@article{Granell-Canut2020,
title = {Reproducibilidad en AGILE: Experiencias, logros y recomendaciones},
author = {Carlos Granell-Canut and Barbara Hofer and Daniel Nüst and Frank O. Ostermann and Rusne Sileryte},
doi = {https://doi.org/10.35424/rcarto.v0i100.668},
issn = {0080-2085},
year = {2020},
date = {2020-05-04},
journal = {Revista Cartográfica},
number = {100},
pages = {155-172},
abstract = {Este artículo describe las experiencias, actividades realizadas, recursos generados y recomendaciones para la promoción e incentivación de prácticas en investigación reproducible en el campo de la ciencia de la información geográfica. Aunque el artículo se centra en la comunidad y conferencia AGILE (Association of Geographic Information Laboratories in Europe), creemos que los recursos y lecciones aprendidas pueden ser extrapolables a comunidades y asociaciones científicas afines en otras regiones, como puede ser Latinoamérica. En este sentido, hacemos especial hincapié en la descripción de las directrices para la redacción de artículos reproducibles propuestas en el seno de AGILE, así como en una serie de recomendaciones dirigidas principalmente a asociaciones y organizadores de conferencias científicas para la adopción y promoción paulatina de dichas prácticas. Se trata pues de una llamada a la comunidad Latinoamérica de la ciencia de la información geográfica a que consideren los recursos aquí detallados con el fin de incentivar la investigación reproducible en sus comunidades científicas.},
keywords = {Reproducible research},
pubstate = {published},
tppubtype = {article}
}

@article{Zaragozí2020,
title = {Leveraging container technologies in a GIScience project: A Perspective from Open Reproducible Research},
author = {Benito M. Zaragozí and Sergio Trilles-Oliver and José T. Navarro-Carrión},
doi = {https://doi.org/10.3390/ijgi9030138 },
year = {2020},
date = {2020-04-16},
journal = {ISPRS International Journal of Geo-Information},
volume = {9},
pages = {138},
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},
keywords = {Open science, Reproducible research},
pubstate = {published},
tppubtype = {article}
}

@article{Granell-Canut2018,
title = {Reproducible Research is like riding a bike},
author = {Carlos Granell-Canut and Daniel Nüst and Frank Ostermann and Rusne Sileryte},
doi = {https://doi.org/10.7287/peerj.preprints.27216v1 },
year = {2018},
date = {2018-03-29},
journal = {PeerJ},
pages = {e27216v1},
abstract = {Reproducibility is a fundamental pillar in science but it has recently been described as hard and challenging to achieve, as stated in numerous editorials and papers, some of which alert on a “reproducibility crisis”. In this article we outline 1/ the approach taken to put Reproducible Research (RR) in the agenda of the GIScience community, 2/ first actions and initial lessons learned towards the discussion and adoption of RR principles and practices in the workflows and habits of researchers, and finally, we present 3/ our short-term strategy (two years) and specific actions to achieve the main goal of making RR an integral part of scientific workflows of the GIScience community.},
keywords = {Reproducible research, RyC-Granell},
pubstate = {published},
tppubtype = {article}
}

@article{Granell2018,
title = {Reproducible research and GIScience: an evaluation using AGILE conference papers},
author = {Daniel Nüst and Carlos Granell-Canut and Barbara Hofer and Markus Konkol and Frank O Ostermann and Rusne Sileryte and Valentina Cerutti},
url = {https://doi.org/10.7717/peerj.5072},
doi = {10.7717/peerj.5072},
issn = {2167-8359},
year = {2018},
date = {2018-01-01},
journal = {PeerJ},
volume = {6},
pages = {e5072},
keywords = {AGILE, Data science, GIScience, Open access, Open science, Reproducible research},
pubstate = {published},
tppubtype = {article}
}