Semantically enhanced provenance capture for chamber model development with a master chemical mechanism

Abstract

The development and maintenance of benchmark databases within scientific communities is reliant on interactions with database users.We explore the role of semantically enhanced provenance for computational modelling processes that make use of one such database: the master chemical mechanism, a key resource within the atmospheric chemistry community

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    This paper was published in White Rose Research Online.

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