1. Australian Government Productivity Commission. 2016. Data availability and use: Productivity commission draft report. Canberra: Commonwealth of Australia.
2. Australian Government. 2016. Linkable de-identified 10% sample of Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Schedule (PBS).
https://data.gov.au/dataset/a8e3c0bc-44ac-4e9a-8b3c-b779438ddb10
. Accessed February 4, 2017, but no longer available. An archived version can be found at
https://web.archive.org/web/20170204164647/
https://data.gov.au/dataset/a8e3c0bc-44ac-4e9a-8b3c-b779438ddb10
. Accessed 23 August 2017.
3. Barocas, S., and H. Nissenbaum. 2014. Big data’s end run around anonymity and consent. In Privacy, big data, and the public good, edited by J. Lane, V. Stodden, S. Bender, and H. Nissenbaum, 44–75. Cambridge: Cambridge University Press.
4. Barth-Jones, D. 2012. The “re-identification” of Governor William Weld’s medical information: A critical re-examination of health data identification risks, then and now.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2076397
. Accessed August 23, 2017.
5. Black Book Market Research. 2017. Healthcare’s digital divide widens, black book consumer survey.
https://blackbookmarketresearch.newswire.com/news/healthcares-digital-divide-widens-black-book-consumer-survey-18432252
. Accessed August 23, 2017.