The intersection between big and open data and the related hopes and concerns in smart cities are a field that I am very interested in. As an exchange student at Carleton University in fall 2017, I created an infographic on the matter for the „Big Data and Society“ course held by Professor Tracey Lauriault.
Open Data definition: International Open Data Charter. “Principles.” International Open Data Charter, September 25, 2015. Accessed 17 October 2017. https://opendatacharter.net/principles/.
Data for openness world map: Open Knowledge International. “Download.” Global Open Data Index, 2017. Accessed 9 October 2017. https://index.okfn.org/download/.
Falling Fruit map screenshot: Falling Fruit. “Falling Fruit.” Falling Fruit. Accessed October 17, 2017. Accessed 17 October 2017. http://fallingfruit.org/?locale=en.
Big Data criteria: Kitchin, Rob, and Gavin McArdle. “What Makes Big Data, Big Data? Exploring the Ontological Characteristics of 26 Datasets.” Big Data & Society 3, no. 1 (January 5, 2016): 205395171663113. doi:10.1177/2053951716631130.
Smart City hopes and concerns: Kitchin, Rob. “The Real-Time City? Big Data and Smart Urbanism.” GeoJournal 79, no. 1 (February 1, 2014): 1–14. doi:10.1007/s10708-013-9516-8.
Open City conclusion: Sennett, Richard. “The Open City.” The Open City, 2006. Accessed 29 October 2017. http://www.richardsennett.com/site/senn/UploadedResources/The%20Open%20City.pdf.
Big Data criteria visualization based on figure from: Dave, Pinal. “Big Data – What Is Big Data – 3 Vs of Big Data – Volume, Velocity and Variety – Day 2 of 21.” SQL Authority with Pinal Dave, October 2, 2013. Accessed 17 October 2017. https://blog.sqlauthority.com/2013/10/02/big-data-what-is-big-data-3-vs-of-big-data-volume-velocity-and-variety-day-2-of-21/.
Big and Open Data visualization based on figure from: Gurin, Joel. “Big Data and Open Data: How Open Will the Future Be Symposium: Big Data Future Part One.” I/S: A Journal of Law and Policy for the Information Society 10 (2015 2014): 691–704.
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