Reproducible research and GIScience: an evaluation using AGILE conference papers

@article{Nst2018ReproducibleRA,
  title={Reproducible research and GIScience: an evaluation using AGILE conference papers},
  author={Daniel N{\"u}st and Carlos Granell and Barbara Hofer and Markus Konkol and Frank O. Ostermann and Rusne Sileryte and Valentina Cerutti},
  journal={PeerJ},
  year={2018},
  volume={6}
}
The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility of articles in the field of geographic information science (GIScience). Using this criteria, we assessed a sample of GIScience studies from the Association of Geographic Information Laboratories in Europe (AGILE) conference series, and… 
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Reproducible Research and GIScience: an evaluation using GIScience conference papers
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It is argued that this closed form software is problematic and considers a number of ways in which issues identified in spatial data analysis could be overlooked when working with closed tools, leading to problems of interpretation and possibly inappropriate actions and policies based on these.
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TLDR
An exploratory study by conducting a survey addressed to researchers representing a range of disciplines to understand scientific experiments and research practices for reproducibility and offers general recommendations that could help the scientific community to understand, reproduce, and reuse experimental data and results in the research data lifecycle.
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