Free access to Significance special report on data and privacy


  • Author: Statistics Views
  • Date: 24 November 2014

The October 2014 issue of Significance included a special report on data and privacy, which explores the tricky balance to be struck between profiting from information and protecting individuals. As part of that report, we look at how statistical models are used to stop would-be data thieves from hacking into computer networks.

To read the report in full, please click the link below:

Data and privacy: Now you see me; New model for data sharing; Modern governance and statisticians

Significance, 11:4 10–17. doi: 10.1111/j.1740-9713.2014.00762.x

thumbnail image: Free access to Significance special report on data and privacy

Does data anonymisation work? The answer depends on who you talk to. But finding a way to preserve privacy while sharing valuable data is crucial to the future of our information society. Significance editor Brian Tarran reports.

A new model for data sharing. Will the openPDS initiative at MIT solve the data privacy problem once and for all? Brian Tarran interviews researcher Brian Sweatt.

Why modern governance needs statisticians. Sam Smith writes: Policy-makers are hungry to take advantage of big data, but they must heed the warnings of statisticians when they say “enough is enough”.

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.