2 citations · 6 across the 6 of their papers we have counts for
6 papers
ReproScore: Separating Readiness from Outcome in Research Software Reproducibility Assessment
Sheeba Samuel, Daniel Mietchen, Jungsan Kim +2
Digital libraries curate millions of research software artefacts yet lack scalable infrastructure for assessing whether those artefacts remain executable. Existing automated assess…
Containing the Reproducibility Gap: Automated Repository-Level Containerization for Scholarly Jupyter Notebooks
Sheeba Samuel, Daniel Mietchen, Hemanta Lo +1
Computational reproducibility is fundamental to trustworthy science, yet remains difficult to achieve in practice across various research workflows, including Jupyter notebooks pub…
FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset
Sheeba Samuel, Daniel Mietchen
The way in which data are shared can affect their utility and reusability. Here, we demonstrate how data that we had previously shared in bulk can be mobilized further through a kn…
Biomedical Open Source Software: Crucial Packages and Hidden Heroes
Eva Maxfield Brown, Stephan Druskat, Laurent Hébert-Dufresne +5
Despite the importance of scientific software for research, it is often not formally recognized and rewarded. This is especially true for foundational libraries, which are hidden b…
Making Mathematical Research Data FAIR: A Technology Overview
Tim Conrad, Eloi Ferrer, Daniel Mietchen +3
The sharing and citation of research data is becoming increasingly recognized as an essential building block in scientific research across various fields and disciplines. Sharing r…
Bravo MaRDI: A Wikibase Powered Knowledge Graph on Mathematics
Moritz Schubotz, Eloi Ferrer, Johannes Stegmüller +4
Mathematical world knowledge is a fundamental component of Wikidata. However, to date, no expertly curated knowledge graph has focused specifically on contemporary mathematics. Add…