Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments
Bertram Ludaescher, Kyle Chard, Niall Gaffney, Matthew B. Jones,, Jaroslaw Nabrzyski, Victoria Stodden, Matthew Turk

TL;DR
This paper discusses the Whole Tale project, which aims to enhance reproducibility in computational research by creating an environment that links research data, code, and workflows with publications, fostering collaboration and transparency.
Contribution
It introduces a novel environment that systematically connects research artifacts with publications, enabling comprehensive and reproducible scientific narratives.
Findings
Development of a collaborative research environment
Persistent linking of data, code, and publications
Facilitation of reproducible computational research
Abstract
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) deliver an environment that enables researchers to create a complete narrative of the research process including exposure of the data-to-publication lifecycle, and 2) systematically and persistently link research publications to their associated digital scholarly objects such as the data, code, and workflows. To enable this, Whole Tale will create an environment where researchers can collaborate on data, workspaces, and workflows and then publish them for future adoption or modification. Published data and applications will be consumed either directly by users using the Whole Tale environment or can be integrated into existing or future domain Science Gateways.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Distributed and Parallel Computing Systems
