessible data experiences, now targeting those who do not understand, or have the desire to understand, specialised formats of a statistical nature. This is where the real value will be found in being ‘open, accessible, and understandable”.

Published in: Data & Analytics
  • Be the first to comment

Being open, accessible, and understandable by Jonathan Challener, OECD - #imaodbc2014

  1. 1. Being Open, Accessible, and Understandable Prepared and presented by Jonathan Challener, OECD International Marketing And Outputs DataBase Conference Évora, Portugal 21-25 September 2014 #imaodbc2014
  2. 2. Three distinct concepts of data as defined by the ODI data definitions
  3. 3. Three distinct concepts of data as defined by the ODI data definitions Open data can be big, but doesn't have to be. Big data is often based on personal data, but not necessarily.
  4. 4. Big Open Personal (BOP) Data
  5. 5. Big Open Personal (BOP) Data The data types are merging. Social media being the main contributor to this potential future ‘big open, and personal’ paradigm.
  6. 6. For now we are interested in Open Data Information that is available for anyone to use, for any purpose, at no cost.
  7. 7. Data deluge is only getting bigger
  8. 8. We are all putting up the open signs, inviting users into our data supermarkets
  9. 9. All too much for the average user
  10. 10. Not everyone is a data scientist!
  11. 11. Easy to consume
  12. 12. Easy to understand
  13. 13. Accessible Find Free Food In my city
  14. 14. Turn Data Into Free Food! What if a city released a list of all trees planted on its public property. You could filter the data into a list of all the fruit and nut trees in the city, transfer it into an online database, and create a smartphone app that helps anyone find free food.
  15. 15. Learn about the trees of Paris A complete list of 300,000 trees maintained by the City of Paris is available via an android app.
  16. 16. Project Delta: making OECD data… Accessible Open Find Understand Use Free Machine-readable Indexable Re-Useable Available without charge
  17. 17. Open • All data open-ready via .Stat • Open Data premium services Accessible • Data Lab (March 2013) • Data Portal (2014) • Search • User-journeys across OECD online Free • Freemium strategy to maximise dissemination and impact • 100% data & content available for free in a basic form • Premium services on a cost-recovery basis • OECD iLibrary v2 (2015) • Sustainable financing for publishing Project Delta: Objectives and deliverables
  18. 18. 46% 63% 26% 86% 77% 82% 100% Open Data readiness Open data governance Community of end-users Portal accessibility OECD 2013 OECD Target 2015 Open data evolution of the OECD Low evolution expected in regard to the community of end-users!
  19. 19. Audience breakdown visiting oecd.org since 2009 Public sector 21% IGOs 3% NGOs 7% Academia 42% Corporate Media 2% 24% Other 1% Significant increase in the proportion of academics, up 34%.
  20. 20. User needs… Expert user Non-expert Expert user needs: • looks for specific data • know what they are looking for • wants fast and complete download to use in own tools • citation is important • embeds graphs • …used to complicated tools Non-expert user needs: • only interested in main indicators and most relevant graphs • looks for answers, no matter if analytical from pubs, particularly overviews and summaries • shares graphs • …used to consumer tools (less forgiving)
  21. 21. OECD Data Products •.Stat browser • Branded views • Data API • Key tables • Easy to embed charts • Factbook and “At a Glance” publications • Ready-made tables • Mobile apps • Data portal indicators • Simple API usage Expert user Non-expert
  22. 22. Once upon a time…
  23. 23. First we began with this
  24. 24. Audience > expert users
  25. 25. Audience > expert users I’m a policy analyst I’m a researcher/ statistician I’m a university librarian With both time and skills!
  26. 26. Audience > expert users with machines I’m a policy analyst I’m a researcher/ statistician I’m a university librarian
