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Improving reproducibility of GIScience publications through novel reproducibility guidelines and revised review procedures

  • Carlos Granell
  • , Frank Olaf Ostermann
  • , Daniel Nüst
  • , Peter Kedron
  • , Eftychia Koukouraki
  • , Miguel Matey-Sanz
  • , Rémy Decoupes
  • , Sergio Trilles
  • , Anita Graser
  • , Tom Niers
  • Jaume I University
  • University of Twente
  • Technische Universität Dresden
  • University of California at Santa Barbara
  • University of Münster
  • French National Research Institute for Agriculture, Food and the Environment (INRAE)

Research output: Contribution to journalArticlepeer-review

Abstract

Recent research in the field of geographic information science shows that reproducibility and replicability of publications have substantial room for improvement and proposes various actions to improve the situation. However, the impact of these actions remains unclear. This study investigates the combined effect of novel author guidelines and workflow review process, which award badges for successful reproductions, on the potential reproducibility of articles published in the AGILE conference series proceedings over the past decade. While replicating the approach of previous studies, this work expands the scope of prior reproducibility assessments and systematically compares the findings for the AGILE conference with those of the GIScience conference series proceedings, which has not undergone similar changes to guidelines or procedures. Results indicate that the reproducibility guidelines and the review process measurably improved the potential reproducibility of AGILE publications. The comparison with GIScience papers further suggests that clear and enforced guidance is a key driver for change. Our findings demonstrate the value of institutional policies and community norms in fostering reproducible research in the GIScience field and identify pathways for its ongoing improvement.
Original languageEnglish
Pages (from-to)67-93
JournalJournal of Spatial Information Science
Issue number32
DOIs
Publication statusPublished - 1 Jul 2026

Research Field

  • Multimodal Analytics

Keywords

  • Spatial data science
  • geographic information science
  • GIScience
  • Reproducibility
  • Reproducible research

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