Autor según el artículo: Zaragozi, Benito M.; Trilles, Sergio; Navarro-Carrion, Jose T.;

Departamento: Geografia

Autor/es de la URV: Zaragozí Zaragozí, Benito Manuel

Palabras clave: Uml Software Reproducibility Open science Open reproducible research Growth Giscience Gis Framework Dockers Containerisation

Resumen: 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.

Grupo de investigación: GRATET. Anàlisi Territorial i Estudis Turístics

Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Remote sensing Medicina veterinaria Geography, planning and development Geography, physical Geografía Geociências Engenharias i Earth and planetary sciences (miscellaneous) Computers in earth sciences Computer science, information systems Ciencias sociales Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 22209964

Direcció de correo del autor: benito.zaragozi@urv.cat

Identificador del autor: 0000-0003-2501-484X

Fecha de alta del registro: 2023-02-19

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://www.mdpi.com/2220-9964/9/3/138

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Isprs International Journal Of Geo-Information. 9 (3):

Referencia de l'ítem segons les normes APA: Zaragozi, Benito M.; Trilles, Sergio; Navarro-Carrion, Jose T.; (2020). Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research. Isprs International Journal Of Geo-Information, 9(3), -. DOI: 10.3390/ijgi9030138

DOI del artículo: 10.3390/ijgi9030138

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2020

Tipo de publicación: Journal Publications