A user-orientated approach to provenance capture and representation for in silico experiments, explored within the atmospheric chemistry community.
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.
Martin
Chris J
CJ
School of Chemistry, University of Leeds, Leeds LS2 9JT, UK. christopher.martin@environment-agency.gov.uk
Haji
Mohammed H
MH
Jimack
Peter K
PK
Pilling
Michael J
MJ
Dew
Peter M
PM
D003198:Computer Simulation; D012984:Software