Containers for computational reproducibility
The fast-paced development of computational tools has enabled tremendous scientific
progress in recent years. However, this rapid surge of technological capability also comes at …
progress in recent years. However, this rapid surge of technological capability also comes at …
Reproducible research in R: A tutorial on how to do the same thing more than once
Simple Summary Reproducibility has long been considered integral to the scientific method.
An analysis is considered reproducible if an independent person can obtain the same …
An analysis is considered reproducible if an independent person can obtain the same …
Ten simple rules for writing Dockerfiles for reproducible data science
Computational science has been greatly improved by the use of containers for packaging
software and data dependencies. In a scholarly context, the main drivers for using these …
software and data dependencies. In a scholarly context, the main drivers for using these …
Packaging data analytical work reproducibly using R (and friends)
Computers are a central tool in the research process, enabling complex and large-scale
data analysis. As computer-based research has increased in complexity, so have the …
data analysis. As computer-based research has increased in complexity, so have the …
Computational reproducibility via containers in psychology
A Clyburne-Sherin, X Fei, SA Green - Meta-psychology, 2019 - conferences.lnu.se
Scientific progress relies on the replication and reuse of research. Recent studies suggest,
however, that sharing code and data does not suffice for computational reproducibility …
however, that sharing code and data does not suffice for computational reproducibility …
Computational reproducibility in geoscientific papers: Insights from a series of studies with geoscientists and a reproduction study
Reproducibility is a cornerstone of science and thus for geographic research as well.
However, studies in other disciplines such as biology have shown that published work is …
However, studies in other disciplines such as biology have shown that published work is …
Develo** an automated iterative near‐term forecasting system for an ecological study
Most forecasts for the future state of ecological systems are conducted once and never
updated or assessed. As a result, many available ecological forecasts are not based on the …
updated or assessed. As a result, many available ecological forecasts are not based on the …
Implementing GitHub actions continuous integration to reduce error rates in ecological data collection
Accurate field data are essential to understanding ecological systems and forecasting their
responses to global change. Yet, data collection errors are common, and data analysis often …
responses to global change. Yet, data collection errors are common, and data analysis often …
Functional R code is rare in species distribution and abundance papers
Analytic reproducibility is important for scientific credibility in ecology, but the extent to which
scientific literature meets this criterion is not well understood. We surveyed 497 papers …
scientific literature meets this criterion is not well understood. We surveyed 497 papers …
eplusr: A framework for integrating building energy simulation and data-driven analytics
Building energy simulation (BES) has been widely adopted for the investigation of building
environmental and energy performance for different design and retrofit alternatives. Data …
environmental and energy performance for different design and retrofit alternatives. Data …