Facilitating reproducible research by investigating computational metadata

Priyaa Thavasimani; Paolo Missier

doi:10.1109/BigData.2016.7840958

Facilitating reproducible research by investigating computational metadata

Priyaa Thavasimani, Paolo Missier

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
Editors	Ronay Ak, George Karypis, Yinglong Xia, Xiaohua Tony Hu, Philip S. Yu, James Joshi, Lyle Ungar, Ling Liu, Aki-Hiro Sato, Toyotaro Suzumura, Sudarsan Rachuri, Rama Govindaraju, Weijia Xu
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3045-3051
Number of pages	7
ISBN (Electronic)	9781467390040
DOIs	https://doi.org/10.1109/BigData.2016.7840958
Publication status	Published - 2016
Event	4th IEEE International Conference on Big Data, Big Data 2016 - Washington, United States Duration: 5 Dec 2016 → 8 Dec 2016

Publication series

Name	Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

Conference

Conference	4th IEEE International Conference on Big Data, Big Data 2016
Country/Territory	United States
City	Washington
Period	5/12/16 → 8/12/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Metadata
NoWorkflow
Reproducibility
Why-Diff
YesWorkflow

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Hardware and Architecture

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/BigData.2016.7840958

Cite this

Thavasimani, P., & Missier, P. (2016). Facilitating reproducible research by investigating computational metadata. In R. Ak, G. Karypis, Y. Xia, X. T. Hu, P. S. Yu, J. Joshi, L. Ungar, L. Liu, A.-H. Sato, T. Suzumura, S. Rachuri, R. Govindaraju, & W. Xu (Eds.), Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016 (pp. 3045-3051). Article 7840958 (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/BigData.2016.7840958

Thavasimani, Priyaa ; Missier, Paolo. / Facilitating reproducible research by investigating computational metadata. Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. editor / Ronay Ak ; George Karypis ; Yinglong Xia ; Xiaohua Tony Hu ; Philip S. Yu ; James Joshi ; Lyle Ungar ; Ling Liu ; Aki-Hiro Sato ; Toyotaro Suzumura ; Sudarsan Rachuri ; Rama Govindaraju ; Weijia Xu. Institute of Electrical and Electronics Engineers (IEEE), 2016. pp. 3045-3051 (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016).

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title = "Facilitating reproducible research by investigating computational metadata",

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.",

keywords = "Metadata, NoWorkflow, Reproducibility, Why-Diff, YesWorkflow",

author = "Priyaa Thavasimani and Paolo Missier",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Big Data, Big Data 2016 ; Conference date: 05-12-2016 Through 08-12-2016",

year = "2016",

doi = "10.1109/BigData.2016.7840958",

language = "English",

series = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "3045--3051",

editor = "Ronay Ak and George Karypis and Yinglong Xia and Hu, {Xiaohua Tony} and Yu, {Philip S.} and James Joshi and Lyle Ungar and Ling Liu and Aki-Hiro Sato and Toyotaro Suzumura and Sudarsan Rachuri and Rama Govindaraju and Weijia Xu",

booktitle = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",

}

Thavasimani, P & Missier, P 2016, Facilitating reproducible research by investigating computational metadata. in R Ak, G Karypis, Y Xia, XT Hu, PS Yu, J Joshi, L Ungar, L Liu, A-H Sato, T Suzumura, S Rachuri, R Govindaraju & W Xu (eds), Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016., 7840958, Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016, Institute of Electrical and Electronics Engineers (IEEE), pp. 3045-3051, 4th IEEE International Conference on Big Data, Big Data 2016, Washington, United States, 5/12/16. https://doi.org/10.1109/BigData.2016.7840958

Facilitating reproducible research by investigating computational metadata. / Thavasimani, Priyaa; Missier, Paolo.
Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. ed. / Ronay Ak; George Karypis; Yinglong Xia; Xiaohua Tony Hu; Philip S. Yu; James Joshi; Lyle Ungar; Ling Liu; Aki-Hiro Sato; Toyotaro Suzumura; Sudarsan Rachuri; Rama Govindaraju; Weijia Xu. Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 3045-3051 7840958 (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Facilitating reproducible research by investigating computational metadata

AU - Thavasimani, Priyaa

AU - Missier, Paolo

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Metadata

KW - NoWorkflow

KW - Reproducibility

KW - Why-Diff

KW - YesWorkflow

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M3 - Conference contribution

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T3 - Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

SP - 3045

EP - 3051

BT - Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

A2 - Ak, Ronay

A2 - Karypis, George

A2 - Xia, Yinglong

A2 - Hu, Xiaohua Tony

A2 - Yu, Philip S.

A2 - Joshi, James

A2 - Ungar, Lyle

A2 - Liu, Ling

A2 - Sato, Aki-Hiro

A2 - Suzumura, Toyotaro

A2 - Rachuri, Sudarsan

A2 - Govindaraju, Rama

A2 - Xu, Weijia

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 4th IEEE International Conference on Big Data, Big Data 2016

Y2 - 5 December 2016 through 8 December 2016

ER -

Thavasimani P, Missier P. Facilitating reproducible research by investigating computational metadata. In Ak R, Karypis G, Xia Y, Hu XT, Yu PS, Joshi J, Ungar L, Liu L, Sato AH, Suzumura T, Rachuri S, Govindaraju R, Xu W, editors, Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Institute of Electrical and Electronics Engineers (IEEE). 2016. p. 3045-3051. 7840958. (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016). doi: 10.1109/BigData.2016.7840958

Facilitating reproducible research by investigating computational metadata

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this