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Open Data in a Day - Introduction to Open Data

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Open Data Institute Course - Open Data in a Day conducted by Registered ODI Trainer Ian Henshaw on October 14, 2015 in RTP, NC USA - Deck #1 Introduction to Open Data

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Open Data in a Day - Introduction to Open Data

  1. 1. Introducing Open Data Ian Henshaw Registered ODI Trainer @ihenshaw
  2. 2. Overview ● Defining open data ● Benefits ● Open, closed and personal data ● Why now?
  3. 3. Aims ● What is open data, its benefits and opportunities ● Case studies of successful open data projects ● How to discover and use open data?
  4. 4. Learning Objectives ● Describe open data, Explain the difference between big, personal and open data ● Describe the benefits, of working with open data ● Describe successful case studies of using and publishing open data ● Explain how open data sits in the current economic climate
  5. 5. What is Data? Exercise
  6. 6. Definition of Data (1) A collection of facts, information and statistics that can be analyzed to develop new knowledge
  7. 7. Definition of Data (2) A collection of numbers assigned as values to quantitative variables and/or characters assigned as values to qualitative variables
  8. 8. Definition of Data (3) The lowest level of abstraction from which information and then knowledge are derived.
  9. 9. The DIKW Pyramid Data Information Knowledge Wisdom Link Elements Organize Information Apply Knowledge
  10. 10. What is Open Data? Exercise
  11. 11. Definition of Open (OKF) A piece of data or content is open if anyone is free to use, reuse, and redistribute it - subject only, at most, to the requirement to attribute and/or share-alike.
  12. 12. Definition of Open (ODI) Open data is data that is made available by organizations, businesses and individuals for anyone to access, use and share. ● Open data has to have a license that says it is open data. Without a license, the data can’t be reused. The license might also say: – that people who use the data must credit whoever is publishing it (this is called attribution) – that people who mix the data with other data have to also release the results as open data (this is called share-alike)
  13. 13. Definition of Open Data Open Data is accessible public data that people, companies and organizations can use to launch new ventures, analyze patterns and trends, make data-driven decisions, and solve complex problems. ISBN-10: 0071829776 ISBN-13: 978-0071829779
  14. 14. Access Redistribution Reuse Integrity Attribution Non-discriminatory Remix and Combine
  15. 15. “Data is the new Oil” - Clive Humby kenhodge13 (40132991@N07) on
  16. 16. “Data is just like crude.” - Michael Palmer ● It’s valuable, but if unrefined it cannot really be used. ● It has to be changed into gas, plastic, chemicals, etc to create a valuable entity that drives profitable activity Data must be broken down and analyzed for it to have value.
  17. 17. Data is the raw material of the new industrial revolution - Francis Maude MP
  18. 18. Justifications Trust and Transparency Enabling the Economy
  19. 19. Benefits of Open Data ● Data Driven Decision Making ● Performance Measurement ● Reduction of Government Costs ● Support an Open Government Initiative – e.g. Transparency ● Economic Development ● Increased Citizen Engagement ● Talent Attraction / Retention
  20. 20. Data Driven Decision Making http://london-
  21. 21. Performance Measurement goals/energy-efficiency
  22. 22. Reduction of Government Costs
  23. 23. Reduction of Government Costs news/2014-04-09/top- medicare-doctor-paid-21- million-in-2012-data- shows.html
  24. 24. Support for Open Government
  25. 25. Support for Open Government
  26. 26. Support for Open Government
  27. 27. Economic Development Report: January 2014
  28. 28. Economic Development The Economic Benefits of Commercial GPS Use in the United States and the Costs of Potential Disruption “GPS technology will create $122.4 billion benefits per year and will directly affect more than 5.8 million jobs in the downstream commercial GPS-intensive industries when penetration of GPS technology reaches 100 percent in the commercial GPS-intensive industries.”
  29. 29. Increased Citizen Engagement
  30. 30. Talent Attraction / Retention Presentation to the world class city partnership annual conference in Barcelona focusing on Dublin and talent attraction by Jamie Cudden presentation-23-06-12-wccp news/hacking-talent-pool/
  31. 31. NC Cities: Open Data Portals
  32. 32. Examples of Open Data ● Government Data ● Commercial Data
  33. 33. Examples of Open Data ● Crowd Sourced Data
  34. 34. GODAN Report Global Open Data for Agriculture and Nutrition initiative: Open Data can help solve these problems: ● Enabling more efficient and effective decision making ● Fostering innovation that everyone can benefit from ● Driving organizational and sector change through transparency
  35. 35. GODAN Use Cases Enabling more efficient and effective decision making ● Protecting crops from pest outbreaks with vegetation maps: GroenMonitor ● Helping farmers forecast with weather apps and SMS: Awhere ● Boosting crop yields with a best practice knowledge bank: Plantwise ● Saving $3.6m in drought damage with a climate-smart tool: CIAT Colombia ● Managing the California drought with data visualizations: California Department of Water Resources
  36. 36. GODAN Use Cases Fostering innovation to benefit everyone ● Saving crops and cash with weather simulation and smart insurance: Climate Corporation ● Improving crop varieties with open data on breeding trials: AgTrials ● Bringing agricultural research to the masses: FAO AGRIS portal AGRIS ● Making agri-food data more discoverable: the CIARD RING
  37. 37. GODAN Use Cases Driving organizational and sector change through transparency ● Tracking water, pesticide, water and fuel use with an open, collaborative platform: Syngenta ● Exposing misspent farm subsidies in Mexico: FUNDAR ● Empowering consumers to make smart food choices: US national nutrient database ● Helping consumers understand risks of the food they eat: EU Food alerts ● Highlighting restaurant inspection scores and improving food safety: LIVES
  38. 38. Syngenta Good Growth Plan %20Good%20Growth%20Plan_%2016pp%20brochure%20ENG.pdf
  39. 39. Activity ● Harris Teeter ● Lenovo ● Avon ● JC Penney ● Proctor & Gamble ● Exxon / Mobil ● What opportunities can you identify with open data? – What data can you give? – What data do you need?
  40. 40. Challenges and Risks
  41. 41. Types of personal data Open personal data Data about people not a person Available to anyone Has been anonymised e.g. number of people attending event, gender split, age ranges. (bigger numbers are better!) Available personal data Data about a person Available to the person only! Often known as MiData e.g. credit scores, energy and other consumption data. Personal data Data about a person which is neither open nor available. Might belong to you or be collected by a company.
  42. 42. Opportunities ● Open Data – Brings transparency, open peer review ● Big Data – Brings the evidence ● Personal Data – Makes it relevant
  43. 43. Opportunity
  44. 44. Discovering Data ● The idea of this exercise is to help you gain a better understanding and be able to critically appraise the different types of open data publication practice on the web. ● ng_Open_Data_Exercise.pdf
  45. 45. Why Now?
  46. 46. A Global Movement
  47. 47. Knowledge for everyone