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Facilitating Reproducible Research by Investigating Computational Metadata

Lookup NU author(s): Priyaa Thavasimani, Dr Paolo Missier

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Abstract

Computational workflows consist of a series of steps in which data is generated, manipulated, analysed and transformed. Researchers use tools and techniques to capture the provenance associated with the data to aid reproducibility. The metadata collected not only helps in reproducing the computation but also aids in comparing the original and reproduced computations. In this paper, we present an approach, “Why-Diff”, to analyse the difference between two related computations by changing the artifacts and how the existing tools “YesWorkflow” and “NoWorkflow” record the changed artifacts.


Publication metadata

Author(s): Thavasimani P, Missier P

Editor(s): James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2016 IEEE International Conference on Big Data

Year of Conference: 2016

Pages: 3045 - 3051

Online publication date: 06/02/2017

Acceptance date: 01/01/2017

Publisher: Institute of Electrical and Electronics Engineers

URL: https://doi.org/10.1109/BigData.2016.7840958

DOI: 10.1109/BigData.2016.7840958

Library holdings: Search Newcastle University Library for this item

ISBN: 9781467390057


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