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Open AccessArticle

Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research

1
Departament de Geografia, Universitat Rovira i Virgili, C/ Joanot Martorell, 43480 Vilaseca, Spain
2
Institute of New Imaging Technologies (INIT), Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castelló de la Plana, Spain
3
Instituto Interuniversitario de Geografía (IIG), Universidad de Alicante, C/ San Vicente s/n, 03690 Alicante, Spain
*
Author to whom correspondence should be addressed.
The authors contributed equally to this work.
ISPRS Int. J. Geo-Inf. 2020, 9(3), 138; https://doi.org/10.3390/ijgi9030138
Received: 17 November 2019 / Revised: 30 January 2020 / Accepted: 20 February 2020 / Published: 25 February 2020
(This article belongs to the Special Issue Open Science in the Geospatial Domain)
Scientific reproducibility is essential for the advancement of science. It allows the results of previous studies to be reproduced, validates their conclusions and develops new contributions based on previous research. Nowadays, more and more authors consider that the ultimate product of academic research is the scientific manuscript, together with all the necessary elements (i.e., code and data) so that others can reproduce the results. However, there are numerous difficulties for some studies to be reproduced easily (i.e., biased results, the pressure to publish, and proprietary data). In this context, we explain our experience in an attempt to improve the reproducibility of a GIScience project. According to our project needs, we evaluated a list of practices, standards and tools that may facilitate open and reproducible research in the geospatial domain, contextualising them on Peng’s reproducibility spectrum. Among these resources, we focused on containerisation technologies and performed a shallow review to reflect on the level of adoption of these technologies in combination with OSGeo software. Finally, containerisation technologies proved to enhance the reproducibility and we used UML diagrams to describe representative work-flows deployed in our GIScience project. View Full-Text
Keywords: reproducibility; open science; open reproducible research; GIScience; containerisation; dockers; UML reproducibility; open science; open reproducible research; GIScience; containerisation; dockers; UML
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MDPI and ACS Style

Zaragozí, B.M.; Trilles, S.; Navarro-Carrión, J.T. Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research. ISPRS Int. J. Geo-Inf. 2020, 9, 138.

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