Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

This study explores how researchers' analytical choices affect the reliability of scientific
findings. Most discussions of reliability problems in science focus on systematic biases. We …

To improve the sharing and reuse of research software, the FAIR for Research Software
(FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data …

Background The trend toward open science increases the pressure on authors to provide
access to the source code and data they used to compute the results reported in their …

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 …

The demand for reproducible research is on the rise in disciplines concerned with data
analysis and computational methods. Therefore, we reviewed current recommendations for …

Reproducible research is often perceived as a technological challenge, but it is rooted in the
challenge to improve scholarly communication in an age of digitization. When computers …

Environmental sensors have continuously improved by becoming smaller, cheaper, and
more intelligent over the past years. As consequence of these technological advancements …

The traditional scientific paper falls short of effectively communicating computational
research. To help improve this situation, we propose a system by which the computational …

A strong movement towards openness has seized science. Open data and methods, open
source software, Open Access, open reviews, and open research platforms provide the legal …