9 citations · 17 across the 3 of their papers we have counts for
5 papers
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform
Kyle Chard, Niall Gaffney, Mihael Hategan +9
Whole Tale http://wholetale.org is a web-based, open-source platform for reproducible research supporting the creation, sharing, execution, and verification of "Tales" for the scie…
Ambitious Data Science Can Be Painless
Hatef Monajemi, Riccardo Murri, Eric Jonas +3
Modern data science research can involve massive computational experimentation; an ambitious PhD in computational fields may do experiments consuming several million CPU hours. Tra…
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…
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments
Bertram Ludaescher, Kyle Chard, Niall Gaffney +4
We present an overview of the recently funded "Merging Science and Cyberinfrastructure Pathways: The Whole Tale" project (NSF award #1541450). Our approach has two nested goals: 1)…
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE
Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52
This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…