Mitchell, S.N., Lahiff, A., Cummings, N., Hollocombe, J., Boskamp, BB, Field, R., Reddyhoff, D., Zarebski, K., Wilson, A., Viola, B., Burke, M, Archibald, B., Bessell, P.R., Blackwell, R., Boden, L.A., Brett, A., Brett, S., Dundas, R., Enright, J., Gonzalez-Beltran, A.N., Harris, C, Hinder, I., Hughes, C.D., Knight, M.A., Mano, V., McMonagle, C., Mellor, D.J., Mohr, S., Marion, G., Matthews, L., McKendrick, I.J., Pooley, C. M., Porphyre, T., Reeves, A., Townsend, E., Turner, R., Walton, J. and Reeve, R.(2022). FAIR data pipeline: provenance-driven data management for traceable scientific workflowsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 20210300. Royal Society Publshing.