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⟩