Intermediate notation for provenance and workflow reproducibility

Danius T. Michaelides; Richard M A Parker; Christopher M J Charlton; William J. Browne; Luc Moreau

doi:10.1007/978-3-319-40593-3_7

Intermediate notation for provenance and workflow reproducibility

Danius T. Michaelides^*, Richard M A Parker, Christopher M J Charlton, William J. Browne, Luc Moreau

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

4 Citations (Scopus)

297 Downloads (Pure)

Abstract

We present a technique to capture retrospective provenance across a number of tools in a statistical software suite. Our goal is to facilitate portability of processes between the tools to enhance usability and to support reproducibility. We describe an intermediate notation to aid runtime capture of provenance and demonstrate conversion to an executable and editable workflow. The notation is amenable to conversion to PROV via a template expansion mechanism. We discuss the impact on our system of recording this intermediate notation in terms of runtime performance and also the benefits it brings.

Original language	English
Title of host publication	Provenance and Annotation of Data and Processes
Subtitle of host publication	6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings
Editors	Marta Mattoso, Boris Glavic
Publisher	Springer Verlag
Pages	83-94
Number of pages	12
ISBN (Electronic)	9783319405933
ISBN (Print)	9783319405926
DOIs	https://doi.org/10.1007/978-3-319-40593-3_7
Publication status	Published - 4 Jun 2016
Event	6th International Provenance and Annotation Workshop, IPAW 2016 - McLean, United States Duration: 7 Jun 2016 → 8 Jun 2016

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	9672
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Provenance and Annotation Workshop, IPAW 2016
Country/Territory	United States
City	McLean
Period	7/06/16 → 8/06/16

Research Groups and Themes

Jean Golding

Access to Document

10.1007/978-3-319-40593-3_7

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer at http://link.springer.com/chapter/10.1007%2F978-3-319-40593-3_7. Please refer to any applicable terms of use of the publisher.
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Michaelides, D. T., Parker, R. M. A., Charlton, C. M. J., Browne, W. J., & Moreau, L. (2016). Intermediate notation for provenance and workflow reproducibility. In M. Mattoso, & B. Glavic (Eds.), Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings (pp. 83-94). (Lecture Notes in Computer Science; Vol. 9672). Springer Verlag. https://doi.org/10.1007/978-3-319-40593-3_7

Michaelides, Danius T. ; Parker, Richard M A ; Charlton, Christopher M J et al. / Intermediate notation for provenance and workflow reproducibility. Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. editor / Marta Mattoso ; Boris Glavic. Springer Verlag, 2016. pp. 83-94 (Lecture Notes in Computer Science).

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title = "Intermediate notation for provenance and workflow reproducibility",

abstract = "We present a technique to capture retrospective provenance across a number of tools in a statistical software suite. Our goal is to facilitate portability of processes between the tools to enhance usability and to support reproducibility. We describe an intermediate notation to aid runtime capture of provenance and demonstrate conversion to an executable and editable workflow. The notation is amenable to conversion to PROV via a template expansion mechanism. We discuss the impact on our system of recording this intermediate notation in terms of runtime performance and also the benefits it brings.",

author = "Michaelides, {Danius T.} and Parker, {Richard M A} and Charlton, {Christopher M J} and Browne, {William J.} and Luc Moreau",

year = "2016",

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doi = "10.1007/978-3-319-40593-3_7",

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series = "Lecture Notes in Computer Science",

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pages = "83--94",

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Michaelides, DT, Parker, RMA , Charlton, CMJ , Browne, WJ & Moreau, L 2016, Intermediate notation for provenance and workflow reproducibility. in M Mattoso & B Glavic (eds), Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Lecture Notes in Computer Science, vol. 9672, Springer Verlag, pp. 83-94, 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, United States, 7/06/16. https://doi.org/10.1007/978-3-319-40593-3_7

Intermediate notation for provenance and workflow reproducibility. / Michaelides, Danius T.; Parker, Richard M A ; Charlton, Christopher M J et al.
Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. ed. / Marta Mattoso; Boris Glavic. Springer Verlag, 2016. p. 83-94 (Lecture Notes in Computer Science; Vol. 9672).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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T1 - Intermediate notation for provenance and workflow reproducibility

AU - Michaelides, Danius T.

AU - Parker, Richard M A

AU - Charlton, Christopher M J

AU - Browne, William J.

AU - Moreau, Luc

PY - 2016/6/4

Y1 - 2016/6/4

N2 - We present a technique to capture retrospective provenance across a number of tools in a statistical software suite. Our goal is to facilitate portability of processes between the tools to enhance usability and to support reproducibility. We describe an intermediate notation to aid runtime capture of provenance and demonstrate conversion to an executable and editable workflow. The notation is amenable to conversion to PROV via a template expansion mechanism. We discuss the impact on our system of recording this intermediate notation in terms of runtime performance and also the benefits it brings.

AB - We present a technique to capture retrospective provenance across a number of tools in a statistical software suite. Our goal is to facilitate portability of processes between the tools to enhance usability and to support reproducibility. We describe an intermediate notation to aid runtime capture of provenance and demonstrate conversion to an executable and editable workflow. The notation is amenable to conversion to PROV via a template expansion mechanism. We discuss the impact on our system of recording this intermediate notation in terms of runtime performance and also the benefits it brings.

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U2 - 10.1007/978-3-319-40593-3_7

DO - 10.1007/978-3-319-40593-3_7

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:84976612163

SN - 9783319405926

T3 - Lecture Notes in Computer Science

SP - 83

EP - 94

BT - Provenance and Annotation of Data and Processes

A2 - Mattoso, Marta

A2 - Glavic, Boris

PB - Springer Verlag

T2 - 6th International Provenance and Annotation Workshop, IPAW 2016

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Michaelides DT, Parker RMA , Charlton CMJ , Browne WJ, Moreau L. Intermediate notation for provenance and workflow reproducibility. In Mattoso M, Glavic B, editors, Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Springer Verlag. 2016. p. 83-94. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-40593-3_7

Intermediate notation for provenance and workflow reproducibility

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