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Resources Mentioned in the Article

  • 1
    Jacobs, A. (2009). The pathologies of big data. Communications of the ACM, 52(8), 3644.
  • 2
    Pollock, R. (April 26, 2013). Forget big data, small data is the real revolution [blog post]. Open Knowledge Foundation Blog. Retrieved June 14, 2013, from http://blog.okfn.org/2013/04/22/forget-big-data-small-data-is-the-real-revolution/
  • 3
    Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2 (1), 18.
  • 4
    Dillon, A. (2007). Keynote address: Library and information science as a research domain: Problems and prospects. Information Research, 12(4), 124.
  • 5
    Wynholds, L. (2011). Linking to scientific data: Identity problems of unruly and poorly bounded digital objects. International Journal of Digital Curation, 6(1), 214225.
  • 6
    Berman, F. (2008). Got data?: A guide to data preservation in the information age. Communications of the ACM, 51(12), 5056.
  • 7
    Chen, J., & Huang, A. (January 2, 2013). 75% of research data is never made openly available. Program of the 23rd International CODATA Conference. Retrieved June 14, 2013, from http://codata2012.tw/news/75-of-research-data-is-never-made-openly-available
  • 8
    Piwowar, H., & Vision, T. J. (2013). Data reuse and the open data citation advantage. PeerJ PrePrints, 1, e1v1.
  • 9
    National Science Board. (2012). Science and engineering indicators for 2013. Arlington, VA: National Science Foundation. Retrieved June 14, 2013, from www.nsf.gov/statistics/seind12/pdf/seind12.pdf
  • 10
    Frohmann, B. (2004). Deflating information: From science studies to documentation. Toronto, Canada: University of Toronto Press.