Download as PDF, PPTX
Uploaded bySally Lait
An introduction to open data
This document provides an introduction to open data, defining it as information that can be freely accessed, used, modified, and shared. It discusses the benefits of open data in terms of economic value, transparency, and innovation, while also addressing challenges such as legal and technical limitations. Additionally, it outlines best practices for publishing and consuming open data to maximize its impact.
More Related Content
Similar to An introduction to open data
An introduction to open data
- 1. AN INTRODUCTION TOOPEN DATA Sally Jenkinson, Web in the Woods, 12.09.2015 @sjenkinson | sally@recordssoundthesame.com
- 2. Digital consultant &solutions architect Records Sound the Same Ltd Sally Jenkinson sally@recordssoundthesame.com | @sjenkinson
- 3.
- 4. data(ˈdeɪtə ; ˈdɑːtə) Pluralnoun • 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.
- 6. WHAT IS OPENDATA?
- 7. ! The Open Definition ! TheOpen 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. You must beable to easily acquire and use the data for any purpose @sjenkinson
- 9. You must beable to re-use and re-distribute the data, including being able to mix it with other data sets @sjenkinson
- 10. There should beno discrimination involved - for example data shouldn’t be limited to ‘non-commercial’, or only for education @sjenkinson
- 11. Data should bein a format that can be processed and manipulated by a computer @sjenkinson
- 12.
- 14.
- 17.
- 20. A TALE OFOPEN DATA
- 22. WHAT DOES ITMEAN FOR OUR PROJECTS?
- 23.
- 30. THE BENEFITS OFOPEN DATA
- 31. This benefits me!This benefits everyone! ?
- 32. Generating value &making savings @sjenkinson
- 33. +$3 trillion /year mckinsey.com/insights/business_technology/open_data_unlocking_innovation_and_performance_with_liquid_information open data
- 34. G20 GDP up1.1% over five years goo.gl/Jfxvnn open data
- 35. £15 - 58million in time per year goo.gl/sz7wus open data
- 36. £200 million /year in NHS savings goo.gl/aHUo9E open data
- 37.
- 38.
- 39. Improved or newprivate products or services & innovation @sjenkinson
- 40. Improved efficiency Improved effectiveness Impactmeasurement @sjenkinson
- 41. New knowledge fromcombined data sources and patterns in large data volumes @sjenkinson
- 42.
- 45.
- 46. “a formal specificationof a shared conceptualisation” @sjenkinson
- 47. “Start to explainthe data in understandable terms, and to illustrate some of the relationships in ways normal people can understand” @sjenkinson
- 48.
- 49.
- 50. DATA & USEREXPERIENCES
- 51. ! “How far doyou 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
- 52. “How accessible isyour 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
- 53. “Just how quicklycould 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
- 54.
- 55.
- 56.
- 57.
- 58.
- 59. Data privacy & theindividual
- 60.
- 61.
- 62. Combining data sets& licences clipol.org/tools/compatibility
- 63.
- 66. GREAT! I’M SOLD!NOW WHAT?
- 67. 1. Clear licensing& usage information 2. A plan for support 3. Structure & quality @sjenkinson
- 68.
- 69. ★ Make your stuffavailable 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.
- 70.
- 71. INTRODUCING OPEN DATATO YOUR PROJECTS
- 72.
- 73.
- 74.
- 75.
- 76. 1. Identification &planning
- 77. 2. Extracting &cleaning openrefine.org | clean-sheet.org
- 78.
- 79.
- 80.
- 81.
- 86.
- 87. “Air Transformed isa 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
- 91. AND IN THEEND…
- 92. @sjenkinson ! sally@recordssoundthesame.com recordssoundthesame.com THANK YOU. Thank youto 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/