36 citations · 148 across the 24 of their papers we have counts for
3 papers · 1 filter
PUG: A Framework and Practical Implementation for Why & Why-Not Provenance (extended version)
Seokki Lee, Bertram Ludaescher, Boris Glavic
Explaining why an answer is (or is not) returned by a query is important for many applications including auditing, debugging data and queries, and answering hypothetical questions…
Validation and Inference of Schema-Level Workflow Data-Dependency Annotations
Shawn Bowers, Timothy McPhillips, Bertram Ludäscher
An advantage of scientific workflow systems is their ability to collect runtime provenance information as an execution trace. Traces include the computation steps invoked as part o…
Computing Environments for Reproducibility: Capturing the "Whole Tale"
Adam Brinckman, Kyle Chard, Niall Gaffney +11
The act of sharing scientific knowledge is rapidly evolving away from traditional articles and presentations to the delivery of executable objects that integrate the data and compu…