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Computing environments for reproducibility: Capturing the "Whole Tale"

Brinckman, Adam, Chard, Kyle, Gaffney, Niall, Hategan, Mihael, Jones, Matthew B., Kowalik, Kacper, Kulasekaran, Sivakumar, Ludäscher, Bertram, Mecum, Bryce D., Nabrzyski, Jarek, Stodden, Victoria, Taylor, Ian J., Turk, Matthew J. and Turner, Kandace 2019. Computing environments for reproducibility: Capturing the "Whole Tale". Future Generation Computer Systems 94 , pp. 854-867. 10.1016/j.future.2017.12.029

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Abstract

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 computational details (e.g., scripts and workflows) upon which the findings rely. This envisioned coupling of data and process is essential to advancing science but faces technical and institutional barriers. The Whole Tale project aims to address these barriers by connecting computational, data-intensive research efforts with the larger research process—transforming the knowledge discovery and dissemination process into one where data products are united with research articles to create “living publications” or tales. The Whole Tale focuses on the full spectrum of science, empowering users in the long tail of science, and power users with demands for access to big data and compute resources. We report here on the design, architecture, and implementation of the Whole Tale environment.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Elsevier
ISSN: 0167-739X
Date of First Compliant Deposit: 7 March 2018
Date of Acceptance: 22 December 2017
Last Modified: 28 Jun 2019 00:58
URI: http://orca-mwe.cf.ac.uk/id/eprint/109724

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