Teaching Data Literacy for Civic Engagement: Resources for Data Capture and Organization
Keywords:open data, civic data, civic engagement, curriculum, data literacy, pedagogy, instruction
Endangered Data Week emerged in the early months of 2017 as an effort to encourage conversations about government-produced, open data and the many factors that can limit its access. The event offers an internationally-coordinated series of events that includes publicizing the availability of datasets, increasing critical engagement with them, encouraging open data policies at all levels of government, and the fostering of data skills through workshops on curation, documentation and discovery, improved access, and preservation. The reflection provides an outline of the curriculum development happening through Endangered Data Week and encourages others to contribute.
Eubanks, Virginia. 2017. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. First Edition. New York, NY: St. Martin’s Press.
Forsythe, Diana, and David J. Hess. 2001. Studying Those Who Study Us: An Anthropologist in the World of Artificial Intelligence. Stanford, Calif: Stanford University Press.
Gillespie, Tarleton. 2010. “The Politics of ‘Platforms.’” New Media & Society 12(3): 347–64. DOI: https://doi.org/10.1177/1461444809342738
Gitelman, Lisa. 2006. Always Already New: Media, History and the Data of Culture. Cambridge, Mass: MIT Press.
Hicks, Marie. 2017. Programmed Inequality: How Britain Discarded Women Technologists and Lost Its Edge in Computing. Cambridge, MA: MIT Press.
Johnson, Eric, and Alicia Kubas. 2018. “Spotlight on Digital Government Information Preservation: Examining the Context, Outcomes, Limitations, and Successes of the DataRefuge Movement.” In The Library With The Lead Pipe. (Feb. 7, 2018). http://www.inthelibrarywiththeleadpipe.org/2018/information-preservation/. Archived at: https://perma.cc/42LB-VZ68.
Kitchin, Rob. 2014. The data revolution: Big data, open data, data infrastructures and their consequences. Los Angeles: Sage.
Noble, Safiya. 2013. “Google Search: Hyper-Visibility as a Means of Rendering Black Women and Girls Invisible.” InVisible Culture: An Electronic Journal for Visual Culture 19. (October 29, 2013). http://ivc.lib.rochester.edu/google-search-hyper-visibility-as-a-means-of-rendering-black-women-and-girls-invisible/. Archived at: https://perma.cc/9V44-TZU8.
Noble, Safiya. 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. New York: New York University Press.
O’Neil, Cathy. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. First edition. New York: Crown.
Rosenberg, D. 2013. “Data Before the Fact.” In: “Raw Data” Is an Oxymoron, Gitelman, Lisa (ed.). Cambridge, Massachusetts: The MIT Press.
Tactical Technology Collective. 2016. Decoding Data. https://exposingtheinvisible.org/guides/decoding-data. Archived at https://perma.cc/E63U-GWWT.
Wachter-Boettcher, Sara. 2017. Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech. First edition. New York, NY: W.W. Norton & Company.
Wreyford, Natalie, and Shelley Cobb. 2017. “Data and Responsibility: Toward a Feminist Methodology for Producing Historical Data on Women in the Contemporary UK Film Industry.” Feminist Media Histories 3(3): 107–32. (July 1, 2017). DOI: https://doi.org/10.1525/fmh.2017.3.3.107
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Copyright (c) 2018 Brandon T. Locke, Jason A. Heppler
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