Reproducible research and GIScience: An evaluation using AGILE conference papers

Daniel Nüst, Carlos Granell, Barbara Hofer, Markus Konkol, Frank O. Ostermann, Rusne Šileryte, Valentina Cerutti

Research output: Contribution to journalArticleScientificpeer-review

34 Citations (Scopus)
45 Downloads (Pure)


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.

Original languageEnglish
Article numbere5072
Number of pages23
Issue number6
Publication statusPublished - 1 Jan 2018


  • Data science
  • GIScience
  • Open access
  • Open science
  • Reproducible conference publications
  • Reproducible research


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