@article{Mitchell_S-2022_92771,
title = {FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows},
author = {Mitchell, S. and Lahiff, A. and Cummings, N. and Hollocombe, J. and Boskamp, B. and Field, R. and Reddyhoff, D. and Zarębski, K. and Wilson, A. and Viola, B. and Burke, M. and Archibald, B. and Bessell, P. and Blackwell, R. and Boden, L. and Brett, A. and Brett, S. and Dundas, R. and Enright, J. and Gonzalez-Beltran, A. and Harris, C. and Hinder, I. and Hughes, C. and Knight, M. and Mano, V. and McMonagle, C. and Mellor, D. and Mohr, S. and Marion, G. and Matthews, L. and McKendrick, I. and Pooley, C. and Porphyre, T. and Reeves, A. and Townsend, E. and Turner, R. and Walton, J. and Reeve, R.},
month = {oct},
year = {2022},
abstract = {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 management is further complicated by data being imprecisely identified when used. Public trust in policy decisions resulting from such analyses is easily damaged and is often low, with cynicism arising where claims of ‘following the science’ are made without accompanying evidence. Tracing the provenance of such decisions back through open software to primary data would clarify this evidence, enhancing the transparency of the decision-making process. Here, we demonstrate a Findable, Accessible, Interoperable and Reusable (FAIR) data pipeline. Although developed during the COVID-19 pandemic, it allows easy annotation of any data as they are consumed by analyses, or conversely traces the provenance of scientific outputs back through the analytical or modelling source code to primary data. Such a tool provides a mechanism for the public, and fellow scientists, to better assess scientific evidence by inspecting its provenance, while allowing scientists to support policymakers in openly justifying their decisions. We believe that such tools should be promoted for use across all areas of policy-facing research.},
volume = {380},
issue = {2233},
journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
publisher = {The Royal Society},
url = {https://dx.doi.org/10.1098/rsta.2021.0300},
}