  27. 27. Audience > Org2Org via machine to machine <?xml version="1.0"?> <message:MessageGroup xmlns:message="http://www.SDMX.org/resources/SDMXML/schemas/v2_0/message" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.SDMX.org/resources/SDMXML/schemas/v2_0/generic http://www.sdmx.org/docs/2_0/SDMXGenericData.xsd http://www.SDMX.org/resources/SDMXML/schemas/v2_0/message http://www.sdmx.org/docs/2_0/SDMXMessage.xsd" xmlns:common="http://www.SDMX.org/resources/SDMXML/schemas/v2_0/common" xmlns="http://www.SDMX.org/resources/SDMXML/schemas/v2_0/generic"><Header xmlns="http://www.SDMX.org/resources/SDMXML/schemas/v2_0/message"> <ID>none</ID><Test>false</Test><Truncated>false</Truncated><Prepared>2013-04- 15T11:46:19</Prepared> <Sender id="OECD"><Name xml:lang="en">Organisation for Economic Co-operation and Development</Name> <Name xml:lang="fr">Organisation de coopération et de développement économiques</Name></Sender></Header> <DataSet
  28. 28. With both time and skills!
  29. 29. Simple Lightweight data formats <b>This is bold</b>
  30. 30. {“SDMX”:“JSON”}
  31. 31. API services
  32. 32. Audience > developers
  33. 33. Who don’t have the desire to understand data…
  34. 34. …in specialised formats of a statistical nature
  35. 35. A good start…
  36. 36. to becoming open ready {“SDMX”:“JSON”}
  37. 37. but more is needed
  38. 38. I’m a student I’m a journalist I’m a citizen with a cause I’m an inquisitive user To reach a wider audience
  39. 39. Easy to consume
  40. 40. Easy to understand
  41. 41. Accessible Find Free Food In my city
  42. 42. data.oecd.org
  43. 43. data.oecd.org Data portal vision (from the point of view of the user: “Let me easily access the OECD statistical data and analysis. Let me find, understand and use the data I need.”
  44. 44. A complex back office layer bringing together various pieces of information from several sources.
  45. 45. Enabling a front office compilation for consumption of key indicators with links to relevant summaries and publications, as well as access to complete databases in .Stat.
  46. 46. Quick access to key indicators via search or browse
  47. 47. Filtered search to display different result types and by topic
  48. 48. Topic pages
  49. 49. Country profiling
  50. 50. Full screen view
  51. 51. Quickly share something of interest
  52. 52. and there’s more….
  53. 53. Custom visualisations – Better Life Index
  54. 54. Custom visualisations – Better Life Index How happy is my country? One of our most popular publications.
  55. 55. Environmental indicators
  56. 56. Embeddable tables
  57. 57. Mobile apps
  58. 58. Many interfaces to data
  59. 59. Is this too much?
  60. 60. Integrated experience
  61. 61. I’m a student I’m a journalist I’m a citizen with a cause I’m an inquisitive user I’m a policy analyst I’m a researcher/ statistician I’m a university librarian Users
  62. 62. In control I’m a student I’m a journalist I’m a citizen with a cause I’m an inquisitive user I’m a policy analyst I’m a researcher/ statistician I’m a university librarian
  63. 63. Data Portal next version? Personalised dashboard Allow users to copy visualisations to a clipboard and create their own dashboard.
  64. 64. Find Free Food In my city
  65. 65. Build on the momentum
  66. 66. Larger user engagement
  67. 67. Will the worlds of Official Statistics and statistics produced by the public converge?
  68. 68. Being Open, Accessible, and Understandable Thank You Prepared and presented by Jonathan Challener - Project Manager, OECD jonathan.challener@oecd.org @Challener slideshare.net/JonathanChallener International Marketing And Outputs DataBase Conference Évora, Portugal 21-25 September 2014
  69. 69. Sources used • Image: http://yowpyowp.blogspot.com/2010/09/they-drew-flintstones.html • Image: https://www.adaptiveportfolios.com/media/1_momentum-716.jpg • Image: http://www.snoutypig.com/2013/04/16/snouty-pride-thats-not-all-folks • http://www.oecd.org/site/envind/ • http://www.oecdbetterlifeindex.org/ • http://data.oecd.org • Image: http://www.telegraph.co.uk • http://stats.oecd.org/opendataapi/OData.html • http://stats.oecd.org • Reference: SDMX DataStructure-OECD.FDI(1.2).xml • Reference: OECD data publishing with APIs • Reference: Study by the OECD on users of OECD.org (2013) • Reference: OECD Delta-Benchmark - final report • Reference: http://www.wired.com/2014/08/dat/?utm_source=dlvr.it&utm_medium=tumblr • Image: http://blog.etq.com/Portals/41636/images/MrData.jpg • Reference: http://seradigm.co.nz/category/opendata • Image: http://commons.wikimedia.org/wiki/File:Planking_in_supermarket.jpg • Reference: https://github.com/theodi/data-definitions • #imaodbc2014

×