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

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/103367
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Title: Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research
Authors: Zaragozí Zaragozí, Benito Manuel | Trilles, Sergio | Navarro Carrión, José Tomás
Center, Department or Service: Universidad de Alicante. Instituto Interuniversitario de Geografía
Keywords: Reproducibility | Open science | Open reproducible research | GIScience | Containerisation | Dockers | UML
Issue Date: 25-Feb-2020
Publisher: MDPI
Citation: Zaragozí BM, Trilles S, Navarro-Carrión JT. Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research. ISPRS International Journal of Geo-Information. 2020; 9(3):138. doi:10.3390/ijgi9030138
Abstract: 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.
Sponsor: This work has been funded by the Generalitat Valenciana through the “Subvenciones para la realización de proyectos de I+D+i desarrollados por grupos de investigación emergentes” programme (GV/2019/016) and by the Spanish Ministry of Economy and Competitiveness under the subprogrammes Challenges-Collaboration 2014 (RTC-2014-1863-8) and Challenges R+D+I 2016 (CSO2016-79420-R AEI/FEDER, EU). Sergio Trilles has been funded by the postdoctoral programme PINV2018 - Universitat Jaume I (POSDOC-B/2018/12) and stays programme PINV2018 - Universitat Jaume I (E/2019/031).
URI: http://hdl.handle.net/10045/103367
ISSN: 2220-9964
DOI: 10.3390/ijgi9030138
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.3390/ijgi9030138
Appears in Collections:Personal Investigador sin Adscripción a Grupo

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