A Position Statement on Population Data Science:

A Position Statement on Population Data Science:

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations in near real time using linked datasets that are large, complex, and diverse. The potential social and individual benefits that can come from data-intensive science are large, but raise...

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Bibliographic Details
Main Authors: Kim McGrail, Kerina Jones, Ashley Akbari, Tell Bennett, Andrew Boyd, Fabrizio Carinci, Xinjie Cui, Spiros Denaxas, Nadine Dougall, David Ford, Russell S Kirby, Hye-Chung Kum, Rachael Moorin, Ros Moran, Christine O'Keefe, David Preen, Hude Quan, Claudia Sanmartin, Michael Schull, Mark Smith, Christine Williams, Tyler Williamson, Grant Wyper, Milton Kotelchuck
Format: Article
Language:English
Published: Swansea University 2018-02-01
Series:International Journal of Population Data Science
Subjects:
data science; informatics; data linkage; public engagement;
Online Access:https://ijpds.org/article/view/415

Internet

https://ijpds.org/article/view/415

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