Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3739-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-20-3739-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Opinion article
| 
12 Sep 2016
Opinion article |
| 12 Sep 2016
HESS Opinions: Repeatable research: what hydrologists can learn from the Duke cancer research scandal
US Geological Survey Wisconsin Water Science Center, Middleton, Wisconsin, USA
Mark Bakker
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
Viewed
Total article views: 3,007 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 May 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,985 | 867 | 155 | 3,007 | 80 | 80 |
- HTML: 1,985
- PDF: 867
- XML: 155
- Total: 3,007
- BibTeX: 80
- EndNote: 80
Total article views: 2,288 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Sep 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,480 | 654 | 154 | 2,288 | 76 | 75 |
- HTML: 1,480
- PDF: 654
- XML: 154
- Total: 2,288
- BibTeX: 76
- EndNote: 75
Total article views: 719 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 May 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 505 | 213 | 1 | 719 | 4 | 5 |
- HTML: 505
- PDF: 213
- XML: 1
- Total: 719
- BibTeX: 4
- EndNote: 5
Cited
16 citations as recorded by crossref.
- Pastas: Open Source Software for the Analysis of Groundwater Time Series R. Collenteur et al. 10.1111/gwat.12925
- 基于子域解析元素法的煤矿地下水流场模拟 X. Ren et al. 10.3799/dqkx.2020.389
- Modflow-setup: Robust automation of groundwater model construction A. Leaf & M. Fienen 10.3389/feart.2022.903965
- Application of Time Series Analysis to Estimate Drawdown From Multiple Well Fields D. Brakenhoff et al. 10.3389/feart.2022.907609
- The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation T. Caldwell et al. 10.2136/vzj2019.04.0034
- An ensemble-based approach for pumping optimization in an island aquifer considering parameter, observation and climate uncertainty C. Coulon et al. 10.5194/hess-28-303-2024
- The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility J. Hamman et al. 10.5194/gmd-11-3481-2018
- Design with Simon's Inner and Outer Environments: Theoretical Foundations for Design Science Research Methods for Digital Science V. Storey & R. Baskerville 10.1145/3640819
- Data‐Sharing Requires Script‐Sharing M. Bakker 10.1111/gwat.12852
- Toward Reproducible Environmental Modeling for Decision Support: A Worked Example J. White et al. 10.3389/feart.2020.00050
- VisU-HydRA: A Computational Toolbox for Groundwater Contaminant Transport to Support Risk-Based Decision Making M. Morvillo et al. 10.3389/feart.2022.916198
- Risk‐Based Wellhead Protection Decision Support: A Repeatable Workflow Approach M. Fienen et al. 10.1111/gwat.13129
- Integrating field observations and process-based modeling to predict watershed water quality under environmental perturbations X. Chen et al. 10.1016/j.jhydrol.2020.125762
- Evaluation of analytic solutions for steady interface flow where the aquifer extends below the sea M. Bakker et al. 10.1016/j.jhydrol.2017.04.009
- Automated Approach for Construction of Long-Term, Data-Intensive Watershed Models D. Lampert & M. Wu 10.1061/(ASCE)CP.1943-5487.0000762
- Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses J. White et al. 10.1016/j.envsoft.2021.105022
16 citations as recorded by crossref.
- Pastas: Open Source Software for the Analysis of Groundwater Time Series R. Collenteur et al. 10.1111/gwat.12925
- 基于子域解析元素法的煤矿地下水流场模拟 X. Ren et al. 10.3799/dqkx.2020.389
- Modflow-setup: Robust automation of groundwater model construction A. Leaf & M. Fienen 10.3389/feart.2022.903965
- Application of Time Series Analysis to Estimate Drawdown From Multiple Well Fields D. Brakenhoff et al. 10.3389/feart.2022.907609
- The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation T. Caldwell et al. 10.2136/vzj2019.04.0034
- An ensemble-based approach for pumping optimization in an island aquifer considering parameter, observation and climate uncertainty C. Coulon et al. 10.5194/hess-28-303-2024
- The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility J. Hamman et al. 10.5194/gmd-11-3481-2018
- Design with Simon's Inner and Outer Environments: Theoretical Foundations for Design Science Research Methods for Digital Science V. Storey & R. Baskerville 10.1145/3640819
- Data‐Sharing Requires Script‐Sharing M. Bakker 10.1111/gwat.12852
- Toward Reproducible Environmental Modeling for Decision Support: A Worked Example J. White et al. 10.3389/feart.2020.00050
- VisU-HydRA: A Computational Toolbox for Groundwater Contaminant Transport to Support Risk-Based Decision Making M. Morvillo et al. 10.3389/feart.2022.916198
- Risk‐Based Wellhead Protection Decision Support: A Repeatable Workflow Approach M. Fienen et al. 10.1111/gwat.13129
- Integrating field observations and process-based modeling to predict watershed water quality under environmental perturbations X. Chen et al. 10.1016/j.jhydrol.2020.125762
- Evaluation of analytic solutions for steady interface flow where the aquifer extends below the sea M. Bakker et al. 10.1016/j.jhydrol.2017.04.009
- Automated Approach for Construction of Long-Term, Data-Intensive Watershed Models D. Lampert & M. Wu 10.1061/(ASCE)CP.1943-5487.0000762
- Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses J. White et al. 10.1016/j.envsoft.2021.105022
Discussed (preprint)
Latest update: 18 Apr 2024
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.
In the field of cancer research, a scandal occurred at Duke University in the USA in which...
Special issue