Overview

To further improve the reproducibility of work published in the Journal of Water Resources Planning and Management, narrow the gap between research and practice, and promote reproducibility as a moral and ethical imperative in our practice of science and engineering, the editorial board now encourages authors to add a “Reproducible Results” section immediately after the “Data Availability Statement” section in their manuscript. To incentivize authors to make their results more reproducible, the Journal will publish technical papers and case studies with verified reproducible results open access free to the authors for the next year. In future years, the Journal will publish technical papers and case studies with verified reproducible results open access either free or for a reduced fee, as funds are available. The Journal will also recognize papers with reproducible results in a new special collection and offer two new annual reproducibility awards for authors and the people who assess the reproducibility of results.

Add a Reproducible Results Section

Authors of any article type may add an optional “Reproducible Results” section to their manuscript if all research materials listed in the “Data Availability Statement” section are publicly available in a repository or online. Next, authors must follow best practices to improve result reproducibility (Rosenberg et al. 2020). One best practice is to have a colleague, student, or other person not affiliated with the study reproduce manuscript results. In the “Reproducible Results” section, authors must list which figures, tables, or other results in their manuscript have been reproduced and by whom. This demonstrates that the authors have identified and addressed any bugs, missing materials, unclear directions, and other glitches that often befall initial versions of repositories and prevent reproduction. A “Reproducible Results” section for an initial submission may look like the following:
Joseph Kasprzyk (University of Colorado, Boulder) downloaded, installed, and ran the optimization model using the input data set and reproduced results in Fig. 1.
Ashlynn Stillwell (University of Illinois at Urbana-Champaign) downloaded all materials, ran the simulation model for low, medium, and high scenarios, and reproduced results in Tables 1 and 2.
Fig. 1. New process to handle manuscripts with reproducible results.

Process to Review and Assess Reproducibility

The Journal has identified multiple new associate editors for reproducibility (AER) to verify statements in the reproducible results sections of submitted manuscripts. On receipt of a manuscript with a reproducible results section, the Journal editor will continue to assign the manuscript to a topical associate editor (AE) for managing the existing peer-review process. The editor will also simultaneously assign the manuscript to an AER. The AER will either attempt to reproduce results themselves or invite a reproducibility reviewer to reproduce manuscript results. The AER or reproducibility reviewer will spend no more than 2 working days to try to reproduce manuscript results. This 2-day limit puts an upper bound on the time commitment requested for an AER or reproducibility reviewer to reproduce results. This limit simultaneously communicates to authors the level of organization needed for data, models, code, directions, and other artifacts so AERs, reproducibility reviewers, and Journal readers can reproduce results in a timely manner even if they are not familiar with the tools or models [see additional suggestions in Rosenberg et al. (2020)].
The AER will complete a short worksheet (available in the Supplemental Materials) that assesses the accuracy of the statements in the manuscript’s “Reproducible Results” section, lists the results that were reproduced, and recommends improvements to make results more reproducible. The AE and AER will coordinate on the subsequent recommendation to the editor on manuscript acceptance. Observations and findings on reproducible results will not typically affect recommendations on manuscript acceptance—only in the extreme case when efforts to reproduce results identify major errors in the manuscript’s overall conclusions. While under review, all data, models, code, directions, and other materials that authors provide will be subject to standard journal confidentiality restrictions (even if the authors permit sharing). Should an anonymous reviewer reproduce some or all results as part of their review, the reviewer may communicate those finding(s) to the AE as part of their review. After manuscript results are successfully reproduced, the authors will add wording like the following to the “Reproducible Results” section of their manuscript:
James Stagge (associate editor for reproducibility) downloaded all materials and reproduced results in all figures and tables.
Fig. 1 shows the new process to handle manuscripts with a new reproducible results section.

Work That Can Be Reproduced

By following best practices, authors can include results from open source, proprietary, stochastic, and/or computationally intensive data, models, and code in the “Reproducible Results” section. The editorial board encourages all of these methods along with associated best practices to foster reproducibility. Reproducibility should be agnostic to the tools and technology used. The Journal’s audience is water resource professionals and scientists who may or may not be familiar with a specific software, model, or tool used in the manuscript. Therefore, authors must share code, models, and data, and sufficiently describe and document their use so the AER, a reproducibility reviewer, and Journal readers can identify and follow the steps taken to arrive at the desired results (Rosenberg et al. 2020).
For work that uses a proprietary model or a data-intensive workflow, authors must also
List in the online repository and directions the workflow steps that are proprietary or require special access.
Provide instructions for how the AER or a reproducibility reviewer may obtain a temporary license to use or access the model, software, server, or other restricted steps of the workflow. These instructions may direct the AER or reproducibility reviewer to contact the authors. The Journal recognizes that some communication may be needed between the authors and the person reproducing results.
Alternatively, share inputs to and the immediate outputs from each proprietary or computationally intensive step in the workflow (Rosenberg et al. 2020).

