Researchers and data scientists frequently want to collaborate on machine learning models. However, in the presence of sharing and simultaneous experimentation, it is challenging both to determine if two models were trained identically and to …
Recent studies demonstrated that the reproducibility of previously published computational experiments is inadequate. Many of these published computational experiments never recorded or preserved their computational environment, including packages …
To be useful, scientific results must be reproducible and trustworthy. Data provenance—the history of data and how it was computed—underlies reproducibility of, and trust in, data analyses. Our work focuses on collecting data provenance from R …