Background Jupyter notebooks facilitate the bundling of executable code with its
documentation and output in one interactive environment, and they represent a popular …

The prevalence of government-funded dataset usage has yet to be comprehensively tracked
and understood. The lack of a standardized citation methodology has thus far prevented the …

As an essential mechanism of scientific self-correction, articles are retracted for many
reasons, including errors in processing data and computation of results. In today's data …

While computer science papers frequently include their associated code repositories,
establishing a clear link between papers and their corresponding implementations may be …

Software is a central part of modern science, and knowledge of its use is crucial for the
scientific community with respect to reproducibility and attribution of its developers. Several …

The growing usage of research software in the research community has highlighted the
need to recognize and acknowledge the contributions made not only by researchers but …

The RML mapping language declares schema transformations to map heterogeneous data
into knowledge graphs. Although the schema transformations provided by RML are sufficient …

Motivation Data reuse is a common and vital practice in molecular biology and enables the
knowledge gathered over recent decades to drive discovery and innovation in the life …

Abstract Knowledge extraction from scientific literature is a major issue, crucial to promoting
transparency, reproducibility, and innovation in the research community. In this work, we …

Datasets collecting software mentions from scholarly publications can potentially be used for
research into the software that has been used in the published research, as well as into the …