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

Research output: Contribution to conference › Paper

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
Pages	3045-3051
Number of pages	6
DOIs	https://doi.org/10.1109/BigData.2016.7840958
Publication status	Published - Dec 2016
Event	2016 IEEE International Conference on Big Data (Big Data) - Washington DC, United States Duration: 5 Dec 2016 → 8 Dec 2016

Conference

Conference	2016 IEEE International Conference on Big Data (Big Data)
Country/Territory	United States
City	Washington DC
Period	5/12/16 → 8/12/16

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10.1109/BigData.2016.7840958

http://ieeexplore.ieee.org/document/7840958/

Cite this

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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.",

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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.

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DO - 10.1109/BigData.2016.7840958

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T2 - 2016 IEEE International Conference on Big Data (Big Data)

Y2 - 5 December 2016 through 8 December 2016

ER -

Facilitating reproducible research by investigating computational metadata

Abstract

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