Reproducible research and GIScience

An evaluation using AGILE conference papers

Journal Article (2018)
Author(s)

Daniel Nüst (Universität Münster)

Carlos Granell (Universitat Jaume I)

Barbara Hofer (University of Salzburg)

Markus Konkol (Universität Münster)

Frank O. Ostermann (University of Twente)

R. Sileryte (TU Delft - Environmental Technology and Design)

Valentina Cerutti (University of Twente)

Research Group
Environmental Technology and Design
Copyright
© 2018 Daniel Nüst, Carlos Granell, Barbara Hofer, Markus Konkol, Frank O. Ostermann, R. Sileryte, Valentina Cerutti
DOI related publication
https://doi.org/10.7717/peerj.5072
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 Daniel Nüst, Carlos Granell, Barbara Hofer, Markus Konkol, Frank O. Ostermann, R. Sileryte, Valentina Cerutti
Research Group
Environmental Technology and Design
Issue number
6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

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 we collected feedback about the assessment from the study authors. Results from the author feedback indicate that although authors support the concept of performing reproducible research, the incentives for doing this in practice are too small. Therefore, we propose concrete actions for individual researchers and the GIScience conference series to improve transparency and reproducibility. For example, to support researchers in producing reproducible work, the GIScience conference series could offer awards and paper badges, provide author guidelines for computational research, and publish articles in Open Access formats.