A Position Statement on Population Data Science: The Science of Data about People

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations 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 challenges of bala...

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Detalles Bibliográficos
Autores principales: McGrail, Kimberlyn M, Jones, Kerina, Akbari, Ashley, Bennett, Tellen D, Boyd, Andy, Carinci, Fabrizio, Cui, Xinjie, Denaxas, Spiros, Dougall, Nadine, Ford, David, Kirby, Russell, Kum, Hye-Chung, Moorin, Rachael, Moran, Ros, O’Keefe, Christine M, Preen, David, Quan, Hude, Sanmartin, Claudia, Schull, Michael, Smith, Mark, Williams, Christine, Williamson, Tyler, Wyper, Grant MA, Kotelchuck, Milton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2018
Materias:
Population Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142960/
https://www.ncbi.nlm.nih.gov/pubmed/34095517
http://dx.doi.org/10.23889/ijpds.v3i1.415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142960/
https://www.ncbi.nlm.nih.gov/pubmed/34095517
http://dx.doi.org/10.23889/ijpds.v3i1.415

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