Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Context: In scientific software, the inability to reproduce results is often due to technical
issues and challenges in recreating the full computational workflow from the original …

Over the past decade, there has been a significant increase in the development of visual
analytics systems dedicated to addressing urban issues. These systems distill intricate …

The number of reproduction and replication studies undertaken across the sciences
continues to rise, but such studies have not yet become commonplace in geography …

With the recognized crisis of credibility in scientific research, there is a growth of
reproducibility studies in computer science, and although existing surveys have reviewed …

Rigour is crucial for scientific research as it ensures the reproducibility and validity of results
and findings. Despite its importance, little work exists on modelling rigour computationally …

Transparent reporting of research is a crucial aspect of good scientific practice and
contributes to trustworthy science. Transparency helps to understand research processes …

Scientific papers, as pivotal tools for academic communication, should be articulated with
clarity and precision to ensure the effective conveyance of scholarly ideas and to prevent …

The increasing reliance on machine learning models in scientific research and day-to-day
applications–and the near-opacity of their associated computational methods–creates a …

Computer scientists often publish their source code accompanying their publications,
prominently using code repositories across various domains. Despite the concurrent …