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.
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2022
