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Title: Computing environments for reproducibility: Capturing the “Whole Tale”

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.

Authors:
 [1];  [2];  [3];  [2];  [4];  [5];  [3];  [6];  [4];  [1];  [6];  [7];  [6];  [5]
  1. Univ. of Notre Dame, IN (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States)
  3. Univ. of Texas, Austin, TX (United States)
  4. Univ. of California, Santa Barbara, CA (United States)
  5. Univ. of Illinois, Urbana-Champaign, IL (United States). National Center for Supercomputing Applications (NCSA)
  6. Univ. of Illinois, Urbana-Champaign, IL (United States). National Center for Supercomputing Applications (NCSA); Univ. of Illinois, Urbana-Champaign, IL (United States). School of Information Sciences
  7. Univ. of Notre Dame, IN (United States); Cardiff Univ. (United Kingdom)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Science Foundation (NSF); USDOE
OSTI Identifier:
1559118
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Future Generations Computer Systems
Additional Journal Information:
Journal Volume: 94; Journal Issue: C; Journal ID: ISSN 0167-739X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; code sharing; data sharing; living publications; provenance; reproducibility

Citation Formats

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. Computing environments for reproducibility: Capturing the “Whole Tale”. United States: N. p., 2018. Web. doi:10.1016/j.future.2017.12.029.
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., & Turner, Kandace. Computing environments for reproducibility: Capturing the “Whole Tale”. United States. doi:10.1016/j.future.2017.12.029.
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. Sat . "Computing environments for reproducibility: Capturing the “Whole Tale”". United States. doi:10.1016/j.future.2017.12.029. https://www.osti.gov/servlets/purl/1559118.
@article{osti_1559118,
title = {Computing environments for reproducibility: Capturing the “Whole Tale”},
author = {Brinckman, Adam and Chard, Kyle and Gaffney, Niall and Hategan, Mihael and Jones, Matthew B. and Kowalik, Kacper and Kulasekaran, Sivakumar and Ludäscher, Bertram and Mecum, Bryce D. and Nabrzyski, Jarek and Stodden, Victoria and Taylor, Ian J. and Turk, Matthew J. and Turner, Kandace},
abstractNote = {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.},
doi = {10.1016/j.future.2017.12.029},
journal = {Future Generations Computer Systems},
number = C,
volume = 94,
place = {United States},
year = {2018},
month = {2}
}

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