13 citations · 13 across the 5 of their papers we have counts for
3 papers · 1 filter
When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge
Andrés F. Castro Torres, Joan Giner-Miguelez, Mercè Crosas
The extent to which Artificial Intelligence (AI) technologies can trigger generalized paradigm shifts in science is unclear. Although these technologies have revolutionized data co…
Advancing computational reproducibility in the Dataverse data repository platform
Ana Trisovic, Philip Durbin, Tania Schlatter +4
Recent reproducibility case studies have raised concerns showing that much of the deposited research has not been reproducible. One of their conclusions was that the way data repos…
Sharing and Preserving Computational Analyses for Posterity with encapsulator
Thomas Pasquier, Matthew K. Lau, Xueyuan Han +6
Open data and open-source software may be part of the solution to science's "reproducibility crisis", but they are insufficient to guarantee reproducibility. Requiring minimal end-…