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Reproducible research and GIScience: an evaluation using AGILE conference papers
Daniel Nüst1, Carlos Granell2, Barbara Hofer3
1Institute for Geoinformatics, University of Münster, Münster, Germany.
Peerj
|July 18, 2018
Summary
Reproducible research is crucial for data analysis. This study proposes actions for geographic information science (GIScience) to enhance transparency and reproducibility, addressing a lack of incentives for researchers.
Area of Science:
- Geographic Information Science (GIScience)
- Computational Methods
- Data Analysis
Background:
- Growing demand for reproducible research in data-intensive fields.
- Existing recommendations for reproducibility need practical application in GIScience.
- Need for standardized criteria to assess reproducibility in GIScience publications.
Purpose of the Study:
- To develop and apply criteria for assessing the reproducibility of GIScience articles.
- To gather feedback from authors on the challenges and incentives for reproducible research.
- To propose actionable strategies for improving transparency and reproducibility in GIScience.
Main Methods:
- Reviewing current reproducible research recommendations.
- Developing specific criteria for GIScience article reproducibility.
- Assessing a sample of GIScience studies from the AGILE conference series.
- Collecting feedback from study authors on the assessment process.
Main Results:
- Authors generally support reproducible research but face insufficient incentives.
- Current practices in GIScience may not fully meet reproducibility standards.
- Author feedback highlights the need for better support and recognition for reproducible work.
Conclusions:
- GIScience conferences and researchers must actively promote reproducibility.
- Concrete actions include offering awards, badges, and clear author guidelines.
- Publishing in Open Access formats can further enhance transparency and accessibility.
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