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Published on: September 11, 2016
Assessing data availability and research reproducibility in hydrology and water resources
James H Stagge1,2, David E Rosenberg1, Adel M Abdallah1,3
1Utah State University, Department of Civil and Environmental Engineering and Utah Water Research Laboratory, Logan, UT 84321, USA.
Reproducibility in research is crucial. A new survey tool found that only 1.6% of tested hydrology articles had reproducible results, highlighting key bottlenecks like missing digital artifacts and lack of clear directions.
Area of Science:
- Hydrology and Water Resources
- Scientific Publishing
- Research Reproducibility
Background:
- Improving the reproducibility of published research is a significant concern across scientific disciplines.
- The availability of digital research artifacts (data, models, code) is essential for verifying study outcomes.
Purpose of the Study:
- To develop and apply a survey tool to assess the availability of digital research artifacts and the reproducibility of results in hydrology and water resources articles.
- To identify key bottlenecks hindering research reproducibility in the field.
Main Methods:
- A survey tool was developed to evaluate digital artifact availability and result reproducibility.
- The tool was used to assess 360 articles from six hydrology and water resources journals published in 2017.
- Reproducibility was tested using the available digital artifacts.
Main Results:
- Only 1.6% of the tested articles had their results reproduced using available artifacts.
- An estimated 0.6% to 6.8% of all articles might have reproducible results.
- Key bottlenecks identified include incomplete artifact availability (44%), lack of directions (89%), and non-reproducible results despite artifact availability (5%).
Conclusions:
- The developed survey tool effectively identifies critical barriers to research reproducibility in hydrology.
- The findings underscore the need for improved practices in sharing digital research artifacts and ensuring result reproducibility.
- The tool can assist authors, journals, and institutions in assessing and enhancing research reproducibility.
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