A key aspect of neuroscience research is the development of powerful, general-purpose data analyses that process large datasets. Unfortunately, modern data analyses have a …
We carry out efforts to reproduce computational results for seven published articles and identify barriers to computational reproducibility. We then derive three principles to guide the …
Although reproducibility is a core tenet of the scientific method, it remains challenging to reproduce many results. Tiwari et al. recently found that they could only repeat 50% of …
In computing, research findings are often anecdotally faulted for not being reproducible. Numerous empirical studies have analyzed the reproducibility of a variety of research. Our …
Computational modeling occupies a unique niche in Earth and environmental sciences. Models serve not just as scientific technology and infrastructure but also as digital containers …
C Willis, V Stodden - Harvard Data Science Review, 2021 - par.nsf.gov
This article distills findings from a qualitative study of seven reproducibility initiatives to enumerate nine key decision points for journals seeking to address concerns about the …
Research software has become essential in science, including in the life sciences [1, 2]. Most of this software is designed and built by research groups funded by short-term research …
During the COVID-19 pandemic, mathematical modeling of disease transmission has become a cornerstone of key state decisions. To advance the state-of-the-art host viral …
J Sun, A Patil, Y Li, JLC Guo, S Zhou - arXiv preprint arXiv:2402.15081, 2024 - arxiv.org
Scientific open-source software (OSS) has greatly benefited research communities through its transparent and collaborative nature. Given its critical role in scientific research, ensuring …