Martin, CJ, Haji, MH, Jimack, PK et al. (2 more authors) (2009) A user-orientated approach to provenance capture and representation for in silico experiments, explored within the atmospheric chemistry community. Philosophical Transactions of the Royal Society A. Mathematical, Physical and Engineering Sciences, 367. 2753 - 2770 . ISSN 1364-503X
Abstract
We present a novel user-orientated approach to provenance capture and representation for in silico experiments, contrasted against the more systems-orientated approaches that have been typical within the e-Science domain. In our approach, we seek to capture the scientist's reasoning in the form of annotations as an experiment evolves, while using the scientist's terminology in the representation of process provenance. Our user-orientated approach is applied in a case study within the atmospheric chemistry domain: we consider the design, development and evaluation of an electronic laboratory notebook, a provenance capture and storage tool, for iterative model development.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2009 The Royal Society. This is an author produced version of a paper subsequently published in 'Philosophical Transactions of the Royal Society A. Mathematical, Physical and Engineering Sciences'. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Mar 2012 10:57 |
Last Modified: | 04 Nov 2016 02:31 |
Published Version: | http://dx.doi.org/10.1098/rsta.2009.0044 |
Status: | Published |
Publisher: | The Royal Society |
Identification Number: | 10.1098/rsta.2009.0044 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:43751 |