Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3739-2016
Special issue:
https://doi.org/10.5194/hess-20-3739-2016
Opinion article
 | 
12 Sep 2016
Opinion article |  | 12 Sep 2016

HESS Opinions: Repeatable research: what hydrologists can learn from the Duke cancer research scandal

Michael N. Fienen and Mark Bakker

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Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
Raoul Alexander Collenteur, Ezra Haaf, Mark Bakker, Tanja Liesch, Andreas Wunsch, Jenny Soonthornrangsan, Jeremy White, Nick Martin, Rui Hugman, Michael Fienen, Ed de Sousa, Didier Vanden Berghe, Xinyang Fan, Tim Peterson, Janis Bikše, Antoine Di Ciacca, Xinyue Wang, Yang Zheng, Maximilian Nölscher, Julian Koch, Raphael Schneider, Nikolas Benavides Höglund, Sivarama Krishna Reddy Chidepudi, Abel Henriot, Nicolas Massei, Abderrahim Jardani, Max Gustav Rudolph, Amir Rouhani, Jaime Gómez-Hernández, Seifeddine Jomaa, Anna Pölz, Tim Franken, Morteza Behbooei, Jimmy Lin, Bryan Tolson, and Rojin Meysami
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-111,https://doi.org/10.5194/hess-2024-111, 2024
Revised manuscript accepted for HESS
Short summary

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Cited articles

Anderson, M. P., Woessner, W. W., and Hunt, R. J.: Applied Groundwater Modeling, 2nd Edn., Academic Press, San Diego, 2015.
Bakker, M.: Semi-analytic modeling of transient multi-layer flow with TTim, Hydrogeol. J., 21, 935–943, 2013.
Bakker, M., Post, V., Langevin, C., Hughes, J., White, J., Starn, J., and Fienen, M.: Scripting MODFLOW model development using Python and FloPy, Groundwater, https://doi.org/10.1111/gwat.12413, in press, 2016.
Califf, R. M. and Kornbluth, S.: Establishing a Framework for Improving the Quality of Clinical and Translational Research, J. Clin. Oncol., 30, 1725–1726, https://doi.org/10.1200/JCO.2011.41.4458, 2012.
Carlson, B.: Putting oncology patients at risk, Biotechnol. Healthcare, 9, 17–21, 2012.
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Short summary
In the field of cancer research, a scandal occurred at Duke University in the USA in which independent researchers were unable to repeat analysis performed by another group. This led to recommendations by the university and governing organizations to motivate the use of scripting languages to enhance repeatability of research. The hydrology community can easily adopt similar protocols to enhance the integrity of our data analysis and modeling.
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