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A user-orientated approach to provenance capture and representation for in silico experiments, explored within the atmospheric chemistry community

Martin, Chris J.; Haji, Mohammed H.; Jimack, Peter K.; Pilling, Michael J. and Dew, Peter M. (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(1898) pp. 2753–2770.

DOI (Digital Object Identifier) Link: https://doi.org/10.1098/rsta.2009.0044
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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.

Item Type: Journal Item
Copyright Holders: 2009 The Royal Society
ISSN: 1471-2962
Keywords: provenance; Semantic Web; atmospheric chemistry
Academic Unit/School: Faculty of Business and Law (FBL)
Item ID: 40080
Depositing User: Chris Martin
Date Deposited: 30 Apr 2014 12:46
Last Modified: 07 Dec 2018 10:23
URI: http://oro.open.ac.uk/id/eprint/40080
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