Friday Lunchtime Lecture- Exploring The Open Data Barometer
Open Data Institute Podcasts - En podcast af The Open Data Institute
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Over the last two years the World Wide Web Foundation’s Open Data Barometer has surveyed the open data landscape in over 75 countries, building up a picture of progress, and pitfalls, on the road to ‘open by default’. The latest edition of the Barometer, launched in January 2015, shows a growing data divide. But it also points to areas where open data is having impact, and highlights factors that appear to contribute to greater political, economic and social outcomes from open data initiatives. Listen to the track to hear about the Barometer findings, dig deeper into the methodology, hear about how you can re-mix the data (all the underlying data is open data of course), and discuss the future of open data metrics and measurement. Speakers Tim Davies is a PhD candidate at the University of Southampton Web Science Doctoral Training Centre, and Affiliate at the Harvard Berkman Centre for Internet and Society. He was previously open data research coordinator at the World Wide Web Foundation, leading the development of the Open Data in Developing Countries project, and working on the research and write-up of the Open Data Barometer. He tweets as @timdavies. Dr Savita Bailur is open data research lead at the World Wide Web Foundation, working on the development of a new programme of open data action research in Africa and Asia, designed to discover context-appropriate ways of closing the data divide. You can reach her on Twitter @SavitaBailur. The Slides to this talk can be found on the link below https://www.scribd.com/doc/256380649/Friday-lunchtime-lecture-Exploring-the-Open-Data-Barometer-the-challenges-ahead-for-an-open-data-revolution Our videos: bit.ly/odi_vimeo Our photos: bit.ly/odi_flickr Our audio: bit.ly/odi_soundcloud Our slides: bit.ly/odi_scribd Our tweets: bit.ly/ODIHQ_tweets Our website: theodi.org ODI Summit videos: bit.ly/odisummit_video What is open data?: bit.ly/what-is-open-data