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O Privacy, Where Art Thou? Making Confidential Data Part of Reproducible Research

Further Reading

  • Abowd, J. M., Vilhuber, L., and Block, W. 2012. A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. In J. Domingo-Ferrer & I. Tinnirello (eds.), Privacy in Statistical Databases 7 (556) pp.216–225. Berlin/Heidelberg, Germany: Springer Berlin Heidelberg. http://bit.ly/2uSy5XK.
  • Altman, M., Arnaud, E., Borgman, C., Callaghan, S., Brase, J., Carpenter, T., and Socha, Y. (Editor). 2013. Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for Data Citation. Data Science Journal, 12, pp.1–75. https://doi.org/10.2481/dsj.OSOM13-043.
  • Bourne, P.E., Clark, T., Dale, R., de Waard, A., Herman, I., Hovy, E., and Shotton, D. 2011. FORCE11 MANIFESTO. FORCE11: The Future of Research Communications and e-Scholarship. http://bit.ly/2uPrfEj.
  • ICPSR. 2016. Citing Data. http://bit.ly/2uSLO0P.
  • Stodden, V., McNutt, M., Bailey, D.H., Deelman, E., Gil, Y., Hanson, B., Taufer, M. 2016. Enhancing reproducibility for computational methods. Science 354 (6,317), pp. 1,240–1,241. http://doi.org/10.1126/science.aah6168.

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