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KODI Kenya Open Data Initiative Izak Minnaar & Ron Nixon Wits Power Reporting October 2012

Open Government, Open Data and Data Journalism. KODI Kenya Open Data Initiative Izak Minnaar & Ron Nixon Wits Power Reporting October 2012. The open data challenge. To governments and industry: The 2009 call from Sir Tim Berners-Lee, the founder of the internet, for “raw data now”

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KODI Kenya Open Data Initiative Izak Minnaar & Ron Nixon Wits Power Reporting October 2012

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  1. Open Government, Open Data and Data Journalism KODI Kenya Open Data InitiativeIzak Minnaar & Ron NixonWits Power ReportingOctober 2012

  2. The open data challenge • To governments and industry: • The 2009 call from Sir Tim Berners-Lee, the founder of the internet, for “raw data now” • And to journalists: • Journalists need to be data-savvy… [it's] going to be about poring over data and equipping yourself with the tools to analyse it and picking out what’s interesting. And keeping it in perspective, helping people out by really seeing where it all fits together, and what’s going on in the country …

  3. The open data movement • Why is Open Data important? • The Open Government Partnership (OGP) • UN programme initiated by Obama and driven by a panel of countries in conjunction with industry and civil society, launched in 2011 • The commitment • The progress • Building blocks for a country’s open data initiative

  4. Open data • Key commitment by many countries to establish online open data portals • Principles of Open Government Data • Many organisations involved, eg: • Open Data Foundation and Open Knowledge Foundation • Linking Open Data • Open data tools

  5. Open data in Kenya • The Kenya Open Data Initiative (KODI) – the website • The Kenya open data story (Al Kags) – and in video • ICT Board Kenya: Open data development camp • The impact of KODI – ABN report • Impact on journalism in Kenya • Data journalism bootcamp

  6. Open data in Africa • ADBank – data for Africa • Africa Open Data • Ujima project

  7. Data journalism

  8. Data journalism concepts • Precision journalism: data based stories (Phil Meyer) • Computer Aided Journalism/Reporting (CAJ/CAR) • Journalism 2.0 • Networked journalism: online sourcing & sharing • Data-driven stories based on structured information

  9. Data stories • Typical examples: • Census • Election results • Service delivery • Budget reporting • Crime stats • But what about other stories without stats and lists of numbers?

  10. Story elements and data • The age-old news formula: 5W+H • What • History, dimensions, ... • Who • Individuals, crowds, ... • When • Dates, times, intervals, ... • Where • Locations; country, town, property, ... • Why • How • Journalism = data gathering and data distribution, in story format

  11. Data visualisation

  12. Data visualisation • The Joy of Data • Interactive – UK riots • Gapminder • Google Public Data and Fusion Tables • World Bank data, maps • UN data

  13. References • Online resources: • Data visualisation as a storytelling medium • Data driven journalism • Guardian datablog • Data Journalism Handbook • Webguide/datajournalism

  14. Thank you Webguide - izak.minnaar@gmail.comnixon@nytimes.com

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