Computational reproducibility is a simple premise in theory, but is difficult to achieve in
practice. Building upon past efforts and proposals to maximize reproducibility and rigor in …

This article presents a study on the quality and execution of research code from publicly-
available replication datasets at the Harvard Dataverse repository. Research code is …

Reproducibility is fundamental to science, and an important component of reproducibility is
computational reproducibility: the ability of a researcher to recreate the results of a published …

Ensuring the reproducibility of computational scientific experiments is crucial for advancing
research and fostering scientific integrity. However, achieving reproducibility poses …

In recent years, the research community has raised serious questions about the
reproducibility of scientific work. In particular, since many studies include some kind of …

Data provenance is the history of an item of data from the point of its creation to its present
state. It can support science by improving understanding of and confidence in data …

Reproducibility is a fundamental requirement of the scientific process since it enables
outcomes to be replicated and verified. Computational scientific experiments can benefit …

In recent years, the research community has raised serious questions about the replicability
and reproducibility of scientific work. In particular, since many studies include some kind of …

In this study, I investigate how research communities are addressing concerns about the
quality and rigor of computational research. I focus specifically on initiatives to expand the …

Ensuring the reproducibility of computational scientific experiments is crucial for advancing
research and fostering scientific integrity. However, achieving reproducibility poses …