Recent decades have witnessed a massive increase in the volume and quality of hydrologic
data available to aid water resources decision makers, managers, and scientists. This has …

The open science movement continues to gain momentum, attention, and discussion.
However, there are a number of different interpretations, viewpoints, and perspectives as to …

Software reproducibility is important for re-usability and the cumulative progress of research.
An important manifestation of unreproducible software is the changed outcome of software …

Data provenance has evolved from a niche topic to a mainstream area of research in
databases and other research communities. This article gives a comprehensive introduction …

Biomedical simulations are widely used to understand disease, engineer cells, and model
cellular processes. In this article, we explore how to improve the quality of biomedical …

Creating online data repositories that follow Findable, Accessible, Interoperable, and
Reusable (FAIR) principles has been a significant focus in the research community to …

Despite the growing acknowledgment of reproducibility crisis in computational science,
there is still a lack of clarity around what exactly constitutes a reproducible or replicable …

Software defect datasets are crucial to facilitating the evaluation and comparison of
techniques in fields such as fault localization, test generation, and automated program …

Simulation experiments are typically conducted repeatedly during the model development
process, for example, to revalidate if a behavioral property still holds after several model …

The reproducibility of computational environmental models is an important challenge that
calls for open and reusable code and data, well-documented workflows, and controlled …