title: 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.
authors.affiliation: School of Chemistry, University of Leeds, Leeds LS2 9JT, UK. c.j.martin05@leeds.ac.uk
authors.forename: Chris J
authors.initials: CJ
authors.lastname: Martin
authors.forename: Mohammed H
authors.initials: MH
authors.lastname: Haji
authors.forename: Peter M
authors.initials: PM
authors.lastname: Dew
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Pilling
authors.forename: Peter K
authors.initials: PK
authors.lastname: Jimack
mesh_terms: D001272:Atmosphere / Q000737:chemistry*; D003198:Computer Simulation; D016208:Databases, Factual; D004463:Ecology / Q000379:methods* / Q000639:trends; D033181:Information Dissemination / Q000379:methods*; D020407:Internet; D008956:Models, Chemical; D012660:Semantics; D012984:Software