Semantically enhanced provenance capture for chamber model development with a master chemical mechanism.
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.
Martin
Chris J
CJ
School of Chemistry, University of Leeds, Leeds LS2 9JT, UK. c.j.martin05@leeds.ac.uk
Haji
Mohammed H
MH
Dew
Peter M
PM
Pilling
Michael J
MJ
Jimack
Peter K
PK
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