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The following articles and documents may be helpful in implementing the guidelines for authors and reviewers, and provide background and motivation for decisions. If you are unfamiliar with the topic, start from the top and work your way down.
- The Turing Way's Guide for Reproducible Research: https://the-turing-way.netlify.app/reproducible-research/reproducible-research.html
- Reproducibility Starts from You Today: https://doi.org/10.1016/j.patter.2020.100099
- Top Tips to Make Your Research Irreproducible: https://arxiv.org/abs/1504.00062v2
- Ten Simple Rules for Reproducible Computational Research: https://doi.org/10.1371/journal.pcbi.1003285
- Nüst, Daniel, and Pebesma, Edzer. 2020. Practical reproducibility in geography and geosciences. Annals of the American Association of Geographers. doi:10.1080/24694452.2020.1806028; PDF: Nüst-and-Pebesma_2020_AAM_Practical-Reproducibility-in-Geography-and-Geosciences.pdf
- A Five-Star Guide for Achieving Replicability and Reproducibility When Working with GIS Software and Algorithms: https://doi.org/10.1080/24694452.2020.1806026
Reproduction studies related to GIScience
- Reproducible research and GIScience: an evaluation using AGILE conference papers: https://doi.org/10.7717/peerj.5072
- In-depth examination of spatiotemporal figures in open reproducible research: https://doi.org/10.1080/15230406.2018.1512421
- Computational reproducibility in geoscientific papers: Insights from a series of studies with geoscientists and a reproduction study: https://doi.org/10.1080/13658816.2018.1508687
- Code Replicability in Computer Graphics: https://doi.org/10.1145/3386569.3392413 (means "reproducibility")
Software citation
- The importance of software citation: https://f1000research.com/articles/9-1257/v1
- Attributing and Referencing (research) Software: Best practices and Outlook from Inria: https://arxiv.org/abs/1905.11123
Preregistration of studies
If you want to run experiments/studies properly, consider doing a preregistration on OSF: https://osf.io/prereg/
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