Incentives for Authors

To encourage authors to make their work more reproducible, the Journal will publish technical papers and case studies with verified reproducible results open access free to the authors for the first year, and either free or for a reduced fee in future years, depending on the availability of funds. As part of the review process, the AER will also award a bronze level of reproducibility to each paper that publishes or makes all data, model, code, and directions available online. The AER will additionally award a silver level of reproducibility to papers with verified reproducible results (Stagge et al. 2019). To make it easier to find and track articles with reproducible results, the Journal will feature these articles in a new special collection of articles with reproducible results. Topical AEs will also identify manuscripts that already make all the data, models, and code available online and encourage authors to take the next step of adding a “Reproducible Results” section.
The Journal will also introduce two new annual awards for authors and reproducibility reviewers:
Outstanding effort to make results more reproducible: awarded to authors of published papers that show outstanding effort to make complex results more reproducible.
Outstanding effort to reproduce results: awarded to editors and reviewers who make outstanding efforts to reproduce results.

Summary

We intend for this new policy to (1) encourage authors to make their results more reproducible; (2) allow scientists and practitioners to more easily find and use reproducible work; (3) encourage further sharing and interaction between authors and readers; (4) recognize and reward authors who make their work more reproducible; and (5) increase the impact of work published in the Journal. We see this new policy as a further step forward to encourage authors, readers, practitioners, and our field to narrow the gap between research and practice. See Rosenberg and Watkins (2018) for further information on the precursor step to prepare a manuscript “Data Availability Statement” section. See Rosenberg et al. (2020) for practices to make results more reproducible.

Supplemental Materials

File (supplemental_materials_wr.1943-5452.0001368_rosenberg.pdf)

References

Rosenberg, D. E., Y. Filion, R. Teasley, S. Sandoval-Solis, J. S. Hecht, J. E. van Zyl, G. F. McMahon, J. S. Horsburgh, J. R. Kasprzyk, and D. G. Tarboton. 2020. “The next frontier: Making research more reproducible.” J. Water Resour. Plann. Manage. 146 (6): 01820002. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001215.
Rosenberg, D. E., and D. W. Watkins Jr. 2018. “New policy to specify availability of data, models, and code.” J. Water Resour. Plann. Manage. 144 (9): 01618001. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000998.
Stagge, J. H., D. E. Rosenberg, A. M. Abdallah, H. Akbar, N. A. Attallah, and R. James. 2019. “Assessing data availability and research reproducibility in hydrology and water resources.” Sci. Data 6: 190030. https://doi.org/10.1038/sdata.2019.30.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 2February 2021

History

Received: Nov 16, 2020
Accepted: Nov 18, 2020
Published online: Nov 30, 2020
Published in print: Feb 1, 2021
Discussion open until: Apr 30, 2021

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Authors

Affiliations

Professor, Dept. of Civil and Environmental Engineering and Utah Water Research Laboratory, Utah State Univ., 8200 Old Main Hill, Logan, UT 84322-8200 (corresponding author). ORCID: https://orcid.org/0000-0003-2163-2907. Email: [email protected]
Amber Spackman Jones [email protected]
Research Associate and Ph.D. Candidate, Dept. of Civil and Environmental Engineering and Utah Water Research Laboratory, Utah State Univ., 8200 Old Main Hill, Logan, UT 84322-8200. Email: [email protected]
Yves Filion, Ph.D., M.ASCE [email protected]
P.Eng.
D.WRE
Professor, Dept. of Civil Engineering, Queen’s Univ., 58 University Ave., Kingston, ON, Canada K7K0B9. Email: [email protected]
Rebecca Teasley, A.M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Minnesota Duluth, 1405 University Dr., Duluth, MI 55812. Email: [email protected]
Samuel Sandoval-Solis [email protected]
Associate Professor, Dept. of Land, Air, and Water Resources, Univ. of California, Davis, 1 Shields Ave., Davis, CA 95616. Email: [email protected]
James H. Stagge [email protected]
Assistant Professor, Civil, Environmental and Geodetic Engineering, Ohio State Univ., 470 Hitchcock Hall, 2070 Neil Ave., Columbus, OH 43210. Email: [email protected]
Adel Abdallah, S.M.ASCE [email protected]
Program Manager, Water Data Exchange (WaDE), Western States Water Council, 682 East Vine St., Suite 7, Salt Lake City, UT 84107. Email: [email protected]
Anthony Castronova [email protected]
Hydrologic Scientist, Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), 150 Cambridgepark Dr., Suite 203, Cambridge, MA 02140. Email: [email protected]
Avi Ostfeld, F.ASCE [email protected]
Professor and Vice Dean, Civil and Environmental Engineering, Technion—Israel Institute of Technology, Rabin Bldg., Room 610, Haifa 32000, Israel. Email: [email protected]
David Watkins Jr., M.ASCE [email protected]
Distinguished Professor, Dept. of Civil and Environmental Engineering, Michigan Technological Univ., 1400 Townsend Dr., Houghton, MI 49931. Email: [email protected]

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