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Synthetic data in the civil service
Author(s) -
Kaloskampis Ioannis,
Joshi Chaitanya,
Cheung Catrin,
Pugh David,
Nolan Louisa
Publication year - 2020
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/1740-9713.01466
Subject(s) - civil service , service (business) , computer science , operations research , data science , computer security , law , political science , business , engineering , marketing , public service
In a data‐driven economy, access to data is vital. So, what happens when data are not available due to disclosure issues or other restrictions? As Ioannis Kaloskampis, Chaitanya Joshi, Catrin Cheung, David Pugh and Louisa Nolan explain, in such situations it may still be possible to draw useful conclusions based on carefully manufactured data