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FAIR data pipeline: provenance-driven data management for t..:

Mitchell, Sonia Natalie ; Lahiff, Andrew ; Cummings, Nathan...
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. Series A, Mathematical, physical, and engineering sciences , vol. 380 , no. 2233 , 20210300 . https://doi.org/10.1098/rsta.2021.0300. , 2022

Link: https://pure.sruc.ac.uk/en/publications/c5bd538b-eb69-..

RT Journal
T1 <Title>FAIR data pipeline: provenance-driven data management for traceable scientific workflows</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsrucpubl:oai:pure.atira.dk:publications_c5bd538b-eb69-47eb-9c33-c7495d54ce6d&Exemplar=1&LAN=DE
				
A1 Mitchell, Sonia Natalie
A1 Lahiff, Andrew
A1 Cummings, Nathan
A1 Hollocombe, Jonathan
A1 Boskamp, Bram
A1 Field, Ryan
A1 Reddyhoff, Dennis
A1 Zarebski, Kristian
A1 Wilson, Antony
A1 Viola, Bruno
A1 Burke, Martin
A1 Archibald, Blair
A1 Bessell, Paul
A1 Blackwell, Richard
A1 Boden, Lisa A
A1 Brett, Alys
A1 Brett, Sam
A1 Dundas, Ruth
A1 Enright, Jessica
A1 Gonzalez-Beltran, Alejandra N
A1 Harris, Claire
A1 Hinder, Ian
A1 David Hughes, Christopher
A1 Knight, Martin
A1 Mano, Vino
A1 McMonagle, Ciaran
A1 Mellor, Dominic
A1 Mohr, Sibylle
A1 Marion, Glenn
A1 Matthews, Louise
A1 McKendrick, Iain J
A1 Mark Pooley, Christopher
A1 Porphyre, Thibaud
A1 Reeves, Aaron
A1 Townsend, Edward
A1 Turner, Robert
A1 Walton, Jeremy
A1 Reeve, Richard
YR 2022
K1 FAIR
K1 provenance
K1 data management
K1 epidemiology
K1 modelling
K1 COVID-19
JF 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. Series A, Mathematical, physical, and engineering sciences , vol. 380 , no. 2233 , 20210300 . https://doi.org/10.1098/rsta.2021.0300
LK http://dx.doi.org/https://pure.sruc.ac.uk/en/publications/c5bd538b-eb69-47eb-9c33-c7495d54ce6d
DO https://pure.sruc.ac.uk/en/publications/c5bd538b-eb69-47eb-9c33-c7495d54ce6d
SF ELIB - SuUB Bremen

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