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pro vyhledávání: '"Alys, Brett"'
Autor:
Nigel Shadbolt, Alys Brett, Min Chen, Glenn Marion, Iain J. McKendrick, Jasmina Panovska-Griffiths, Lorenzo Pellis, Richard Reeve, Ben Swallow
Publikováno v:
Epidemics, Vol 40, Iss , Pp 100612- (2022)
The use of data has been essential throughout the unfolding COVID-19 pandemic. We have needed it to populate our models, inform our understanding, and shape our responses to the disease. However, data has not always been easy to find and access, it h
Externí odkaz:
https://doaj.org/article/a246d30ac30542eea2117a9d3c3ad750
Autor:
Sonia Natalie Mitchell, Andrew Lahiff, Nathan Cummings, Jonathan Hollocombe, Bram Boskamp, Ryan Field, Dennis Reddyhoff, Kristian Zarebski, Antony Wilson, Bruno Viola, Martin Burke, Blair Archibald, Paul Bessell, Richard Blackwell, Lisa A. Boden, Alys Brett, Sam Brett, Ruth Dundas, Jessica Enright, Alejandra N. Gonzalez-Beltran, Claire Harris, Ian Hinder, Christopher David Hughes, Martin Knight, Vino Mano, Ciaran McMonagle, Dominic Mellor, Sibylle Mohr, Glenn Marion, Louise Matthews, Iain J. McKendrick, Christopher Mark Pooley, Thibaud Porphyre, Aaron Reeves, Edward Townsend, Robert Turner, Jeremy Walton, Richard Reeve
Publikováno v:
Mitchell, S N, Lahiff, A, Cummings, N, Hollocombe, J, Boskamp, B, Field, R, Reddyhoff, D, Zarebski, K, Wilson, A, Viola, B, Burke, M, Archibald, B, Bessell, P, Blackwell, R, Boden, L A, Brett, A, Brett, S, Dundas, R, Enright, J, Gonzalez-Beltran, A N, Harris, C, Hinder, I, David Hughes, C, Knight, M, Mano, V, McMonagle, C, Mellor, D, Mohr, S, Marion, G, Matthews, L, McKendrick, I J, Mark Pooley, C, Porphyre, T, Reeves, A, Townsend, E, Turner, R, Walton, J & Reeve, R 2022, ' FAIR data pipeline : provenance-driven data management for traceable scientific workflows ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210300 . https://doi.org/10.1098/rsta.2021.0300
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022, 380 (2233), ⟨10.1098/rsta.2021.0300⟩
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022, 380 (2233), ⟨10.1098/rsta.2021.0300⟩
Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changing during a disease outbreak, are particularly challenging. Data manage
Autor:
Sonia Natalie, Mitchell, Andrew, Lahiff, Nathan, Cummings, Jonathan, Hollocombe, Bram, Boskamp, Ryan, Field, Dennis, Reddyhoff, Kristian, Zarebski, Antony, Wilson, Bruno, Viola, Martin, Burke, Blair, Archibald, Paul, Bessell, Richard, Blackwell, Lisa A, Boden, Alys, Brett, Sam, Brett, Ruth, Dundas, Jessica, Enright, Alejandra N., Gonzalez-Beltran, Claire, Harris, Ian, Hinder, Christopher David, Hughes, Martin, Knight, Vino, Mano, Ciaran, Mcmonagle, Dominic, Mellor, Sibylle, Mohr, Glenn, Marion, Louise, Matthews, Iain J., Mckendrick, Christopher Mark, Pooley, Thibaud, Porphyre, Aaron, Reeves, Edward, Townsend, Robert, Turner, Jeremy, Walton, Richard, Reeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::adec1354d48482c59dae9643f6e648da
https://hal.science/hal-03747524
https://hal.science/hal-03747524